Modeling of the overwintering distribution of Puccinia striiformis f. sp. tritici based on meteorological data from 2001 to 2012 in China

Xiaojing WANG, Zhanhong MA, Yuying JIANG, Shouding SHI, Wancai LIU, Juan ZENG, Zhiwei ZHAO, Haiguang WANG

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Front. Agr. Sci. Eng. ›› 2014, Vol. 1 ›› Issue (3) : 223-235. DOI: 10.15302/J-FASE-2014025
RESEARCH ARTICLE
RESEARCH ARTICLE

Modeling of the overwintering distribution of Puccinia striiformis f. sp. tritici based on meteorological data from 2001 to 2012 in China

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Abstract

Wheat stripe rust caused by Puccinia striiformis f. sp. tritici occurs widely in China and seriously affects wheat production. Global warming could profoundly impact the incidence and prevalence of low-temperature diseases such as stripe rust. Studies on the effects of temperature on the distribution of overwintering stripe rust could help us understand the incidence and prevalence of the disease and could also provide support for monitoring, forecasting and developing control strategies. An exponential model and a spherical model of the ordinary Kriging method in the ArcGIS platform were used to predict the overwintering regions of stripe rust based on the probability that the average temperature of the coldest month from December to February was higher than -6 or -7°C from 2001 to 2012. The results showed that the areas with a probability between 70% and 90% were transition regions for the overwintering of stripe rust. Based on annual mean temperature of the coldest month from December to February for 2001 to 2012, overwintering distribution of stripe rust was likewise evaluated. The boundary for overwintering of stripe rust was consistent with the areas where the probability was predicted to be 70% to 90% for the overwintering distribution of stripe rust, but the boundary was shifted northward toward Beijing in North China. Some areas in Xinjiang, including Akto, Pishan, Hotan and Yutian, were also predicted to be suitable for the overwintering of stripe rust.

Keywords

stripe rust / wheat / overwintering / geospatial distribution / geographic information system / climate change

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Xiaojing WANG, Zhanhong MA, Yuying JIANG, Shouding SHI, Wancai LIU, Juan ZENG, Zhiwei ZHAO, Haiguang WANG. Modeling of the overwintering distribution of Puccinia striiformis f. sp. tritici based on meteorological data from 2001 to 2012 in China. Front. Agr. Sci. Eng., 2014, 1(3): 223‒235 https://doi.org/10.15302/J-FASE-2014025

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Acknowledgements

This study was supported by the National Natural Science Foundation of China (31101393) and the National Key Technologies Research and Development Program (2012BAD19BA04).
Xiaojing Wang, Zhanhong Ma, Yuying Jiang, Shouding Shi, Wancai Liu, Juan Zeng, Zhiwei Zhao and Haiguang Wang declare that they have no conflict of interest or financial conflicts to disclose.‚‚This article does not contain any studies with human or animal subjects performed by any of the authors.

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