integrated weed control for organic apple orchards...(stefanelli et. al, 2009); and weed density and...

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Integrated Weed Control for Organic Apple Orchards Canopeo app Fig. 1: Raw photo and Canopeo analysis of sample relevés, taken on iPhone 2017/5/10 by David Zakalik Top: Cultivation+Final San-O. 16.06% cover Bottom: Cultivation + Mowing. 84.51% cover Effective weed control in organic orchards is among the greatest challenges faced by apple growers. Previous experiments have assessed the effects of different organic-certified apple orchard floor management systems (OFMSs) on tree growth and yield (Stefanelli et. al, 2009); and weed density and weed diversity (Ustuner & Ustuner, 2001; Tasseva, 2005; Lisek & Sas-Paszt, 2015). Few studies have characterized and compared the effects of different organic OFMSs on weed mass and cover specifically, let alone changes in these parameters over time. The recent advent of the Canopeo app (OSU, 2015) has made assessment of weed cover fast, simple, accurate, and precise. We are conducting a long-term phytosociological and soil-health study of organic apple OFMSs. Begun in 2016 and continuing in 2018, this study aims to investigate the effects of organic OFMSs on soil health, weed cover and mass, foliar nutrition, tree growth, weed biodiversity, and prevalence of individual weed species, over four-month seasons. Experimental Design Randomized complete block, split-plot 12 treatment combinations × 4 blocks = 48 repetitions, ~5-8 trees each. 8 rows of ‘Honeycrisp (Firestorm)’/‘B.9’ trees treated as follows: Main treatments, ~36-40 trees each: Bare soil, Cultivation, Mulch Sub-treatments, ~5-8 trees each: Control, Mowing, Suppress, Final-San-O Mulch applied in early June 2016; not reapplied Cultivation, mowing, and herbicide applied once monthly June through August 2016 Weed cover: Suppress and Final-San-O plots had significantly (p<0.001) lower weed cover than mowed plots, across all main treatments. Mulched plots had significantly (p<0.001) lower weed cover than Bare-Soiled or Cultivated, across all sub-treatments. Time had a significant effect (p<0.001) on weed cover across all treatments. Total weed biomass: Suppress and Final-San-O and Mowing were all equally effective in reducing overall weed mass compared to control. Mulched plots had significantly (p<0.001) lower weed mass than Bare-Soiled or Cultivated, across all sub-treatments. Time had a significant effect (p<0.05) on weed cover across all treatments. Table 2. Four-month dry-mass averages of top 11 weed species by main and sub-treatments. Weed taxon biomass: Masses of five top taxa were significantly affected by time: Grasses, Plantago major, Prunella vulgaris, Taraxacum officinale, and Trifolium repens. With the exception of P. vulgaris, the effect of time on these taxa’s biomass is attributable to either average monthly air temperature or total rainfall. Climatic effects: Total weed biomass and Shannon Diversity Index both significantly affected by total monthly rainfall (p=0.022 and p<0.001, respectively). Weed Cover significantly affected by average monthly temperature (p<0.001). Tree growth: Mulch and herbicide sprays had a significant (p<0.001) positive effect on tree growth in 2016. In 2017, mulched trees again grew more than trees in bare or cultivated soil. Soil health: Mulch had a strong positive impact on all soil health parameters except soil pH and Zinc. Superficially cultivated plots had slightly higher organic matter and soil protein than bare-soiled plots. References Lisek, J. Synanthropic orchard flora in West Mazovia—Central Poland. Journal of Fruit and Ornamental Plant Research, 2012, 20(2): 71-83. Lisek, J. & Sas-Paszt, L. Biodiversity of weed communities in organic and conventional orchards. Journal of Horticultural Research, 2015, 23(1): 39-48. OSU: Patrignani, A. and Ochsner, T.E., 2015. Canopeo: A powerful new tool for measuring fractional green canopy cover. Agronomy Journal, 107(6), pp.2312-2320. Stefanelli, D., Zoppolo, R.J., Perry, R.L, & Weibel, F. Organic Orchard Floor Management Systems for Apple Effect on Rootstock Performance in the Midwestern United States. HortScience, 2009, 44(2): 263-267. Tasseva, V. Species composition of weed vegetation in different apple growing technologies. