[Objective] This study aimed to provide a theoretical basis for the genetic improvement of maize quality in Shanxi Province. [Method] The variations in unit weight, crude starch content, crude protein content, crude f...[Objective] This study aimed to provide a theoretical basis for the genetic improvement of maize quality in Shanxi Province. [Method] The variations in unit weight, crude starch content, crude protein content, crude fat content and lysine content of maize cultivars approved by Shanxi Province during 2003-2012 were analyzed. [Result] In Shanxi Province, the average unit weight and crude starch content of maize cultivars approved during 2003-2012 were trended to be increased;the crude fat contents of maize cultivars approved during 2003-2012 showed no significant changes; the lysine contents of maize cultivars approved during 2003-2008 were essentially unchanged; the crude protein contents of maize cultivars approved during 2003-2012 declined slightly. [Conclusion] The crude starch content and unit weight of maize increased with the increased yield; the crude protein content, crude fat content and lysine content showed certain stability, and they were mainly controlled by genes. Therefore, the breeding of particular maize should be strengthened.展开更多
应用近红外光谱法(Near infrared spectroscopy,NIRS)和偏最小二乘法(Partial least squares,PLS)建立玉米粗蛋白质、粗脂肪和粗淀粉定量分析的近红外光谱数学模型,并对模型预测结果的准确性进行了评价。结果表明:近红外预测模型的内部...应用近红外光谱法(Near infrared spectroscopy,NIRS)和偏最小二乘法(Partial least squares,PLS)建立玉米粗蛋白质、粗脂肪和粗淀粉定量分析的近红外光谱数学模型,并对模型预测结果的准确性进行了评价。结果表明:近红外预测模型的内部交叉验证决定系数(R2cv)分别为:0.9778,0.9666和0.9927;交叉证实标准差(RMSECV)分别为:0.38,0.40和1.51;模型外部验证决定系数(Rv2al)分别为0.9391,0.9651和0.9875;外部验证标准差(RMSEP)为0.41,0.35和1.31。实际样品的常规分析结果得出玉米粗蛋白质、粗脂肪和粗淀粉的NIRS数学模型具有较高的预测准确性,可应用于玉米育种工作中的大批样品的品质分析。展开更多
基金Supported by Shanxi Provincial Fund for Development of Modern Crop Seed Industry(2014ZYFFZ-07)Twelfth Five-Year Plan of Shanxi Academy of Agricultural Sciences for Maize Breeding(11yzgc136)~~
文摘[Objective] This study aimed to provide a theoretical basis for the genetic improvement of maize quality in Shanxi Province. [Method] The variations in unit weight, crude starch content, crude protein content, crude fat content and lysine content of maize cultivars approved by Shanxi Province during 2003-2012 were analyzed. [Result] In Shanxi Province, the average unit weight and crude starch content of maize cultivars approved during 2003-2012 were trended to be increased;the crude fat contents of maize cultivars approved during 2003-2012 showed no significant changes; the lysine contents of maize cultivars approved during 2003-2008 were essentially unchanged; the crude protein contents of maize cultivars approved during 2003-2012 declined slightly. [Conclusion] The crude starch content and unit weight of maize increased with the increased yield; the crude protein content, crude fat content and lysine content showed certain stability, and they were mainly controlled by genes. Therefore, the breeding of particular maize should be strengthened.
文摘应用近红外光谱法(Near infrared spectroscopy,NIRS)和偏最小二乘法(Partial least squares,PLS)建立玉米粗蛋白质、粗脂肪和粗淀粉定量分析的近红外光谱数学模型,并对模型预测结果的准确性进行了评价。结果表明:近红外预测模型的内部交叉验证决定系数(R2cv)分别为:0.9778,0.9666和0.9927;交叉证实标准差(RMSECV)分别为:0.38,0.40和1.51;模型外部验证决定系数(Rv2al)分别为0.9391,0.9651和0.9875;外部验证标准差(RMSEP)为0.41,0.35和1.31。实际样品的常规分析结果得出玉米粗蛋白质、粗脂肪和粗淀粉的NIRS数学模型具有较高的预测准确性,可应用于玉米育种工作中的大批样品的品质分析。