Using DPS data processing system,correlation analysis,regression analysis and path analysis were conducted by multiple linear regression.The yield components of main wheat varieties in six representative areas (Zhengzhou,Nanyang,Xinyang,Anyang,Shangqiu,Luoyang) of Henan Province during 1950-2015 were studied.Among three yield component factors,the number of effective panicles and 1 000-kernel weight had extremely significantly correlation with the yield of wheat in six regions,the order of correlation degree from high to low was the number of effective panicles,1 000-kernel weight,kernels per panicle.The results of path analysis was consistent with the results of correlation analysis.Taking Zhengzhou City as an example,multiple linear regression model was established and the regression equation was Y =-528.837 0 + 8.424 6X1 +9.887 2X2 +8.061 7 X3.Among three yield component factors of wheat in Henan Province,the number of effective panicles had the greatest effect on the yield,1 000-kernel weight was the second.The kernels per panicle had the least effect on the yield of wheat.%利用DPS数据处理系统,通过多元线性回归进行相关分析、回归分析和通径分析,研究了1950-2015年河南省6个代表地区(安阳、商丘、郑州、南阳、信阳、洛阳)生产上主导小麦品种的产量构成因素.小麦3个产量构成因素中,6个地区有效穗数、千粒重与产量均呈极显著正相关,相关程度从高到低依次为有效穗数、千粒重、穗粒数;通径分析与相关分析结果相一致.以郑州地区为例,建立了多元线性回归模型,回归方程为y=-528.837 0+8.424 6X+9.887 2X2+8.061 7X3.在河南地区小麦3个产量构成因素中,有效穗数对产量的影响最大,是影响实际产量的最重要因素,其次为千粒重,而穗粒数对产量的影响最小.
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