TY - JOUR
T1 - Relationship between Sudden Death Syndrome caused by Fusarium virguliforme and Soybean Yield
T2 - A Meta-Analysis
AU - Kandel, Yuba R.
AU - Bradley, Carl A.
AU - Chilvers, Martin I.
AU - Mathew, Febina M.
AU - Tenuta, Albert U.
AU - Smith, Damon L.
AU - Wise, Kiersten A.
AU - Mueller, Daren S.
N1 - Publisher Copyright:
© 2020 The American Phytopathological Society
PY - 2020/6
Y1 - 2020/6
N2 - In total, 52 uniform field experiments were conducted in Illinois, Indiana, Iowa, Michigan, South Dakota, and Wisconsin in the United States and Ontario, Canada from 2013 to 2017 comparing crop protection products against sudden death syndrome (SDS) of soybean. Data were analyzed using meta-analytic models to summarize the relationship between foliar disease index (FDX) and yield. For each study, correlation and regression analyses were performed separately to determine three effect sizes: Fisher’s transformation of correlation coefficients (Zr), intercept (b0), and slope (b1). Random- and mixed-effect meta-analyses were used to summarize the effect sizes. Study- and location-specific moderator variables FDX (low < 10% and high $ 10%), date of planting (early = prior to 7 May, conventional = 7 to 21 May, and late = after 21 May) cultivar (susceptible and partially resistant to SDS), study location, and growing season were used as fixed effects. The overall mean effect sizes of transformed correlation coefficient Zr was −0.41 and different from zero (P < 0.001), indicating that yield was negatively correlated with FDX. The Zr was affected by disease level (P < 0.01) and cultivar (P = 0.02), with a greater effect at higher disease levels and with susceptible cultivars. The mean b0 was 4,121 kg/ha and mean b1 was −21 kg/ha/% FDX and were different from zero (P < 0.01). Results from these data indicate that, for every unit of FDX increase, yield was decreased by 0.5%. Study locations and year affected the b0, whereas none of the moderator variables significantly affected b1..
AB - In total, 52 uniform field experiments were conducted in Illinois, Indiana, Iowa, Michigan, South Dakota, and Wisconsin in the United States and Ontario, Canada from 2013 to 2017 comparing crop protection products against sudden death syndrome (SDS) of soybean. Data were analyzed using meta-analytic models to summarize the relationship between foliar disease index (FDX) and yield. For each study, correlation and regression analyses were performed separately to determine three effect sizes: Fisher’s transformation of correlation coefficients (Zr), intercept (b0), and slope (b1). Random- and mixed-effect meta-analyses were used to summarize the effect sizes. Study- and location-specific moderator variables FDX (low < 10% and high $ 10%), date of planting (early = prior to 7 May, conventional = 7 to 21 May, and late = after 21 May) cultivar (susceptible and partially resistant to SDS), study location, and growing season were used as fixed effects. The overall mean effect sizes of transformed correlation coefficient Zr was −0.41 and different from zero (P < 0.001), indicating that yield was negatively correlated with FDX. The Zr was affected by disease level (P < 0.01) and cultivar (P = 0.02), with a greater effect at higher disease levels and with susceptible cultivars. The mean b0 was 4,121 kg/ha and mean b1 was −21 kg/ha/% FDX and were different from zero (P < 0.01). Results from these data indicate that, for every unit of FDX increase, yield was decreased by 0.5%. Study locations and year affected the b0, whereas none of the moderator variables significantly affected b1..
KW - Correlation
KW - Economic impacts
KW - Field crops
KW - Fungi
KW - Oilseeds and legumes
KW - Regression
KW - Sudden death syndrome
KW - Yield loss
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U2 - 10.1094/PDIS-11-19-2441-RE
DO - 10.1094/PDIS-11-19-2441-RE
M3 - Article
C2 - 32289247
AN - SCOPUS:85086284252
SN - 0191-2917
VL - 104
SP - 1736
EP - 1743
JO - Plant Disease
JF - Plant Disease
IS - 6
ER -