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Acta Agron Sin ›› 2017, Vol. 43 ›› Issue (03): 371-377.doi: 10.3724/SP.J.1006.2017.00371

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Performance of eBLUP in Variety Evaluation of Regional Rape Trials in China

REN Chang-Hong1,2,GESANGQUZHEN1,3,Hu Xi-Yuan1,*   

  1. 1 College of Agronomy, Northwest A&F University, Yangling 712100, China; 2 Kangma Integrated Service Center for Agriculture and Animal Husbandry of Xizang Autonomous Region, Kangma 857500, China; 3 Institute of Forestry Seedling Science & Technique of Xizang Autonomous Region, Lhasa 850000, China
  • Received:2016-04-20 Revised:2016-09-18 Online:2017-03-12 Published:2016-09-28
  • Contact: 胡希远, E-mail: xiyuanhu@aliyun.com, Tel: 13072926729
  • Supported by:

    The study was supported by the Natural Science Foundation of Shaanxi Province of China (2012JM3009).

Abstract:

The mixed model and its best linear unbiased prediction (BLUP) are more suitable for analysis of the trails with unbalanced 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 estimates, ranking and t-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 in t-test for effect difference comparison based on eBLUP. The results 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; In t-test for both variety main effects and location-specific variety effects, eBLUP and ANOVA provided similar variety pairs with significant (α = 0.05) difference.

Key words: Rape trial, eBLUP, Variety evaluation, Kenward-Roger method

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