Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States I: Foliar fungicides vs foliar diseases
Fungicide use in the United States to manage soybean diseases has increased in recent years. The ability of fungicides to reduce disease-associated yield losses varies greatly depending on multiple factors. Nonetheless, historical data are useful to understand the broad sense and long-term trends re...
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description | Fungicide use in the United States to manage soybean diseases has increased in recent years. The ability of fungicides to reduce disease-associated yield losses varies greatly depending on multiple factors. Nonetheless, historical data are useful to understand the broad sense and long-term trends related to fungicide use practices. In the current study, the relationship between estimated soybean yield losses due to selected foliar diseases and foliar fungicide use was investigated using annual data from 28 soybean growing states over the period of 2005 to 2015. For national and regional (southern and northern United States) scale data, mixed effects modeling was performed considering fungicide use as a fixed and state and year as random factors to generate generalized R2 values for marginal (R2GLMM(m); contains only fixed effects) and conditional (R2GLMM(c); contains fixed and random effects) models. Similar analyses were performed considering soybean production data to see how fungicide use affected production. Analyses at both national and regional scales showed that R2GLMM(m) values were significantly smaller compared to R2GLMM(c) values. The large difference between R2 values for conditional and marginal models indicated that the variation of yield loss as well as production were predominantly explained by the state and year rather than the fungicide use, revealing the general lack of fit between fungicide use and yield loss/production at national and regional scales. Therefore, regression models were fitted across states and years to examine their importance in combination with fungicide use on yield loss or yield. In the majority of cases, the relationship was nonsignificant. However, the relationship between soybean yield and fungicide use was significant and positive for majority of the years in the study. Results suggest that foliar fungicides conferred yield benefits in most of the years in the study. Furthermore, the year-dependent usefulness of foliar fungicides in mitigating soybean yield losses suggested the possible influence of temporally fluctuating abiotic factors on the effectiveness of foliar fungicides and/or target disease occurrence and associated loss magnitudes. |
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The ability of fungicides to reduce disease-associated yield losses varies greatly depending on multiple factors. Nonetheless, historical data are useful to understand the broad sense and long-term trends related to fungicide use practices. In the current study, the relationship between estimated soybean yield losses due to selected foliar diseases and foliar fungicide use was investigated using annual data from 28 soybean growing states over the period of 2005 to 2015. For national and regional (southern and northern United States) scale data, mixed effects modeling was performed considering fungicide use as a fixed and state and year as random factors to generate generalized R2 values for marginal (R2GLMM(m); contains only fixed effects) and conditional (R2GLMM(c); contains fixed and random effects) models. Similar analyses were performed considering soybean production data to see how fungicide use affected production. Analyses at both national and regional scales showed that R2GLMM(m) values were significantly smaller compared to R2GLMM(c) values. The large difference between R2 values for conditional and marginal models indicated that the variation of yield loss as well as production were predominantly explained by the state and year rather than the fungicide use, revealing the general lack of fit between fungicide use and yield loss/production at national and regional scales. Therefore, regression models were fitted across states and years to examine their importance in combination with fungicide use on yield loss or yield. In the majority of cases, the relationship was nonsignificant. However, the relationship between soybean yield and fungicide use was significant and positive for majority of the years in the study. Results suggest that foliar fungicides conferred yield benefits in most of the years in the study. Furthermore, the year-dependent usefulness of foliar fungicides in mitigating soybean yield losses suggested the possible influence of temporally fluctuating abiotic factors on the effectiveness of foliar fungicides and/or target disease occurrence and associated loss magnitudes.