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Selection of Jatropha curcas families based on temporal stability and adaptability of genetic values

机译:基于时间稳定性和遗传价值的适应性选择麻烦的Curcas系列

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Despite its numerous important traits for biodiesel production, little research exists on the Jatropha curcas crop, mainly with respect to repeated measures over time (crop years). The present study was thus developed to evaluate repeated measures over time in Jatropha curcas and examine the applicability and efficiency of the harmonic mean of the relative performance of genetic values (HMRPGV) method in the selection of families for yield, stability, and adaptability, simultaneously. The work involved data from the evaluation of 730 individuals of 73 half-sib families, in a complete randomized block design, during six crop years, for the trait grain yield Restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) procedure was performed to estimate the variance components and predict the genetic values. Ten crop years must be evaluated to obtain 80% of the maximum coefficient of determination and 90% accuracy in terms of genetic gain from selection. The efficiency of performing 10 measurements compared with the situation in which only one measurement is used was 67%. The HMRPGV method has great potential in the selection of Jatropha curcas families for yield, stability, and adaptability, simultaneously.
机译:尽管其许多重要的生物柴油生产具有重要性状,但麻风树曲线作物的研究几乎没有关于重复措施随着时间的推移(农作物年份)。因此,开发了本研究以评估麻风树图CURCAS随着时间的推移重复措施,并审查遗传值(HMRPGV)方法在选择遗传,稳定性和适应性的遗传值(HMRPGV)方法的相对性能的适用性和效率。该工作涉及730个单个SIB家族的730个人的评估中的数据,在一个完整的随机块设计中,在六个作物年内,对于特质谷物产量受限制的最大似然/最佳线性无偏的预测(REML / BLUP)程序进行了估计方差分量并预测遗传值。必须评估十个农作物,以获得最大测定系数的80%,从选择的遗传增益方面获得90%的准确性。与仅使用一个测量的情况相比,执行10测量的效率为67%。 HMRPGV方法在选择Joatropha Curcas系列时具有很大的潜力,同时产生稳定性和适应性。

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