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TRANSCRIPT
The effects of endophyte-infected tall fescue on production and reproductive performance
parameters of beef cattle and calves
Amber Alease Anderson
Major Project/ Report submitted to the faculty of the Virginia Polytechnic Institute and State
University in partial fulfillment of the requirements for the degree of
Online Master of Agricultural and Life Sciences
In
Plant Science and Pest Management
Pent, Gabriel J.
Fike, John Herschel
Mercadante, Vitor Rodrigues Gomes
December 5th, 2019
Keywords: Fescue toxicosis, reproduction, beef cattle
Amber Alease Anderson
Copyright Dec. 2019
Commented [AA1]: Format to Portuguese (brazil)
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ABSTRACT
Beef cattle production records from two Virginia Department of Corrections herds from 2012-
2019 were analyzed to determine how the cultivar of tall fescue – toxic endophyte-infected or
novel endophyte-infected – impacted cattle productivity metrics. Parameters compared were
artificial insemination pregnancy rates, calving rates, body weights, and body condition scores of
cows and birth weights and weaning weights of calves. The experimental design was a
randomized completed block design with year as the replication. Samples of tall fescue were
collected from the farm locations and tested for total ergot alkaloid concentrations. The samples
from the farm with toxic endophyte-infected tall fescue all contained toxic levels of ergot
alkaloids while the samples from the farm with novel endophyte-infected tall fescue indicated
that half of the pastures at this location did not have toxic levels of total ergot alkaloids. Artificial
insemination pregnancy rates were greater (P = 0.0011) for cows on novel endophyte-infected
tall fescue (52 ± 1%) than for cows on toxic endophyte-infected tall fescue (43 ± 1%). Cows on
novel endophyte-infected tall fescue had greater calving rates (94 ± 1%) than cows on toxic
endophyte-infected tall fescue (89 ± 1%; P=0.0243). Body condition scores and body weights at
pre-breeding were greater for the cows on novel endophyte-infected tall fescue (P=0.0153 and
P = 0.0456, respectively). Birthweights were reduced for calves on toxic endophyte-infected tall
fescue (34 ± 0.9 kg.) than for calves on novel endophyte-infected tall fescue (38 ± 1.4 kg.; P =
0.0257). Calves on novel endophyte-infected tall fescue had greater weaning weights (278 ± 5.9
kg.) than calves on the toxic endophyte-infected tall fescue (254 ± 5.9 kg.; P = 0.0217). Cattle
production was improved on the farm with novel endophyte-infected tall fescue compared to
cattle production on the farm with only toxic endophyte-infected tall fescue.
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Table of Contents ABSTRACT ............................................................................................................................................ 2
List of Tables and Figures: ...................................................................................................................... 5
Tables. ................................................................................................................................................. 5
Figures ................................................................................................................................................ 5
Introduction: ............................................................................................................................................ 6
Literature Review: ................................................................................................................................... 8
Tall Fescue: ........................................................................................................................................ 8
Fescue Toxicosis: ................................................................................................................................ 8
Reproduction: ...................................................................................................................................... 9
Pregnancy Rates ............................................................................................................................ 10
Calving rates. ................................................................................................................................ 11
Growth .............................................................................................................................................. 12
Birth Weight, Weaning Weight, Average Daily Gain ...................................................................... 12
Body Condition Scores and Body weight ........................................................................................ 12
Management Strategies for Toxicosis Mitigation ................................................................................ 13
Animal Management and Genetics ................................................................................................. 13
Stockpiling. .................................................................................................................................... 14
Seed head control and dilution ....................................................................................................... 15
Renovation. .................................................................................................................................... 15
Materials and Methods: ..................................................................................................................... 17
Locations: ......................................................................................................................................... 17
Data Collection: ................................................................................................................................ 18
Breeding data manipulation: ............................................................................................................. 18
Weaning Weight (WW) data manipulation: ........................................................................................ 19
Climatology Data: ............................................................................................................................. 20
Statistical Analysis: ........................................................................................................................... 20
Results: ................................................................................................................................................. 21
Ergot Alkaloid Concentrations: ......................................................................................................... 21
Climatological Data: ......................................................................................................................... 22
Birth Weight: ..................................................................................................................................... 24
Body Condition Score and Body Weight: ........................................................................................... 25
Calving Rate: .................................................................................................................................... 27
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Pregnancy Rate: ................................................................................................................................ 29
Weaning Weight: ............................................................................................................................... 30
Discussion: ............................................................................................................................................ 32
Birth Weight: ..................................................................................................................................... 32
Weaning Weight: ............................................................................................................................... 33
Body Condition Score and Body Weight: ........................................................................................... 33
Pregnancy Rate: ............................................................................................................................... 34
Calving Rate: .................................................................................................................................... 34
Climatological Data: ......................................................................................................................... 35
Implications: ..................................................................................................................................... 35
Appendix A: .......................................................................................................................................... 36
Appendix B ........................................................................................................................................... 38
Appendix C ........................................................................................................................................... 39
Appendix D ........................................................................................................................................... 40
References ............................................................................................................................................. 41
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List of Tables and Figures:
Tables
Table 1: Total ergot alkaloid concentrations (ppb) present in toxic endophyte-infected (E+) or
novel endophyte-infected (NE+) pastures at Coffeewood, Jarratt, and Sky Meadows in
April of 2019 (pg. 22)
Table 2: Average birth weight (kg.) of calves birthed from cows grazing either toxic endophyte-
infected (E+) or novel endophyte-infected (NE+) tall fescue for 2012-2019 (pg. 25)
Table 3: Average body condition score given pre-breeding, at first pregnancy check, and at
second pregnancy check to cows grazing toxic endophyte-infected (E+) or novel
endophyte-infected (NE+) tall fescue for 2012- 2019 (pg. 26)
Table 4: Table 4: Average pre-breeding body weight (kg.) of cows grazing toxic endophyte-infected (E+)
or novel endophyte-infected (NE+) tall fescue from 2012-2019 (pg. 27)
Table 5: Table 5: Calving rate (%) of live calves born from cows grazing toxic endophyte-infected (E+)
or novel endophyte-infected (NE+) tall fescue from 2012-2019 (pg. 28)
Table 6: Table 6: Calving rate (%) of dead calves born to cows grazing toxic endophyte-infected (E+)
or novel endophyte-infected (NE+) tall fescue from 2012-2019 (pg. 29)
Table 7: Table 7: Artificial insemination pregnancy rate (%) for cows grazing toxic endophyte-infected
(E+) or novel endophyte-infected (NE+) tall fescue from 2012- 2019 (pg. 30)
Table 8: Table 8: Average weaning weight of calves grazing or pastured on toxic endophyte-infected
(E+) or novel endophyte-infected (NE+) tall fescue from 2012-2019 (pg. 31)
Table 9: Table 9: Average daily gain (kg.) of calves grazing toxic endophyte-infected (E+) or
novel endophyte-infected (NE+) tall fescue from 2012-2019 (pg. 32)
Figures
Figure 1: Average maximum temperatures for Richmond, VA for each month organized by year
for the years of 2012-2018 (˚C). (pg. 23)
Figure 2: Average minimum temperatures for Richmond, VA for each month organized by year
for the years of 2012-2018 (˚C). (pg. 24)
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Introduction: Tall fescue, (Schedonorus arundinaceus (Schreb.) Dumont., syn. Lolium
arundinaceum (Schreb.) Darbysh., formerly Festuca arundinacea Schreb), is the predominant
cool season forage for cow-calf producers in Virginia and the Southeastern United States. Tall
fescue is grown on approximately 14 million hectares of pasture and hay land. Tall fescue has a
mutualistic symbiosis with a fungus, Neotyphodium coenophialum (Benner, Booher, and Fike,
2018). The relationship between the fungal endophyte and the grass allows the forage to resist
and tolerate insects, drought, low soil fertility, competition from other plants, and overgrazing
(Stuedemann and Hoveland, 1988; Patterson et al., 1995).
Although the fungus benefits the grass, it also causes negative effects to livestock that
consume it (Bacon et al., 1977; Nihsen et al., 2004; Caldwell et al., 2013). The endophyte
produces ergot alkaloids, toxic compounds that cause a suite of symptoms in livestock
collectively known as fescue toxicosis. Bovine fat necrosis, fescue foot, and summer slump are
the three syndromes typical for livestock grazing infected fescue. More generally, ergot alkaloids
cause a reduction in production and reproductive performance. Along with decreased
reproductive efficiency, consumption of ergot alkaloids causes reductions in birth weight,
weaning weight (WW), conception and pregnancy rates, body weight, calving rate (CR), and
body condition score (BCS) (Stuedemann and Hoveland, 1988; Peters et al. 1992; Porter and
Thompson, 1992; Paterson et al., 1995; Nihsen et al., 2004; Watson et al., 2004; Kallenbach,
2013). Fescue toxicosis costs the United States beef industry approximately $2 billion each year
(Strickland et al, 2011; Caldwell et al., 2013; Kallenbach, 2015; Wilson, 2018). Much of this
price is paid in the Southeastern United States which contains a significant portion of the “fescue
belt” and which is home to 12 million head of cattle (Kallenbach 2015). Much of the loss can be
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attributed to decreased calving rates (Caldwell et al., 2013). Reduced conception rates and
weaning weight alone constitute a loss of $609 million each year (Hoveland, 1993).
In this study, records from 2012-2019 of two spring-calving beef herds of the Virginia
Department of Corrections (VADOC) Agribusiness sector were analyzed to compare the
performance of animals which grazed toxic endophyte-infected tall fescue (E+) with those that
grazed novel endophyte-infected tall fescue (NE+). Farms at Coffeewood stocked cattle on E+,
while the farm at Jarratt stocked cattle on NE+. Pregnancy Rate (PR), CR, birth weight, WW,
body weights, BCS, and average daily gain (ADG) were compared for both forage types to
determine the effect of forage type on production and reproductive performance parameters
between cattle consuming E+ versus NE+ tall fescue types. This study is unique in the fact that
2300 head of cattle were analyzed over the course of eight years. Many other research-based
studies have a smaller number of cattle and the trials are completed over a one to three-year
period. The cattle used for this study were all a part of the same agribusiness system within
Virginia.
For this study it was hypothesized that cattle consuming E+ tall fescue will have
decreased reproductive and production performance compared to cattle that consume NE+. To
test this hypothesis, forage samples from each farm location were collected to determine the
difference in total ergot alkaloid concentrations in the forage. Cattle production records were
analyzed to compare differences between E+ tall fescue and NE+ tall fescue in reproductive
performance parameters, including pregnancy rate, calving rate and birthweight, cow condition,
including BCS and pre-breeding body weight, and calf growth, including WW and ADG.
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Literature Review:
Tall Fescue: Tall fescue is the predominant cool-season forage in Virginia and throughout the
Southeastern United States. The forage was likely introduced to the United States from Europe
without particular intention in the 1800s and became increasingly popular after 1930 when the
most popular cultivar, Kentucky 31, was first introduced (Stuedemann and Hoveland, 1988). Tall
became one of the best options for forage producers in the Southeastern United States due to its
ability to establish in and tolerate many environmental conditions (Hoveland, 1993). However,
over time, producers began to notice poor production performance and growth efficiency in
cattle consuming the forage (Beers and Piper, 1987; Stuedemann and Hoveland, 1988).
Fescue Toxicosis:
Tall fescue shares a mutualistic relationship with a fungus known as Neotyphodium
coenophialum (Bacon, Porter, Robbins, and Luttrell, 1977). This fungus is often referred to as an
endophyte, simply meaning “within the plant” (Fike, 2018). The fungus helps the plant survive
droughts, predatory insects, diseases, nematodes, and other pest and environmental conditions
(Stuedemann and Hoveland, 1988; Paterson et al., 1995). The endophyte present in tall fescue
produces ergot alkaloids, including ergovaline. Research suggests ergovaline is the leading cause
of the toxic effects in beef cattle (Strickland et al. 2011).
Cattle consuming E+ tall fescue may exhibit one or more of the following characteristic
symptoms: reductions in weight gain, feed intake, milk production, serum prolactin and
reproductive performance, and corresponding increases in respiration rates, body temperatures,
and salivation, along with a rough hair coat (Paterson et al., 1995; Strickland et al., 2011; Fike
and Pent, 2018; Poole et al., 2019). Fescue toxicosis is a collective set of syndromes, including
fescue foot, summer slump, and bovine fat necrosis. Fescue foot occurs due to reduced blood
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flow to the hooves, resulting in altered vessel architecture. This syndrome is most common
during cold weather, and animals often display a characteristic limp. In extreme cases, vessel
damage and corresponding infection can result in gangrene and the sloughing of the hoof. This
condition occurs due to vasoconstriction of blood vessels. This reduces blood flow to the
extremities of the animal causing swelling in the feet, loss of tips of ears and tail switch (Fike
and Pent, 2018). Another condition is known as summer slump (Fike and Pent, 2018). Summer
slump is characterized by poor animal performance in summer and can be recognized by the
rough hair coats on cattle. Fat necrosis, the third toxicosis syndrome, describes the death and
hardening of fat depots, particularly in the digestive tract. These hard, necrotic tissues can reduce
flow through the digestive tract in cattle (Fike and Pent, 2018).
Reproduction: The effects of ergot alkaloids on reproductive performance in cattle have proven variable
in the many studies conducted to further understand the mechanisms behind the toxicity. Several
studies found no change in calving rate, calving interval, and pregnancy and embryonic losses in
cattle grazing E+ tall fescue (Watson et al., 2004; Burke et al., 2001a). Other research has shown
a difference in reproductive performance (Gay et al., 1988; Porter & Thompson, 1992). Watson
et al. (2004) concluded that reduced temperatures during spring breeding, decreased alkaloid
concentrations, and good body condition present on cows may have caused there to be little-to-
no difference in reproductive performance in cattle grazing toxic E+ or NE+ tall fescue. Gay et
al. (1988) suggested that the increased body temperatures and respiration rates associated with
consuming E+ tall fescue alkaloids may reductions in conception rates and embryo viability in
cattle.
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Pregnancy Rates Cattle grazing E+ tall fescue often have reduced conception and/or
pregnancy rates compared with those consuming non-toxic forages (i.e. NE+ tall fescue,
orchardgrass, common bermudagrass). The ability for a cow to conceive and maintain a viable
pregnancy is the most important aspect of production for cow-calf operations (Eversole, 2009).
Hazlett (1999) indicated that reproductive losses do not occur until after the second week of
pregnancy. Burke et al. (2001b) similarly found that most pregnancy losses for cattle grazing E+
tall fescue occurred between 30-60 days of gestation, the greatest losses occurring during the
first 30-45 days of gestation. Burke et al (2001b) also noted that all of the losses occurred after
the environmental temperature rose above 37.8˚C (100.04˚F) for an extended period of time.
These results suggest that environmental conditions play a role in reproductive performance of
cattle grazing E+ tall fescue.
Pregnancy rates and conception rates are two different metrics used to analyze the
effectiveness of reproduction in a cow herd. Conception rate is calculated as the number of
conceptions at the time of natural mating or artificial insemination (Javic & Conroy, 2001).
Pregnancy rate is calculated as the total number of services given to a specific herd of animals
over a period of time (breeding season) and thus, presented as the percentage of animals pregnant
out of the total number services (AHDB, undated). Burke et al. (2001b) concluded that
differences in environmental temperatures may be a leading cause for the variation in responses
of pregnancy rates in the studies they analyzed. Poole et al. (2018) found that the consumption of
E+ tall fescue seed led to a decrease in uterine and ovarian vessel area which restricted blood
flow to necessary reproductive organs. This decreased blood flow has the potential to reduce the
function of the ovaries and follicles along with reducing conception and pregnancy rates (Poole
et al., 2018). Schmidt et al. (1986) noted that for every 10% increase in percent of infection in E+
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tall fescue, there is a 3.5% decrease in conception rates. First-calf heifers grazing low E+ tall
fescue had a conception rate of 93% while heifers grazing high E+ tall fescue had a conception
rate of 33% (Schmitt et al., 1986)
Calving rates. Schmitt et al. (1986) reported a linear decrease in calving rates for cattle
grazing increasing levels of E+ tall fescue. Gay et al. (1988) also reported similar findings, with
calving rates being greater for cattle grazing pastures with low levels of E+ infection compared
to cattle grazing highly infected tall fescue.
Caldwell et al. (2013) studied the difference between fall-calving cattle and spring-
calving cattle grazing E+ and NE+ tall fescue. The authors found that calving rates increased
36% by converting 25% (75% E+ tall fescue) of the spring-calving pasture to NE+ tall fescue
(Caldwell et al., 2013). For spring calving herds, calving rates did not differ between 25% NE+
and 100% NE+ tall fescue treatments. However, calving interval was extended for the 25% NE+
tall fescue herd (Caldwell et. al., 2013). Fall-calving herds grazing E+ tall fescue pastures had
greater calving rates than spring-calving herds grazing E+ tall fescue. The conversion of pasture
to 25% NE+ tall fescue can increase calving rates of spring-calving herds, but the best option to
increase calving rates is to convert pastures to NE+ tall fescue and/or switch to a fall-calving
season.
Looper et al. (2010) found that calving rates were reduced for cattle grazing E+ tall
fescue (79%) compared with those grazing common bermudagrass (84%), despite good body
condition. In the same study, cattle with marginal body condition pre-breeding had a decreased
calving rate (61%) because these cattle were not able to gain the necessary body condition to
conceive (Looper et al., 2010).
