Qiaofeng Zhang

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Powdery mildew (PM), caused by Blumeria graminis f. sp. tritici (Bgt), has become a serious disease and caused severe yield losses in the wheat production worldwide. Resistance gene(s) in wheat cultivars can be quickly overcome by newly evolved pathogen races when these genes are employed for long time or in a large area. It is urgent to search for new(More)
Finding an effective method to quantify species compositional changes in time and space has been an important task for ecologists and biogeographers. Recently, exploring regional floristic patterns using data derived from satellite imagery, such as the normalized difference vegetation index (NDVI) has drawn considerable research interests among ecologists.(More)
Considerable progress has been made in understanding the roles of AGC kinases in mammalian systems. However, very little is known about the roles of AGC kinases in wheat (Triticum aestivum). The necrotrophic fungus Rhizoctonia cerealis is the major pathogen of the destructive disease sharp eyespot of wheat. In this study, the wheat AGC kinase gene TaAGC1,(More)
SPOT panchromatic imagery of Beijing has been studied to capture the unique spatial pattern of the city. Texture analysis, which reveals spatial variations, was adopted to interpret the urban spatial patterns. Statistical and structural texture features were extracted from the SPOT image and evaluated for their capability of detailed mapping of urban(More)
Powdery mildew (Pm) caused by Blumeria graminis f. sp. tritici (Bgt) is one of the world’s major wheat diseases and results in large grain yield losses. Discovery and utilization of Pm resistance genes constitute the most common strategy for wheat Pm control. Hongyoumai, a wheat landrace from Henan Province in China, has excellent resistance to infection by(More)
Assessing the impact of climate change on urban landscape dynamics (ULD) is the foundation for adapting to climate change and maintaining urban landscape sustainability. This paper demonstrates an alternative future analysis by coupling a system dynamics (SD) and a cellular automata (CA) model. The potential impact of different climate change scenarios on(More)
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