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Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States II: Seed-applied fungicides vs seedling diseases

Use of seed-applied fungicides has become commonplace in the United States soybean production systems. Although fungicides have the potential to protect seed/seedlings from critical early stage diseases such as damping-off and root/stem rots, results from previous studies are not consistent in terms...

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Autores principales: Bandara, Ananda Y., Weerasooriya, Dilooshi K., Conley, Shawn P., Allen, Tom W., Esker, Paul D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769478/
https://www.ncbi.nlm.nih.gov/pubmed/33370391
http://dx.doi.org/10.1371/journal.pone.0244424
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author Bandara, Ananda Y.
Weerasooriya, Dilooshi K.
Conley, Shawn P.
Allen, Tom W.
Esker, Paul D.
author_facet Bandara, Ananda Y.
Weerasooriya, Dilooshi K.
Conley, Shawn P.
Allen, Tom W.
Esker, Paul D.
author_sort Bandara, Ananda Y.
collection PubMed
description Use of seed-applied fungicides has become commonplace in the United States soybean production systems. Although fungicides have the potential to protect seed/seedlings from critical early stage diseases such as damping-off and root/stem rots, results from previous studies are not consistent in terms of seed-applied fungicide’s ability to mitigate yield losses. In the current study, the relationship between estimated soybean production losses due to seedling diseases and estimated seed-applied fungicide use was investigated using annual data from 28 soybean growing states in the U.S. over the period of 2006 to 2014. National, regional (northern and southern U.S.), state, and temporal scale trends were explored using mixed effects version of the regression analysis. Mixed modeling allowed computing generalized R(2) values for conditional (R(2)(GLMM(c)); contains fixed and random effects) and marginal (R(2)(GLMM(m)); contains only fixed effects) models. Similar analyses were conducted to investigate how soybean production was related to fungicide use. National and regional scale modeling revealed that R(2)(GLMM(c)) values were significantly larger compared to R(2)(GLMM(m)) values, meaning fungicide use had limited utility in explaining the national/regional scale variation of yield loss and production. The state scale analysis revealed the usefulness of seed-applied fungicides to mitigate seedling diseases-associated soybean yield losses in Illinois, Indiana, North Carolina, and Ohio. Further, fungicide use positively influenced the soybean production and yield in Illinois and South Dakota. Taken together, use of seed-applied fungicide did not appear to be beneficial to many of the states. Our findings corroborate the observations made by a number of scientists through field scale seed-applied fungicide trials across the U.S and reiterate the importance of need base-use of seed-applied fungicides rather than being a routine practice in soybean production systems.
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spelling pubmed-77694782021-01-08 Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States II: Seed-applied fungicides vs seedling diseases Bandara, Ananda Y. Weerasooriya, Dilooshi K. Conley, Shawn P. Allen, Tom W. Esker, Paul D. PLoS One Research Article Use of seed-applied fungicides has become commonplace in the United States soybean production systems. Although fungicides have the potential to protect seed/seedlings from critical early stage diseases such as damping-off and root/stem rots, results from previous studies are not consistent in terms of seed-applied fungicide’s ability to mitigate yield losses. In the current study, the relationship between estimated soybean production losses due to seedling diseases and estimated seed-applied fungicide use was investigated using annual data from 28 soybean growing states in the U.S. over the period of 2006 to 2014. National, regional (northern and southern U.S.), state, and temporal scale trends were explored using mixed effects version of the regression analysis. Mixed modeling allowed computing generalized R(2) values for conditional (R(2)(GLMM(c)); contains fixed and random effects) and marginal (R(2)(GLMM(m)); contains only fixed effects) models. Similar analyses were conducted to investigate how soybean production was related to fungicide use. National and regional scale modeling revealed that R(2)(GLMM(c)) values were significantly larger compared to R(2)(GLMM(m)) values, meaning fungicide use had limited utility in explaining the national/regional scale variation of yield loss and production. The state scale analysis revealed the usefulness of seed-applied fungicides to mitigate seedling diseases-associated soybean yield losses in Illinois, Indiana, North Carolina, and Ohio. Further, fungicide use positively influenced the soybean production and yield in Illinois and South Dakota. Taken together, use of seed-applied fungicide did not appear to be beneficial to many of the states. Our findings corroborate the observations made by a number of scientists through field scale seed-applied fungicide trials across the U.S and reiterate the importance of need base-use of seed-applied fungicides rather than being a routine practice in soybean production systems. Public Library of Science 2020-12-28 /pmc/articles/PMC7769478/ /pubmed/33370391 http://dx.doi.org/10.1371/journal.pone.0244424 Text en © 2020 Bandara et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bandara, Ananda Y.
Weerasooriya, Dilooshi K.
Conley, Shawn P.
Allen, Tom W.
Esker, Paul D.
Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States II: Seed-applied fungicides vs seedling diseases
title Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States II: Seed-applied fungicides vs seedling diseases
title_full Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States II: Seed-applied fungicides vs seedling diseases
title_fullStr Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States II: Seed-applied fungicides vs seedling diseases
title_full_unstemmed Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States II: Seed-applied fungicides vs seedling diseases
title_short Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States II: Seed-applied fungicides vs seedling diseases
title_sort modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the united states ii: seed-applied fungicides vs seedling diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769478/
https://www.ncbi.nlm.nih.gov/pubmed/33370391
http://dx.doi.org/10.1371/journal.pone.0244424
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