select sires nebel technology session sires_afimilk_scr...• federation of 10 farmer-owned and...
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Ra NebelRa NebelRay NebelRay NebelV.P. Technical Service Programs V.P. Technical Service Programs
Select Sires IncSelect Sires IncSelect Sires Inc.Select Sires Inc.
Select Sires Inc & MembersSelect Sires Inc & Members• Established in 1965
• Federation of 10 farmer-owned and controlled cooperatives located in Plain City OHCity, OH
• Largest A.I. organization in North American
• Approximately 800 employees
• Genetics and Reproductive Programs and Services (~400 A.I. Technicians)
DairymasterDairymaster• Established in 1968
• Headquarters in Causeway, Co. Kerry, IrelandIreland
• Currently our home market share > 70%
• Export > 70% of production
• Currently exporting to 40 countries
How Does It Work?How Does It Work?• Select Detect measures cow activity by
How Does It Work?How Does It Work?• Select Detect measures cow activity by
combining nanotechnology and intelligence.
• Periodically recorded data is downloaded• Periodically recorded data is downloaded wirelessly to the base station.
Th S l t D t t ft i th• The Select Detect software running on the PC downloads the activity data from the PC Interface to the PC for analysis.
• The activity analysis program is used to examine cow activity to assist in heat detectiondetection.
Base StationBase Station
C tC tComputer Computer ––Software Interface Software Interface
MonitorsMonitors
Accelerometers…Accelerometers…Accelerometers were developed first for the military, aerospace and automotive industries…
Now they are becoming more popular in industrial medical and consumerin industrial, medical and consumer devices… Accelerometer
4mm x 4mm1/6” x 1/6”
Dairymaster was at the start of this curve with state of the art animal activity monitoring…
User InterfaceUser Interface•Summary
User InterfaceUser Interfacescreen appears on loading.
•Tabs show individual data.
•Most used items appear on “Other tasks”Other tasks list.
Daily ActivityDaily Activity
Hourly ActivityHourly Activity
Timing of Insemination Field TrialTiming of Insemination Field Trial
• Objectives:– To obtain knowledge of the system from installation, trouble‐
shooting, and development of protocols.– To determine if there is an optimum time of A.I. using Select
Detect™• Twenty‐one herds across 9 states: (2 heifers herds) • May 1 to September 1 2010• May 1 to September 1, 2010• Dairy personnel recorded time of A.I. in the Select
Detect™ Analysis Program and time of first “red bar” was used as onset of high activity to determine interval from onset of high activity to breeding.
• Management software back ups were used to obtain• Management software back‐ups were used to obtain reproductive status and lactation data.
Effect of Interval from Onset ofEffect of Interval from Onset of
50aa
High Activity to A.I. on Conception Rates High Activity to A.I. on Conception Rates
30
35
40
45
rate
b
ab
b ab
c
b
ab
b ab
c c c
cd
15
20
25
30
onception
1st Lactation
2nd+ Lactation
d
0
5
10
15C
268 467 467 254 207 361 607 656 435 297
0 to 4 5 to 8 9 to 12 13 to 16 17 to 26
Interval to AI (hours)
ab – Means within 1st lactation cows lacking common superscripts differ (P < 0.05).ab Means within 1st lactation cows lacking common superscripts differ (P < 0.05).cd – Means within 2nd and greater lactation cows lacking common superscripts differ (P < 0.05).
