Meta-analytic and economic approaches for evaluation of pesticide impact on sclerotinia stem rot control and soybean yield in the North central United States

Jaime F. Willbur, Paul D. Mitchell, Mamadou L. Fall, Adam M. Byrne, Scott A. Chapman, Crystal M. Floyd, Carl A. Bradley, K. A. Ames, Martin I. Chilvers, Nathan M. Kleczewski, Dean K. Malvick, Brian D. Mueller, Daren S. Mueller, Mehdi Kabbage, Shawn P. Conley, Damon L. Smith

Research output: Contribution to journalArticle

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-R2 = 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_1 or _10 bu acre_1) 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.

Original languageEnglish (US)
Pages (from-to)1157-1170
Number of pages14
JournalPhytopathology
Volume109
Issue number7
DOIs
StatePublished - Jan 1 2019
Externally publishedYes

Fingerprint

Sclerotinia
stem rot
Midwestern United States
pesticides
soybeans
disease severity
economics
boscalid
Sclerotinia sclerotiorum
application timing
logit analysis
chemical control
active ingredients
pesticide application
disease control
farmers
cultivars

Keywords

  • Baseline sensitivity
  • Brown rot
  • Fungicide
  • Genetic diversity
  • Monilia mumecola

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Plant Science

Cite this

Meta-analytic and economic approaches for evaluation of pesticide impact on sclerotinia stem rot control and soybean yield in the North central United States. / Willbur, Jaime F.; Mitchell, Paul D.; Fall, Mamadou L.; Byrne, Adam M.; Chapman, Scott A.; Floyd, Crystal M.; Bradley, Carl A.; Ames, K. A.; Chilvers, Martin I.; Kleczewski, Nathan M.; Malvick, Dean K.; Mueller, Brian D.; Mueller, Daren S.; Kabbage, Mehdi; Conley, Shawn P.; Smith, Damon L.

In: Phytopathology, Vol. 109, No. 7, 01.01.2019, p. 1157-1170.

Research output: Contribution to journalArticle

Willbur, JF, Mitchell, PD, Fall, ML, Byrne, AM, Chapman, SA, Floyd, CM, Bradley, CA, Ames, KA, Chilvers, MI, Kleczewski, NM, Malvick, DK, Mueller, BD, Mueller, DS, Kabbage, M, Conley, SP & Smith, DL 2019, 'Meta-analytic and economic approaches for evaluation of pesticide impact on sclerotinia stem rot control and soybean yield in the North central United States', Phytopathology, vol. 109, no. 7, pp. 1157-1170. https://doi.org/10.1094/PHYTO-04-18-0124-R
Willbur, Jaime F. ; Mitchell, Paul D. ; Fall, Mamadou L. ; Byrne, Adam M. ; Chapman, Scott A. ; Floyd, Crystal M. ; Bradley, Carl A. ; Ames, K. A. ; Chilvers, Martin I. ; Kleczewski, Nathan M. ; Malvick, Dean K. ; Mueller, Brian D. ; Mueller, Daren S. ; Kabbage, Mehdi ; Conley, Shawn P. ; Smith, Damon L. / Meta-analytic and economic approaches for evaluation of pesticide impact on sclerotinia stem rot control and soybean yield in the North central United States. In: Phytopathology. 2019 ; Vol. 109, No. 7. pp. 1157-1170.
@article{776c72a65e94480089551f37c1dcc18b,
title = "Meta-analytic and economic approaches for evaluation of pesticide impact on sclerotinia stem rot control and soybean yield in the North central United States",
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-R2 = 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_1 or _10 bu acre_1) 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.",
keywords = "Baseline sensitivity, Brown rot, Fungicide, Genetic diversity, Monilia mumecola",
author = "Willbur, {Jaime F.} and Mitchell, {Paul D.} and Fall, {Mamadou L.} and Byrne, {Adam M.} and Chapman, {Scott A.} and Floyd, {Crystal M.} and Bradley, {Carl A.} and Ames, {K. A.} and Chilvers, {Martin I.} and Kleczewski, {Nathan M.} and Malvick, {Dean K.} and Mueller, {Brian D.} and Mueller, {Daren S.} and Mehdi Kabbage and Conley, {Shawn P.} and Smith, {Damon L.}",
year = "2019",
month = "1",
day = "1",
doi = "10.1094/PHYTO-04-18-0124-R",
language = "English (US)",
volume = "109",
pages = "1157--1170",
journal = "Phytopathology",
issn = "0031-949X",
publisher = "American Phytopathological Society",
number = "7",

}

TY - JOUR

T1 - Meta-analytic and economic approaches for evaluation of pesticide impact on sclerotinia stem rot control and soybean yield in the North central United States

AU - Willbur, Jaime F.

AU - Mitchell, Paul D.

AU - Fall, Mamadou L.

AU - Byrne, Adam M.

AU - Chapman, Scott A.

AU - Floyd, Crystal M.

AU - Bradley, Carl A.

AU - Ames, K. A.

AU - Chilvers, Martin I.

AU - Kleczewski, Nathan M.

AU - Malvick, Dean K.

AU - Mueller, Brian D.

AU - Mueller, Daren S.

AU - Kabbage, Mehdi

AU - Conley, Shawn P.

AU - Smith, Damon L.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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-R2 = 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_1 or _10 bu acre_1) 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.

AB - 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-R2 = 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_1 or _10 bu acre_1) 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.

KW - Baseline sensitivity

KW - Brown rot

KW - Fungicide

KW - Genetic diversity

KW - Monilia mumecola

UR - http://www.scopus.com/inward/record.url?scp=85069264937&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85069264937&partnerID=8YFLogxK

U2 - 10.1094/PHYTO-04-18-0124-R

DO - 10.1094/PHYTO-04-18-0124-R

M3 - Article

C2 - 30860431

AN - SCOPUS:85069264937

VL - 109

SP - 1157

EP - 1170

JO - Phytopathology

JF - Phytopathology

SN - 0031-949X

IS - 7

ER -