Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States I: Foliar fungicides vs foliar diseases

PloS One
Ananda Y BandaraPaul D Esker

Abstract

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 th...Continue Reading

References

Jul 31, 2002·Pest Management Science·Dave W BartlettBob Parr-Dobrzanski
Aug 5, 2005·Annual Review of Phytopathology·Richard N Strange, Peter R Scott
Oct 1, 2015·Plant Disease·J R StandishN Aboughanem-Sabanadzovic
Nov 1, 2015·Plant Disease·Paul P PriceSebastian Albu
Jul 1, 2010·Plant Disease·Christian D CruzAnne E Dorrance

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Software Mentioned

R
arm
FactoMineR
FAMD
factoextra
SAS
lme4
MuMIn
GLMM

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