Select Detect AppSelect Detect AppSelect Detect AppSelect Detect App• PC & laptops - Google Chrome, Firefox, or Safari BrowserBrowser
• iPhones
• Androids
• iPadsiPads
• Blackberry v6
Select Detect Herd Activity ScreenSelect Detect Herd Activity ScreenSelect Detect Herd Activity ScreenSelect Detect Herd Activity Screen
Select Detect App Daily ActivitySelect Detect App Daily ActivitySelect Detect App Daily ActivitySelect Detect App Daily Activity
Days in Milk at 1st Servicey
Before Select Detect
125
100
r of c
ows100
75
Num
ber
50
25
025 50 75 100
Days in Milk at 1st Servicey
After Select Detect
125
100100
75r of c
ows
50Num
ber
25
025 50 75 100
Before Select DetectDays until re-inseminated
Before Select DetectHeat Detection via Chalk Timed AI
700700
500
r of c
ows
300
Num
ber
100
0 21 42 63Days Since Last Heat
Days until re-inseminatedAfter Select Detect
Select Detect Timed AI
100100
75
50r of c
ows
50
Num
ber
25
021 42 63
Days Since Last Heat
Weekly Conception
After Select DetectAverage Conception 35%
Before Select DetectAverage Conception 31%
Select Detect AdvantagesSelect Detect Advantages• Service Select Sires knows reproductive management
Select Detect AdvantagesSelect Detect Advantages• Service – Select Sires knows reproductive management,
SRS, SMS, breeding services, genetics, etc.• Only app on the marketOnly app on the market• Follow Up Support• Software (ease ability, algorithms)Software (ease ability, algorithms)• Customization• Upgrades (no technology expiration)pg ( gy p )• Continued Research• Replaceable Partsp
Thank YouThank You
AfiHeatAfiHeatAfimilkAfimilk –– Activity Monitoring SystemActivity Monitoring SystemAfimilk Afimilk Activity Monitoring System Activity Monitoring System
Alon Arazi ‐ Afimilk Applied Research Group [email protected]
DCRC DCRC 2011 2011 Annual MeetingAnnual MeetingNovemberNovember 1010 –– 1111 20112011 •• Kansas City MissouriKansas City MissouriNovember November 10 10 1111, , 2011 2011 Kansas City, MissouriKansas City, Missouri
www.afimilk.com
S.A.E. Afikim (Afimilk)S.A.E. Afikim (Afimilk)• S.A.E. Afikim (Special Agricultural Equipment) develops, produces and
markets computerized milking solutions in Israel and around the world
• Founded in 1977 at Kibbutz Afikim
• First in the world to launch electronic milk meter (1979) and to come out ith t i d t twith a computerized management system
• Active in 50 countries worldwide, with thousands of computerized management system installations, more than100,000 milk meters andmanagement system installations, more than100,000 milk meters and over 1,500,000 pedometers.
• Leverages the vast knowledge base of the Israeli milk market, and takes i l di h i h d i i i l ll d b dpart in leading research with academic institutes locally and abroad.
S.A.E. Afikim S.A.E. Afikim –– Major MilestonesMajor Milestones
1977 – Company founded
1979 – Launch of the world’s first electronic milk meter
1984 – Start of Activity Monitoring system (pedometer) sales
1993 – Development of world’s first integrated computerized dairy1993 Development of world s first integrated computerized dairy farm management SW system
2008 – Started milk analyzer (AfiLab) sales
2009 – Started selling Dairy Farm Solutions (DFS) Projects
2011 – Afimilk office for sales and support replaced indirect sales in pp pthe USA
AutomaAutomatedted Data Data CollectionCollection
• Sensors at key locations on the dairy farm
• Accurate data
R li bl id tifi ti• Reliable identification
• Management by exception - analysis and reports
• Modularity of sub-systems (for specific applications)
A t ti d t ll ti i i d li bl• Automatic data collection is easier and more reliable
Requirements of ED Systems Requirements of ED Systems ((SengerSenger, , 19941994))q yq y
• 24/7 operation• Automatically detection of cows in estrus• Operational for cow’s entire reproductive lifetime• Decreases labor and costs• Accurately detects estrus events with reliable correlation to timing of ovulation
AfimilkAfimilk ED ED SySystem stem -- AfiHeatAfiHeatEstrus detection and cow behavior
All‐in‐one unit• ID system for all stations• Pedometer – activityPedometer activity• Lying down – cow wellbeing and comfort• Stand‐alone unit or part of AfiMilk parlorsStand alone unit or part of AfiMilk parlors
AfiHeat
•• AfiHeat program and PC card d l ll• Ideal controller
• 2 antennas• Pedometers
AfiHeatAfiHeat PerformancePerformanceEfficiency and Accuracy Rates of AfiHeat System (Commercial farm ~ 600 milking cows, without any other ED methods )
AllSummer‐AutumnSpring
89.2)811/909(
89.5)435/486(
88.9)376/423(Efficiency Rate (%)
88.5)811/916(
88.2)435/493(
88.9)376/423(Accuracy Rate (%) )811/916()435/493()376/423(y
10.810.511.1Missing Alarms (%)
11 511 811 1False Alarms (%) 11.511.811.1False Alarms (%)
Efficiency Rate - Number of correct alerts as % of total potential estrus/ovulations (progesterone).Accuracy Rate Number of correct alerts (progesterone) as % of totalAccuracy Rate - Number of correct alerts (progesterone) as % of total alerts
Kaim et al., 2011
Percentage Percentage of of Double Cycles FollowingDouble Cycles Following
35
Installation Installation of of AfiHeatAfiHeat SystemSystem
30
Double Cycles(%)
25
20
15
Years95/96 96/97 97/98 98/99 99/00
10
Aizinbud 2000, Personal communication
Years
When To Breed? When To Breed? Hours after onset of activity increase
Recommended breedingtiming
Timing of highest C.R.