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Growth
Birth Weight, Weaning Weight, Average Daily Gain. Many studies have determined that
cows grazing E+ tall fescue gave birth to calves with reduced birth weights, first-calf heifers, and
weaned calves have a reduction in growth when consuming E+ tall fescue. Patterson (2012)
found that cows grazed on E+ tall fescue gave birth to calves with decreased birth weights
compared to cows grazing common bermudagrass. These results are similar to other studies
(Watson, 2004; Burke et al., 2010). Beers and Piper (1987) found that cows grazing E+ tall
fescue had reductions in ADG and reductions in calving rate and calf birth weights. Similarly,
Schmidt et al. (1986) concluded that heifers grazing E+ tall fescue had decreased conception
rates, milk production, and ADG compared to heifers grazing endophyte-free (E-) tall fescue.
Cattle grazing E+ tall fescue have exhibited a decrease in milk production (Schmidt et al.,
1986; Beers and Piper, 1987; Peters, 1992; Paterson et al., 1995) Peters et al. (1992) found that
cattle produced 25% less milk when grazing E+ tall fescue than cattle grazing other types of
forages. For every 10% increase in infection of E+ tall fescue, daily milk production decreased
by 1.04 kg. (Schmidt et al., 1986). Therefore, WW and ADG of calves are reduced. Peters et al.
(1992) also mentions that WW of calves consuming E+ tall fescue are reduced when compared
to other forage types. The reduction in WW can be linked to reductions in forage intake (Beers
and Piper, 1987). Schmidt et al., (1986) found that by 100 days of age, calves on pastured on and
grazing E+ tall fescue were beginning to show signs of fungal infection levels in the forage.
Body Condition Scores and Body weight. BCS is a common method used to assess the
nutritional status of cattle (Eversole et al., 2009). BCS is completed through visual observation,
then assigning a number corresponding to the visual assessment of the animal. A BCS of 1
means the animal is emaciated with no visible fat and a BCS of 9 means the animal is extremely
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fat and is considered obese with no visible bone structures (Eversole et al., 2009). DeRouen et
al. (1994) studied first-calf heifers to determine a relationship between third trimester of
pregnancy BCS and the nutritional needs of heifers to ensure optimum reproductive
performance. By analyzing pre-partum BCS, the amount of energy needs can be determined to
ensure adequate reproductive performance. DeRouen concluded that cows with diminished BCS
at calving had a longer calving interval and decreased pregnancy rates. Cows that maintain an
optimal BCS in the last trimester and at calving can prevent reductions in growth and
development for heifers being used as replacements (Patterson, 2012).
A BCS, between 5 and 7 is preferred for optimal reproductive performance (Eversole et
al., 2009). Hess et al. (2005) noted that cows with a BCS < 5 at calving had a negative energy
balance in the last trimester of gestation. DeRouen et al. (1994) found that heifers need to be
provided with adequate nutrition to maintain a BCS of ≥ 6 to increase pregnancy rates in spring-
calving herds. Cows with marginal body condition grazing E+ tall fescue during a 60-day
breeding season did not gain any condition throughout the breeding season and therefore had
reduced calving rates (Looper et al., 2010). In the same study, Looper et al. (2010) found that
cows grazing E+ tall fescue had a reduction in BCS at the end of the breeding season compared
to those consuming alternate forages. Weight loss for cattle consuming E+ tall fescue can be
significant. Peters et al. (1992) found that cows grazing E+ tall fescue lost an average of 35 kg.
more than cows grazing E- tall fescue. In some situations, losing 45-91 kg. can be a difference in
a BCS for an animal (Eversole et al., 2009).
Management Strategies for Toxicosis Mitigation
Animal Management and Genetics. Producers in Virginia and the Southeast United States
may benefit from converting from spring-calving systems to a fall-calving system (Campbell et
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al., 2013). In fall-calving systems, cattle perform better because they are not subjected to heat
stress during breeding as occurs in spring-calving systems. Calves will have greater ADG, thus a
greater WW and market weight price. This has the potential to increase profits for producers
(Caldwell et al., 2013). Another option for spring-calving systems is removeing cattle from E+
tall fescue 30 days prior and post breeding (Caldwell et al., 2013)
Whether intentional or not, over time many farmers have selected cattle based on traits of
interest such as slick hair coat, weight gain reproductive success which are associated with a
greater ability to tolerate alkaloids in E+ tall fescue. Producers typically select for traits that
associated with greater productive and reproductive success (e.g., reproductive success, weight
gain, slick hair coat) and such cattle may possess genes that mitigate the effects of fescue
toxicosis. Crossbreeding also may be used to introduce traits associated with greater resistance to
tall fescue toxicosis (Browning, 2013). An example of this would be introducing Senepol
genetics to an Angus herd. Senepol cattle possess a genetic mutation that causes slick hair coats
which prevents the rough hair coat commonly associated with fescue toxicosis (Poole et al.,
2019).
Stockpiling. Stockpiling E+ tall fescue for consumption during winter can benefit cattle and
producers due to increased nutritional quality of the stockpiled fescue, the reduction of hay
needed for winter feeding, and the reduction of ergot alkaloid concentrations in stockpiled fescue
(Poore and Drewnoski, 2010). Ergot alkaloid concentrations decline during the winter. Booher,
Benner and Fiske (2017) discuss the methods of creating a stockpile system to use for winter
grazing. In late summer, begin to strip graze the summer stockpile and apply fertilizers to other
resting pastures to ignite fall growth for winter grazing (Booher, Benner, and Fiske, 2017). Using
this stockpiling system has the potential to extend the grazing season approximately ninety days
15
when compared to conventional systems (Booher, Benner, and Fiske, 2017). Stuedemann and
Hoveland (1988) mentioned that increased nitrogen fertilization caused an increase in ergot
alkaloid concentrations in E+ tall fescue pastures. It is important that producers remain mindful
of this fact and do not over fertilize. Splitting up the total amount of fertilizer needed between
spring and fall applications will help prevent ergot alkaloid concentrations from increasing to
harmful levels.
Seed head control and dilution. Kallenbach (2015) discusses another method to control
ergovaline concentrations by controlling the amount of seed heads present in pastures as the
levels of ergot alkaloids are typically greatest in the seed heads. This can be done by using
chemical and mechanical treatments. Chaparral ® is a newer chemical technology that uses a
growth regulator to suppress seed head growth. When using growth regulators, producers need to
keep in mind that they can also suppress the growth of pasture forages altogether (Kallenbach,
2015). Mowing is a common mechanical technique that is used to control seed heads without the
expense of chemical treatments. Kallenbach (2015) also mentions increasing stocking rates on
E+ tall fescue pastures for a period of time to prevent plant maturation and seed head formation,
being careful not to overstock the pastures for overgrazing. When E+ tall fescue is kept in the
vegetative growth stages ergovaline concentrations are the lowest in the spring and increases
throughout the summer months, with the largest increase in the fall (Rogers et al. 2011). Diluting
pastures with clover can help to increase the nutritional plane of cattle grazing E+ tall fescue.
Pastures can also be interseeded with other non-toxic forages such as orchardgrass,
bermudagrass, legumes, and warm season grasses (Kallenbach, 2015).
Renovation. The extensive cost associated with conversion to NE+ tall fescue hinders the
conversion on cow-calf operations. Many farms in Virginia and the Southeastern United States
16
are small family farms that rely on other occupations for primary income. Renovation breakeven
cost for spring-calving producers can be estimated at $98 per hectare (Smith et al., 2012). It is
not beneficial for producers to plant E- tall fescue seed that does not have the fungus to allow the
fescue to survive the climate of Virginia and the Southeastern United States (Hoveland, 1993;
Browning, 2003). Producers could also benefit from supplementing NE+ tall fescue in their
pasture rotations during the grazing season when ergot alkaloids are greatest in E+ tall fescue
pastures and cattle are more sensitive to ergot alkaloids. (Caldwell et al., 2013). Benefits of NE+
over E+ tall fescue includes improved pregnancy and conception rates, increased gains from
cattle and stockers, increased weaning weights, and increased herd longevity (NRCS.gov, 2007).
Other methods of renovation include using various options of such as dilution by interseeding
legumes, or partial kill with herbicide treatment, or seeding small sections with NE+ tall fescue
(Strickland et al., 2001).
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Materials and Methods:
Locations:
This project utilized cattle production data from the VADOC Agribusiness program.
VADOC cattle were ideal for this project because there are approximately 2,300 head managed
on an annual basis across the state according to similar protocols and veterinary programs, have
similar genetic backgrounds, and are stocked on similar forage types.
Two of the agribusiness operations were selected based on their breeding season and
dominant forage type. The agribusiness operation located at Coffeewood Correctional Center has
been termed “Coffeewood” for the purposes of this project. Coffeewood is located at 38˚
21’53.28” N, 78˚ 1’13.08” W in Culpeper County. This farm is approximately 263 hectares with
101 hectares used for permanent pasture and 162 hectares used for hay production. In addition to
the farm located at the Coffeewood Correctional Center, there is a separate group of cattle kept at
Sky Meadows State Park (38˚ 59’27.6” N, 77˚ 57’52.56” W). This group consists of cattle
mostly over the age of 5. The cattle remain at the State Park from April to November and are
then brought back to Coffeewood Correctional Center to calve from December to March.
Breeding and all other management for the Sky Meadows herd is completed at the State Park
location. In both locations, Coffeewood and Sky Meadows, the main forage source is E+ tall
fescue. These two farms were treated as a single farm because the cattle are managed together
during the calving season and are only separated seasonally.
The agribusiness operation at Greensville Correctional Center (termed “Jarratt” for the
purposes of this project) is located at 36˚ 47’52.188” N, 77˚ 28’57.41” W in Greensville County.
This farm is approximately 179 total hectares with 141 hectares used for pasture and 38 hectares
used for hay production. Originally, only non-toxic forages were available on this farm,
18
including novel endophyte-infected tall fescue and bermudagrass. The bermudagrass is used
predominately for hay production.
Both farms have a spring-calving season that extends from late January to March and
cattle are rebred from late April to early May. Pregnancy checks are performed at approximately
60 days and again at approximately 120 days after breeding. During each pregnancy check, BCS
are estimated for all of the cattle. Weaning is completed in early to mid-October, totaling
approximately 230 days from birth to weaning. Cows are weighed pre-breeding and calves are
weighed at weaning.
Data Collection:
The information and data provided in these records were collected by veterinary students
from the Virginia-Maryland College of Veterinary Medicine (VMCVM). All data and
information gathering activities are overseen by DVM instructors. The data used for this project
were retrieved from the recordkeeper for the VADOC and included breeding and weaning
records from years 2012-2019. The records were formatted in a Microsoft Excel spreadsheet
with multiple tabs for each farm.
Visits were coordinated with each farm in April 2019 to collect tall fescue for ergot
alkaloid analysis. At least 30 leaf samples were collected from each grazing field at each farm.
Samples were randomly collected in multiple locations throughout the fields. Samples were
collected in a random manner throughout the field. Spots in the field were hay was fed were
avoided during sampling. The samples were lyophilized at the Southern Piedmont Agriculture
Research and Extension Center. These samples were analyzed for total ergot alkaloids by a
commercial lab (Agrinostics Ltd., Watkinsville, GA) using an ELISA-based system. Samples
19
from Sky Meadows were colleted by the Coffeewood farm manager and frozen until they were
shipped to Agrinostics for analysis. Only leaf samples were submitted at the time of this study.
Reproductive data manipulation:
The cattle used for data analysis can be found in Appendix A. The data were summarized
using the Pivot Tables function in MS Excel®. Tables were created based on calving rate,
artificial insemination pregnancy rate, BCS, and pre-breeding weight. Cows at each farm were
pregnancy checked twice during the season and BCS were taken at three different periods: pre-
breeding, at first pregnancy check, and at second pregnancy check. BCS is used to analyze the
changes in body condition throughout calving, pregnancy, summer grazing season, and to
compare the effect of endophyte status on cow pregnancy and cow and calf production measures.
Some cattle were removed from the data set (Appendix B) based on the following
criteria:
- No identification or data entry present in the data set
- The cow was brought to the farm mid-season as already bred
- The cow was not exposed via artificial insemination or natural service
Calving rate was not provided in the original records, but was calculated for each farm
based on the number of calves born (alive or dead) divided by the number of cows exposed to
breeding. Differences in live and dead births by pasture treatment also was recorded; calves were
recorded as dead if they died within two weeks of calving. Cows that did not calve were labeled
as open.
Weaning weight data manipulation:
Weaning weight data were gathered from separate records and (compiled in Appendix
C). Some calves had to be removed from the data set and can be (referenced in Appendix D).
Based on the following criteria:
20
- Died prior to weaning
- No identification or data entry present
- Sold prior to weaning
- Bottle-fed
- No weaning weight available
The data were summarized using the Pivot Tables function in MS Excel®. Tables were created
based on the weaning weight and average daily gain. Average daily gain was calculated by
subtracting weaning weight from birth weight getting the total gain then dividing by 230 days.
Climatology Data:
Climate data was gathered from the National Oceanic and Atmospheric Administration’s
(NOAA) National Centers for Environmental Information. Local climatological data was
selected from Richmond International Airport (37˚ 30’17.28” N, 77˚ 19’19.56” W) in Richmond,
VA. Richmond was the only centralized weather station location that was close to all three
locations. Richmond is located 90.6 kilometers from Jarratt, VA, 133.9 kilometers from
Mitchells, VA (Coffeewood), and 188.3 kilometers from Sky Meadows State Park. At the time
of this manuscript, 2019 climate data was not available). The average maximum temperature was
analyzed between the months of April through October to determine the average maximum
temperature between the months of breeding, conception, and into the second trimester
Statistical Analysis:
A mixed ANOVA of birth weight, BCS, pre-breeding body weight, CR, AI pregnancy
rate, WW, and ADG between forage type was conducted using the PROC MIXED procedure in
SAS Studio, v. 3.8 (SAS Inst., Cary, NC). Experimental design was treated as a randomized
complete block design with year as the replication and forage type as the treatment. Differences
between treatments were considered significant when P < 0.05.
21
Results:
Ergot Alkaloid Concentrations:
Ergot alkaloid concentrations in the samples collected from Jarratt did not reflect the
ergot alkaloid levels that correspond with the levels understood to be present in NE+. This may
be explained by not managing the NE+ tall fescue to persist under intense grazing. At times E+
tall fescue may have been over-seeded leading to the NE+ tall fescue pastures to be contaminated
over time with E+ tall fescue.
Table 1: Total ergot alkaloid concentrations (ppb) present in toxic endophyte-infected (E+) or
novel endophyte-infected (NE+) pastures at Coffeewood, Jarratt, and Sky Meadows in April of
2019
Location Pasture Endophyte Status Total ergot
alkaloids Cattle group1
Sky Meadows 1 E+ 389
Sky Meadows 2 E+ 2526
Coffeewood 1 E+ 952
Coffeewood 2 E+ 677
Jarratt 1 NE+ 236 Heifers
Jarratt 2 NE+ 0 4+ yr. old (AI)
Jarratt 3 NE+ 1284 Bull-bred
Jarratt 4 NE+ 2187 3-4 yr. old (AI)
1 : Cattle at Jarratt are organized in pastures based on age/breeding groups
22
Climatological Data:
Climate data was based on data collected from the NOAA weather station in Richmond,
VA (Figure 1). 2018 had the greatest temperature between April and October of 27.61ºC. The
average minimum temperature was also analyzed. From 2012-2018, the year with the lowest
minimum temperature was 2014 with 9.1ºC.
Extreme temperatures were analyzed from the climatology data. The year with the
greatest number of days over 32.2ºC, was 2015 with 47 days. The years with the second largest
number of days over 32.2ºC, were 2012, 2013, and 2018 at 46 days.
Figure 1: Average maximum temperatures for Richmond, VA for each month organized
by year for the years of 2012-2018 (˚C).
23
Figure 2: Average minimum temperatures for Richmond, VA for each month organized
by year for the years of 2012-2018 (˚C).
24
Birth Weight:
Average birth weights from 2012 to 2019 was about 4 kg. greater (p = 0.0257) for
animals on NE+ fescue (Table 2). Birth weights over time also were more variable with E+ tall
fescue pastures.
Table 2: Average birth weight (kg.) of calves birthed from cows grazing either toxic
endophyte-infected (E+) or novel endophyte-infected (NE+) tall fescue for 2012-2019.
Year Forage type
E+ NE+ ----- kg. -----
2012 35 35
2013 34 36
2014 35 38
2015 31 40
2016 27 39
2017 37 n/a
2018 32 37
2019 36 38
Overall ----- kg. -----
LSMeans 34 38
SE 3 2
Pvalue 0.0257
25
Body Condition Score and Body Weight:
BCS was (p = 0.0153) decreased for cattle on E+ tall fescue than for cows on NE+ tall
fescue at the pre-breeding period. No differences in BCS were observed at subsequent
measurement periods. Cows on E+ tall fescue had decreased (p = 0.0456) body weights at pre-
breeding than cows on NE+ tall fescue.
Table 3: Average body condition score given pre-breeding, at first pregnancy check, and
at second pregnancy check to cows consuming toxic endophyte-infected (E+) or novel
endophyte-infected (NE+) tall fescue for 2012- 2019.
Year Forage type
E+ NE+ E+ NE+ E+ NE+ Pre-Breeding First Preg. Ck Second Preg. Ck
2012 5.3 5.3 6.1 5.2 6.1 5.3
2013 5.5 5.7 5.4 n/a n/a n/a
2014 5.0 4.9 5.2 4.8 4.9 4.8
2015 4.9 5.5 5.4 5.7 5.3 5.6
2016 5.4 6.0 5.3 5.3 5.4 5.4
2017 5.0 5.9 5.5 5.9 5.4 5.9
2018 5.1 5.5 5.2 5.9 5.6 6.5
2019 4.9 5.3 5.2 6.0 5.3 6.2
Overall ----- BCS ----- ----- BCS ----- ----- BCS -----
LSMeans 5 6 5 6 5 6
SE 0.1 0.1 0.2 0.2 0.2 0.2
Pvalue 0.0153 0.5974 0.3292
26
Table 4: Average pre-breeding body weight (kg.) of cows grazing toxic endophyte-
infected (E+) or novel endophyte-infected (NE+) tall fescue from 2012-2019
Year Forage type
E+ NE+ ----- kg. -----
2012 525 500
2013 561 572
2014 499 508
2015 483 535
2016 498 599
2017 503 586
2018 527 619
2019 515 n/a
Overall ----- kg. -----
LSMeans 514 560
SE 27 30
Pvalue 0.0456
27
Calving Rate (CR):
Cattle grazing NE+ tall fescue had the greatest (p ≤ 0.0243) CR, but there were no
differences (p ≤ 0.1553) between treatments for the percentage of dead calves.
