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

A - Papers appearing in refereed journals

Zhang, X., Halder, J., White, Robin P., Hughes, D. J., Ye, Z., Wang, C., Xu, R., Gan, B. and Fitt, B. D. L. 2014. Climate change increases risk of fusarium wheat ear blight on wheat in central China. Annals of Applied Biology - AAB. 164 (3), pp. 384-395. https://doi.org/10.1111/aab.12107

AuthorsZhang, X., Halder, J., White, Robin P., Hughes, D. J., Ye, Z., Wang, C., Xu, R., Gan, B. and Fitt, B. D. L.
Abstract

To estimate potential impact of climate change on wheat fusarium ear blight (FEB), simulated weather for the A1B climate change scenario was input into a model for estimating FEB in central China. In this article, a logistic weather-based regression model for estimating incidence of wheat FEB in central China was developed, using up to 10 years (2001-2010) 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 the anthesis date for each location in each year. The model suggested that incidence of FEB 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 FEB data for 4-5 years but no nearby weather data, using simulated weather data obtained employing the regional climate modelling system PRECIS. How climate change may affect wheat anthesis date and FEB in central China was investigated for period 2020-2050 using wheat growth model Sirius and climate data simulated using PRECIS. The projection suggested that wheat anthesis dates will generally be earlier and FEB incidence will increase substantially for most locations.

KeywordsAgriculture, Multidisciplinary
Year of Publication2014
JournalAnnals of Applied Biology - AAB
Journal citation164 (3), pp. 384-395
Digital Object Identifier (DOI)https://doi.org/10.1111/aab.12107
Open accessPublished as non-open access
FunderDEFRA - Department for Environment, Food and Rural Affairs UK
Biotechnology and Biological Sciences Research Council
Chinese Ministry of Agriculture
Grantham Institute for Climate Change, Imperial College
SAIN - Sustainable Agriculture Innovation Network
Funder project or codeSupport
Statistics Department (Rothamsted)
ISSN00034746
PublisherWiley
Grant IDDC09-07

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