(CR%)
Time of ovulation timing(CR%)
High CR: 7‐24O ti l 11 1613‐18 (85.7)
29.3±3.9(80% betweenRoelfos, 2005 Optimal: 11‐16( )(80% between
26‐32 hr),
High CR: 0‐248‐16 (84.2)j High CR: 0 24Optimal: 11‐12
8 16 (84.2)Mattje, 1997
Timing of Insemination Timing of Insemination bbased on ased on PedometryPedometry Systems Systems ((MaatjeMaatje, , 19971997))
TI = time from calculated onset of estrus to AI
TimetableTimetable (Hours)(Hours)( )( )
O l tiPeak Estrus Best Timing for Oocyte
LongevityOvulationLH Signs Insemination
13
Longevity
‐24 ‐21 ‐8 0 6‐8
1321
Final timing for insemination
Timing of Insemination Timing of Insemination babased on sed on afimilkafimilkPedometryPedometry SystemSystem (H j & Ai b d(H j & Ai b d 19971997))
• Four commercial dairy farms, December 1995 – June 1996• Threshold for activity deviation – increase of ≥ 90%
PedometryPedometry System System (Hojman & Aizenbud, (Hojman & Aizenbud, 19971997))
• Threshold for activity deviation – increase of ≥ 90%• Time of deviation = middle of milking
Timing of Insemination Timing of Insemination babased on sed on afimilkafimilk
C R (%) in correlation of insemination from
PedometryPedometry System System (Hojman & Aizenbud, (Hojman & Aizenbud, 19971997))
60 55 7
C.R. (%) in correlation of insemination from time of first activity deviation
CR (%)3040
50
28 6
55.7 53.4
43.4 42.3 43
27 6CR (%)
10
20
30 28.6 27.6
0
< 5‐ 5‐0‐ 0‐5 6‐10 11‐15 16‐21 >21
Time of insemination from time of first activity deviation (hrs)
Herd Reproduction PerformanceHerd Reproduction Performance
Pregnancy Rate = EDR * CR
pp
g yEDR (Estrus Detection Rate) = Activity monitoringCR (Conception Rate) = Timing of inseminationCR (Conception Rate) Timing of insemination
85‐90% of the variation in open days is caused by85 90% of the variation in open days is caused by differences in estrus detection and only 10‐15% is due to differences in conception rate (Blair, 1990)
Improving Improving Reproductive PReproductive Performanceerformance
Reduction of open days following installation of
pReduction in No of No of Afimilk system
pOpen Days cowsherds
<0.03‐194807Carmi, 1992
<0.001‐14.73,10065Gelb, 1996
Additional Capabilities of Additional Capabilities of AfiHeatAfiHeat SystemSystem• Rest behavior data:o More accurate and efficient estrus detection
Cystic cow
o Provides information on health wellbeing and comfort
• Abortion detection• Early detection of unsuccessful inseminations• Identification of cystic and anestrus cows• Analysis reports
A t• Supportive data of Afimilk system o Energy balance (milk components, BW, milk production)
Anestrus
are cows ready to conceive ?