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 2005, 33: 59-64. Ustuner, T. & M. Investigation on different mulch materials and chemical control for controlling weeds in apple orchard in Turkey. Scientific Research and Essays, 2011, 6(19): 3979-3985. Table 4: Fall 2017 soil analysis results. After two years, mulch appears to enhance weed suppression, suppress weed biodiversity, and promote tree growth and soil health. Mulch and herbicide sprays appear to be most effective in controlling weed growth. Another season’s analysis will elucidate the effects of these organic weed management methods. Weed biodiversity: Cultivation had the strongest positive effect on weed biodiversity. Mulch and Suppress herbicide had the strongest negative effects on weed biodiversity. Time had significant (p=0.002) effect on Shannon Diversity Index (SDI) across all treatments. Figs. 1a-1c: Average total relevé weed mass by treatment. Figs. 2a-2c: Average relevé weed cover by treatment. Figs. 3a-3c: Average relevé SDI by treatment. Thirty weed taxa identified, 29 at species level; grasses treated as one taxon. Eleven taxa with highest total biomass ranked; 19 remaining taxa summed (Table 1). Table 1. Top 11 weed taxa by biomass, summed across all months and treatments. Species/Taxon Rank by total biomass Grasses 1 Taraxacum officinalis 2 Plantago lanceolata 3 Solidago canadensis 4 Ranunculus bulbosus 5 Cirsium arvense 6 Cichorium intybus 7 Plantago major 8 Prunella vulgaris 9 Linaria vulgaris 10 Trifolium repens 11 All others N/A Cultivation, mowing, and herbicide applications repeated in May, June, July, and August 2017, after weed samplings. ¼-m 2 relevés under trees chosen randomly; no relevé sampled twice Relevés assessed for weed cover using the Canopeo app All above-crown weed foliage within relevés cut, sorted by species, and dried for seven days at 70°C Weeds sampled once monthly in the second weeks of May through August (exact dates in Figs. 1-3) Tree trunks measured 30 cm above graft union in Spring 2016, Fall 2016, and Fall 2017. Investigators: David Zakalik; Mike Brown; Gregory Peck School of Integrative Plant Science—Horticulture Section Figure 4. TCSA over time, by Main treatment Treatment, sub-treatment % Change (Spring- Fall 2016) % Change (Fall 2016- Fall 2017) Bare Soil 25.1 x 49.4 x Untreated 22.0 B 36.2 Mowing 16.8 A 44.4 Suppress 34.6 C 55.0 Final San-O 33.0 C 56.9 Cultivation 27.9 x 43.1 x Untreated 24.7 B 54.1 Mowing 19.3 A 40.4 Suppress 34.8 C 40.7 Final San-O 32.8 C 35.4 Mulch 37.0 y 57.3 y Untreated 41.2 B 57.9 Mowing 25.8 A 57.6 Suppress 42.7 C 58.1 Final San-O 45.5 C 64.8 Main <0.001 <0.001 Split <0.001 0.532 Table 3. Change in TCSA, by treatment Acknowledgements: Toward Sustainability Foundation NYS Soil Health Initiative 2016 and 2017 Cornell Orchard Interns Biomass of individual weed taxa: 7 of top 11 taxa affected by main treatment, 6 affected by sub-treatment, 2 affected by both main and sub-treatment. Main/sub interactions not significant. Introduction Procedure and Methods Preliminary Results, 2016-2017 Conclusions/Further Study Taraxacum officinalis biomass (g) Trifolium repens biomass (g) Biomass, all other species (g) 5.5 xy 1.0 y 1.8 5.7 0.9 3.5 2.3 0.6 1.8 6.0 1.0 0.7 8.0 1.4 1.2 7.6 y 0.2 x 2.9 5.7 0.1 4.9 6.7 0.1 2.0 6.2 0.1 2.6 11.6 0.3 2.1 3.0 x 0.5 xy 0.9 2.8 1.2 1.3 2.1 0.4 0.3 3.3 0.2 1.6 3.7 0.2 0.3 0.009 0.023 0.104 0.674 <0.001 0.022 Treatment, sub-treatment Cichorium intybus biomass (g) Cirsium arvense biomass (g) Grasses biomass (g) Linaria vulgaris biomass (g) Plantago lanceolata biomass (g) Plantago major biomass (g) Prunella vulgaris biomass (g) Ranunculus bulbosus biomass (g) Solidago canadensis biomass (g) Bare Soil 0.8 xy 3.1 7.5 y 0.2 x 8.1 y 0.7 1.3 y 1.7 5.7 Untreated 1.1 11.2 B 9.3 B 0.4 B 8.6 1.6 B 3.7 1.4 A 10.0 B Mowing 0.3 0.5 AB 0.7 A 0.1 A 10.2 0.4 A 0.5 2.9 B 5.2 AB Suppress 0.4 0.5 A 11.4 AB 0.0 A 8.1 0.3 A 0.3 0.0 A 1.3 A Final San-O 1.6 0.0 A 8.6 AB 0.2 A 5.7 0.4 A 0.7 2.5 A 6.2 AB Cultivation 2.5 y 1.2 6.3 xy 1.4 y 2.1 x 1.5 0.3 x 3.5 4.3 Untreated 3.1 1.4 B 10.2 B 3.9 B 1.3 5.1 B 0.0 2.1 A 9.9 B Mowing 0.6 1.8 AB 5.4 A 0.5 A 1.5 0.6 A 0.0 7.3 B 4.9 AB Suppress 5.3 1.0 A 6.3 AB 1.0 A 4.7 0.2 A 0.1 1.1 A 0.6 A Final San-O 1.0 0.5 A 3.2 AB 0.3 A 1.0 0.0 A 1.1 3.6 A 1.8 AB Mulch 0.4 x 0.6 2.5 x 0.2 x 3.7 x 1.3 0.3 x 3.5 3.8 Untreated 1.3 0.5 B 4.7 B 0.4 B 11.6 3.4 B 0.0 0.7 A 5.8 B Mowing 0.3 1.0 AB 0.7 A 0.1 A 1.9 1.3 A 0.4 10.8 B 4.7 AB Suppress 0.0 0.5 A 2.7 AB 0.1 A 0.8 0.1 A 0.1 0.4 A 1.3 A Final San-O 0.2 0.5 A 1.8 AB 0.1 A 0.5 0.4 A 0.6 2.3 A 3.4 AB Main 0.027 0.099 0.006 <0.001 <0.001 0.529 0.016 0.122 0.643 Split 0.319 0.012 0.011 0.001 0.055 <0.001 0.093 <0.001 0.018 Month 0.292 0.777 0.006 0.368 0.953 0.014 0.036 0.309 0.799