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0234390</identifier><identifier>PMID: 32525917</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abiotic factors ; Agricultural commodities ; Agricultural production ; Biology and Life Sciences ; Crop yield ; Crop yields ; Crops, Agricultural - drug effects ; Crops, Agricultural - growth & development ; Crops, Agricultural - microbiology ; Disease ; Diseases and pests ; Foliar diseases ; Forecasts and trends ; Fungi - drug effects ; Fungi - pathogenicity ; Fungicides ; Fungicides, Industrial - administration & dosage ; Fungicides, Industrial - pharmacology ; Fungicides, Industrial - supply & distribution ; Glycine max - drug effects ; Glycine max - growth & development ; Glycine max - microbiology ; Growth ; Historical account ; Medicine and Health Sciences ; Modelling ; Models, Biological ; People and places ; Pesticides ; Plant Diseases - microbiology ; Plant Diseases - prevention & control ; Plant Leaves - drug effects ; Plant pathology ; Regional analysis ; Regression analysis ; Regression models ; Respiration ; Soybeans ; Spatio-Temporal Analysis ; Trends ; United States</subject><ispartof>PloS one, 2020-06, Vol.15 (6), p.e0234390</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Bandara et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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The ability of fungicides to reduce disease-associated yield losses varies greatly depending on multiple factors. Nonetheless, historical data are useful to understand the broad sense and long-term trends related to fungicide use practices. In the current study, the relationship between estimated soybean yield losses due to selected foliar diseases and foliar fungicide use was investigated using annual data from 28 soybean growing states over the period of 2005 to 2015. For national and regional (southern and northern United States) scale data, mixed effects modeling was performed considering fungicide use as a fixed and state and year as random factors to generate generalized R2 values for marginal (R2GLMM(m); contains only fixed effects) and conditional (R2GLMM(c); contains fixed and random effects) models. Similar analyses were performed considering soybean production data to see how fungicide use affected production. Analyses at both national and regional scales showed that R2GLMM(m) values were significantly smaller compared to R2GLMM(c) values. The large difference between R2 values for conditional and marginal models indicated that the variation of yield loss as well as production were predominantly explained by the state and year rather than the fungicide use, revealing the general lack of fit between fungicide use and yield loss/production at national and regional scales. Therefore, regression models were fitted across states and years to examine their importance in combination with fungicide use on yield loss or yield. In the majority of cases, the relationship was nonsignificant. However, the relationship between soybean yield and fungicide use was significant and positive for majority of the years in the study. Results suggest that foliar fungicides conferred yield benefits in most of the years in the study. Furthermore, the year-dependent usefulness of foliar fungicides in mitigating soybean yield losses suggested the possible influence of temporally fluctuating abiotic factors on the effectiveness of foliar fungicides and/or target disease occurrence and associated loss magnitudes.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32525917</pmid><doi>10.1371/journal.pone.0234390</doi><tpages>e0234390</tpages><orcidid>https://orcid.org/0000-0002-7753-3476</orcidid><orcidid>https://orcid.org/0000-0002-8334-0750</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS); EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Abiotic factors Agricultural commodities Agricultural production Biology and Life Sciences Crop yield Crop yields Crops, Agricultural - drug effects Crops, Agricultural - growth & development Crops, Agricultural - microbiology Disease Diseases and pests Foliar diseases Forecasts and trends Fungi - drug effects Fungi - pathogenicity Fungicides Fungicides, Industrial - administration & dosage Fungicides, Industrial - pharmacology Fungicides, Industrial - supply & distribution Glycine max - drug effects Glycine max - growth & development Glycine max - microbiology Growth Historical account Medicine and Health Sciences Modelling Models, Biological People and places Pesticides Plant Diseases - microbiology Plant Diseases - prevention & control Plant Leaves - drug effects Plant pathology Regional analysis Regression analysis Regression models Respiration Soybeans Spatio-Temporal Analysis Trends United States |
title | Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States I: Foliar fungicides vs foliar diseases |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T17%3A47%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Modeling%20the%20relationship%20between%20estimated%20fungicide%20use%20and%20disease-associated%20yield%20losses%20of%20soybean%20in%20the%20United%20States%20I:%20Foliar%20fungicides%20vs%20foliar%20diseases&rft.jtitle=PloS%20one&rft.au=Bandara,%20Ananda%20Y&rft.date=2020-06-11&rft.volume=15&rft.issue=6&rft.spage=e0234390&rft.pages=e0234390-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0234390&rft_dat=%3Cgale_plos_%3EA626371006%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2412204459&rft_id=info:pmid/32525917&rft_galeid=A626371006&rft_doaj_id=oai_doaj_org_article_b51750f8acb64a73b2f16e61ed60c93f&rfr_iscdi=true |