2010Journal of Chengdu University of Information TechnologyRequires access

Rice Production Factors and Weather-related Fluctuation Analysis

Zhou Zheng-bin

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Abstract

The observation data between 1985 and 2003 in Shuangliu County are used to separate the meteorological production.The point poly graph of the meteorological factors and standardized treatment of various development stages are used to obtain the correlation coefficient and the multiple regression equation is established.The integral regression is used to analyze the influence of the meteorological factors on the meteorological production.The results show that in the planting-out seedlings period the meteorological and climate accumulated production is negatively correlated,in the clover-transplant period the weather and activities accumulated production is positively correlated,in the jointingbooting the meteorological yield and effective temperature is positively correlated and in the blossoming-milky stage the weather and the highest yield is negatively correlated.

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What this paper is about

The observation data between 1985 and 2003 in Shuangliu County are used to separate the meteorological production.The point poly graph of the meteorological factors and standardized treatment of various development stages are used to obtain the correlation coefficient and the multiple regression equation is established.The integral regression is used to analyze the influence of the meteorological factors on the meteorological production.The results show that in the planting-out seedlings period the meteorological and climate accumulated production is negatively correlated,in the clover-transplant period the weather and activities accumulated production is positively correlated,in the jointingbooting the meteorological yield and effective temperature is positively correlated and in the blossoming-milky stage the weather and the highest yield is negatively correlated.

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Available abstract

The observation data between 1985 and 2003 in Shuangliu County are used to separate the meteorological production.The point poly graph of the meteorological factors and standardized treatment of various development stages are used to obtain the correlation coefficient and the multiple regression equation is established.The integral regression is used to analyze the influence of the meteorological factors on the meteorological production.The results show that in the planting-out seedlings period the meteorological and climate accumulated production is negatively correlated,in the clover-transplant period the weather and activities accumulated production is positively correlated,in the jointingbooting the meteorological yield and effective temperature is positively correlated and in the blossoming-milky stage the weather and the highest yield is negatively correlated.

Key concepts: Environmental science, Sowing, Yield (engineering), Regression analysis, Production (economics), Regression, Climatology, Statistics

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