Table 5: Calving rate (%) of live calves born from cows grazing toxic endophyte-infected
(E+) or novel endophyte-infected (NE+) tall fescue from 2012-2019.
Year Forage type
E+ NE+ -----%-----
2012 94 93
2013 89 89
2014 79 92
2015 93 96
2016 85 93
2017 92 93
2018 90 96
2019 89 95
Overall ----- %-----
LSMeans 89 94
SE 1 1
Pvalue 0.0243
28
Table 6: Calving rate (%) of dead calves born to cows grazing toxic endophyte-infected
(E+) or novel endophyte-infected (NE+) tall fescue from 2012-2019.
Year Forage type
E+ NE+ -----%-----
2012 4 5
2013 4 7
2014 18 3
2015 1 0
2016 3 2
2017 3 1
2018 3 1
2019 9 4
Overall ----- %-----
LSMeans 5 2
SE 1 1
Pvalue 0.1553
29
Pregnancy Rate:
Animals on NE+ had 20% greater (p = 0.0011) pregnancy rates than those on E+ tall
fescue.
Table 7: Artificial insemination pregnancy rate (%) for cows grazing toxic endophyte-
infected (E+) or novel endophyte-infected (NE+) tall fescue from 2012- 2019.
Year Forage type
E+ NE+ -----%-----
2012 35 46
2013 55 56
2014 49 60
2015 31 37
2016 43 58
2017 42 49
2018 50 56
2019 42 49
Overall ----- %-----
LSMeans 43 52
SE 1 1
Pvalue 0.0011
30
Weaning Weight:
Calves grazing E+ tall fescue weighed less (p = 0.0217) at weaning than calves grazing
NE+. ADG was decreased for calves consuming E+ tall fescue than NE+ tall fescue (p =
0.0203).
Table 8: Average weaning weight of calves grazing or pastured on toxic endophyte-
infected (E+) or novel endophyte-infected (NE+) tall fescue from 2012-2019.
Year Forage type
E+ NE+ ----- kg. -----
2012 273 263
2013 255 251
2014 229 236
2015 242 285
2016 246 280
2017 252 296
2018 271 298
2019 273 263
Overall ----- kg. -----
LSMeans 254 278
SE 13 13
Pvalue 0.0217
31
Table 9: Average daily gain (kg.) of calves grazing toxic endophyte-infected (E+) or
novel endophyte-infected (NE+) tall fescue from 2012-2019.
Year Forage type
E+ NE+ ----- kg. -----
2012 1.04 1.0
2013 n/a n/a
2014 0.86 0.86
2015 0.91 1.04
2016 0.95 1.13
2017 0.95 1.32
2018 1.04 1.18
2019 1.0
Overall ----- kg. -----
LSMeans 0.95 1.09
SE 0.1 0.1
Pvalue 0.0203
32
Discussion:
The goal of this study was to determine if cattle grazing E+ tall fescue had decreased
reproductive and weight gain performance compared to cattle grazing NE+ tall fescue. Birth
weight, body condition score (BCS), body weight, calving rate, pregnancy rate, weaning weights,
climate data, and ergot alkaloid concentrations were compared for each forage type. Cows and
calves on E+ tall fescue had decreased reproductive and growth performance than cows and
calves on NE+ tall fescue at two farms in Virginia. Decreased birth weights, weaning weights,
and average daily gain were observed in calves. Decreases in BCS of cows at pre-breeding and
during pregnancy checks were observed in herds grazing E+ tall fescue. Although, with a small
amount of the NE+ pastures contaminated with E+, cattle stocked on these pastures still
performed better than cattle on E+ tall fescue. Similar results can be found in a study completed
by Caldwell et al. (2013) on the differences in spring- and fall-calving systems and a 25%
pasture conversion to NE+ tall fescue. Caldwell et al. (2013) found that by converting pastures to
25% NE+, calving rates increased 36% compared calving rates on 100% E+ pastures.
Birth Weight:
Calves produced from cows grazing E+ tall fescue collectively had decreased birth
weight when compared to calves of cows consuming NE+ tall fescue. Dryer (1993) studied
vasoconstriction of uterine and umbilical arteries in ewes and found that ergovaline (most
common ergopeptide) constricted uterine and umbilical arteries. This constriction caused
reduced fetal growth in livestock (Dryer, 1993). Watson et al. (2004) similarly found that cows
grazing the wild-type tall fescue had calves with reduced birth weights when compared to other
fescue types.
33
Weaning Weight:
WW also followed the same pattern as birth weights. Calves raised on E+ tall fescue
weighed less at weaning than calves grazing NE+ tall fescue. The effects of fescue toxicosis can
be passed from the cow to the calf through decreased birth weights and WW (Miller, 2009).
Decreased prolactin production leads to decreased milk production (Peters et al, 1992) in cattle
grazing E+ tall fescue and nursing calves. Due to these decreases, calves exhibit reduced WW
when compared to cattle grazing alternative forages, such as NE+ tall fescue. Other studies also
suggest that the decrease in serum prolactin production of cows grazing E+ tall fescue has an
effect on milk production, thus resulting in reduced weaning weights of calves (Schmidt et al.,
1986; Koltz, 2015). Steers grazing E+ tall fescue were shown to have a reduction in ADG
compared those grazing endophyte-free or forage types (Paterson et al, 1995). Cattle have
increased toxicity effects when grazing E+ tall fescue and exposed to stressful environmental
conditions (extreme heat or cold) (Peters et al, 1992). Settivari et al. (2007) found that ADG was
reduced in calves due to a reduction in feed intake.
Body Condition Score and Body Weight:
Cattle grazing E+ tall fescue exhibited decreased BCS at pre-breeding when compared to
cattle grazing NE+ tall fescue. Schmitt et al (1986) found that a decrease in weight loss and BCS
occur in cows consuming E+ tall fescue. DeRouen et al. (1994) found that when BCS are given
at calving for first-calf heifers, it is a more reliable indicator of the reproductive performance at
breeding. Hess et al. (2005) found that cattle that have nutritional deficiencies pre-partum, will
have a decreased BCS post-partum resulting in decreased weight gain in calves (Paputungan and
Makarechian, 2000). The third trimester of pregnancy for spring-calving herds typically occurs
in the middle of winter when their forage is least nutritious. (Paputungan and Makarechian,
34
2000). Calves from herds lacking sufficient nutrition will ultimately weigh less and gain less
than other calves from herds with sufficient nutrition during the third trimester. The comparison
between forages showed cows grazing E+ tall fescue weighed less than NE+ tall fescue.
Pregnancy Rate:
Schmidt et al. (1986) also found that for every increase in ergot alkaloid concentrations
(5%, 60%, 99%), the number heifers that conceived and maintained a pregnancy (96%, 82%,
55%) decreased. Gay et al. (1988) noted a decrease in pregnancy rates for cattle grazing E+ tall
fescue. A decrease in conception and pregnancy rates can be attributed to a decrease in feed
intake, weight gain and body condition in cattle consuming E+ tall fescue (Paterson et al., 1995).
DeRouen et al. (1994) found that cows with a BCS of 5-6 had greater pregnancy rates and
reduced postpartum intervals than cows that had a lesser BCS (4-5). Poole et al. (2018) conclude
that the reduction in pregnancy rates could be due to the lack of blood flow to the reproductive
system in cattle consuming E+ tall fescue.
Calving Rate:
Cows grazing E+ tall fescue had a larger percentage of open cows when compared to
cattle grazing NE+ tall fescue. Many studies have reported decreases in calving rates due to the
consumption of E+ tall fescue (Hazlett, 1999, Looper et al, 2010). Research is still being
conducted to determine the cause of this decrease (Miller, 2009). Beers and Piper (1987) cited
that cows consuming E+ tall fescue had decreased conception rates than cows consuming
endophyte free (E-) tall fescue. Caldwell et al. (2013) suggests that cattle have increased calving
rates when utilizing a fall-calving system or by converting a percentage of the pasture to NE+ tall
fescue. In a fall-calving system, cattle are not subjected to increased ergot alkaloid
concentrations and heat stress while breeding. By converting a portion of the pasture to NE+ tall
35
fescue, cattle are not consuming solely E+ tall fescue which helps to mitigate the effects of the
ergot alkaloids.
Climatological Data:
The goal of analyzing climatology data was to determine a correlation between extreme
temperatures and decreased reproductive performance. It is understood that environmental
factors, such as heat stress, play a role in the severity of fescue toxicosis and are linked to
decreased production (Burke et al., 2001b). Reductions in body weight and conception rates were
found in 2015. This could be because this was the year with the most days over 90˚. 2014 had the
most days (86) where the minimum temperature was below 0˚ C. 2013 followed next with a total
of 77 days below 0˚ C. There are changes in birth weight, WW, ADG, body weights, CR, and PR
data for E+ and NE+ tall fescue, but it is not apparent that these fluctuations are caused by
temperatures below freezing.
Implications:
It was found that reductions in birth weights occur in calves produced from cows that
graze E+ tall fescue. Lactating cows had reduced body weight and condition when grazing E+
tall fescue and exposed to heat stress. A.I. conception rates and calving rates were also reduced
for cattle grazing E+ tall fescue. Growth traits in calves, such as weaning weights and ADG were
reduced due to the consumption of E+ tall fescue. Further research should be conducted on the
ergot alkaloid types and concentration, reinfection rates, and management of E+ and NE+ tall
fescue. An economic analysis is needed that compares the costs renovation of E+ pastures and
hay land to NE+ tall fescue. The cost of reduced production efficiency in cattle should also be
included, such as the loss of pregnancy, WW, and ADG, this will help determine how feasible
conversion is for the commercial cow-calf producer.
36
Appendix A:
37
Year Farm Forage Calf ID Calf
BirthdateSex
Birth
Weight
Weaning
Weight
Gain (ww-
bw)
