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Meta-Analytic and Economic Approaches for Evaluation of Pesticide Impact on Sclerotinia Stem Rot Control and Soybean Yield in the North Central United States.
- Source :
-
Phytopathology [Phytopathology] 2019 Jul; Vol. 109 (7), pp. 1157-1170. Date of Electronic Publication: 2019 Jun 10. - Publication Year :
- 2019
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Abstract
- As complete host resistance in soybean has not been achieved, Sclerotinia stem rot (SSR) caused by Sclerotinia sclerotiorum continues to be of major economic concern for farmers. Thus, chemical control remains a prevalent disease management strategy. Pesticide evaluations were conducted in Illinois, Iowa, Michigan, Minnesota, New Jersey, and Wisconsin from 2009 to 2016, for a total of 25 site-years ( n = 2,057 plot-level data points). These studies were used in network meta-analyses to evaluate the impact of 10 popular pesticide active ingredients, and seven common application timings on SSR control and yield benefit, compared with not treating with a pesticide. Boscalid and picoxystrobin frequently offered the best reductions in disease severity and best yield benefit ( P < 0.0001). Pesticide applications (one- or two-spray programs) made during the bloom period provided significant reductions in disease severity index (DIX) ( P < 0.0001) and led to significant yield benefits ( P = 0.0009). Data from these studies were also used in nonlinear regression analyses to determine the effect of DIX on soybean yield. A three-parameter logistic model was found to best describe soybean yield loss (pseudo- R <superscript>2</superscript> = 0.309). In modern soybean cultivars, yield loss due to SSR does not occur until 20 to 25% DIX, and considerable yield loss (-697 kg ha <superscript>-1</superscript> or -10 bu acre <superscript>-1</superscript> ) is observed at 68% DIX. Further analyses identified several pesticides and programs that resulted in greater than 60% probability for return on investment under high disease levels.
Details
- Language :
- English
- ISSN :
- 0031-949X
- Volume :
- 109
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Phytopathology
- Publication Type :
- Academic Journal
- Accession number :
- 30860431
- Full Text :
- https://doi.org/10.1094/PHYTO-04-18-0124-R