Quantification of the relationship between the environment and Fusarium head blight, Fusarium pathogen density, and mycotoxins in winter wheat in Europe

Alissa B. Kriss, Pierce A. Paul, Xiangming Xu, Paul Nicholson, Fiona M. Doohan, L. Hornok, Alberto Rietini, Simon G. Edwards, Laurence V. Madden

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Measurements of local environmental conditions, intensity of Fusarium head blight (FHB) in wheat spikes, biomass of Fusarium graminearum, F. culmorum, and F. poae (pathogens causing FHB) and concentration of the mycotoxins deoxynivalenol (DON) and nivalenol (NIV) in harvested wheat grain were obtained in a total of 150 location-years, originating in three European countries (Hungary, Ireland, United Kingdom) from 2001 to 2004. Through window-pane methodology, the length and starting time of temporal windows where the environmental variables were significantly associated with the biological variables were identified. Window lengths of 5 to 30 days were evaluated, with starting times from 18 days before anthesis to harvest. Associations were quantified with nonparametric Spearman correlation coefficients. All biological variables were significantly associated with at least one evaluated environmental variable (P ≤ 0. 05). Moisture-related variables (e. g., average relative humidity, hours of relative humidity above 80%) had the highest positive correlations with the biological variables, but there also was a significant negative correlation between average temperature and several biological variables. When significant correlations were found, they were generally for all window lengths, but for a limited number of window start times (generally before anthesis for disease index and after anthesis for the toxins and late-season fungal biomasses). Semi-partial Spearman correlation coefficients were used to evaluate the relationship between the environmental variables and the concentration of DON and NIV after the effects of FHB intensity and fungal biomass on the mycotoxins were removed. Significant semi-partial correlations were found between relative humidity variables and DON, and between temperature and relative humidity variables and NIV for time windows that started after anthesis (and not for any earlier time windows). Results confirm that the environment influences disease, fungal biomass, and mycotoxin production, and help refine the time windows where the association is greatest. However, variability in the relationships was high, indicating that no single environmental variable is sufficient for prediction of disease or mycotoxin contamination.

Original languageEnglish
Pages (from-to)975-993
Number of pages19
JournalEuropean Journal of Plant Pathology
Volume133
Issue number4
DOIs
Publication statusPublished - Aug 2012

Fingerprint

Fusarium head blight
mycotoxins
Fusarium
winter wheat
pathogens
nivalenol
relative humidity
deoxynivalenol
environmental factors
flowering
biomass
Fusarium poae
wheat
Fusarium culmorum
Fusarium graminearum
Hungary
Ireland
United Kingdom
temperature
toxins

Keywords

  • Disease forecasting
  • Gibberella zeae
  • Multiple testing
  • Nonparametric correlations
  • Wheat scab
  • Window-pane

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Horticulture
  • Plant Science

Cite this

Quantification of the relationship between the environment and Fusarium head blight, Fusarium pathogen density, and mycotoxins in winter wheat in Europe. / Kriss, Alissa B.; Paul, Pierce A.; Xu, Xiangming; Nicholson, Paul; Doohan, Fiona M.; Hornok, L.; Rietini, Alberto; Edwards, Simon G.; Madden, Laurence V.

In: European Journal of Plant Pathology, Vol. 133, No. 4, 08.2012, p. 975-993.

Research output: Contribution to journalArticle

Kriss, Alissa B. ; Paul, Pierce A. ; Xu, Xiangming ; Nicholson, Paul ; Doohan, Fiona M. ; Hornok, L. ; Rietini, Alberto ; Edwards, Simon G. ; Madden, Laurence V. / Quantification of the relationship between the environment and Fusarium head blight, Fusarium pathogen density, and mycotoxins in winter wheat in Europe. In: European Journal of Plant Pathology. 2012 ; Vol. 133, No. 4. pp. 975-993.
@article{11a33a8e51a4468ca4385c10170a5772,
title = "Quantification of the relationship between the environment and Fusarium head blight, Fusarium pathogen density, and mycotoxins in winter wheat in Europe",
abstract = "Measurements of local environmental conditions, intensity of Fusarium head blight (FHB) in wheat spikes, biomass of Fusarium graminearum, F. culmorum, and F. poae (pathogens causing FHB) and concentration of the mycotoxins deoxynivalenol (DON) and nivalenol (NIV) in harvested wheat grain were obtained in a total of 150 location-years, originating in three European countries (Hungary, Ireland, United Kingdom) from 2001 to 2004. Through window-pane methodology, the length and starting time of temporal windows where the environmental variables were significantly associated with the biological variables were identified. Window lengths of 5 to 30 days were evaluated, with starting times from 18 days before anthesis to harvest. Associations were quantified with nonparametric Spearman correlation coefficients. All biological variables were significantly associated with at least one evaluated environmental variable (P ≤ 0. 05). Moisture-related variables (e. g., average relative humidity, hours of relative humidity above 80{\%}) had the highest positive correlations with the biological variables, but there also was a significant negative correlation between average temperature and several biological variables. When significant correlations were found, they were generally for all window lengths, but for a limited number of window start times (generally before anthesis for disease index and after anthesis for the toxins and late-season fungal biomasses). Semi-partial Spearman correlation coefficients were used to evaluate the relationship between the environmental variables and the concentration of DON and NIV after the effects of FHB intensity and fungal biomass on the mycotoxins were removed. Significant semi-partial correlations were found between relative humidity variables and DON, and between temperature and relative humidity variables and NIV for time windows that started after anthesis (and not for any earlier time windows). Results confirm that the environment influences disease, fungal biomass, and mycotoxin production, and help refine the time windows where the association is greatest. However, variability in the relationships was high, indicating that no single environmental variable is sufficient for prediction of disease or mycotoxin contamination.",
keywords = "Disease forecasting, Gibberella zeae, Multiple testing, Nonparametric correlations, Wheat scab, Window-pane",
author = "Kriss, {Alissa B.} and Paul, {Pierce A.} and Xiangming Xu and Paul Nicholson and Doohan, {Fiona M.} and L. Hornok and Alberto Rietini and Edwards, {Simon G.} and Madden, {Laurence V.}",
year = "2012",
month = "8",
doi = "10.1007/s10658-012-9968-6",
language = "English",
volume = "133",
pages = "975--993",
journal = "European Journal of Plant Pathology",
issn = "0929-1873",
publisher = "Springer Netherlands",
number = "4",