ADG @
~230
days
Comments Comments
2019 Jarratt Novel G884G 12/29/2018 H 59 556 497 2.16
2019 Jarratt Novel G885G 12/31/2018 H 59 660 601 2.61
2019 Jarratt Novel G886G 1/4/2019 H 67 608 541 2.35
2019 Jarratt Novel G887G 1/3/2019 H 78 686 608 2.64
2019 Jarratt Novel G888G 1/3/2019 H 61 648 587 2.55
2019 Jarratt Novel G889G 1/3/2019 H 72 672 600 2.61
2019 Jarratt Novel G890G 1/4/2019 H 78 680 602 2.62
2019 Jarratt Novel G891G 1/5/2019 H 83 602 519 2.26
2019 Jarratt Novel G892G 1/7/2019 H 67 680 613 2.67
2019 Jarratt Novel G893G 1/8/2019 H 67 596 529 2.30
2019 Jarratt Novel G894G 1/8/2019 H 67 688 621 2.70
2019 Jarratt Novel G895G 1/9/2019 H 72 686 614 2.67
2019 Jarratt Novel G897G 1/10/2019 H 67 628 561 2.44
2019 Jarratt Novel G898G 1/11/2019 H 78 680 602 2.62
2019 Jarratt Novel G111G 1/11/2019 H 82 754 672 2.92 changed calf tag
2019 Jarratt Novel G928G 12/30/2018 S 65 602 537 2.33
2019 Jarratt Novel G929G 12/31/2018 S 52 622 570 2.48
2019 Jarratt Novel G930G 1/5/2019 S 61 624 563 2.45
2019 Jarratt Novel G931G 1/3/2019 S 59 648 589 2.56
2019 Jarratt Novel G932G 1/4/2019 S 77 720 643 2.80
2019 Jarratt Novel G933G 1/5/2019 S 72 576 504 2.19
2019 Jarratt Novel G934G 1/6/2019 S 71 662 591 2.57
2019 Jarratt Novel G935G 1/7/2019 S 87 690 603 2.62
2019 Jarratt Novel G936G 1/7/2019 S 65 520 455 1.98
2019 Jarratt Novel G937G 1/7/2019 S 83 616 533 2.32
2019 Jarratt Novel G938G 1/9/2019 S 83 654 571 2.48
2019 Jarratt Novel G939G 1/8/2019 S 77 570 493 2.14
2019 Jarratt Novel G940G 1/10/2019 S 72 608 536 2.33
2019 Jarratt Novel G941G 1/10/2019 S 77 614 537 2.33
2019 Jarratt Novel G942G 1/10/2019 S 65 690 625 2.72
2019 Jarratt Novel G943G 1/11/2019 S 102 592 490 2.13
2019 Jarratt Novel G944G 1/17/2019 S 102 678 576 2.50 didn't get vaccinated
2019 Jarratt Novel G006G 1/29/2019 H 61 654 593 2.58
2019 Jarratt Novel G007G 1/23/2019 H 78 728 650 2.83
2019 Jarratt Novel G008G 1/23/2019 H 72 714 642 2.79
2019 Jarratt Novel G009G 1/23/2019 H 82 770 688 2.99
2019 Jarratt Novel G011G 1/27/2019 H 78 754 676 2.94
2019 Jarratt Novel G012G 1/29/2019 H 67 620 553 2.40
2019 Jarratt Novel G015G 1/31/2019 H 88 674 586 2.55
2019 Jarratt Novel G016G 1/31/2019 H 94 786 692 3.01
2019 Jarratt Novel G017G 2/1/2019 H 78 600 522 2.27
2019 Jarratt Novel G018G 1/31/2019 H 89 654 565 2.46
2019 Jarratt Novel G019G 2/1/2019 H 78 718 640 2.78
2019 Jarratt Novel G021G 2/2/2019 H 78 668 590 2.57 limp
2019 Jarratt Novel G025G 2/4/2019 H 83 730 647 2.81
2019 Jarratt Novel G026G 2/5/2019 H 109 794 685 2.98
2019 Jarratt Novel G028G 2/4/2019 H 83 654 571 2.48
2019 Jarratt Novel G030G 2/6/2019 H 67 634 567 2.47
2019 Jarratt Novel G031G 2/6/2019 H 78 658 580 2.52
2019 Jarratt Novel G032G 2/6/2019 H 94 670 576 2.50
2019 Jarratt Novel G035G 2/8/2019 H 83 662 579 2.52
2019 Jarratt Novel G036G 2/11/2019 H 89 738 649 2.82
2019 Jarratt Novel G951G 1/25/2019 S 95 764 669 2.91
2019 Jarratt Novel G952G 1/28/2019 S 83 754 671 2.92
2019 Jarratt Novel G953G 1/27/2019 S 72 726 654 2.84
2019 Jarratt Novel G954G 1/27/2019 S 86 678 592 2.57
2019 Jarratt Novel G955G 1/27/2019 S 86 732 646 2.81
2019 Jarratt Novel G956G 1/27/2019 S 80 708 628 2.73
2019 Jarratt Novel G957G 1/28/2019 S 86 754 668 2.90
2019 Jarratt Novel G958G 1/28/2019 S 89 742 653 2.84
2019 Jarratt Novel G959G 1/28/2019 S 77 702 625 2.72
2019 Jarratt Novel G960G 1/28/2019 S 93 844 751 3.27
2019 Jarratt Novel G961G 1/30/2019 S 95 756 661 2.87
2019 Jarratt Novel G962G 1/29/2019 S 89 834 745 3.24
2019 Jarratt Novel G967G 1/31/2019 S 89 680 591 2.57
2019 Jarratt Novel G968G 2/1/2019 S 89 746 657 2.86
2019 Jarratt Novel G975G 2/5/2019 S 102 662 560 2.43
2019 Jarratt Novel G976G 2/4/2019 S 89 746 657 2.86
2019 Jarratt Novel G983G 2/7/2019 S 103 612 509 2.21
2019 Jarratt Novel G984G 2/7/2019 S 95 758 663 2.88
2019 Jarratt Novel G985G 2/7/2019 S 100 710 610 2.65
2019 Jarratt Novel G987G 2/10/2019 S 87 666 579 2.52
2019 Jarratt Novel G989G 2/10/2019 S 102 740 638 2.77
2019 Jarratt Novel G004G 1/24/2019 H 67 832 765 3.33
2019 Jarratt Novel G005G 1/24/2019 H 83 794 711 3.09
2019 Jarratt Novel G010G 1/27/2019 H 92 752 660 2.87
2019 Jarratt Novel G014G 1/31/2019 H 86 706 620 2.70
2019 Jarratt Novel G020G 1/31/2019 H 83 788 705 3.07
2019 Jarratt Novel G022G 2/2/2019 H 83 702 619 2.69 front right limp
2019 Jarratt Novel G023G 2/2/2019 H 105 722 617 2.68 sorry calf check mom
2019 Jarratt Novel G024G 2/2/2019 H 83 760 677 2.94
2019 Jarratt Novel G029G 2/5/2019 H 89 758 669 2.91
2019 Jarratt Novel G034G 2/6/2019 H 77 752 675 2.93 No Tag-Sorry Calf-cut 9/11/18
2019 Jarratt Novel G945G 1/20/2019 S 83 800 717 3.12 one nut - cut at James River
2019 Jarratt Novel G946G 1/23/2019 S 71 794 723 3.14
2019 Jarratt Novel G947G 1/27/2019 S 89 868 779 3.39
2019 Jarratt Novel G948G 1/27/2019 S 89 874 785 3.41
2019 Jarratt Novel G949G 1/26/2019 S 87 756 669 2.91
2019 Jarratt Novel G950G 1/25/2019 S 95 886 791 3.44
2019 Jarratt Novel G963G 1/29/2019 S 95 858 763 3.32
2019 Jarratt Novel G964G 1/29/2019 S 89 780 691 3.00
2019 Jarratt Novel G965G 1/31/2019 S 77 746 669 2.91
2019 Jarratt Novel G966G 1/31/2019 S 89 760 671 2.92
2019 Jarratt Novel G969G 2/2/2019 S 108 686 578 2.51
2019 Jarratt Novel G970G 2/2/2019 S 89 760 671 2.92
2019 Jarratt Novel G971G 2/2/2019 S 95 812 717 3.12
2019 Jarratt Novel G972G 2/2/2019 B 89 838 749 3.26 not healed from being cut on 9/11/19
2019 Jarratt Novel G973G 2/2/2019 S 102 824 722 3.14
2019 Jarratt Novel G974G 2/2/2019 S 102 834 732 3.18
2019 Jarratt Novel G977G 2/4/2019 S 108 826 718 3.12
2019 Jarratt Novel G978G 2/4/2019 S 102 888 786 3.42
2019 Jarratt Novel G979G 2/6/2019 S 94 776 682 2.97
2019 Jarratt Novel G980G 2/6/2019 S 95 806 711 3.09
2019 Jarratt Novel G981G 2/6/2019 S 83 780 697 3.03
2019 Jarratt Novel G982G 2/6/2019 S 89 784 695 3.02
2019 Jarratt Novel G986G 2/7/2019 S 98 816 718 3.12
2019 Jarratt Novel G013G 1/31/2019 H 83 574 491 2.13
2019 Jarratt Novel G033G 2/6/2019 H 78 656 578 2.51
2019 Jarratt Novel G038G 2/18/2019 H 70 712 642 2.79
2019 Jarratt Novel G039G 2/16/2019 H 78 624 546 2.37
2019 Jarratt Novel G040G 2/14/2019 H 78 682 604 2.63
2019 Jarratt Novel G041G 2/15/2019 H 72 578 506 2.20
2019 Jarratt Novel G042G 2/19/2019 H 78 640 562 2.44
2019 Jarratt Novel G043G 2/19/2019 H 67 532 465 2.02
2019 Jarratt Novel G044G 2/24/2019 H 83 628 545 2.37
2019 Jarratt Novel G045G 1/25/2019 H 78 654 576 2.50
2019 Jarratt Novel G046G 2/25/2019 H 78 658 580 2.52
2019 Jarratt Novel G047G 2/26/2019 H 80 612 532 2.31
2019 Jarratt Novel G048G 2/28/2019 H 89 610 521 2.27
2019 Jarratt Novel G049G 1/28/2019 H 83 656 573 2.49
2019 Jarratt Novel G050G 3/1/2019 H 83 598 515 2.24
2019 Jarratt Novel G051G 3/1/2019 H 90 632 542 2.36
2019 Jarratt Novel G052G 2/12/2019 H 85 708 623 2.71
2019 Jarratt Novel G053G 3/28/2019 H 72 584 512 2.23
2019 Jarratt Novel G054G 3/30/2019 H 82 604 522 2.27
2019 Jarratt Novel G100G 2/26/2019 B 85 676 591 2.57 one in abdomen
2019 Jarratt Novel G101G 2/27/2019 S 102 728 626 2.72
2019 Jarratt Novel G102G 2/26/2019 S 90 706 616 2.68 big hematome on back
2019 Jarratt Novel G103G 2/27/2019 S 105 752 647 2.81
2019 Jarratt Novel G104G 3/12/2019 S 90 718 628 2.73
2019 Jarratt Novel G105G 3/15/2019 S 83 560 477 2.07
2019 Jarratt Novel G106G 3/27/2019 S 105 638 533 2.32
2019 Jarratt Novel G107G 4/7/2019 S 82 568 486 2.11
2019 Jarratt Novel G108G 4/8/2019 S 76 520 444 1.93 bad eye
2019 Jarratt Novel G110G 2/18/2019 B 80 658 578 2.51
2019 Jarratt Novel G990G 2/18/2019 S 95 654 559 2.43
2019 Jarratt Novel G991G 2/18/2019 S 95 630 535 2.33
2019 Jarratt Novel G992G 2/19/2019 S 83 694 611 2.66
2019 Jarratt Novel G993G 2/18/2019 S 89 856 767 3.33
2019 Jarratt Novel G994G 2/15/2019 S 71 582 511 2.22
2019 Jarratt Novel G995G 2/21/2019 S 83 638 555 2.41
2019 Jarratt Novel G996G 2/19/2019 S 89 824 735 3.20
2019 Jarratt Novel G997G 2/25/2019 S 98 728 630 2.74
2019 Jarratt Novel G998G 2/24/2019 S 85 718 633 2.75
2019 Jarratt Novel G999G 2/27/2019 S 95 746 651 2.83
2019 Jarratt Novel G055G 4/20/2019 H 93 540 447 1.94
2019 Jarratt Novel G056G 4/23/2019 H 89 230 141 0.61
2019 Jarratt Novel G057G 4/27/2019 H 72 508 436 1.90
2019 Jarratt Novel G109G 4/15/2019 S 93 548 455 1.98
2019 Coffeewood Infected G0005 1/17/2019 S 90 662 572 2.49
2019 Coffeewood Infected G0015 1/19/2019 S 75 660 585 2.54
2019 Coffeewood Infected G0135 1/31/2019 S 86 688 602 2.62
2019 Coffeewood Infected G0175 2/1/2019 S 77 698 621 2.70
2019 Coffeewood Infected G0185 1/30/2019 S 83 742 659 2.87
2019 Coffeewood Infected G0195 1/30/2019 S 77 694 617 2.68
2019 Coffeewood Infected G0205 1/28/2019 S 71 704 633 2.75
2019 Coffeewood Infected G0215 1/30/2019 S 89 716 627 2.73
2019 Coffeewood Infected G0225 1/29/2019 S 95 784 689 3.00
2019 Coffeewood Infected G0235 1/29/2019 S 71 606 535 2.33
2019 Coffeewood Infected G0245 1/31/2019 S 95 748 653 2.84
2019 Coffeewood Infected G0265 1/29/2019 S 79 604 525 2.28
2019 Coffeewood Infected G0295 2/2/2019 S 89 714 625 2.72
2019 Coffeewood Infected G0325 2/3/2019 S 89 712 623 2.71
2019 Coffeewood Infected G0335 2/3/2019 S 95 720 625 2.72
2019 Coffeewood Infected G0355 2/3/2019 S 71 702 631 2.74
2019 Coffeewood Infected G0385 2/19/2019 S 77 584 507 2.20
2019 Coffeewood Infected G0415 2/14/2019 H 70 538 468 2.03
2019 Coffeewood Infected G0455 2/13/2019 S 80 644 564 2.45
2019 Coffeewood Infected G0505 2/7/2019 S 88 658 570 2.48
2019 Coffeewood Infected G0695 2/10/2019 S 87 636 549 2.39
2019 Coffeewood Infected G0705 2/19/2019 S 80 710 630 2.74
2019 Coffeewood Infected G0715 2/20/2019 S 81 636 555 2.41
2019 Coffeewood Infected G0725 2/4/2019 S 83 658 575 2.50
2019 Coffeewood Infected G0735 2/19/2019 S 80 652 572 2.49
2019 Coffeewood Infected G0745 2/23/2019 S 79 616 537 2.33
2019 Coffeewood Infected G0785 3/22/2019 S 80 386 306 1.33
2019 Coffeewood Infected G5315 1/8/2019 H 75 634 559 2.43
2019 Coffeewood Infected G5325 1/8/2019 H 100 754 654 2.84
2019 Coffeewood Infected G5335 1/12/2019 H 80 394 314 1.37
2019 Coffeewood Infected G5465 2/3/2019 H 682 682 2.97
2019 Coffeewood Infected G5475 1/29/2019 H 61 556 495 2.15
2019 Coffeewood Infected G5485 1/31/2019 H 626 626 2.72
2019 Coffeewood Infected G5495 1/29/2019 H 83 696 613 2.67
2019 Coffeewood Infected G5505 1/29/2019 H 61 654 593 2.58
2019 Coffeewood Infected G5515 2/1/2019 H 100 606 506 2.20
2019 Coffeewood Infected G5525 2/1/2019 H 72 688 616 2.68
2019 Coffeewood Infected G5535 1/26/2019 H 78 674 596 2.59
2019 Coffeewood Infected G5545 1/28/2019 H 83 672 589 2.56
2019 Coffeewood Infected G5575 2/1/2019 H 67 656 589 2.56
2019 Coffeewood Infected G5605 2/2/2019 H 83 576 493 2.14
2019 Coffeewood Infected G5655 2/3/2019 H 67 694 627 2.73
2019 Coffeewood Infected G5665 2/3/2019 H 78 678 600 2.61
2019 Coffeewood Infected G5675 2/3/2019 H 56 604 548 2.38
2019 Coffeewood Infected G5935 2/5/2019 H 81 618 537 2.33
2019 Coffeewood Infected G5945 2/5/2019 H 79 668 589 2.56
2019 Coffeewood Infected G5955 2/3/2019 H 79 664 585 2.54
2019 Coffeewood Infected G6045 4/15/2019 H 55 484 429 1.87
2019 Sky Meadows Infected G0045 1/19/2019 S 75 584 509 2.21
2019 Sky Meadows Infected G0055 1/22/2019 S 62 638 576 2.50
2019 Sky Meadows Infected G0085 1/27/2019 S 71 526 455 1.98
2019 Sky Meadows Infected G0095 1/28/2019 S 83 660 577 2.51
2019 Sky Meadows Infected G0115 1/24/2019 S 83 576 493 2.14
2019 Sky Meadows Infected G0125 1/31/2019 S 71 578 507 2.20
2019 Sky Meadows Infected G0145 1/29/2019 S 77 391 314 1.37
2019 Sky Meadows Infected G0155 1/24/2019 S 95 574 479 2.08
2019 Sky Meadows Infected G0165 2/1/2019 S 89 664 575 2.50
2019 Sky Meadows Infected G0275 1/26/2019 S 89 638 549 2.39
2019 Sky Meadows Infected G0285 2/2/2019 S 77 610 533 2.32
2019 Sky Meadows Infected G0305 2/1/2019 S 95 620 525 2.28
2019 Sky Meadows Infected G0375 2/10/2019 S 81 620 539 2.34
2019 Sky Meadows Infected G0395 2/18/2019 S 60 522 462 2.01
2019 Sky Meadows Infected G0425 2/9/2019 S 85 594 509 2.21
2019 Sky Meadows Infected G0435 2/19/2019 S 88 432 344 1.50
2019 Sky Meadows Infected G0445 2/11/2019 S 88 634 546 2.37
2019 Sky Meadows Infected G0465 2/19/2019 S 83 612 529 2.30
2019 Sky Meadows Infected G0495 3/12/2019 S 86 512 426 1.85
2019 Sky Meadows Infected G0535 2/18/2019 S 79 528 449 1.95
2019 Sky Meadows Infected G0545 2/14/2019 S 80 488 408 1.77
2019 Sky Meadows Infected G0555 2/23/2019 S 90 455 365 1.59
2019 Sky Meadows Infected G0575 3/13/2019 S 80 550 470 2.04
2019 Sky Meadows Infected G0605 3/12/2019 S 87 417 330 1.43
2019 Sky Meadows Infected G0655 2/18/2019 S 79 538 459 2.00
2019 Sky Meadows Infected G0755 3/18/2019 516 516 2.24
2019 Sky Meadows Infected G5345 1/22/2019 H 65 586 521 2.27
2019 Sky Meadows Infected G5355 1/22/2019 H 75 598 523 2.27
2019 Sky Meadows Infected G5375 1/23/2019 H 85 516 431 1.87
2019 Sky Meadows Infected G5395 1/28/2019 H 89 580 491 2.13
2019 Sky Meadows Infected G5415 1/29/2019 H 72 562 490 2.13
2019 Sky Meadows Infected G5435 1/31/2019 H 83 610 527 2.29
2019 Sky Meadows Infected G5445 1/31/2019 H 83 558 475 2.07
2019 Sky Meadows Infected G5555 2/1/2019 H 89 524 435 1.89
