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An empirical analysis of explanatory variables affecting Fusarium head blight infection and deoxynivalenol content in wheat

Sofie Landschoot (UGent) , Willem Waegeman (UGent) , Kris Audenaert (UGent) , Jan Vandepitte (UGent) , Jan Baetens (UGent) , Bernard De Baets (UGent) and Geert Haesaert (UGent)
(2012) JOURNAL OF PLANT PATHOLOGY. 94(1). p.135-147
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Abstract
Models for predicting Fusarium head blight (FHB) and deoxynivalenol (DON) content in wheat provide farmers with a tool for preventing yield loss and mycotoxin contamination. Due to the complex nature of FHB, these models typically take only a subset of explanatory variables as inputs, such as weather conditions during anthesis and, to a lesser extent, field-specific variables and crop characteristics. We present a thorough statistical analysis of a broad spectrum of variables that affect FHB and DON content, using an unique database of field observations covering nine years. This study unveils new variables that play an important role in FHB incidence and DON content. Evidence is brought forward demonstrating the effect of species interactions on DON content and the effect of weather conditions during the vegetative growth stage. Indeed, temperature from November till May was positively correlated with FHB and DON content, whereas relative humidity was negatively correlated with DON content in November and December. In a broader view of the divergent results obtained regarding FHB and DON content in wheat crops, this study underscores that the prediction of FHB and DON content should be seen as two distinct goals.
Keywords
EAR BLIGHT, RESISTANCE, WEATHER DATA, SPRING WHEAT, GIBBERELLA-ZEAE, WINTER-WHEAT, wheat variety, weather, Fusarium head blight, disease index, crop rotation, deoxynivalenol, GRAIN, ACCUMULATION, CULTIVAR, INOCULUM

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MLA
Landschoot, Sofie, et al. “An Empirical Analysis of Explanatory Variables Affecting Fusarium Head Blight Infection and Deoxynivalenol Content in Wheat.” JOURNAL OF PLANT PATHOLOGY, vol. 94, no. 1, 2012, pp. 135–47.
APA
Landschoot, S., Waegeman, W., Audenaert, K., Vandepitte, J., Baetens, J., De Baets, B., & Haesaert, G. (2012). An empirical analysis of explanatory variables affecting Fusarium head blight infection and deoxynivalenol content in wheat. JOURNAL OF PLANT PATHOLOGY, 94(1), 135–147.
Chicago author-date
Landschoot, Sofie, Willem Waegeman, Kris Audenaert, Jan Vandepitte, Jan Baetens, Bernard De Baets, and Geert Haesaert. 2012. “An Empirical Analysis of Explanatory Variables Affecting Fusarium Head Blight Infection and Deoxynivalenol Content in Wheat.” JOURNAL OF PLANT PATHOLOGY 94 (1): 135–47.
Chicago author-date (all authors)
Landschoot, Sofie, Willem Waegeman, Kris Audenaert, Jan Vandepitte, Jan Baetens, Bernard De Baets, and Geert Haesaert. 2012. “An Empirical Analysis of Explanatory Variables Affecting Fusarium Head Blight Infection and Deoxynivalenol Content in Wheat.” JOURNAL OF PLANT PATHOLOGY 94 (1): 135–147.
Vancouver
1.
Landschoot S, Waegeman W, Audenaert K, Vandepitte J, Baetens J, De Baets B, et al. An empirical analysis of explanatory variables affecting Fusarium head blight infection and deoxynivalenol content in wheat. JOURNAL OF PLANT PATHOLOGY. 2012;94(1):135–47.
IEEE
[1]
S. Landschoot et al., “An empirical analysis of explanatory variables affecting Fusarium head blight infection and deoxynivalenol content in wheat,” JOURNAL OF PLANT PATHOLOGY, vol. 94, no. 1, pp. 135–147, 2012.
@article{2135860,
  abstract     = {{Models for predicting Fusarium head blight (FHB) and deoxynivalenol (DON) content in wheat provide farmers with a tool for preventing yield loss and mycotoxin contamination. Due to the complex nature of FHB, these models typically take only a subset of explanatory variables as inputs, such as weather conditions during anthesis and, to a lesser extent, field-specific variables and crop characteristics. We present a thorough statistical analysis of a broad spectrum of variables that affect FHB and DON content, using an unique database of field observations covering nine years. This study unveils new variables that play an important role in FHB incidence and DON content. Evidence is brought forward demonstrating the effect of species interactions on DON content and the effect of weather conditions during the vegetative growth stage. Indeed, temperature from November till May was positively correlated with FHB and DON content, whereas relative humidity was negatively correlated with DON content in November and December. In a broader view of the divergent results obtained regarding FHB and DON content in wheat crops, this study underscores that the prediction of FHB and DON content should be seen as two distinct goals.}},
  author       = {{Landschoot, Sofie and Waegeman, Willem and Audenaert, Kris and Vandepitte, Jan and Baetens, Jan and De Baets, Bernard and Haesaert, Geert}},
  issn         = {{1125-4653}},
  journal      = {{JOURNAL OF PLANT PATHOLOGY}},
  keywords     = {{EAR BLIGHT,RESISTANCE,WEATHER DATA,SPRING WHEAT,GIBBERELLA-ZEAE,WINTER-WHEAT,wheat variety,weather,Fusarium head blight,disease index,crop rotation,deoxynivalenol,GRAIN,ACCUMULATION,CULTIVAR,INOCULUM}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{135--147}},
  title        = {{An empirical analysis of explanatory variables affecting Fusarium head blight infection and deoxynivalenol content in wheat}},
  volume       = {{94}},
  year         = {{2012}},
}

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