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Triple full-sibs: A method for estimating components of genetic variance and progeny selection in plants
Crop Science ( IF 2.0 ) Pub Date : 2021-03-26 , DOI: 10.1002/csc2.20518
Lázaro José Chaves 1
Affiliation  

Quantifying the genetic variability present in plant populations is crucial for the success of selection plans. The partitioning of genetic variance into its components allows inferences about the inheritance of quantitative traits and prediction of the gain from selection. The present study aimed to present an alternative method to estimate components of genetic variance with applications in recurrent selection. The mating scheme is based on biparental cyclic crossing involving three parents in each chain, here called the triple full-sibs (TFS) family, each of which is composed of three biparental progenies in which individuals are full-sibs within each progeny and half-sibs among progenies. The progenies are evaluated in experimental trials, and the total effect of progenies is hierarchically partitioned into the effects of TFS families and progenies within families. From the components of variance, additive and dominance variance, as well as the associated errors, can be estimated. Simulated data are used to illustrate the method of analysis and parameter estimation. The method combines the advantages of North Carolina Design I regarding estimation of variance components with the practicality of conventional full-sib selection. The TFS method allows different selection strategies according to the selection unit and provides expected genetic gain equal to or greater than unrelated full-sib selection. There is no further advantage to using more than three parents in each chain-cross.

中文翻译:

三重全同胞:一种估计植物遗传变异和后代选择成分的方法

量化植物种群中存在的遗传变异性对于选择计划的成功至关重要。将遗传变异划分为其组成部分,可以推断数量性状的遗传和选择收益的预测。本研究旨在提出一种替代方法来估计遗传变异的组成部分,并在循环选择中应用。交配方案基于每条链中涉及三个亲本的双亲循环杂交,这里称为三重全同胞 (TFS) 家庭,每个家庭由三个双亲后代组成,其中个体是每个后代中的全同胞和半同胞后代之间的同胞。在实验性试验中评估后代,子代的总效应按层次划分为 TFS 家族和家族内子代的效应。从方差的分量中,可以估计加性方差和显性方差以及相关的误差。模拟数据用于说明分析和参数估计的方法。该方法结合了 North Carolina Design I 在方差分量估计方面的优势与传统全同胞选择的实用性。TFS 方法允许根据选择单位采用不同的选择策略,并提供等于或大于无关全同胞选择的预期遗传增益。在每个链交叉中使用三个以上的亲本没有进一步的优势。以及相关的误差,可以估计。模拟数据用于说明分析和参数估计的方法。该方法结合了 North Carolina Design I 在方差分量估计方面的优势与传统全同胞选择的实用性。TFS 方法允许根据选择单位采用不同的选择策略,并提供等于或大于无关全同胞选择的预期遗传增益。在每个链交叉中使用三个以上的亲本没有进一步的优势。以及相关的误差,可以估计。模拟数据用于说明分析和参数估计的方法。该方法结合了 North Carolina Design I 在方差分量估计方面的优势与传统全同胞选择的实用性。TFS 方法允许根据选择单元采用不同的选择策略,并提供等于或大于无关全同胞选择的预期遗传增益。在每个链交叉中使用三个以上的亲本没有进一步的优势。TFS 方法允许根据选择单元采用不同的选择策略,并提供等于或大于无关全同胞选择的预期遗传增益。在每个链交叉中使用三个以上的亲本没有进一步的优势。TFS 方法允许根据选择单位采用不同的选择策略,并提供等于或大于无关全同胞选择的预期遗传增益。在每个链交叉中使用三个以上的亲本没有进一步的优势。
更新日期:2021-03-26
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