2019 Sky Meadows Infected G5595 2/2/2019 H 61 562 501 2.18
2019 Sky Meadows Infected G5685 2/22/2019 H 82 422 340 1.48
2019 Sky Meadows Infected G5695 3/6/2019 H 78 454 376 1.63
2019 Sky Meadows Infected G5725 2/9/2019 H 79 550 471 2.05
2019 Sky Meadows Infected G5735 588 588 2.56
2019 Sky Meadows Infected G5745 530 530 2.30
2019 Sky Meadows Infected G5755 2/14/2019 H 86 604 518 2.25
2019 Sky Meadows Infected G5765 2/27/2019 H 81 518 437 1.90
2019 Sky Meadows Infected G5775 2/11/2019 H 77 576 499 2.17
2019 Sky Meadows Infected G5805 2/6/2019 H 81 438 357 1.55
2019 Sky Meadows Infected G5825 2/14/2019 H 88 482 394 1.71
2019 Sky Meadows Infected G5835 3/6/2019 H 76 560 484 2.10
2019 Sky Meadows Infected G5875 2/19/2019 H 211 211 0.92
2019 Sky Meadows Infected G5905 3/6/2019 H 70 474 404 1.76
2019 Sky Meadows Infected G5965 2/18/2019 H 72 510 438 1.90
2019 Sky Meadows Infected G5975 3/27/2019 H 68 496 428 1.86
2019 Sky Meadows Infected G5995 2/23/2019 H 524 524 2.28
2019 Sky Meadows Infected G6015 3/27/2019 H 70 452 382 1.66
2019 Sky Meadows Infected G6035 4/3/2019 H 70 429 359 1.56
2019 Sky Meadows Infected G0035 1/20/2019 S 55 742 687 2.99
2019 Sky Meadows Infected G0065 1/27/2019 S 102 684 582 2.53
2019 Sky Meadows Infected G0075 1/23/2019 S 71 594 523 2.27
2019 Sky Meadows Infected G0255 2/1/2019 S 95 712 617 2.68
2019 Sky Meadows Infected G0365 2/3/2019 S 71 616 545 2.37
2019 Sky Meadows Infected G0405 2/18/2019 S 69 562 493 2.14
2019 Sky Meadows Infected G0475 2/22/2019 S 85 548 463 2.01
2019 Sky Meadows Infected G0485 2/10/2019 S 79 556 477 2.07
2019 Sky Meadows Infected G0515 2/19/2019 S 88 552 464 2.02
2019 Sky Meadows Infected G0565 3/18/2019 S 79 518 439 1.91
2019 Sky Meadows Infected G0585 2/19/2019 S 90 580 490 2.13
2019 Sky Meadows Infected G0595 3/17/2019 S 70 534 464 2.02
2019 Sky Meadows Infected G0615 3/13/2019 S 81 438 357 1.55
2019 Sky Meadows Infected G0625 3/6/2019 S 83 493 410 1.78
2019 Sky Meadows Infected G0635 2/25/2019 S 79 518 439 1.91
2019 Sky Meadows Infected G0645 2/14/2019 S 84 582 498 2.17
2019 Sky Meadows Infected G0675 3/15/2019 S 74 575 501 2.18
2019 Sky Meadows Infected G0685 2/19/2019 S 83 542 459 2.00
2019 Sky Meadows Infected G0765 3/14/2019 S 84 453 369 1.60
2019 Sky Meadows Infected G0775 3/29/2019 528 528 2.30
2019 Sky Meadows Infected G5365 1/21/2019 H 82 586 504 2.19
2019 Sky Meadows Infected G5405 1/24/2019 H 83 630 547 2.38
2019 Sky Meadows Infected G5455 1/29/2019 H 89 634 545 2.37
2019 Sky Meadows Infected G5565 2/1/2019 H 83 646 563 2.45
2019 Sky Meadows Infected G5585 1/26/2019 H 78 596 518 2.25
2019 Sky Meadows Infected G5615 1/27/2019 H 78 532 454 1.97
2019 Sky Meadows Infected G5625 2/1/2019 H 72 459 387 1.68
2019 Sky Meadows Infected G5635 1/27/2019 H 67 497 430 1.87
2019 Sky Meadows Infected G5645 584 584 2.54
2019 Sky Meadows Infected G5705 2/17/2019 618 618 2.69
2019 Sky Meadows Infected G5715 2/13/2019 H 84 574 490 2.13
2019 Sky Meadows Infected G5785 2/27/2019 H 76 429 353 1.53
2019 Sky Meadows Infected G5795 3/10/2019 H 81 450 369 1.60
2019 Sky Meadows Infected G5815 3/10/2019 H 75 483 408 1.77
2019 Sky Meadows Infected G5845 2/15/2019 H 69 588 519 2.26
2019 Sky Meadows Infected G5855 2/23/2019 H 79 457 378 1.64
2019 Sky Meadows Infected G5865 2/22/2019 H 82 429 347 1.51
2019 Sky Meadows Infected G5885 2/27/2019 H 73 470 397 1.73
2019 Sky Meadows Infected G5895 2/14/2019 H 83 566 483 2.10
2019 Sky Meadows Infected G5915 2/23/2019 H 81 497 416 1.81
2019 Sky Meadows Infected G5925 560 560 2.43
2019 Sky Meadows Infected G5985 3/17/2019 H 84 462 378 1.64
2019 Sky Meadows Infected G6005 3/23/2019 H 65 455 390 1.70
2019 Sky Meadows Infected G6025 3/27/2019 H 65 402 337 1.47
2018 Coffeewood Infected F0005 1/7/18 B 63 680 617 2.68 barn
2018 Coffeewood Infected F0015 1/5/18 B 70 654 584 2.54 barn
2018 Coffeewood Infected F0195 1/31/18 B 50 650 600 2.61 barn
2018 Coffeewood Infected F0205 1/31/18 B 70 646 576 2.50 barn
2018 Coffeewood Infected F0215 1/31/18 B 72 718 646 2.81 barn
2018 Coffeewood Infected F0225 2/1/18 B 72 684 612 2.66 barn
2018 Coffeewood Infected F0285 2/1/18 B 60 620 560 2.43 barn
2018 Coffeewood Infected F0465 2/7/18 B 54 648 594 2.58 barn
2018 Coffeewood Infected F0685 1/9/18 B 69 614 545 2.37 barn
2018 Coffeewood Infected F0695 1/9/18 B 72 688 616 2.68 barn
2018 Coffeewood Infected F0705 1/16/18 B 77 648 571 2.48 barn
2018 Coffeewood Infected F0785 3/17/18 B 82 489 407 1.77 at water plant
2018 Coffeewood Infected F0795 3/8/18 B 81 538 457 1.99 at water plant
2018 Coffeewood Infected F0805 3/16/18 B 77 582 505 2.20 at water plant
2018 Coffeewood Infected F0815 3/15/18 B 78 568 490 2.13 at water plant
2018 Coffeewood Infected F0835 2/28/18 B 71 602 531 2.31 barn
2018 Coffeewood Infected F0845 2/16/18 B 52 584 532 2.31 barn
2018 Coffeewood Infected F0865 2/28/18 B 62 604 542 2.36 barn
2018 Coffeewood Infected F0875 3/1/18 B 55 504 449 1.95 barn
2018 Coffeewood Infected F0885 2/25/18 B 62 636 574 2.50 barn
2018 Coffeewood Infected F0895 2/25/18 B 55 628 573 2.49 barn
2018 Coffeewood Infected F0905 2/25/18 B 66 550 484 2.10 barn
2018 Coffeewood Infected F0915 3/1/18 B 77 684 607 2.64 barn
2018 Coffeewood Infected F0925 3/2/18 B 61 584 523 2.27 barn
2018 Coffeewood Infected F0935 3/18/18 B 50 528 478 2.08 barn
2018 Coffeewood Infected F0945 2/18/18 B 80 628 548 2.38 barn
2018 Coffeewood Infected F0955 3/2/18 B 73 622 549 2.39 barn
2018 Coffeewood Infected F0965 4/14/18 B 88 542 454 1.97 barn
2018 Coffeewood Infected F0985 4/20/18 B 76 462 386 1.68 at water plant
2018 Coffeewood Infected F0995 4/7/18 B 66 530 464 2.02 at water plant
2018 Coffeewood Infected F1005 4/15/18 B 68 500 432 1.88 at water plant
2018 Coffeewood Infected F1145 B 72 500 428 1.86 late calf-cow ??
2018 Coffeewood Infected F1155 B 77 528 451 1.96 late calf--Cow ??
2018 Coffeewood Infected F0025 1/24/18 B 71 390 319 1.39 to park
2018 Coffeewood Infected f0035 1/26/18 B 80 656 576 2.50 to park
2018 Coffeewood Infected F0045 1/27/18 B 83 758 675 2.93 to park
2018 Coffeewood Infected F0055 1/26/18 B 87 628 541 2.35 to park
2018 Coffeewood Infected F0075 1/26/18 B 70 670 600 2.61 to park
2018 Coffeewood Infected F0085 1/27/18 B 91 546 455 1.98 to park
2018 Coffeewood Infected F0095 1/27/18 B 74 600 526 2.29 to park
2018 Coffeewood Infected F0105 1/29/18 B 63 482 419 1.82 to park
2018 Coffeewood Infected F0115 1/29/18 B 75 740 665 2.89 to park
2018 Coffeewood Infected F0125 1/31/18 B 73 666 593 2.58 to park
2018 Coffeewood Infected F0135 1/31/18 B 50 644 594 2.58 to park
2018 Coffeewood Infected F0145 1/29/18 B 100 682 582 2.53 to park
2018 Coffeewood Infected F0155 1/25/18 B 89 558 469 2.04 to park
2018 Coffeewood Infected F0160 1/31/18 B 82 718 636 2.77 to park
2018 Coffeewood Infected F0175 1/31/18 B 72 700 628 2.73 to park
2018 Coffeewood Infected F0235 1/31/18 B 100 678 578 2.51 to park
2018 Coffeewood Infected F0245 1/31/18 B 90 548 458 1.99 to park
2018 Coffeewood Infected F0255 1/31/18 B 100 746 646 2.81 to park
2018 Coffeewood Infected F0265 1/25/18 B 80 670 590 2.57 to park
2018 Coffeewood Infected F0275 2/1/18 B 82 640 558 2.43 to park
2018 Coffeewood Infected F0295 2/1/18 B 92 646 554 2.41 to park
2018 Coffeewood Infected F0305 2/1/18 B 71 690 619 2.69 to park
2018 Coffeewood Infected F0315 2/2/18 B 66 578 512 2.23 to park
2018 Coffeewood Infected F0325 2/2/18 B 70 596 526 2.29 to park
2018 Coffeewood Infected F0335 2/2/18 B 77 634 557 2.42 to park
2018 Coffeewood Infected F0345 2/2/18 B 66 646 580 2.52 to park
2018 Coffeewood Infected F0355 2/2/18 B 68 624 556 2.42 to park
2018 Coffeewood Infected F0365 2/3/18 B 62 730 668 2.90 to park
2018 Coffeewood Infected F0375 2/6/18 B 80 712 632 2.75 to park
2018 Coffeewood Infected F0385 2/4/18 B 82 712 630 2.74 to park
2018 Coffeewood Infected F0395 2/5/18 B 73 574 501 2.18 to park
2018 Coffeewood Infected F0405 2/5/18 B 100 622 522 2.27 to park
2018 Coffeewood Infected F0415 2/5/18 B 91 514 423 1.84 to park
2018 Coffeewood Infected F0425 2/6/18 B 89 788 699 3.04 to park
2018 Coffeewood Infected F0435 2/6/18 B 92 732 640 2.78 to park
2018 Coffeewood Infected F0445 2/5/18 B 85 642 557 2.42 to park
2018 Coffeewood Infected F0455 2/7/18 B 50 582 532 2.31 to park
2018 Coffeewood Infected F0475 2/8/18 B 100 638 538 2.34 to park
2018 Coffeewood Infected F0485 2/6/18 B 63 586 523 2.27 to park
2018 Coffeewood Infected F0495 2/7/18 B 74 582 508 2.21 to park
2018 Coffeewood Infected F0505 2/7/18 B 60 644 584 2.54 to park
2018 Coffeewood Infected F0515 2/7/18 B 99 530 431 1.87 to park
2018 Coffeewood Infected F0535 2/8/18 B 60 586 526 2.29 to park
2018 Coffeewood Infected F0545 2/11/18 B 61 600 539 2.34 to park
2018 Coffeewood Infected F0555 2/13/18 B 72 570 498 2.17 to park
2018 Coffeewood Infected F0575 2/12/18 b 88 632 544 2.37 to park
2018 Coffeewood Infected F0585 2/11/18 B 77 578 501 2.18 to park
2018 Coffeewood Infected F0595 2/9/18 B 98 636 538 2.34 to park
2018 Coffeewood Infected F0605 2/8/18 B 102 458 356 1.55 to park
2018 Coffeewood Infected F0615 2/15/18 B 90 618 528 2.30 to park
2018 Coffeewood Infected F0625 2/16/18 B 80 630 550 2.39 to park
2018 Coffeewood Infected F0635 2/12/18 B 100 535 435 1.89 to park
2018 Coffeewood Infected F0715 2/25/18 B 77 508 431 1.87 to park
2018 Coffeewood Infected F0725 2/20/18 B 80 550 470 2.04 to park
2018 Coffeewood Infected F0735 2/19/18 B 55 450 395 1.72 to park
2018 Coffeewood Infected F0745 2/25/18 B 69 534 465 2.02 to park
2018 Coffeewood Infected F0755 2/21/18 B 77 277 200 0.87 to park
2018 Coffeewood Infected F0765 2/20/18 B 72 610 538 2.34 to park
2018 Coffeewood Infected F0775 3/6/18 B 74 502 428 1.86 to park
2018 Coffeewood Infected F0975 2/19/18 B 88 383 295 1.28 to park-needs tag
2018 Coffeewood Infected F1125 1/29/18 B 60 664 604 2.63 to park-vals no band
2018 Coffeewood Infected F4755 1/31/18 B 69 532 463 2.01 to park
2018 Coffeewood Infected F4605 1/30/18 H 63 614 551 2.40 barn
2018 Coffeewood Infected F4615 1/29/18 H 65 532 467 2.03 barn
2018 Coffeewood Infected F4625 1/4/18 H 60 618 558 2.43 barn
2018 Coffeewood Infected F4635 1/3/18 H 62 614 552 2.40 barn
2018 Coffeewood Infected F4645 1/3/18 H 67 600 533 2.32 barn
2018 Coffeewood Infected F4655 1/6/18 H 61 560 499 2.17 barn
2018 Coffeewood Infected F4665 1/10/18 H 60 518 458 1.99 pulled calf
2018 Coffeewood Infected F4785 1/30/18 H 88 732 644 2.80 cow died 4/11/18
2018 Coffeewood Infected F4825 1/31/18 H 50 616 566 2.46 barn
2018 Coffeewood Infected F4835 1/29/18 H 90 768 678 2.95 barn
2018 Coffeewood Infected F4865 2/1/18 H 59 608 549 2.39 barn
2018 Coffeewood Infected F4875 2/1/18 H 69 592 523 2.27 barn
2018 Coffeewood Infected F4975 2/4/18 H 57 566 509 2.21 barn
2018 Coffeewood Infected F5035 2/10/18 H 81 560 479 2.08 to park
2018 Coffeewood Infected F5105 3/13/18 H 40 504 464 2.02 at water plant
2018 Coffeewood Infected F5135 3/16/18 H 72 528 456 1.98 at water plant
2018 Coffeewood Infected F5145 3/15/18 H 50 490 440 1.91 at water plant
2018 Coffeewood Infected F5165 3/15/18 H 70 492 422 1.83 at water plant
2018 Coffeewood Infected F5175 2/18/18 H 60 562 502 2.18 barn
2018 Coffeewood Infected F5185 2/17/18 H 58 558 500 2.17 barn
2018 Coffeewood Infected F5195 2/20/18 H 77 512 435 1.89 barn
2018 Coffeewood Infected F5205 3/4/18 H 50 604 554 2.41 barn
2018 Coffeewood Infected F5215 2/1/18 H 49 646 597 2.60 barn
2018 Coffeewood Infected F5225 2/2/18 H 55 606 551 2.40 barn
2018 Coffeewood Infected F5235 2/18/18 H 47 560 513 2.23 barn
2018 Coffeewood Infected F5255 3/13/18 H 40 437 397 1.73 barn
2018 Coffeewood Infected F5265 4/10/18 H 57 497 440 1.91 at water plant
2018 Coffeewood Infected F5275 4/15/18 H 60 572 512 2.23 barn
2018 Coffeewood Infected F5285 4/18/18 H 80 467 387 1.68 barn
2018 Coffeewood Infected F4675 1/24/18 H 75 650 575 2.50 to park
2018 Coffeewood Infected F4685 1/20/18 H 70 728 658 2.86 to park
2018 Coffeewood Infected F4695 1/21/18 H 68 600 532 2.31 to park
2018 Coffeewood Infected F4705 1/25/18 H 98 518 420 1.83 to park pulled calf-cut cow
2018 Coffeewood Infected F4715 1/27/18 H 86 696 610 2.65 to park
2018 Coffeewood Infected F4725 1/29/18 H 66 640 574 2.50 to park
2018 Coffeewood Infected F4735 1/29/18 H 68 630 562 2.44 to park
2018 Coffeewood Infected F4745 1/31/18 H 82 612 530 2.30 to park
2018 Coffeewood Infected F4765 1/30/18 H 80 568 488 2.12 to park
2018 Coffeewood Infected F4775 1/30/18 H 48 580 532 2.31 to park
2018 Coffeewood Infected F4795 1/30/18 H 90 646 556 2.42 to park
2018 Coffeewood Infected F4805 1/31/18 H 74 658 584 2.54 to park
2018 Coffeewood Infected F4815 1/31/18 H 50 650 600 2.61 to park
2018 Coffeewood Infected F4845 1/30/18 H 105 630 525 2.28 to park-pulled clf
2018 Coffeewood Infected F4855 1/30/18 H 70 620 550 2.39 to park
2018 Coffeewood Infected F4885 2/1/18 H 90 698 608 2.64 to park
2018 Coffeewood Infected F4895 2/2/18 H 60 676 616 2.68 to park
2018 Coffeewood Infected F4905 2/4/18 H 90 714 624 2.71 to park
2018 Coffeewood Infected F4915 2/3/18 H 71 558 487 2.12 to park
2018 Coffeewood Infected F4925 2/4/18 H 77 592 515 2.24 to park
