作物学报2017，Vol.43Issue(3)：371-377,7.DOI:10.3724/SP.J.1006.2017.00371
经验性最佳线性无偏预测(eBLUP)在油菜区域试验品种评价的效果
Performance of eBLUP in Variety Evaluation of Regional Rape Trials in China
摘要
Abstract
The mixed model and its best linear unbiased prediction (BLUP) are more suitable for analysis of the trails with unbal-anced data and heterogeneous errors, and BLUP can provide more accurate ranking for random effects. In analysis of practical trials, the variance parameters are unknown and their estimates have to be used. In this case, the BLUP become empirical BLUP (eBLUP). To investigate the performance of eBLUP in variety valuation of regional crop trials in China, this paper compared es-timates, ranking andt-test for both variety main effects and location-specific variety effects between using ANOVA and eBLUP based on 12 yield data sets from the rape variety evaluation trials of China from 2012–2014. The method of Kenward and Roger was used for approximating denominator degrees of freedom int-test for effect difference comparison based on eBLUP. The re-sults showed that in view of variety main effects, there was only small discrepancy between eBLUP and arithmetic mean of ANOVA, variety ranking was the same between them; in view of location-specific variety effects, there was large discrepancy between eBLUP and arithmetic mean, variety ranking was more accurate in eBLUP than arithmetic mean; int-test for both variety main effects and location-specific variety effects, eBLUP and ANOVA provided similar variety pairs with significant (α = 0.05) difference.关键词
油菜试验/eBLUP/品种评价/Kenward-Roger法Key words
Rape trial/eBLUP/Variety evaluation/Kenward-Roger method引用本文复制引用
任长宏,格桑曲珍,胡希远..经验性最佳线性无偏预测(eBLUP)在油菜区域试验品种评价的效果[J].作物学报,2017,43(3):371-377,7.基金项目
本研究由陕西省自然科学基金项目(2012JM3009)资助.The study was supported by the Natural Science Foundation of Shaanxi Province of China (2012JM3009). （2012JM3009）
