Literature DB >> 33370391

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.

Ananda Y Bandara1, Dilooshi K Weerasooriya1, Shawn P Conley2, Tom W Allen3, Paul D Esker1.   

Abstract

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 R2 values for conditional (R2GLMM(c); contains fixed and random effects) and marginal (R2GLMM(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 R2GLMM(c) values were significantly larger compared to R2GLMM(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.

Entities:  

Year:  2020        PMID: 33370391      PMCID: PMC7769478          DOI: 10.1371/journal.pone.0244424

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  14 in total

1.  Phytophthora sojae: root rot pathogen of soybean and model oomycete.

Authors:  Brett M Tyler
Journal:  Mol Plant Pathol       Date:  2007-01       Impact factor: 5.663

2.  Estimates of disease effects on soybean yields in the United States 2003 to 2005.

Authors:  J Allen Wrather; Steve R Koenning
Journal:  J Nematol       Date:  2006-06       Impact factor: 1.402

Review 3.  Seed pathology progress in academia and industry.

Authors:  Gary P Munkvold
Journal:  Annu Rev Phytopathol       Date:  2009       Impact factor: 13.078

4.  Fungicide Seed Treatment Effects on Seedling Damping-off of Pumpkin Caused by Phytophthora capsici.

Authors:  M Babadoost; S Z Islam
Journal:  Plant Dis       Date:  2003-01       Impact factor: 4.438

5.  Beneficial Effects of Fungicide Seed Treatments for Soybean Cultivars with Partial Resistance to Phytophthora sojae.

Authors:  A E Dorrance; S A McClure
Journal:  Plant Dis       Date:  2001-10       Impact factor: 4.438

6.  Effect of Fungicide Seed Treatments on Stand Establishment, Seedling Disease, and Yield of Soybean in North Dakota.

Authors:  C A Bradley
Journal:  Plant Dis       Date:  2008-01       Impact factor: 4.438

7.  Characterization of Pythium spp. Associated with Corn and Soybean Seed and Seedling Disease in Ohio.

Authors:  K D Broders; P E Lipps; P A Paul; A E Dorrance
Journal:  Plant Dis       Date:  2007-06       Impact factor: 4.438

8.  Pathotype Diversity of Phytophthora sojae in Eleven States in the United States.

Authors:  A E Dorrance; J Kurle; A E Robertson; C A Bradley; L Giesler; K Wise; V C Concibido
Journal:  Plant Dis       Date:  2016-04-04       Impact factor: 4.438

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

Authors:  Ananda Y Bandara; Dilooshi K Weerasooriya; Shawn P Conley; Carl A Bradley; Tom W Allen; Paul D Esker
Journal:  PLoS One       Date:  2020-06-11       Impact factor: 3.240

10.  Dissecting the economic impact of soybean diseases in the United States over two decades.

Authors:  Ananda Y Bandara; Dilooshi K Weerasooriya; Carl A Bradley; Tom W Allen; Paul D Esker
Journal:  PLoS One       Date:  2020-04-02       Impact factor: 3.240

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