2018 Coffeewood Infected F4935 2/6/18 H 50 548 498 2.17 to park
2018 Coffeewood Infected F4945 2/4/18 H 62 780 718 3.12 to park
2018 Coffeewood Infected F4955 2/5/18 H 81 590 509 2.21 to park
2018 Coffeewood Infected F4965 2/5/18 H 105 714 609 2.65 to park
2018 Coffeewood Infected F4985 2/6/18 H 88 676 588 2.56 to park
2018 Coffeewood Infected F4995 2/9/18 H 52 650 598 2.60 to park
2018 Coffeewood Infected F5005 2/3/18 H 47 536 489 2.13 to park
2018 Coffeewood Infected F5015 2/9/18 H 49 538 489 2.13 to park
2018 Coffeewood Infected F5025 2/13/18 H 55 558 503 2.19 to park
2018 Coffeewood Infected F5045 2/14/18 H 63 382 319 1.39 to park COW DEAD
2018 Coffeewood Infected F5055 2/15/18 H 81 510 429 1.87 to park
2018 Coffeewood Infected F5075 2/15/18 H 60 580 520 2.26 to park
2018 Coffeewood Infected F5115 2/20/18 H 63 568 505 2.20 to park
2018 Coffeewood Infected F5125 2/18/18 H 59 526 467 2.03 to park
2018 Coffeewood Infected F5295 3/28/18 H 52 514 462 2.01 at water plant
2018 Jarratt Novel F683G 1/26/2018 H 682 682 2.97 Weaning Date 10/1/2018
2018 Jarratt Novel F684G 1/26/2018 H 720 720 3.13
2018 Jarratt Novel F686G 1/27/2018 H 710 710 3.09
2018 Jarratt Novel F687G 1/29/2018 H 704 704 3.06
2018 Jarratt Novel F688G 1/30/2018 H 658 658 2.86
2018 Jarratt Novel F689G 1/31/2018 H 702 702 3.05
2018 Jarratt Novel F690G 1/31/2018 H 708 708 3.08
2018 Jarratt Novel F691G 1/30/2018 H 668 668 2.90
2018 Jarratt Novel F692G 1/31/2018 H 704 704 3.06
2018 Jarratt Novel F693G 1/31/2018 H 718 718 3.12
2018 Jarratt Novel F694G 1/31/2018 H 648 648 2.82
2018 Jarratt Novel F695G 1/31/2018 H 626 626 2.72
2018 Jarratt Novel F696G 2/1/2018 H 688 688 2.99
2018 Jarratt Novel F697G 2/1/2018 H 712 712 3.10
2018 Jarratt Novel F698G 2/2/2018 H 854 854 3.71
2018 Jarratt Novel F777G 1/27/2018 S 652 652 2.83
2018 Jarratt Novel F778G 1/28/2018 S 756 756 3.29
2018 Jarratt Novel F780G 1/31/2018 S 728 728 3.17
2018 Jarratt Novel F781G 2/1/2018 S 690 690 3.00
2018 Jarratt Novel F782G 1/31/2018 S 752 752 3.27
2018 Jarratt Novel F783G 1/31/2018 S 674 674 2.93
2018 Jarratt Novel F784G 1/31/2018 S 806 806 3.50
2018 Jarratt Novel F785G 2/1/2018 S 696 696 3.03
2018 Jarratt Novel F787G 2/2/2018 S 826 826 3.59
2018 Jarratt Novel F788G 2/2/2018 S 714 714 3.10
2018 Jarratt Novel F789G 2/3/2018 S 690 690 3.00
2018 Jarratt Novel F790G 2/2/2018 S 684 684 2.97
2018 Jarratt Novel F791G 2/4/2018 S 742 742 3.23
2018 Jarratt Novel F794G 2/3/2018 S 624 624 2.71
2018 Jarratt Novel F795G 2/5/2018 S 744 744 3.23
2018 Jarratt Novel F796G 2/5/2018 S 798 798 3.47
2018 Jarratt NovelF797G 2/5/2018 B 762 762 3.31
Needs cut-cut left out-take other
one out the belly at James River
2018 Jarratt Novel F798G 2/6/2018 S 720 720 3.13
2018 Jarratt Novel F799G 2/8/2018 S 714 714 3.10
2018 Jarratt Novel F854G 2/3/2018 H 740 740 3.22
2018 Jarratt Novel F855G 2/3/2018 H 658 658 2.86
2018 Jarratt Novel F856G 2/3/2018 H 672 672 2.92
2018 Jarratt Novel F857G 2/4/2018 H 690 690 3.00
2018 Jarratt Novel F858G 2/4/2018 H 624 624 2.71
2018 Jarratt Novel F859G 2/3/2018 H 822 822 3.57
2018 Jarratt Novel F861G 2/8/2018 H 676 676 2.94
2018 Jarratt Novel F900G 2/8/2018 S 646 646 2.81
2018 Jarratt Novel F901G 2/8/2018 S 774 774 3.37
2018 Jarratt Novel F699G 2/2/2018 H 658 658 2.86
2018 Jarratt Novel F862G 2/16/2018 H 556 556 2.42
2018 Jarratt Novel F863G 2/17/2018 H 606 606 2.63
2018 Jarratt Novel F864G 2/18/2018 H 612 612 2.66
2018 Jarratt Novel F865G 2/19/2018 H 714 714 3.10
2018 Jarratt Novel F866G 2/19/2018 H 630 630 2.74
2018 Jarratt Novel F867G 2/16/2018 H 604 604 2.63
2018 Jarratt Novel F868G 2/17/2018 H 654 654 2.84
2018 Jarratt Novel F869G 2/23/2018 H 568 568 2.47
2018 Jarratt Novel F870G 2/20/2018 H 574 574 2.50
2018 Jarratt Novel F871G 3/4/2018 H 538 538 2.34
2018 Jarratt Novel F872G 3/4/2018 H 692 692 3.01
2018 Jarratt Novel F873G 3/17/2018 H 552 552 2.40
2018 Jarratt Novel F874G 3/21/2018 H 432 432 1.88
2018 Jarratt Novel F875G 3/24/2018 H 522 522 2.27
2018 Jarratt Novel F876G 3/30/2018 H 522 522 2.27
2018 Jarratt Novel F877G 3/29/2018 H 544 544 2.37
2018 Jarratt Novel F902G 2/13/2018 S 574 574 2.50
2018 Jarratt Novel F903G 2/11/2018 S 698 698 3.03
2018 Jarratt Novel F904G 2/13/2018 S 588 588 2.56
2018 Jarratt Novel F905G 2/14/2018 S 594 594 2.58
2018 Jarratt Novel F906G 2/16/2018 S 684 684 2.97
2018 Jarratt Novel F907G 2/16/2018 S 632 632 2.75
2018 Jarratt Novel F909G 2/18/2018 S 732 732 3.18
2018 Jarratt Novel F910G 2/18/2018 S 670 670 2.91
2018 Jarratt Novel F911G 2/19/2018 S 638 638 2.77
2018 Jarratt Novel F912G 2/18/2018 S 686 686 2.98
2018 Jarratt Novel F913G 2/19/2018 S 686 686 2.98
2018 Jarratt Novel F914G 2/22/2018 S 606 606 2.63
2018 Jarratt Novel F915G 2/20/2018 S 714 714 3.10
2018 Jarratt Novel F916G 2/25/2018 S 660 660 2.87
2018 Jarratt Novel F917G 2/26/2018 S 578 578 2.51
2018 Jarratt Novel F918G 2/25/2018 S 716 716 3.11
2018 Jarratt Novel F919G 3/1/2018 S 684 684 2.97
2018 Jarratt Novel F920G 3/12/2018 H 434 434 1.89
2018 Jarratt Novel F921G 3/10/2018 B 636 636 2.77 Needs cut-cut left out-take other one out the belly at James River
2018 Jarratt Novel F922G 3/14/2018 S 600 600 2.61
2018 Jarratt Novel F923G 3/22/2018 S 550 550 2.39
2018 Jarratt Novel F924G 3/24/2018 S 614 614 2.67
2018 Jarratt Novel F925G 4/1/2018 S 472 472 2.05
2018 Jarratt Novel F926G 4/6/2018 S 520 520 2.26
2018 Jarratt Novel F927G 4/12/2018 S 564 564 2.45
2018 Jarratt Novel F500V 1/21/2018 S 762 762 3.31
2018 Jarratt Novel F501V 1/24/2018 S 660 660 2.87
2018 Jarratt Novel F502V 1/25/2018 S 642 642 2.79
2018 Jarratt Novel F503V 1/26/2018 S 742 742 3.23
2018 Jarratt Novel F504V 1/27/2018 S 624 624 2.71
2018 Jarratt Novel F505V 1/27/2018 S 548 548 2.38
2018 Jarratt Novel F506V 1/28/2018 S 724 724 3.15
2018 Jarratt Novel F507V 1/29/2018 S 594 594 2.58
2018 Jarratt Novel F508V 1/29/2018 S 720 720 3.13
2018 Jarratt Novel F510V 1/29/2018 S 598 598 2.60
2018 Jarratt Novel F511V 1/29/2018 S 632 632 2.75
2018 Jarratt Novel F512V 1/29/2018 S 650 650 2.83
2018 Jarratt Novel F513V 1/29/2018 S 592 592 2.57
2018 Jarratt Novel F514V 1/29/2018 S 528 528 2.30
2018 Jarratt Novel F515V 1/29/2018 S 616 616 2.68
2018 Jarratt Novel F516V 1/29/2018 S 738 738 3.21
2018 Jarratt Novel F517V 1/29/2018 S 626 626 2.72
2018 Jarratt Novel F518V 1/29/2018 S 608 608 2.64
2018 Jarratt Novel F519V 1/29/2018 S 640 640 2.78
2018 Jarratt Novel F520V 1/30/2018 S 766 766 3.33
2018 Jarratt Novel F600V 1/22/2018 H 592 592 2.57
2018 Jarratt Novel F601V 1/22/2018 H 736 736 3.20
2018 Jarratt Novel F602V 1/23/2018 H 744 744 3.23
2018 Jarratt Novel F603V 1/25/2018 H 672 672 2.92
2018 Jarratt Novel F604V 1/26/2018 H 610 610 2.65
2018 Jarratt Novel F605V 1/27/2018 H 684 684 2.97
2018 Jarratt Novel F606V 1/29/2018 H 602 602 2.62
2018 Jarratt Novel F607V 1/30/2018 H 684 684 2.97
2018 Jarratt Novel F608V 1/30/2018 H 478 478 2.08
2018 Jarratt Novel F609V 2/2/2018 H 584 584 2.54
2018 Jarratt Novel F610V 2/5/2018 H 618 618 2.69
2018 Jarratt Novel F611V 2/6/2018 H 606 606 2.63
2018 Jarratt Novel F768G 1/3/2018 S 684 684 2.97
2018 Jarratt Novel F769G 1/4/2018 S 670 670 2.91
2018 Jarratt Novel F770G 1/5/2018 S 726 726 3.16
2018 Jarratt Novel F771G 1/6/2018 S 694 694 3.02
2018 Jarratt Novel F772G 1/5/2018 S 640 640 2.78
2018 Jarratt Novel F773G 1/7/2018 S 688 688 2.99
2018 Jarratt Novel F774G 12/28/2017 S 720 720 3.13
2018 Jarratt Novel F775G 1/11/2018 S 656 656 2.85
2018 Jarratt Novel F776G 1/15/2018 S 712 712 3.10
2018 Jarratt Novel F854G 1/1/2018 H 704 704 3.06
2018 Jarratt Novel F855G 12/29/2017 H 686 686 2.98
2018 Jarratt Novel F856G 1/4/2018 H 578 578 2.51
2018 Jarratt Novel F857G 1/6/2018 H 692 692 3.01
2018 Jarratt Novel F858G 1/7/2018 H 752 752 3.27
2018 Jarratt Novel F859G 1/6/2018 H 708 708 3.08
2018 Jarratt Novel F860G 1/7/2018 H 692 692 3.01
2018 Jarratt Novel F861G 1/7/2018 H 692 692 3.01
2018 Jarratt Novel F862G 1/9/2018 H 668 668 2.90
2018 Jarratt Novel F863G 1/19/2018 H 676 676 2.94
2018 Jarratt Novel F908G 2/17/2018 S 630 630 2.74
2018 Jarratt Novel F685G 1/26/2018 H 462 462 2.01
2018 Jarratt Novel F779G 1/29/2018 S 484 484 2.10
2017 Coffeewood Infected E0205 1/24/2017 B 97 628 531 2.31
2017 Coffeewood Infected E0215 1/26/2017 B 85 566 481 2.09
2017 Coffeewood Infected E0235 1/26/2017 B 95 522 427 1.86
2017 Coffeewood Infected E0245 1/26/2017 B 89 676 587 2.55
2017 Coffeewood Infected E0255 1/27/2017 B 87 570 483 2.10 pinkeye 10/10/17
2017 Coffeewood Infected E0265 1/27/2017 B 89 666 577 2.51
2017 Coffeewood Infected E0275 1/28/2017 B 102 529 427 1.86
2017 Coffeewood Infected E0305 1/30/2017 B 96 550 454 1.97 pinkeye 10/10/17
2017 Coffeewood Infected E0335 1/29/2017 B 95 546 451 1.96
2017 Coffeewood Infected E0345 1/28/2017 B 83 526 443 1.93 pinkeye 10/10/17
2017 Coffeewood Infected E0355 1/29/2017 B 84 506 422 1.83 pinkeye 10/10/17
2017 Coffeewood Infected E0365 1/30/2017 B 92 610 518 2.25
2017 Coffeewood Infected E0375 2/1/2017 B 95 566 471 2.05
2017 Coffeewood Infected E0385 1/31/2017 B 108 504 396 1.72
2017 Coffeewood Infected E0395 2/1/2017 B 74 564 490 2.13
2017 Coffeewood Infected E0405 2/1/2017 B 99 578 479 2.08
2017 Coffeewood Infected E0415 2/2/2017 B 82 572 490 2.13
2017 Coffeewood Infected E0465 2/4/2017 B 114 600 486 2.11
2017 Coffeewood Infected E0475 2/4/2017 B 90 612 522 2.27
2017 Coffeewood Infected E0485 2/3/2017 B 83 604 521 2.27 pinkeye 10/10/17
2017 Coffeewood Infected E0515 2/6/2017 B 73 580 507 2.20
2017 Coffeewood Infected E0525 2/7/2017 B 95 534 439 1.91
2017 Coffeewood Infected E0535 2/9/2017 B 85 592 507 2.20 pinkeye 10/10/17
2017 Coffeewood Infected E0545 2/9/2017 B 89 622 533 2.32
2017 Coffeewood Infected E0555 2/9/2017 B 89 548 459 2.00
2017 Coffeewood Infected E0565 2/10/2017 B 77 606 529 2.30 died-down in trailer -bloated 10/10/17
2017 Coffeewood Infected E0575 2/11/2017 B 90 604 514 2.23
2017 Coffeewood Infected E0585 2/11/2017 B 95 622 527 2.29
2017 Coffeewood Infected E0595 2/16/2017 B 85 530 445 1.93
2017 Coffeewood Infected E0605 2/17/2017 B 89 548 459 2.00
2017 Coffeewood Infected E0615 2/17/2017 B 71 546 475 2.07
2017 Coffeewood Infected E0625 2/17/2017 B 83 538 455 1.98
2017 Coffeewood Infected E0635 2/15/2017 B 100 640 540 2.35
2017 Coffeewood Infected E0645 2/16/2017 B 85 575 490 2.13
2017 Coffeewood Infected E0655 2/14/2017 B 89 538 449 1.95
2017 Coffeewood Infected E0705 2/20/2017 B 108 512 404 1.76
2017 Coffeewood Infected E0715 2/19/2017 B 89 430 341 1.48 pinkeye 10/10/17 both eyes blind
2017 Coffeewood Infected E0725 2/14/2017 B 92 482 390 1.70
2017 Coffeewood Infected E0735 2/18/2017 B 108 525 417 1.81 pinkeye-blind 10/10/17
2017 Coffeewood Infected E0745 2/18/2017 B 89 598 509 2.21
2017 Coffeewood Infected E0755 2/16/2017 B 69 530 461 2.00
2017 Coffeewood Infected E0785 2/22/2017 B 77 600 523 2.27 pinkeye 10/10/17
2017 Coffeewood Infected E0795 2/22/2017 B 75 512 437 1.90
2017 Coffeewood Infected E0805 2/23/2017 B 87 498 411 1.79 pinkeye both eyes 10/10/17
2017 Coffeewood Infected E0815 2/23/2017 B 90 592 502 2.18
2017 Coffeewood Infected E0855 2/24/2017 B 83 590 507 2.20
2017 Coffeewood Infected E0875 2/22/2017 B 91 492 401 1.74
2017 Coffeewood Infected E0885 2/22/2017 B 94 550 456 1.98
2017 Coffeewood Infected E1035 2/16/2017 530 530 2.30
2017 Coffeewood Infected E3855 1/21/2017 H 80 624 544 2.37
2017 Coffeewood Infected E3865 1/21/2017 H 100 618 518 2.25 pinkeye 10/10/17
2017 Coffeewood Infected E3885 1/24/2017 H 76 536 460 2.00
2017 Coffeewood Infected E3895 1/25/2017 H 83 604 521 2.27
2017 Coffeewood Infected E3905 1/26/2017 H 84 570 486 2.11
2017 Coffeewood Infected E3915 1/26/2017 H 78 552 474 2.06
2017 Coffeewood Infected E3925 1/26/2017 H 83 560 477 2.07
2017 Coffeewood Infected E3935 1/26/2017 H 80 578 498 2.17
2017 Coffeewood Infected E3945 1/27/2017 H 67 504 437 1.90
2017 Coffeewood Infected E3965 1/27/2017 B 94 556 462 2.01 **
2017 Coffeewood Infected E3975 1/28/2017 H 95 544 449 1.95
2017 Coffeewood Infected E3985 1/28/2017 H 78 568 490 2.13 pinkeye 10/10/17
2017 Coffeewood Infected E3995 1/26/2017 H 72 560 488 2.12
2017 Coffeewood Infected E4025 1/30/2017 H 78 440 362 1.57
2017 Coffeewood Infected E4035 1/31/2017 H 73 534 461 2.00
2017 Coffeewood Infected E4045 1/31/2017 H 83 618 535 2.33
2017 Coffeewood Infected E4055 1/28/2017 H 67 596 529 2.30
2017 Coffeewood Infected E4065 1/29/2017 H 83 560 477 2.07
2017 Coffeewood Infected E4085 1/29/2017 H 88 610 522 2.27
2017 Coffeewood Infected E4095 2/1/2017 H 80 558 478 2.08 with p/eye calves-good
2017 Coffeewood Infected E4105 1/31/2017 H 83 574 491 2.13
2017 Coffeewood Infected E4115 2/1/2017 H 85 530 445 1.93
2017 Coffeewood Infected E4125 2/1/2017 H 94 584 490 2.13
2017 Coffeewood Infected E4135 2/1/2017 H 90 552 462 2.01 pinkeye blind
2017 Coffeewood Infected E4145 2/6/2017 H 89 532 443 1.93
2017 Coffeewood Infected E4155 2/5/2017 H 83 580 497 2.16
2017 Coffeewood Infected E4175 2/7/2017 H 83 592 509 2.21
2017 Coffeewood Infected E4185 2/7/2017 H 72 450 378 1.64
2017 Coffeewood Infected E4195 2/7/2017 H 81 556 475 2.07
