TY - JOUR
T1 - Relationship between soybean yield from high and low yielding field sites and selected soil characteristics
AU - Bandara, Ananda Y.
AU - Weerasooriya, Dilooshi K.
AU - Murillo-Williams, Adriana
AU - White, Charles M.
AU - Collins, Alyssa A.
AU - Bell, Terrence H.
AU - Esker, Paul D.
N1 - Funding Information:
Support for this project was from the Pennsylvania Soybean Board. This project was also supported by the USDA National Institute of Food and Federal Appropriations under Project PEN04660 and Accession no. 1016474. We thank our farmer cooperators and the following extension educators (The Pennsylvania State University) who contributed to site identification and sample collection from the Pennsylvania Soybean On‐Farm Network: Andrew Frankenfield, Anna Busch, Claire Coombs, Del Voight, Elizabeth Bosak, Jeff Graybrill, Justin Brackenrich, Nicole Santangelo, and Zach Larson. We also thank Brandon Wilt, Chris Miller, Leticia Rovelo, and Elli Tatsumi for their assistance with fungal colony count enumerations.
Funding Information:
informationPennsylvania Soybean Board and USDA National Institute of Food and Federal Appropriations under Project PEN04660 and Accession no. 1016474.Support for this project was from the Pennsylvania Soybean Board. This project was also supported by the USDA National Institute of Food and Federal Appropriations under Project PEN04660 and Accession no. 1016474. We thank our farmer cooperators and the following extension educators (The Pennsylvania State University) who contributed to site identification and sample collection from the Pennsylvania Soybean On-Farm Network: Andrew Frankenfield, Anna Busch, Claire Coombs, Del Voight, Elizabeth Bosak, Jeff Graybrill, Justin Brackenrich, Nicole Santangelo, and Zach Larson. We also thank Brandon Wilt, Chris Miller, Leticia Rovelo, and Elli Tatsumi for their assistance with fungal colony count enumerations.
Publisher Copyright:
© 2020 The Authors. Agrosystems, Geosciences & Environment published by Wiley Periodicals LLC on behalf of Crop Science Society of America and American Society of Agronomy.
PY - 2020
Y1 - 2020
N2 - The sporadically occurring high and low yielding field sites is a commonly observed manifestation of the within-farm spatial heterogeneity of soybean [Glycine max (L.) Merr.] yield in Pennsylvania. Understanding the causes behind this phenomenon is important for implementing site-specific management practices, leading to greater attainable yields at farm scale. To explore the problem, bulk soil samples were systematically collected in 2018 from farmer-designated high and low yielding sites at V1 (early season) and R8 (late season) soybean growth stages from 14 farms in Pennsylvania. Soil organic matter; cation exchange capacity; pH; P, K, Mg, Ca, S, Zn, and Cu; soil texture; site slope; number of putatively pathogenic fungal colonies (Fusarium, Pythium, and Phytophthora species and Rhizoctonia solani); and plant pathogenic nematodes were assayed. No measured variables differed significantly between two site types at V1 or R8. Principal component analysis did not distinctly cluster high and low sites based on the variables included in the analysis. Hierarchical clustering on principal components showed situations where sites from different farms are more similar than sites from the same farm. Correlation analysis performed for variables collected with high sites showed that yield is significantly and positively correlated with V1-spiral nematode count, R8-R. solani colony count, and soil K content at V1 and R8. For low sites, yield was significantly and positively correlated with V1-spiral nematode count and soil P/Zn content at R8. Taken together, our findings indicate that the causes behind within-farm spatial heterogeneity of soybean yields are complex and beyond the variables investigated in this study.
AB - The sporadically occurring high and low yielding field sites is a commonly observed manifestation of the within-farm spatial heterogeneity of soybean [Glycine max (L.) Merr.] yield in Pennsylvania. Understanding the causes behind this phenomenon is important for implementing site-specific management practices, leading to greater attainable yields at farm scale. To explore the problem, bulk soil samples were systematically collected in 2018 from farmer-designated high and low yielding sites at V1 (early season) and R8 (late season) soybean growth stages from 14 farms in Pennsylvania. Soil organic matter; cation exchange capacity; pH; P, K, Mg, Ca, S, Zn, and Cu; soil texture; site slope; number of putatively pathogenic fungal colonies (Fusarium, Pythium, and Phytophthora species and Rhizoctonia solani); and plant pathogenic nematodes were assayed. No measured variables differed significantly between two site types at V1 or R8. Principal component analysis did not distinctly cluster high and low sites based on the variables included in the analysis. Hierarchical clustering on principal components showed situations where sites from different farms are more similar than sites from the same farm. Correlation analysis performed for variables collected with high sites showed that yield is significantly and positively correlated with V1-spiral nematode count, R8-R. solani colony count, and soil K content at V1 and R8. For low sites, yield was significantly and positively correlated with V1-spiral nematode count and soil P/Zn content at R8. Taken together, our findings indicate that the causes behind within-farm spatial heterogeneity of soybean yields are complex and beyond the variables investigated in this study.
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U2 - 10.1002/agg2.20126
DO - 10.1002/agg2.20126
M3 - Article
AN - SCOPUS:85118216024
SN - 2639-6696
VL - 3
JO - Agrosystems, Geosciences and Environment
JF - Agrosystems, Geosciences and Environment
IS - 1
M1 - e20126
ER -