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Integrated Weed Control for Organic Apple Orchards

Canopeo app

Fig. 1: Raw photo and Canopeo analysis of sample relevés, taken on iPhone 2017/5/10 by David Zakalik

Top: Cultivation+Final San-O. 16.06% cover Bottom: Cultivation + Mowing. 84.51% cover

Effective weed control in organic orchards is among the greatest challengesfaced by apple growers.

Previous experiments have assessed the effects of different organic-certifiedapple orchard floor management systems (OFMSs) on tree growth and yield(Stefanelli et. al, 2009); and weed density and weed diversity (Ustuner &Ustuner, 2001; Tasseva, 2005; Lisek & Sas-Paszt, 2015).

Few studies have characterized and compared the effects of different organicOFMSs on weed mass and cover specifically, let alone changes in theseparameters over time. The recent advent of the Canopeo app (OSU, 2015)has made assessment of weed cover fast, simple, accurate, and precise.

We are conducting a long-term phytosociological and soil-health study oforganic apple OFMSs. Begun in 2016 and continuing in 2018, this study aimsto investigate the effects of organic OFMSs on soil health, weed cover andmass, foliar nutrition, tree growth, weed biodiversity, and prevalence ofindividual weed species, over four-month seasons.

Experimental Design• Randomized complete block, split-plot• 12 treatment combinations × 4 blocks =

48 repetitions, ~5-8 trees each.• 8 rows of ‘Honeycrisp (Firestorm)’/‘B.9’

trees treated as follows:

Main treatments, ~36-40 trees each:Bare soil, Cultivation, Mulch

Sub-treatments, ~5-8 trees each:Control, Mowing, Suppress, Final-San-O

• Mulch applied in early June 2016; notreapplied

• Cultivation, mowing, and herbicideapplied once monthly June throughAugust 2016

Weed cover: Suppress and Final-San-O plots had significantly(p<0.001) lower weed cover than mowed plots, across allmain treatments. Mulched plots had significantly (p<0.001)lower weed cover than Bare-Soiled or Cultivated, across allsub-treatments. Time had a significant effect (p<0.001) onweed cover across all treatments.

Total weed biomass: Suppress and Final-San-O and Mowingwere all equally effective in reducing overall weed masscompared to control. Mulched plots had significantly(p<0.001) lower weed mass than Bare-Soiled or Cultivated,across all sub-treatments. Time had a significant effect(p<0.05) on weed cover across all treatments.