2017 Coffeewood Infected E4215 2/9/2017 H 72 490 418 1.82
2017 Coffeewood Infected E4225 2/8/2017 H 78 506 428 1.86
2017 Coffeewood Infected E4235 2/10/2017 H 75 486 411 1.79
2017 Coffeewood Infected E4245 2/14/2017 H 67 530 463 2.01
2017 Coffeewood Infected E4255 2/17/2017 H 61 460 399 1.73
2017 Coffeewood Infected E4265 2/16/2017 H 67 482 415 1.80
2017 Coffeewood Infected E4275 2/9/2017 H 85 534 449 1.95 pinkeye both eyes 10/10/17-blind
2017 Coffeewood Infected E4295 2/18/2017 H 65 476 411 1.79
2017 Coffeewood Infected E4305 2/15/2017 H 78 578 500 2.17
2017 Coffeewood Infected E4315 2/19/2017 H 89 538 449 1.95
2017 Coffeewood Infected E4335 2/22/2017 H 92 408 316 1.37 pinkeye 120/10/17
2017 Coffeewood Infected E4385 2/23/2017 H 81 534 453 1.97
2017 Coffeewood Infected E0005 1/9/2017 B 83 530 447 1.94
2017 Coffeewood Infected E0015 1/12/2017 B 65 560 495 2.15
2017 Coffeewood Infected E0025 1/12/2017 B 58 590 532 2.31
2017 Coffeewood Infected E0035 1/14/2017 B 95 608 513 2.23
2017 Coffeewood Infected E0045 1/14/2017 B 83 564 481 2.09
2017 Coffeewood Infected E0055 1/14/2017 B 82 714 632 2.75
2017 Coffeewood Infected E0065 1/14/2017 B 83 550 467 2.03
2017 Coffeewood Infected E0075 1/12/2017 B 85 630 545 2.37
2017 Coffeewood Infected E0085 1/14/2017 B 83 662 579 2.52
2017 Coffeewood Infected E0095 1/14/2017 B 65 572 507 2.20
2017 Coffeewood Infected E0105 1/14/2017 B 89 606 517 2.25
2017 Coffeewood Infected E0115 1/19/2017 B 85 590 505 2.20
2017 Coffeewood Infected E0125 1/19/2017 B 76 608 532 2.31
2017 Coffeewood Infected E0135 1/19/2017 B 74 562 488 2.12
2017 Coffeewood Infected E0145 1/19/2017 B 80 562 482 2.10
2017 Coffeewood Infected E0155 1/19/2017 B 45 544 499 2.17
2017 Coffeewood Infected E0165 1/19/2017 B 98 572 474 2.06
2017 Coffeewood Infected E0175 1/19/2017 B 51 658 607 2.64
2017 Coffeewood Infected E0185 1/20/2017 B 70 640 570 2.48
2017 Coffeewood Infected E0195 1/22/2017 B 87 630 543 2.36
2017 Coffeewood Infected E0225 1/25/2017 B 83 594 511 2.22
2017 Coffeewood Infected E0285 1/28/2017 B 59 628 569 2.47
2017 Coffeewood Infected E0295 1/28/2017 B 89 604 515 2.24
2017 Coffeewood Infected E0315 1/31/2017 B 95 608 513 2.23
2017 Coffeewood Infected E0325 1/28/2017 B 85 658 573 2.49
2017 Coffeewood Infected E0425 2/2/2017 B 108 674 566 2.46
2017 Coffeewood Infected E0435 2/2/2017 B 83 554 471 2.05
2017 Coffeewood Infected E0445 2/4/2017 B 83 596 513 2.23
2017 Coffeewood Infected E0455 2/4/2017 B 108 612 504 2.19
2017 Coffeewood Infected E0495 2/5/2017 B 71 608 537 2.33
2017 Coffeewood Infected E0505 2/6/2017 B 75 624 549 2.39
2017 Coffeewood Infected E0665 2/17/2017 B 78 514 436 1.90
2017 Coffeewood Infected E0675 2/15/2017 B 77 574 497 2.16
2017 Coffeewood Infected E0685 2/17/2017 B 87 562 475 2.07
2017 Coffeewood Infected E0695 2/17/2017 B 89 590 501 2.18
2017 Coffeewood Infected E0765 2/19/2017 B 83 528 445 1.93
2017 Coffeewood Infected E0775 2/18/2017 B 83 564 481 2.09
2017 Coffeewood Infected E0825 2/25/2017 B 120 606 486 2.11
2017 Coffeewood Infected E0835 2/21/2017 B 90 630 540 2.35
2017 Coffeewood Infected E0845 2/26/2017 B 89 536 447 1.94
2017 Coffeewood Infected E0865 2/26/2017 B 89 626 537 2.33
2017 Coffeewood Infected E0895 2/26/2017 B 94 534 440 1.91
2017 Coffeewood Infected E0905 2/27/2017 B 89 550 461 2.00
2017 Coffeewood Infected E0915 2/27/2017 B 87 582 495 2.15
2017 Coffeewood Infected E0925 2/27/2017 B 80 668 588 2.56
2017 Coffeewood Infected E0935 2/27/2017 B 89 570 481 2.09
2017 Coffeewood Infected E0945 3/2/2017 B 87 548 461 2.00
2017 Coffeewood Infected E0955 3/7/2017 B 89 530 441 1.92
2017 Coffeewood Infected E0965 3/10/2017 B 80 534 454 1.97
2017 Coffeewood Infected E0975 3/16/2017 B 74 550 476 2.07
2017 Coffeewood Infected E0985 3/13/2017 B 99 465 366 1.59
2017 Coffeewood Infected E0995 3/19/2017 B 100 540 440 1.91
2017 Coffeewood Infected E1005 3/21/2017 B 57 520 463 2.01
2017 Coffeewood Infected E1015 3/24/2017 B 70 456 386 1.68
2017 Coffeewood Infected E1025 3/17/2017 B 72 570 498 2.17
2017 Coffeewood Infected E2135 2/14/2017 H 75 516 441 1.92
2017 Coffeewood Infected E3705 1/6/2017 H 55 446 391 1.70
2017 Coffeewood Infected E3715 1/10/2017 H 60 460 400 1.74
2017 Coffeewood Infected E3725 1/12/2017 H 75 672 597 2.60
2017 Coffeewood Infected E3735 1/12/2017 H 61 646 585 2.54
2017 Coffeewood Infected E3745 1/12/2017 H 72 558 486 2.11
2017 Coffeewood Infected E3755 1/2/2017 H 56 530 474 2.06
2017 Coffeewood Infected E3765 1/12/2017 H 90 650 560 2.43
2017 Coffeewood Infected E3775 1/12/2017 H 56 612 556 2.42
2017 Coffeewood Infected E3785 1/14/2017 H 72 516 444 1.93
2017 Coffeewood Infected E3795 1/14/2017 H 77 654 577 2.51
2017 Coffeewood Infected E3805 1/17/2017 H 67 570 503 2.19
2017 Coffeewood Infected E3815 1/17/2017 H 71 586 515 2.24
2017 Coffeewood Infected E3825 1/17/2017 H 74 648 574 2.50
2017 Coffeewood Infected E3835 1/18/2017 H 61 558 497 2.16
2017 Coffeewood Infected E3845 1/20/2017 H 94 506 412 1.79
2017 Coffeewood Infected E3875 1/21/2017 H 67 506 439 1.91
2017 Coffeewood Infected E3955 1/26/2017 H 65 604 539 2.34
2017 Coffeewood Infected E4005 1/28/2017 H 61 471 410 1.78
2017 Coffeewood Infected E4015 1/25/2017 H 83 550 467 2.03
2017 Coffeewood Infected E4165 2/6/2017 H 83 588 505 2.20
2017 Coffeewood Infected E4205 2/6/2017 H 72 434 362 1.57
2017 Coffeewood Infected E4285 2/17/2017 H 77 508 431 1.87
2017 Coffeewood Infected E4345 2/21/2017 H 72 481 409 1.78
2017 Coffeewood Infected E4355 2/21/2017 H 73 508 435 1.89
2017 Coffeewood Infected E4365 2/25/2017 H 88 524 436 1.90
2017 Coffeewood Infected E4375 2/25/2017 H 87 488 401 1.74
2017 Coffeewood Infected E4395 3/1/2017 H 78 562 484 2.10
2017 Coffeewood Infected E4405 2/27/2017 H 72 454 382 1.66
2017 Coffeewood Infected E4415 2/25/2017 H 90 556 466 2.03
2017 Coffeewood Infected E4425 2/27/2017 H 72 516 444 1.93
2017 Coffeewood Infected E4435 2/27/2017 H 77 540 463 2.01
2017 Coffeewood Infected E4445 2/27/2017 H 81 430 349 1.52
2017 Coffeewood Infected E4465 3/17/2017 H 75 526 451 1.96
2017 Coffeewood Infected E4475 3/7/2017 H 75 425 350 1.52
2017 Coffeewood Infected E4485 3/16/2017 H 74 486 412 1.79
2017 Coffeewood Infected E4495 3/19/2017 H 78 435 357 1.55
2017 Coffeewood Infected E4505 3/21/2017 H 65 470 405 1.76
2017 Coffeewood Infected E4515 3/28/2017 H 60 385 325 1.41
2017 Coffeewood Infected E4525 3/27/2017 S 98 502 404 1.76
2017 Coffeewood Infected E4535 3/20/2017 H 66 504 438 1.90
2017 Jarratt Novel E710G 1/10/2017 S 92 744 652 2.83
2017 Jarratt Novel E711G 1/11/2017 S 80 792 712 3.10
2017 Jarratt Novel E712G 1/14/2017 S 83 824 741 3.22
2017 Jarratt Novel E713G 1/17/2017 S 97 688 591 2.57
2017 Jarratt Novel E714G 1/17/2017 S 101 738 637 2.77
2017 Jarratt Novel E715G 1/17/2017 S 95 786 691 3.00
2017 Jarratt Novel E716G 1/18/2017 S 89 814 725 3.15
2017 Jarratt Novel E717G 1/19/2017 S 96 750 654 2.84
2017 Jarratt Novel E718G 1/26/2017 S 75 674 599 2.60
2017 Jarratt Novel E719G 1/27/2017 S 95 806 711 3.09
2017 Jarratt Novel E720G 1/29/2017 S 93 754 661 2.87
2017 Jarratt Novel E721G 1/29/2017 S 95 826 731 3.18
2017 Jarratt Novel E722G 1/29/2017 S 83 556 473 2.06
2017 Jarratt Novel E723G 1/29/2017 S 84 730 646 2.81
2017 Jarratt Novel E724G 1/31/2017 S 90 772 682 2.97
2017 Jarratt Novel E725G 1/31/2017 S 77 694 617 2.68
2017 Jarratt Novel E726G 1/31/2017 S 87 836 749 3.26
2017 Jarratt Novel E727G 2/1/2017 S 57 398 341 1.48 Dwarf - Screwed up
2017 Jarratt Novel E728G 2/1/2017 S 85 674 589 2.56
2017 Jarratt Novel E729G 2/5/2017 S 76 708 632 2.75
2017 Jarratt Novel E730G 2/5/2017 S 92 704 612 2.66
2017 Jarratt Novel E731G 2/5/2017 S 83 636 553 2.40
2017 Jarratt Novel E732G 2/5/2017 S 102 788 686 2.98
2017 Jarratt Novel E733G 2/5/2017 S 95 640 545 2.37
2017 Jarratt Novel E734G 2/5/2017 S 95 762 667 2.90
2017 Jarratt Novel E735G 2/5/2017 S 89 624 535 2.33
2017 Jarratt Novel E736G 2/5/2017 S 83 614 531 2.31
2017 Jarratt Novel E737G 2/5/2017 S 93 692 599 2.60
2017 Jarratt Novel E739G 2/5/2017 S 84 616 532 2.31
2017 Jarratt Novel E740G 2/8/2017 S 97 772 675 2.93
2017 Jarratt Novel E741G 2/8/2017 S 80 762 682 2.97
2017 Jarratt Novel E742G 2/9/2017 S 89 648 559 2.43
2017 Jarratt Novel E743G 2/14/2017 S 78 654 576 2.50
2017 Jarratt Novel E744G 2/16/2017 S 83 648 565 2.46
2017 Jarratt Novel E745G 2/19/2017 S 81 492 411 1.79
2017 Jarratt Novel E746G 2/19/2017 S 85 540 455 1.98
2017 Jarratt Novel E747G 2/20/2017 S 76 542 466 2.03
2017 Jarratt Novel E748G 2/21/2017 S 77 530 453 1.97
2017 Jarratt Novel E749G 2/23/2017 S 87 670 583 2.53
2017 Jarratt Novel E750G 2/23/2017 S 86 516 430 1.87
2017 Jarratt Novel E751G 2/23/2017 S 90 552 462 2.01 Only one ball found
2017 Jarratt Novel E752G 2/26/2017 S 102 710 608 2.64
2017 Jarratt Novel E753G 2/26/2017 S 95 622 527 2.29
2017 Jarratt Novel E754G 2/26/2017 S 102 712 610 2.65
2017 Jarratt Novel E755G 2/26/2017 S 79 594 515 2.24
2017 Jarratt Novel E756G 2/26/2017 S 79 640 561 2.44
2017 Jarratt Novel E757G 2/26/2017 S 101 590 489 2.13
2017 Jarratt Novel E758G 2/28/2017 S 96 666 570 2.48
2017 Jarratt Novel E759G 2/28/2017 S 94 676 582 2.53
2017 Jarratt Novel E760G 3/7/2017 S 89 560 471 2.05
2017 Jarratt Novel E761G 3/7/2017 S 94 718 624 2.71
2017 Jarratt Novel E762G 3/11/2017 S 94 660 566 2.46 Milk down 3/13/17
2017 Jarratt Novel E763G 3/11/2017 S 97 560 463 2.01
2017 Jarratt Novel E764G 3/20/2017 S 105 614 509 2.21
2017 Jarratt Novel E765G 3/21/2017 S 85 528 443 1.93
2017 Jarratt Novel E766G 3/27/2017 S 83 548 465 2.02
2017 Jarratt Novel E767G 4/7/2017 S 97 592 495 2.15
2017 Jarratt Novel E810G 1/11/2017 H 78 612 534 2.32
2017 Jarratt Novel E811G 1/15/2017 H 82 676 594 2.58
2017 Jarratt Novel E812G 1/17/2017 H 83 672 589 2.56
2017 Jarratt Novel E813G 1/18/2017 H 85 734 649 2.82
2017 Jarratt Novel E814G 1/26/2017 H 83 740 657 2.86
2017 Jarratt Novel E815G 1/26/2017 H 72 690 618 2.69
2017 Jarratt Novel E816G 1/29/2017 H 87 688 601 2.61
2017 Jarratt Novel E817G 1/29/2017 H 83 528 445 1.93
2017 Jarratt Novel E818G 1/29/2017 H 72 652 580 2.52
2017 Jarratt Novel E819G 1/29/2017 H 68 586 518 2.25
2017 Jarratt Novel E820G 1/29/2017 H 90 650 560 2.43
2017 Jarratt Novel E821G 1/29/2017 H 78 720 642 2.79
2017 Jarratt Novel E822G 1/29/2017 H 83 652 569 2.47
2017 Jarratt Novel E823G 1/29/2017 H 83 622 539 2.34
2017 Jarratt Novel E824G 1/29/2017 H 91 792 701 3.05
2017 Jarratt Novel E825G 1/31/2017 H 80 682 602 2.62
2017 Jarratt Novel E826G 1/31/2017 H 89 720 631 2.74
2017 Jarratt Novel E827G 2/1/2017 H 81 670 589 2.56
2017 Jarratt Novel E828G 2/1/2017 H 83 716 633 2.75
2017 Jarratt Novel E829G 2/2/2017 H 80 644 564 2.45
2017 Jarratt Novel E830G 2/3/2017 H 83 684 601 2.61
2017 Jarratt Novel E831G 2/3/2017 H 89 714 625 2.72
2017 Jarratt Novel E832G 2/3/2017 H 72 544 472 2.05
2017 Jarratt Novel E833G 2/5/2017 H 85 726 641 2.79
2017 Jarratt Novel E834G 2/7/2017 H 88 640 552 2.40
2017 Jarratt Novel E835G 2/9/2017 H 78 550 472 2.05
2017 Jarratt Novel E836G 2/12/2017 H 83 668 585 2.54
2017 Jarratt Novel E837G 2/13/2017 H 83 648 565 2.46 Bad leg
2017 Jarratt Novel E838G 2/13/2017 H 83 558 475 2.07
2017 Jarratt Novel E839G 2/13/2017 H 89 656 567 2.47
2017 Jarratt Novel E840G 2/15/2017 H 83 602 519 2.26
2017 Jarratt Novel E842G 1/16/2017 H 79 680 601 2.61
2017 Jarratt Novel E843G 2/18/2017 H 78 588 510 2.22
2017 Jarratt Novel E844G 2/19/2017 H 72 582 510 2.22
2017 Jarratt Novel E845G 2/19/2017 H 82 450 368 1.60 put cow down 5/12/17-broke leg
2017 Jarratt Novel E846G 2/20/2017 H 93 634 541 2.35
2017 Jarratt Novel E847G 2/22/2017 H 89 660 571 2.48
2017 Jarratt Novel E849G 2/26/2017 H 68 562 494 2.15
2017 Jarratt Novel E850G 3/5/2017 H 85 546 461 2.00
2017 Jarratt Novel E851G 3/7/2017 H 78 548 470 2.04
2017 Jarratt Novel E852G 4/2/2017 H 83 532 449 1.95
2017 Jarratt Novel E853G 4/13/2017 H 73 512 439 1.91
2016 Coffeewood Infected D0005 1/7/2016 B 65 678 613 2.67
2016 Coffeewood Infected D0015 1/7/2016 B 40 690 650 2.83
2016 Coffeewood Infected D0025 1/11/2016 B 50 664 614 2.67
2016 Coffeewood Infected D0035 1/12/2016 B 75 712 637 2.77
2016 Coffeewood Infected D0045 1/13/2016 B 45 578 533 2.32
2016 Coffeewood Infected D0055 1/14/2016 B 40 630 590 2.57
2016 Coffeewood Infected D0065 1/15/2016 B 50 746 696 3.03
2016 Coffeewood Infected D0075 1/15/2016 B 42 722 680 2.96
2016 Coffeewood Infected D0085 1/15/2016 B 50 578 528 2.30
2016 Coffeewood Infected D0115 1/16/2016 B 56 612 556 2.42
2016 Coffeewood Infected D0125 1/16/2016 B 51 626 575 2.50
2016 Coffeewood Infected D0135 1/18/2016 B 40 542 502 2.18
2016 Coffeewood Infected D0145 1/24/2016 B 50 560 510 2.22
2016 Coffeewood Infected D0165 1/30/2016 B 55 620 565 2.46
2016 Coffeewood Infected D0175 1/31/2016 B 56 580 524 2.28
2016 Coffeewood Infected D0205 1/29/2016 B 60 660 600 2.61
2016 Coffeewood Infected D0255 2/7/2016 B 62 690 628 2.73
2016 Coffeewood Infected D0295 2/9/2016 B 608 608 2.64
2016 Coffeewood Infected D0355 2/11/2016 B 52 638 586 2.55
2016 Coffeewood Infected D0375 2/13/2016 B 63 487 424 1.84
2016 Coffeewood Infected D0455 2/15/2016 B 41 580 539 2.34
