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 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.

Document Type

Article

Publication Date

6-11-2020

Notes/Citation Information

Published in PLOS ONE, v. 15, no. 6, 0234390, p. 1-21.

© 2020 Bandara et al.

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Digital Object Identifier (DOI)

https://doi.org/10.1371/journal.pone.0234390

Funding Information

Yield loss data originated from the parent project that began in 2009 with funding from the United Soybean Board under code 1420-532-5637, awarded to J. Allen Wrather and Steve Koennig. From 2012 to 2016, further funding under the original parent project was received primarily by Carl Bradely, with Paul Esker and Tom Allen also members of the project under codes: 2215 (2012), 1420-532-5637 (2014), 1520-532-5637 (2015), and 1620-532-5637 (2016). This project was also supported by the USDA National Institute of Food and Federal Appropriations under Project PEN04660 and Accession number 1016474.

Related Content

The fungicide data can be obtained directly from the Pesticide National Synthesis Project website: https://water.usgs.gov/nawqa/pnsp/usage/maps/index.php. Summarized yield loss data is available on our GitHub repository at: https://github.com/PSUPlantEpidemiology/FungicideLossData/tree/v1.

pone.0234390.s001.docx (17 kB)
S1 Table. Mixed-effects modelling of the effect of foliar fungicide use on soybean yield losses due to foliar diseases from soybean growing states in the northern region of the United States during 2005–2015 period. https://doi.org/10.1371/journal.pone.0234390.s001

pone.0234390.s002.docx (17 kB)
S2 Table. Mixed-effects modelling of the effect of foliar fungicide use on soybean yield losses due to foliar diseases from soybean growing states in the southern region of the United States during 2005–2015 period. https://doi.org/10.1371/journal.pone.0234390.s002

pone.0234390.s003.xlsx (20 kB)
S3 Table. Parameter estimates/coefficients from the joint regression analysis conducted to test the significance of the relationship between fungicide use and soybean production/yield losses due to diseases for individual state and year. https://doi.org/10.1371/journal.pone.0234390.s003

pone.0234390.s004.docx (17 kB)
S4 Table. Mixed-effects modelling of the effect of foliar fungicide use on soybean production/ yield from soybean growing states in the northern region of the United States during 2005–2015 period. https://doi.org/10.1371/journal.pone.0234390.s004

pone.0234390.s005.docx (17 kB)
S5 Table. Mixed-effects modelling of the effect of foliar fungicide use on soybean production/ yield from soybean growing states in the southern region of the United States during 2005–2015 period. https://doi.org/10.1371/journal.pone.0234390.s005

pone.0234390.s006.xlsx (19 kB)
S6 Table. Parameter estimates/coefficients from the joint regression analysis conducted to test the significance of the relationship between fungicide use and soybean production/yield for individual state and year. https://doi.org/10.1371/journal.pone.0234390.s006

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