Table 2. Four-month dry-mass averages of top 11 weed species by main and sub-treatments.

Weed taxon biomass: Masses of five top taxa were significantly affected by time:Grasses, Plantago major, Prunella vulgaris, Taraxacum officinale, and Trifoliumrepens. With the exception of P. vulgaris, the effect of time on these taxa’sbiomass is attributable to either average monthly air temperature or totalrainfall.

Climatic effects: Total weed biomass and Shannon Diversity Index bothsignificantly affected by total monthly rainfall (p=0.022 and p<0.001,respectively). Weed Cover significantly affected by average monthly temperature(p<0.001).

Tree growth: Mulch and herbicide sprays had a significant (p<0.001) positiveeffect on tree growth in 2016. In 2017, mulched trees again grew more than treesin bare or cultivated soil.

Soil health: Mulch had a strong positive impact on all soil health parametersexcept soil pH and Zinc. Superficially cultivated plots had slightly higher organicmatter and soil protein than bare-soiled plots.

ReferencesLisek, J. Synanthropic orchard flora in West Mazovia—Central Poland. Journal of Fruit and Ornamental Plant

Research, 2012, 20(2): 71-83.Lisek, J. & Sas-Paszt, L. Biodiversity of weed communities in organic and conventional orchards. Journal of

Horticultural Research, 2015, 23(1): 39-48.OSU: Patrignani, A. and Ochsner, T.E., 2015. Canopeo: A powerful new tool for measuring fractional green

canopy cover. Agronomy Journal, 107(6), pp.2312-2320.Stefanelli, D., Zoppolo, R.J., Perry, R.L, & Weibel, F. Organic Orchard Floor Management Systems for Apple

Effect on Rootstock Performance in the Midwestern United States. HortScience, 2009, 44(2): 263-267.Tasseva, V. Species composition of weed vegetation in different apple growing technologies. Notulae

Botanicae Horti Agrobotanici Cluj-Napoca, 2005, 33: 59-64.Ustuner, T. & M. Investigation on different mulch materials and chemical control for controlling weeds in

apple orchard in Turkey. Scientific Research and Essays, 2011, 6(19): 3979-3985.

Table 4: Fall 2017 soil analysis results.

After two years, mulch appears to enhance weed suppression, suppress weedbiodiversity, and promote tree growth and soil health. Mulch and herbicidesprays appear to be most effective in controlling weed growth. Another season’sanalysis will elucidate the effects of these organic weed management methods.

Weed biodiversity: Cultivation had the strongest positive effect on weed biodiversity.Mulch and Suppress herbicide had the strongest negative effects on weed biodiversity.Time had significant (p=0.002) effect on Shannon Diversity Index (SDI) across alltreatments.

Figs. 1a-1c: Average total relevé weed mass by treatment.

Figs. 2a-2c: Average relevé weed cover by treatment.

Figs. 3a-3c: Average relevé SDI by treatment.

Thirty weed taxa identified, 29 at species level; grasses treated as one taxon. Eleventaxa with highest total biomass ranked; 19 remaining taxa summed (Table 1).

Table 1. Top 11 weed taxa by biomass, summed across all months and treatments.

Species/TaxonRank by

total biomass

Grasses 1Taraxacum officinalis 2Plantago lanceolata 3Solidago canadensis 4Ranunculus bulbosus 5Cirsium arvense 6Cichorium intybus 7Plantago major 8Prunella vulgaris 9Linaria vulgaris 10Trifolium repens 11All others N/A

• Cultivation, mowing, and herbicide applications repeated in May, June,July, and August 2017, after weed samplings.

• ¼-m2 relevés under trees chosen randomly; no relevé sampled twice• Relevés assessed for weed cover using the Canopeo app• All above-crown weed foliage within relevés cut, sorted by species, and

dried for seven days at 70°C• Weeds sampled once monthly in the second weeks of May through August

(exact dates in Figs. 1-3)

Tree trunks measured 30 cm above graft union in Spring 2016, Fall 2016, andFall 2017.

