采用最优线性无偏估计(Best Linear Unbiased Prediction,BLUP)方法对甘蔗亲本的单性状育种值进行估计,目的在于为亲本的正确选择与科学组配提供重要的理论基础。对2010年YT系列的4个母性亲本21个杂交组合的实生苗后代单丛产量的单性状...采用最优线性无偏估计(Best Linear Unbiased Prediction,BLUP)方法对甘蔗亲本的单性状育种值进行估计,目的在于为亲本的正确选择与科学组配提供重要的理论基础。对2010年YT系列的4个母性亲本21个杂交组合的实生苗后代单丛产量的单性状育种值进行计算,结果发现,4个母本的优劣顺序为YT00-236>YT01-125>YT00-319>YT83-257,而3个区组效应差异不大。建议结合甘蔗生产实际,进一步探索适宜的亲本评价与选择方法。展开更多
[Objective] The study aimed to compare several statistical analysis models for estimating the sugarcane （Saccharum spp.） genotypic stability. [Method] The data of sugarcane regional trials in Guangdong, in 2009 was ...[Objective] The study aimed to compare several statistical analysis models for estimating the sugarcane （Saccharum spp.） genotypic stability. [Method] The data of sugarcane regional trials in Guangdong, in 2009 was analyzed by three models respectively： Finlay and Wilkinson model： the additive main effects and multiplicative interaction （AMMI） model and linear regression-principal components analysis （LR- PCA） model, so as to compare the models. [Result] The Finlay and Wilkinson model was easier, but the analysis of the other two models was more comprehensive, and there was a bit difference between the additive main effects and multiplicative inter- action （AMMI） model and linear regression-principal components analysis （LR-PCA） model. [Conclusion] In practice, while the proper statistical method was usually con- sidered according to the different data, it should be also considered that the same data should be analyzed with different statistical methods in order to get a more reasonable result by comparison.展开更多
文摘采用最优线性无偏估计(Best Linear Unbiased Prediction,BLUP)方法对甘蔗亲本的单性状育种值进行估计,目的在于为亲本的正确选择与科学组配提供重要的理论基础。对2010年YT系列的4个母性亲本21个杂交组合的实生苗后代单丛产量的单性状育种值进行计算,结果发现,4个母本的优劣顺序为YT00-236>YT01-125>YT00-319>YT83-257,而3个区组效应差异不大。建议结合甘蔗生产实际,进一步探索适宜的亲本评价与选择方法。
基金Supported by the Guangdong Technological Program (2009B02001002)the Special Funds of National Agricultural Department for Commonweal Trade Research (nyhyzx07-019)the Earmarked Fund for Modern Agro-industry Technology Research System~~
文摘[Objective] The study aimed to compare several statistical analysis models for estimating the sugarcane （Saccharum spp.） genotypic stability. [Method] The data of sugarcane regional trials in Guangdong, in 2009 was analyzed by three models respectively： Finlay and Wilkinson model： the additive main effects and multiplicative interaction （AMMI） model and linear regression-principal components analysis （LR- PCA） model, so as to compare the models. [Result] The Finlay and Wilkinson model was easier, but the analysis of the other two models was more comprehensive, and there was a bit difference between the additive main effects and multiplicative inter- action （AMMI） model and linear regression-principal components analysis （LR-PCA） model. [Conclusion] In practice, while the proper statistical method was usually con- sidered according to the different data, it should be also considered that the same data should be analyzed with different statistical methods in order to get a more reasonable result by comparison.