2016 Coffeewood Infected D0465 2/15/2016 B 35 562 527 2.29
2016 Coffeewood Infected D0475 2/16/2016 B 48 610 562 2.44
2016 Coffeewood Infected D0495 2/17/2016 B 59 594 535 2.33
2016 Coffeewood Infected D0505 2/18/2016 B 60 578 518 2.25
2016 Coffeewood Infected D0525 2/20/2016 b 43 508 465 2.02
2016 Coffeewood Infected D0615 2/24/2016 B 80 574 494 2.15
2016 Coffeewood Infected D0635 2/22/2016 B 74 662 588 2.56
2016 Coffeewood Infected D0695 2/28/2016 B 77 552 475 2.07
2016 Coffeewood Infected D0825 3/11/2016 B 53 554 501 2.18 pinkeye 10/4/16
2016 Coffeewood Infected D0865 3/12/2016 B 50 460 410 1.78
2016 Coffeewood Infected D0895 3/16/2016 b 83 419 336 1.46 sell cow
2016 Coffeewood Infected D0915 3/19/2016 B 80 510 430 1.87
2016 Coffeewood Infected D0975 3/3/2016 B 91 570 479 2.08
2016 Coffeewood Infected D0985 3/31/2016 S 60 497 437 1.90
2016 Coffeewood Infected D0995 4/3/2016 S 80 487 407 1.77
2016 Coffeewood Infected D1005 4/10/2016 S 60 434 374 1.63
2016 Coffeewood Infected D1015 4/11/2016 S 44 462 418 1.82
2016 Coffeewood Infected D1025 4/12/2016 S 51 480 429 1.87
2016 Coffeewood Infected D105V 2/4/2016 S 55 594 539 2.34
2016 Coffeewood Infected D106V 2/4/2016 S 73 606 533 2.32
2016 Coffeewood Infected D107V 2/4/2016 S 75 616 541 2.35
2016 Coffeewood Infected D108V 2/4/2016 S 71 570 499 2.17
2016 Coffeewood Infected D109V 2/4/2016 S 91 612 521 2.27
2016 Coffeewood Infected D110V 2/4/2016 H 85 578 493 2.14
2016 Coffeewood Infected D115V 2/6/2016 H 80 554 474 2.06
2016 Coffeewood Infected D116V 2/8/2016 H 80 380 300 1.30 sell cow
2016 Coffeewood Infected D120V 2/10/2016 H 60 644 584 2.54
2016 Coffeewood Infected D121V 2/10/2016 H 60 373 313 1.36 sell cow
2016 Coffeewood Infected D200V 2/4/2016 H 62 556 494 2.15
2016 Coffeewood Infected D201V 2/4/2016 H 70 504 434 1.89
2016 Coffeewood Infected D203V 2/4/2016 H 63 480 417 1.81
2016 Coffeewood Infected D204V 2/4/2016 H 75 532 457 1.99
2016 Coffeewood Infected D205V 2/4/2016 H 54 532 478 2.08
2016 Coffeewood Infected D206V 2/4/2016 H 73 620 547 2.38
2016 Coffeewood Infected D207V 2/4/2016 H 72 532 460 2.00
2016 Coffeewood Infected D209V 2/6/2016 H 65 560 495 2.15
2016 Coffeewood Infected D213V 2/9/2016 H 58 510 452 1.97
2016 Coffeewood Infected D214V 2/9/2016 H 68 512 444 1.93
2016 Coffeewood Infected D215V 2/9/2016 H 55 558 503 2.19
2016 Coffeewood Infected D216V 2/9/2016 S 64 530 466 2.03
2016 Coffeewood Infected D217V 2/13/2016 H 65 548 483 2.10
2016 Coffeewood Infected D218V 2/13/2016 H 70 405 335 1.46 sell cow
2016 Coffeewood Infected D219V 2/13/2016 H 60 470 410 1.78
2016 Coffeewood Infected D220V 2/13/2016 H 75 477 402 1.75
2016 Coffeewood Infected D3005 1/8/2016 H 50 666 616 2.68
2016 Coffeewood Infected D3015 1/9/2016 H 40 574 534 2.32
2016 Coffeewood Infected D3025 1/10/2016 H 45 592 547 2.38
2016 Coffeewood Infected D3035 1/15/2016 H 40 540 500 2.17
2016 Coffeewood Infected D3045 1/17/2016 H 39 574 535 2.33
2016 Coffeewood Infected D3055 1/20/2016 H 48 624 576 2.50
2016 Coffeewood Infected D3065 1/20/2016 H 37 546 509 2.21
2016 Coffeewood Infected D3075 1/20/2016 H 50 624 574 2.50
2016 Coffeewood Infected D3095 1/26/2016 H 37 467 430 1.87
2016 Coffeewood Infected D3105 1/25/2016 H 50 640 590 2.57
2016 Coffeewood Infected D3115 1/29/2016 H 53 558 505 2.20
2016 Coffeewood Infected D3135 1/29/2016 H 39 582 543 2.36
2016 Coffeewood Infected D3165 1/31/2016 H 70 556 486 2.11
2016 Coffeewood Infected D3195 1/30/2016 H 58 604 546 2.37
2016 Coffeewood Infected D3215 1/31/2016 H 44 694 650 2.83
2016 Coffeewood Infected D3225 2/1/2016 H 43 594 551 2.40
2016 Coffeewood Infected D3235 1/31/2016 H 56 544 488 2.12
2016 Coffeewood Infected D3255 2/3/2016 H 68 596 528 2.30
2016 Coffeewood Infected D3265 1/30/2016 H 53 572 519 2.26
2016 Coffeewood Infected D3315 2/11/2016 H 44 525 481 2.09
2016 Coffeewood Infected D3325 2/11/2016 H 49 474 425 1.85 sell cow-CRAZY
2016 Coffeewood Infected D3345 2/17/2016 50 510 460 2.00
2016 Coffeewood Infected D3415 2/15/2016 H 41.5 431 389.5 1.69 sell cow
2016 Coffeewood Infected D3425 2/17/2016 H 40 538 498 2.17
2016 Coffeewood Infected D3435 2/18/2016 H 45 469 424 1.84
2016 Coffeewood Infected D3445 2/18/2016 H 44 556 512 2.23
2016 Coffeewood Infected D3565 4/3/2016 H 65 446 381 1.66
2016 Coffeewood Infected D3575 4/3/2016 h 68 423 355 1.54
2016 Coffeewood Infected D3585 4/4/2016 H 55 432 377 1.64
2016 Coffeewood Infected D3595 3/31/2016 60 445 385 1.67
2016 Coffeewood Infected D3605 3/31/2016 B 50 464 414 1.80
2016 Coffeewood Infected D3615 4/8/2016 B 45 504 459 2.00
2016 Coffeewood Infected D3625 4/6/2016 B 45 368 323 1.40
2016 Coffeewood Infected D3635 4/4/2016 B 42 394 352 1.53
2016 Coffeewood Infected D3535 556 556 2.42
2016 Coffeewood Infected D0155 1/26/2016 B 45 524 479 2.08 on park paperwork
2016 Coffeewood Infected D0185 2/3/2016 B 53 510 457 1.99
2016 Coffeewood Infected D0195 2/3/2016 B 47 586 539 2.34
2016 Coffeewood Infected D0215 2/4/2016 B 75 489 414 1.80
2016 Coffeewood Infected D0225 2/6/2016 B 58 566 508 2.21
2016 Coffeewood Infected D0235 2/4/2016 B 55 592 537 2.33
2016 Coffeewood Infected D0245 2/6/2016 B 80 616 536 2.33
2016 Coffeewood Infected D0265 2/7/2016 B 47 596 549 2.39
2016 Coffeewood Infected D0275 2/6/2016 B 70 712 642 2.79
2016 Coffeewood Infected D0285 2/9/2016 B 58 648 590 2.57
2016 Coffeewood Infected D0305 2/9/2016 B 48 630 582 2.53
2016 Coffeewood Infected D0325 2/9/2016 B 55 658 603 2.62
2016 Coffeewood Infected D0335 2/10/2016 B 60 512 452 1.97
2016 Coffeewood Infected D0345 2/10/2016 B 61 548 487 2.12
2016 Coffeewood Infected D0385 2/13/2016 B 73 504 431 1.87
2016 Coffeewood Infected D0395 2/12/2016 B 42.5 481 438.5 1.91
2016 Coffeewood Infected D0405 2/12/2016 B 70 658 588 2.56
2016 Coffeewood Infected D0415 2/13/2016 B 58 590 532 2.31
2016 Coffeewood Infected D0425 2/12/2016 B 50 594 544 2.37
2016 Coffeewood Infected D0435 2/12/2016 B 61 612 551 2.40
2016 Coffeewood Infected D0485 2/16/2016 B 65 562 497 2.16
2016 Coffeewood Infected D0515 2/18/2016 B 42 538 496 2.16
2016 Coffeewood Infected D0545 2/19/2016 B 57 441 384 1.67
2016 Coffeewood Infected D0555 2/17/2016 B 43 516 473 2.06
2016 Coffeewood Infected D0575 2/23/2016 B 70 494 424 1.84
2016 Coffeewood Infected D0585 2/24/2016 B 74 500 426 1.85
2016 Coffeewood Infected D0595 2/24/2016 B 73 552 479 2.08
2016 Coffeewood Infected D0625 2/28/2016 B 38 584 546 2.37
2016 Coffeewood Infected D0645 2/25/2016 B 63 572 509 2.21
2016 Coffeewood Infected D0655 2/23/2016 B 95 518 423 1.84
2016 Coffeewood Infected D0665 2/22/2016 B 66 453 387 1.68
2016 Coffeewood Infected D0675 2/28/2016 B 45 526 481 2.09
2016 Coffeewood Infected D0685 2/26/2016 B 73 502 429 1.87
2016 Coffeewood Infected D0705 2/29/2016 B 50 614 564 2.45
2016 Coffeewood Infected D0715 2/29/2016 B 43 475 432 1.88
2016 Coffeewood Infected D0725 3/1/2016 B 90 658 568 2.47
2016 Coffeewood Infected D0735 3/1/2016 B 50 568 518 2.25
2016 Coffeewood Infected D0745 3/1/2016 B 42 538 496 2.16
2016 Coffeewood Infected D0755 3/3/2016 B 98 520 422 1.83
2016 Coffeewood Infected D0765 3/3/2016 B 101 594 493 2.14
2016 Coffeewood Infected D0775 3/2/2016 B 83 560 477 2.07
2016 Coffeewood Infected D0785 3/3/2016 B 46 473 427 1.86
2016 Coffeewood Infected D0795 3/9/2016 B 75 492 417 1.81
2016 Coffeewood Infected D0805 3/10/2016 B 63 476 413 1.80
2016 Coffeewood Infected D0815 3/10/2016 B 51 526 475 2.07
2016 Coffeewood Infected D0835 3/11/2016 B 41 470 429 1.87
2016 Coffeewood Infected D0845 3/11/2016 B 61.5 520 458.5 1.99
2016 Coffeewood Infected D0855 3/12/2016 B 76 459 383 1.67
2016 Coffeewood Infected D0875 3/16/2016 B 80 499 419 1.82
2016 Coffeewood Infected D0885 3/16/2016 B 92 470 378 1.64
2016 Coffeewood Infected D0905 3/17/2016 B 65 480 415 1.80
2016 Coffeewood Infected D0925 3/19/2016 B 70 490 420 1.83
2016 Coffeewood Infected D0935 3/20/2016 B 78 500 422 1.83
2016 Coffeewood Infected D0945 3/23/2016 B 56 434 378 1.64
2016 Coffeewood Infected D0955 3/23/2016 B 87 530 443 1.93
2016 Coffeewood Infected D0965 3/23/2016 B 74 560 486 2.11
2016 Coffeewood Infected D3085 1/25/2016 H 50 574 524 2.28
2016 Coffeewood Infected D3125 1/29/2016 H 41 632 591 2.57
2016 Coffeewood Infected D3145 1/31/2016 H 65 614 549 2.39
2016 Coffeewood Infected D3175 1/31/2016 H 60 600 540 2.35
2016 Coffeewood Infected D3185 1/31/2016 H 45 431 386 1.68
2016 Coffeewood Infected D3205 1/31/2016 H 80 582 502 2.18
2016 Coffeewood Infected D3245 2/3/2016 H 47 550 503 2.19
2016 Coffeewood Infected D3275 2/6/2016 H 45 552 507 2.20
2016 Coffeewood Infected D3285 2/9/2016 H 46 463 417 1.81
2016 Coffeewood Infected D3295 2/9/2016 H 43 528 485 2.11
2016 Coffeewood Infected D3305 2/10/2016 H 58 540 482 2.10
2016 Coffeewood Infected D3335 2/12/2016 H 43 648 605 2.63
2016 Coffeewood Infected D3355 2/21/2016 H 61 512 451 1.96
2016 Coffeewood Infected D3365 2/21/2016 H 63 552 489 2.13
2016 Coffeewood Infected D3375 2/22/2016 H 65 403 338 1.47
2016 Coffeewood Infected D3385 2/28/2016 H 82 614 532 2.31
2016 Coffeewood Infected D3395 2/28/2016 H 60 383 323 1.40
2016 Coffeewood Infected D3405 2/14/2016 H 64 708 644 2.80
2016 Coffeewood Infected D3455 2/27/2016 H 45 508 463 2.01
2016 Coffeewood Infected D3465 2/26/2016 H 61 463 402 1.75
2016 Coffeewood Infected D3475 2/28/2016 H 52 564 512 2.23
2016 Coffeewood Infected D3485 2/26/2016 H 66 480 414 1.80
2016 Coffeewood Infected D3495 2/28/2016 H 100 417 317 1.38
2016 Coffeewood Infected D3505 2/29/2016 H 45 389 344 1.50
2016 Coffeewood Infected D3515 3/3/2016 H 93 574 481 2.09
2016 Coffeewood Infected D3525 3/5/2016 H 48 472 424 1.84
2016 Coffeewood Infected D3535 3/9/2016 H 58.5 459 400.5 1.74
2016 Coffeewood Infected D3545 3/12/2016 H 68 413 345 1.50
2016 Coffeewood Infected D3555 3/21/2016 H 55 409 354 1.54
2016 Coffeewood Infected D3645 4/8/2016 H 50 437 387 1.68
2016 Jarratt Novel D550G 1/11/2016 S 52 592 540 2.35
2016 Jarratt Novel D551G 1/11/2016 S 58 550 492 2.14
2016 Jarratt Novel D552G 1/11/2016 S 70 624 554 2.41
2016 Jarratt Novel D553G 1/11/2016 S 102 644 542 2.36
2016 Jarratt Novel D554G 1/13/2016 S 105 698 593 2.58
2016 Jarratt Novel D555G 1/14/2016 S 107 728 621 2.70
2016 Jarratt Novel D556G 1/14/2016 S 84 606 522 2.27
2016 Jarratt Novel D557G 1/14/2016 S 70 598 528 2.30
2016 Jarratt Novel D558G 1/16/2016 S 77 608 531 2.31
2016 Jarratt Novel D559G 1/21/2016 S 83 688 605 2.63
2016 Jarratt Novel D560G 1/21/2016 S 78 594 516 2.24
2016 Jarratt Novel D561G 2/2/2016 S 89 668 579 2.52
2016 Jarratt Novel D562G 2/3/2016 S 85 672 587 2.55
2016 Jarratt Novel D563G 2/4/2016 S 85 642 557 2.42
2016 Jarratt Novel D564G 2/5/2016 S 102 704 602 2.62
2016 Jarratt Novel D565G 2/5/2016 S 98 692 594 2.58
2016 Jarratt Novel D566G 2/5/2016 S 95 704 609 2.65
2016 Jarratt Novel D567G 2/7/2016 S 87 742 655 2.85
2016 Jarratt Novel D568G 2/7/2016 S 105 714 609 2.65
2016 Jarratt Novel D569G 2/7/2016 S 102 752 650 2.83
2016 Jarratt Novel D570G 2/7/2016 S 82 656 574 2.50
2016 Jarratt Novel D571G 2/8/2016 S 85 680 595 2.59
2016 Jarratt Novel D572G 2/8/2016 S 95 618 523 2.27
2016 Jarratt Novel D573G 2/9/2016 S 90 658 568 2.47
2016 Jarratt Novel D574G 2/9/2016 S 100 718 618 2.69
2016 Jarratt Novel D575G 2/10/2016 S 98 706 608 2.64
2016 Jarratt Novel D576G 2/10/2016 S 100 604 504 2.19
2016 Jarratt Novel D577G 2/13/2016 S 99 746 647 2.81
2016 Jarratt Novel D578G 2/13/2016 S 102 692 590 2.57
2016 Jarratt Novel D579G 2/14/2016 S 71 566 495 2.15
2016 Jarratt Novel D580G 2/16/2016 S 89 572 483 2.10
2016 Jarratt Novel D581G 2/19/2016 S 89 614 525 2.28
2016 Jarratt Novel D582G 2/24/2016 S 71 542 471 2.05
2016 Jarratt Novel D583G 2/25/2016 S 95 684 589 2.56
2016 Jarratt Novel D584G 2/26/2016 S 87 618 531 2.31
2016 Jarratt Novel D585G 2/26/2016 S 95 664 569 2.47
2016 Jarratt Novel D586G 2/28/2016 S 102 578 476 2.07
2016 Jarratt Novel D587G 2/28/2016 S 83 598 515 2.24
2016 Jarratt Novel D588G 2/28/2016 S 77 642 565 2.46
2016 Jarratt Novel D589G 2/29/2016 S 100 672 572 2.49
2016 Jarratt Novel D590G 3/4/2016 S 83 620 537 2.33
2016 Jarratt Novel D591G 3/5/2016 S 105 598 493 2.14
2016 Jarratt Novel D592G 3/5/2016 S 95 612 517 2.25
2016 Jarratt Novel D593G 3/5/2016 S 90 668 578 2.51
2016 Jarratt Novel D594G 3/7/2016 S 77 620 543 2.36
2016 Jarratt Novel D595G 3/7/2016 S 93 586 493 2.14
2016 Jarratt Novel D596G 3/10/2016 S 81 570 489 2.13
2016 Jarratt Novel D597G 3/19/2016 S 87 604 517 2.25
2016 Jarratt Novel D598G 3/19/2016 S 96 506 410 1.78
2016 Jarratt Novel D599G 3/19/2016 S 83 658 575 2.50
2016 Jarratt Novel D650G 1/11/2016 H 72 678 606 2.63
2016 Jarratt Novel D651G 1/11/2016 H 78 720 642 2.79
2016 Jarratt Novel D652G 1/11/2016 H 65 610 545 2.37
2016 Jarratt Novel D653G 1/11/2016 H 75 600 525 2.28
2016 Jarratt Novel D654G 1/11/2016 H 70 602 532 2.31
2016 Jarratt Novel D655G 1/11/2016 H 73 500 427 1.86
2016 Jarratt Novel D656G 1/12/2016 H 70 630 560 2.43
2016 Jarratt Novel D657G 1/12/2016 H 70 540 470 2.04
2016 Jarratt Novel D658G 1/14/2016 H 83 574 491 2.13
38
Appendix B
39
Appendix C
40
Appendix D
41
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