
Proceedings Paper
On variations in the growth/development stages of winter wheat and their response to climateFormat | Member Price | Non-Member Price |
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Paper Abstract
Using data from Zhengzhou the Excel-made time-dependent variations in the growth and development (G/D) stages of winter wheat in 1981-2002 are investigated, with analysis done of the curves. Also, the trends of G/D variations over the years are dealt with by use of the related tendency rates of the appearing dates of all the G/D stages of the crop. Results show that the dates of pre-winter G/D stages depend mainly on the seeding date and the overwhelming majority of the G/D stages shift to an earlier date in the vegetative growth period. A statistical expression is constructed by utilizing the 1981-2002 data of the number of days of the G/D stages and corresponding mean temperatures, with which to explain the variation of the G/D stages of winter wheat.
Paper Details
Date Published: 1 September 2005
PDF: 9 pages
Proc. SPIE 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II, 58841K (1 September 2005); doi: 10.1117/12.616656
Published in SPIE Proceedings Vol. 5884:
Remote Sensing and Modeling of Ecosystems for Sustainability II
Wei Gao; David R. Shaw, Editor(s)
PDF: 9 pages
Proc. SPIE 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II, 58841K (1 September 2005); doi: 10.1117/12.616656
Show Author Affiliations
Guoqiang Zhao, Nanjing Univ. of Information Science and Technology (China)
Henan Provincial Meteorological Institute (China)
Huailiang Chen, Henan Provincial Meteorological Institute (China)
Xuefen Zhang, Henan Provincial Meteorological Institute (China)
Henan Provincial Meteorological Institute (China)
Huailiang Chen, Henan Provincial Meteorological Institute (China)
Xuefen Zhang, Henan Provincial Meteorological Institute (China)
Weichang Liu, Henan Provincial Meteorological Institute (China)
Shitao Wang, Henan Provincial Meteorological Institute (China)
Shitao Wang, Henan Provincial Meteorological Institute (China)
Published in SPIE Proceedings Vol. 5884:
Remote Sensing and Modeling of Ecosystems for Sustainability II
Wei Gao; David R. Shaw, Editor(s)
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