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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Veröffentlicht in:PloS one 2020-06, Vol.15 (6), p.e0234390
Hauptverfasser: Bandara, Ananda Y, Weerasooriya, Dilooshi K, Conley, Shawn P, Bradley, Carl A, Allen, Tom W, Esker, Paul D
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Weerasooriya, Dilooshi K
Conley, Shawn P
Bradley, Carl A
Allen, Tom W
Esker, Paul D
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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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
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