Thank youThank you
Doron Bar, DMV, PhDChief Scientist
SCR Engineers, Israel
SCR™ Cow Status Monitoring Systems
Will you become a better producer when you know more about your individual cows’ status?
ReproductionHealthHealthNutrition
Reproductive efficiency is not only about heat detection but about heatReproductive efficiency is not only about heat detection– but about heat detection, herd health and herd nutrition.
Objective Data- A Key to Management
If you can’t measure it, you can’t manage it…
Can you afford not to know?
SCR Engineers by the Numbers
• Established in 1976, SCR is a worldwide leading original manufacturer of innovative solutions for dairy farms.
• SCR is the world's the largest manufacturer of electronic milk meters -• SCR is the world s the largest manufacturer of electronic milk meters -more than 250,000 units installed in the field.
• Nine out of ten milking robots sold in the world contain SCR Components.p
• SCR leads the industry in the area of electronic collar tags for estrus detection and health monitoring - more than 8,500 systems and 1,000,000 tags deployed world wide since 2007.
• Largest tagged farm with approximately 6,500 activity monitoring tags.
• Approximately 30% of UK and Denmark national herd is bred off of Heatime®.
The H‐Tag™
• Unique cow motion sensor (3D acceleration meter).• Filters head movements.Filters head movements.• Easy and secure attachment.• Separate data storage in 2 hour intervals.• 8 year lifetime with 6 year graduated warranty. y y g y
The HR‐Tag™
• Unique cow motion sensor (three-dimensional acceleration meter).B ilt i i h d d l i ti• Built-in microphone records and analyzes rumination.
• Filters head movements.• Easy and secure attachment.• Separate data storage in 2 hour intervals• Separate data storage in 2 hour intervals.• 8 year lifetime with 6 year graduated warranty.
Heatime® Processor Platforms
Heatime for PCHeatime®-HRHeatime®Feature/System
H & HR TagsH & HR TagsH-TagTag Type Supported
Over 10001000600Maximum Number of Cows (Tags)
Life time1 Year60 DaysData History
YesYesNoHerd Groups
YesYesNoCow Card
5 X 3 24 X 3 22 (HD10)S ti G t 5 X 3or2 way4 X 3or2 way2 way (HD10)Sorting Gate
YesYesNo (only with PC)Printing
YesYesWith PC OnlySMS Alerts
Milking & Full herdNoneNoneExpansion Options Milking & Full herd Mgt.
NoneNoneExpansion Options
Multi LanguageMulti LanguageWithout AsianLanguage
Up To 200 ID Units.Up to 63 ID UnitsUp to 4 ID UnitsID Units
Heatime® - Activity Analysis Operating Principles
Clear activity peak indication using STD (standard deviation) based algorithm.
Heats determined through the analysis of a minimum of FOUR 2 hour segments.
Variable viewing resolution.
Raw data viewing option.
Graph peak correlates with standing heat.
Heatime® ‐ Insemination TimingA S h o r t W i n d o w o f O p p o r t u n i t y f o r A I
Heatime Insemination Timing
H o u r s a f t e r t h e o n s e t o f e s t r u s
E s t r u s O v u l a t i o n
O p t i m a l t i m e t o i n s e m i n a t e
V i a b l e O v a f o r 1 2 h o u r s
V i a b l e S p e r m 2 4 - 3 0 h o u r s
1 1 2 1 60 3 3
45
55
35
cept
ion
rate
Farm 1 (365)Farm 2 (363)Farm 3 (320)
15
25
Con
c Farm 4 (5302)
5h: -8…0 h: 0…8 h: 8…16 h: 16…24 h: 24…36
Hours from peak of weighted activity to insemination
Heatime® vs. TAI – University of Guelph
Neves et al ; ADSA Discover conference 2011Neves et al.; ADSA Discover conference 2011
Heatime® detects “real” heats and recommends the correct timing for insemination
University of Wisconsin
• “For the 42 cows included in the analysis, 26% (11/42) underwent luteal regression but did not ovulate (2 were detected in estrus by Heatime; HDR=18%), whereas 74% (31/42) regressed their CL and ovulated (28 were detected in estrus by Heatime; HDR=90%). “
• “We conclude that the Heatime system determined the correct timingWe conclude that the Heatime system determined the correct timing of AI for most of the cows that displayed estrus and that treatment with GnRH at the time of AI determined by the Heatime system did not affect fertility in lactating dairy cows.”
