Correlation Analysis of Paddy Rice Growth Meteorological Factor, Yield and Element in Southern Henan
Abstract：Based on the 29 years of weather data during 1981-2009 and paddy rice observational data of Xinyang national first level of agro-meteorological station, using SPSS statistical analysis software, we established statistical regression relationship between meteorological factor such as ten-days average temperature, minimum temperature, precipitation and sunshine hours and the shell rate, unfilled grain rate, 1000-grain weight and 1 m2 yield. The results are as follows. 1 ） The paddy rice shell rates in a season increase with sunshine hours reduction in mid-June and mid-August, and increase with precipitation increase in late August. 2） The unfilled grain rate decrease with precipitation increase in mid-August, and increase with precipitation increase in late August, and increase with minimum temperature decrease in late August. 3） The 1000-grain weight increase with precipitation reduction in milky stage, and increase with sunshine hours increase. 4） The 1 m2 yield increase with precipitation reduction in mid-July, and increase with average temperature in early September and sunshine hours increase.
Keywords：paddy rice growing periodmeteorological factoroutputoutput factoreffect
Publication Date：2011-08-08
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：4( 68-71 )