}

TY - JOUR

T1 - Quantification of the relationship between the environment and Fusarium head blight, Fusarium pathogen density, and mycotoxins in winter wheat in Europe

AU - Kriss, Alissa B.

AU - Paul, Pierce A.

AU - Xu, Xiangming

AU - Nicholson, Paul

AU - Doohan, Fiona M.

AU - Hornok, L.

AU - Rietini, Alberto

AU - Edwards, Simon G.

AU - Madden, Laurence V.

PY - 2012/8

Y1 - 2012/8

N2 - Measurements of local environmental conditions, intensity of Fusarium head blight (FHB) in wheat spikes, biomass of Fusarium graminearum, F. culmorum, and F. poae (pathogens causing FHB) and concentration of the mycotoxins deoxynivalenol (DON) and nivalenol (NIV) in harvested wheat grain were obtained in a total of 150 location-years, originating in three European countries (Hungary, Ireland, United Kingdom) from 2001 to 2004. Through window-pane methodology, the length and starting time of temporal windows where the environmental variables were significantly associated with the biological variables were identified. Window lengths of 5 to 30 days were evaluated, with starting times from 18 days before anthesis to harvest. Associations were quantified with nonparametric Spearman correlation coefficients. All biological variables were significantly associated with at least one evaluated environmental variable (P ≤ 0. 05). Moisture-related variables (e. g., average relative humidity, hours of relative humidity above 80%) had the highest positive correlations with the biological variables, but there also was a significant negative correlation between average temperature and several biological variables. When significant correlations were found, they were generally for all window lengths, but for a limited number of window start times (generally before anthesis for disease index and after anthesis for the toxins and late-season fungal biomasses). Semi-partial Spearman correlation coefficients were used to evaluate the relationship between the environmental variables and the concentration of DON and NIV after the effects of FHB intensity and fungal biomass on the mycotoxins were removed. Significant semi-partial correlations were found between relative humidity variables and DON, and between temperature and relative humidity variables and NIV for time windows that started after anthesis (and not for any earlier time windows). Results confirm that the environment influences disease, fungal biomass, and mycotoxin production, and help refine the time windows where the association is greatest. However, variability in the relationships was high, indicating that no single environmental variable is sufficient for prediction of disease or mycotoxin contamination.

AB - Measurements of local environmental conditions, intensity of Fusarium head blight (FHB) in wheat spikes, biomass of Fusarium graminearum, F. culmorum, and F. poae (pathogens causing FHB) and concentration of the mycotoxins deoxynivalenol (DON) and nivalenol (NIV) in harvested wheat grain were obtained in a total of 150 location-years, originating in three European countries (Hungary, Ireland, United Kingdom) from 2001 to 2004. Through window-pane methodology, the length and starting time of temporal windows where the environmental variables were significantly associated with the biological variables were identified. Window lengths of 5 to 30 days were evaluated, with starting times from 18 days before anthesis to harvest. Associations were quantified with nonparametric Spearman correlation coefficients. All biological variables were significantly associated with at least one evaluated environmental variable (P ≤ 0. 05). Moisture-related variables (e. g., average relative humidity, hours of relative humidity above 80%) had the highest positive correlations with the biological variables, but there also was a significant negative correlation between average temperature and several biological variables. When significant correlations were found, they were generally for all window lengths, but for a limited number of window start times (generally before anthesis for disease index and after anthesis for the toxins and late-season fungal biomasses). Semi-partial Spearman correlation coefficients were used to evaluate the relationship between the environmental variables and the concentration of DON and NIV after the effects of FHB intensity and fungal biomass on the mycotoxins were removed. Significant semi-partial correlations were found between relative humidity variables and DON, and between temperature and relative humidity variables and NIV for time windows that started after anthesis (and not for any earlier time windows). Results confirm that the environment influences disease, fungal biomass, and mycotoxin production, and help refine the time windows where the association is greatest. However, variability in the relationships was high, indicating that no single environmental variable is sufficient for prediction of disease or mycotoxin contamination.

KW - Disease forecasting

KW - Gibberella zeae

KW - Multiple testing

KW - Nonparametric correlations

KW - Wheat scab

KW - Window-pane

UR - http://www.scopus.com/inward/record.url?scp=84862862177&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84862862177&partnerID=8YFLogxK

U2 - 10.1007/s10658-012-9968-6

DO - 10.1007/s10658-012-9968-6

M3 - Article

VL - 133

SP - 975

EP - 993

JO - European Journal of Plant Pathology

JF - European Journal of Plant Pathology

SN - 0929-1873

IS - 4

ER -