Valenza et al. J. Dairy Sci. Vol. 94, E‐Suppl. 1
Heatime® With Rumination Monitoring
The Only Comprehensive Cow Status Monitoring Solution in the Market Today
HR Tags- Heatime® With Rumination Monitoring
It W k !!!It Works!!!
Schirmann et al ; J Dairy Sci 92 :6052–6055Schirmann et al.; J. Dairy Sci. 92 :6052 6055
HR Tags- Heatime® With Rumination Monitoring
Changes in Rumination Time on Day of Specific Events
mastitisHeat Trim HeatCalvingDry periodParameterstressDate
gy
Close-upDry
4567198199757275# cows or # eventsevents
-63-20-39-75-255-66-43Change in rumination
12.93.408.776.1910.42.501.93SE
For all parameters, P<0.0001P
*V l t h i i ti (LSM) i i t th t d d*Value represents change in rumination (LSM), in comparison to the standard lactation value of 478 minutes/day
HR Tags- Heatime® With Rumination Monitoring
Additional confirmation of a cow in heat.
HR Tags- Heatime® With Rumination Monitoring
“The results of the present study provide a new insight in which rumination time plays a pivotal role in the negative effect of heat stress on DMI and, consequently, onmilk production”.
Moallem et al.; J. Dairy Sci. 93 :3192–3202
HR Tags- Heatime® With Rumination Monitoring
“Feeding rate decreased in both treatments by 10% after regrouping.
Rumination times also decreased by approximately 9% in both
treatments…No changes were observed in daily lying time after regrouping
in either treatment…” Schirmann et al.; J. Dairy Sci. 94 :2312–2319
HR Tags- Heatime® With Rumination Monitoring
Effective monitoring of veterinarian treatment effectiveness.
Effective Treatment Ineffective Initial Treatment
M titiMastitis
Mastitis
Mastitis
Mastitis
MastitisMastitis
HR Tags- Heatime® With Rumination Monitoring
Post partum monitoring.
500
600
n)
300
400
min
atio
n (m
i
100
200
Dai
ly R
um
02 3 4 5 6 7
Days after calving
Healthy light ketosis or metritis moderate metritis or ketosis Displaced abomasum
HR Tags- Heatime® With Rumination Monitoring
Rumination sensitivity to nutritional changes.
TMR Change
Herd Average Daily Rumination
Drop in Milk
Production TMR Change
nute
s
Production
TMR Change
umin
atio
n m
in
Return to old Ration
Return to old Ration
Dai
ly ru
HR Tags- Heatime® With Rumination Monitoring
Where to get it?
Stewart Farms• 3rd generation dairy in Nampa, Idaho• 500 acres farmland• 500 acres farmland• 750 cows • RHA 27,000 lbs• 25% avg Preg Rate 2010• Installed SCR‐H™ tags Fall 2006g• Installed SCR‐HR™ tags August 2011
Stewart FarmsStewart Farms2006 2007 2008 2009 2010
AveragePreg Rate
18.1 18.4 22.1 22.5 25.6
Average1st Service
41.4 40.2 43.6 39.5 38.2
Percent confirmed/yr & average
48.94 1
62.75 2
77.06 4
81.66 8
81.96 8% confirmed
per month
4.1 5.2 6.4 6.8 6.8
Stewart Farms• Finding cows 12‐24 hours sooner than with milk meters with SCR‐HR™ tag– Just beginning– HR tag report vs. milk meter exception report– Small cow population/observations