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Organic cover crop weed suppression: diversity vs. functional traits

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Presentation on theme: "Organic cover crop weed suppression: diversity vs. functional traits"— Presentation transcript:

1 Organic cover crop weed suppression: diversity vs. functional traits
Mitch Hunter1, Meagan Schipanski1,2, Dave Mortensen1,2,3 1Department of Plant Science, 2Department of Ecosystem Science and Management, 3Ecology Intercollege Graduate Degree Program The Pennsylvania State University HYPOTHESIS Cover crop species diversity and functional diversity enhance weed suppression in an organic grain rotation Methods ORGANIC FIELD EXPERIMENT 3 entries, 4 blocks, ~12 ha Cover Crop Species Diversity Does Not Drive Weed Suppression Functional Traits Dominate: Fall Vigor is Key Early fall ground cover explains 49.8% of the variation in spring weed biomass (R2 = 0.498, p < ) Block 1 Block 2 Block 3 Block 4 Google Maps Species diversity explains only 12.0% of the variation in spring weed biomass (R2 = 0.120, p = ) Mac Burgess CORN-SOY-WHEAT ROTATION Sampled after-wheat cover crops Fall Canola Corn Silage Cover Crops Soybean Winter Wheat Spring Weed Biomass (Kg/ha) Spring Weed Biomass (Kg/ha) Mac Burgess Fall Clover COVER CROP COCKTAILS 1-7 species per treatment Planted 8/25-26, 2012 # Species 1 1 1 1 1 1 3 3 4 6 7 Early Fall Percent Cover (39-44 days after planting) Canola Clover Oat Radish Pea Rye 3SppN 4Spp 6Spp Xmix Mac Burgess 3SppW Path Model: Spring Growth Matters Fall suppression is a stronger effect, but spring cover crop growth dynamics do impact spring weediness Winter-Killed Cover Crops Can Control Spring Weeds Oat and radish effectively suppress fall germination of winter annuals, reducing spring weed pressure Mac Burgess KEY MEASURES % light Interception: LICOR quantum sensors above and below canopy % cover: visual estimates in field and from photographs Weed biomass: destructive sample of sub-plots Path coefficients denote direct effects of one variable on another Fall and spring latent variables are indicated by each season’s first % interception and % cover readings Fall Weed Suppression Fall Radish -0.498 0.363 Spring Weed Biomass (Kg/ha) Mac Burgess STATISTICAL METHODS Standard least squares regression in JMP 10 Weed biomass sqrt transformed Block as random effect PLS Path Modeling in R package “plspm” Spring Radish R2 = 0.387 GoF = 0.490 Spring Weed Suppression Spring Weediness Winter-Hardy Cover Crops Winter-Killed Cover Crops -0.236 Mitch Hunter ACKNOWLEDGEMENTS We thank Sadie Smith and Katy Barlow for their help. Funding was provided by the National Institute of Food and Agriculture (NIFA) Organic Research and Extension Initiative (OREI). This material is based upon work supported by the National Science Foundation under Grant No. DGE Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. TREATMENTS Monocultures: canola (Brassica napus), red clover (Trifolium pratense), oat (Avena sativa), Austrian winter pea (Pisum sativum), forage radish (Raphanus sativus), cereal rye (Secale cereale) 3 Species Nitrogen: red clover, Austrian winter pea, cereal rye 3 Species Weeds: red clover, oat, cereal rye 4 Species: canola, red clover, Austrian winter pea, cereal rye Xmix (7 species): King’s Agri-Seeds Broadcaster Mix, oat, sunflower (Helianthus annus) 6 Species: all monoculture species


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