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灰色系统理论中的关联分析 ,在评估农作物新品种时 ,能对多个相关性状进行定量分析 ,避免数理统计中的定量分析与定性分析不符 ,避免要求有大量的样本和典型的概率分布 ,是目前对新品种进行综合评估较为有效的方法。利用计算机技术 ,可减少大量的计算工作 ,提高工作效率 ;同时 ,还可依据以前本地的品种区域试验和当地当时的实际表现情况 ,模拟出当地“理想品种”中各性状的参数和各个性状的不同权重系数 ,减少人为因素对分析结果的影响程度 ,提高评估新品种的准确性和可靠性。
Correlation analysis in gray system theory can quantitatively analyze a number of related traits in the evaluation of new crop varieties to avoid discrepancies between quantitative analysis and qualitative analysis in mathematical statistics and to avoid requiring a large number of samples and typical probability distributions The current comprehensive evaluation of new varieties more effective way. The use of computer technology can reduce a large number of computational work and improve work efficiency; at the same time, we can also simulate the parameters and traits of each trait in the local “ideal breed” based on the previous regional trials of local breeds and the local actual performance at that time Different weight coefficients reduce the impact of human factors on the analysis results and improve the accuracy and reliability of the assessment of new varieties.