Investigators: David Zakalik; Mike Brown; Gregory PeckSchool of Integrative Plant Science—Horticulture Section

Figure 4. TCSA over time, by Main treatment

Treatment,sub-treatment

% Change (Spring-

Fall 2016)

% Change (Fall 2016-Fall 2017)

Bare Soil 25.1 x 49.4 x

Untreated 22.0 B 36.2

Mowing 16.8 A 44.4

Suppress 34.6 C 55.0

Final San-O 33.0 C 56.9

Cultivation 27.9 x 43.1 x

Untreated 24.7 B 54.1

Mowing 19.3 A 40.4

Suppress 34.8 C 40.7

Final San-O 32.8 C 35.4

Mulch 37.0 y 57.3 y

Untreated 41.2 B 57.9

Mowing 25.8 A 57.6

Suppress 42.7 C 58.1

Final San-O 45.5 C 64.8

Main <0.001 <0.001

Split <0.001 0.532

Table 3. Change in TCSA, by treatment

Acknowledgements:

Toward Sustainability FoundationNYS Soil Health Initiative2016 and 2017 Cornell Orchard Interns

Biomass of individual weed taxa: 7 of top 11 taxa affected by main treatment, 6affected by sub-treatment, 2 affected by both main and sub-treatment. Main/subinteractions not significant.

Introduction

Procedure and Methods

Preliminary Results, 2016-2017

Conclusions/Further Study

Taraxacum

officinalis

biomass (g)

Trifolium

repens

biomass (g)

Biomass,

all other

species (g)

5.5 xy 1.0 y 1.8

5.7 0.9 3.5

2.3 0.6 1.8

6.0 1.0 0.7

8.0 1.4 1.2

7.6 y 0.2 x 2.9

5.7 0.1 4.9

6.7 0.1 2.0

6.2 0.1 2.6

11.6 0.3 2.1

3.0 x 0.5 xy 0.9

2.8 1.2 1.3

2.1 0.4 0.3

3.3 0.2 1.6

3.7 0.2 0.3

0.009 0.023 —

0.104 0.674 —

<0.001 0.022 —

Treatment,

sub-treatment

Cichorium

intybus

biomass (g)

Cirsium

arvense

biomass (g)

Grasses

biomass (g)

Linaria

vulgaris

biomass (g)

Plantago

lanceolata

biomass (g)

Plantago

major

biomass (g)

Prunella

vulgaris

biomass (g)

Ranunculus

bulbosus

biomass (g)

Solidago

canadensis

biomass (g)

Bare Soil 0.8 xy 3.1 7.5 y 0.2 x 8.1 y 0.7 1.3 y 1.7 5.7

Untreated 1.1 11.2 B 9.3 B 0.4 B 8.6 1.6 B 3.7 1.4 A 10.0 B

Mowing 0.3 0.5 AB 0.7 A 0.1 A 10.2 0.4 A 0.5 2.9 B 5.2 AB

Suppress 0.4 0.5 A 11.4 AB 0.0 A 8.1 0.3 A 0.3 0.0 A 1.3 A

Final San-O 1.6 0.0 A 8.6 AB 0.2 A 5.7 0.4 A 0.7 2.5 A 6.2 AB

Cultivation 2.5 y 1.2 6.3 xy 1.4 y 2.1 x 1.5 0.3 x 3.5 4.3

Untreated 3.1 1.4 B 10.2 B 3.9 B 1.3 5.1 B 0.0 2.1 A 9.9 B

Mowing 0.6 1.8 AB 5.4 A 0.5 A 1.5 0.6 A 0.0 7.3 B 4.9 AB

Suppress 5.3 1.0 A 6.3 AB 1.0 A 4.7 0.2 A 0.1 1.1 A 0.6 A

Final San-O 1.0 0.5 A 3.2 AB 0.3 A 1.0 0.0 A 1.1 3.6 A 1.8 AB

Mulch 0.4 x 0.6 2.5 x 0.2 x 3.7 x 1.3 0.3 x 3.5 3.8

Untreated 1.3 0.5 B 4.7 B 0.4 B 11.6 3.4 B 0.0 0.7 A 5.8 B

Mowing 0.3 1.0 AB 0.7 A 0.1 A 1.9 1.3 A 0.4 10.8 B 4.7 AB

Suppress 0.0 0.5 A 2.7 AB 0.1 A 0.8 0.1 A 0.1 0.4 A 1.3 A

Final San-O 0.2 0.5 A 1.8 AB 0.1 A 0.5 0.4 A 0.6 2.3 A 3.4 AB

Main 0.027 0.099 0.006 <0.001 <0.001 0.529 0.016 0.122 0.643

Split 0.319 0.012 0.011 0.001 0.055 <0.001 0.093 <0.001 0.018

Month 0.292 0.777 0.006 0.368 0.953 0.014 0.036 0.309 0.799