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Climate change increases risk of fusarium ear blight on wheat in central China

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Climate change increases risk of fusarium ear blight on wheat in central China. / Zhang, Xu; Halder, Julia; White, R.P.; Hughes, David; Ye, Zhen; Wang, C.; Xu, R.; Gan, B.; Fitt, Bruce D.L.

In: Acta Phytopathologica Sinica, Vol. 43, No. Supp, 08.2013, p. 163.

Research output: Contribution to journalMeeting abstract

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APA

Vancouver

Zhang X, Halder J, White RP, Hughes D, Ye Z, Wang C et al. Climate change increases risk of fusarium ear blight on wheat in central China. Acta Phytopathologica Sinica. 2013 Aug;43(Supp):163.

Author

Zhang, Xu ; Halder, Julia ; White, R.P. ; Hughes, David ; Ye, Zhen ; Wang, C. ; Xu, R. ; Gan, B. ; Fitt, Bruce D.L. / Climate change increases risk of fusarium ear blight on wheat in central China. In: Acta Phytopathologica Sinica. 2013 ; Vol. 43, No. Supp. pp. 163.

Bibtex

@article{b156ae1380084e4ca448b558b2230a01,
title = "Climate change increases risk of fusarium ear blight on wheat in central China",
abstract = "In this work, a logistic weather-based regression model for estimating incidence of wheat fusarium ear blight in central China was developed, using up to 10 years of disease, anthesis date and weather data available for 10 locations in Anhui and Hubei provinces. In the model, the weather variables were defined with respect to theanthesis date for each location in each year. The model suggested that incidence of fusarium ear blight is related to number of days of rainfall in a 30-day period after anthesis and that high temperatures before anthesis increase the incidence of disease. Validation was done to test whether this relationship was satisfied for another five locations in Anhui province with fusarium ear blight data but no nearby weather data, using weather data generated by the regional climate modelling system PRECIS. How climate change may affect wheat anthesis date and fusarium ear blight in central China was investigated for period 2020-2050 using wheat growth model Sirius and climate data generated by PRECIS. The projection suggested that wheat anthesis dates will generally be earlier and fusarium ear blight incidence will increase substantially for most locations.",
author = "Xu Zhang and Julia Halder and R.P. White and David Hughes and Zhen Ye and C. Wang and R. Xu and B. Gan and Fitt, {Bruce D.L.}",
year = "2013",
month = aug,
language = "English",
volume = "43",
pages = "163",
journal = "Acta Phytopathologica Sinica",
issn = "0412-0914",
number = "Supp",
note = "10th International Congress of Plant Pathology ; Conference date: 25-08-2013 Through 30-08-2013",

}

RIS

TY - JOUR

T1 - Climate change increases risk of fusarium ear blight on wheat in central China

AU - Zhang, Xu

AU - Halder, Julia

AU - White, R.P.

AU - Hughes, David

AU - Ye, Zhen

AU - Wang, C.

AU - Xu, R.

AU - Gan, B.

AU - Fitt, Bruce D.L.

PY - 2013/8

Y1 - 2013/8

N2 - In this work, a logistic weather-based regression model for estimating incidence of wheat fusarium ear blight in central China was developed, using up to 10 years of disease, anthesis date and weather data available for 10 locations in Anhui and Hubei provinces. In the model, the weather variables were defined with respect to theanthesis date for each location in each year. The model suggested that incidence of fusarium ear blight is related to number of days of rainfall in a 30-day period after anthesis and that high temperatures before anthesis increase the incidence of disease. Validation was done to test whether this relationship was satisfied for another five locations in Anhui province with fusarium ear blight data but no nearby weather data, using weather data generated by the regional climate modelling system PRECIS. How climate change may affect wheat anthesis date and fusarium ear blight in central China was investigated for period 2020-2050 using wheat growth model Sirius and climate data generated by PRECIS. The projection suggested that wheat anthesis dates will generally be earlier and fusarium ear blight incidence will increase substantially for most locations.

AB - In this work, a logistic weather-based regression model for estimating incidence of wheat fusarium ear blight in central China was developed, using up to 10 years of disease, anthesis date and weather data available for 10 locations in Anhui and Hubei provinces. In the model, the weather variables were defined with respect to theanthesis date for each location in each year. The model suggested that incidence of fusarium ear blight is related to number of days of rainfall in a 30-day period after anthesis and that high temperatures before anthesis increase the incidence of disease. Validation was done to test whether this relationship was satisfied for another five locations in Anhui province with fusarium ear blight data but no nearby weather data, using weather data generated by the regional climate modelling system PRECIS. How climate change may affect wheat anthesis date and fusarium ear blight in central China was investigated for period 2020-2050 using wheat growth model Sirius and climate data generated by PRECIS. The projection suggested that wheat anthesis dates will generally be earlier and fusarium ear blight incidence will increase substantially for most locations.

M3 - Meeting abstract

VL - 43

SP - 163

JO - Acta Phytopathologica Sinica

JF - Acta Phytopathologica Sinica

SN - 0412-0914

IS - Supp

T2 - 10th International Congress of Plant Pathology

Y2 - 25 August 2013 through 30 August 2013

ER -