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Using genome-wide selection to increase genetic gain for forage yield in a perennial ryegrass breeding programme

机译:使用基因组选择来增加多年生黑麦草育种计划中饲料产量的遗传增益

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Genetic gain in forage species has been low in comparison to other crops. Reasons include a long selection cycle, an inability to select for 'harvest index', an inability to exploit heterosis, and less investment. Indirect; selection using genome-widemarkers offers an opportunity to accelerate genetic gain for forage yield in I perennial species by enabling multiple cycles of genomic selection (GS) to be performed in the same time it takes to perform a single cycle of conventional selection. However, in order to take advantage of GS in forage breeding we must overcome some of the challenges to its implementation and modify genotypic selection schemes to take full advantage of GS. In this paper we present results evaluating GS models for first cut silage in a tetraploid perennial ryegrass [Lolium perenne L.) population. Predictive abilities of between 0.19 and 0.23 for first cut silage were achieved. As multiple cycles of GS can be completed in the time it takes to complete a single cycle of conventional genotypic selection this translates to over a three-fold greater breeding gain with GS.
机译:与其他作物相比,饲料物种的遗传增益较低。原因包括长选择周期,无法选择“收获指数”,无法利用杂种优势,较少的投资。间接;使用Genome-Widemarkers的选择提供了通过在执行单个常规选择所需的同一基因组选择(GS)的多个基因组选择(GS)中来加速I常数物种中的遗传增益的机会。但是,为了利用GS饲养育种,我们必须克服其实施的一些挑战,并修改基因型选择方案以充分利用GS。在本文中,我们提出了在四倍体多年生黑麦草[Lolium perenne L.)群中的首先切割青贮饲料的GS模型。实现了第一次切割青贮饲料0.19和0.23之间的预测能力。随着在完成常规基因型选择的单个循环所需的时间内可以完成GS的多个周期,这转化为具有GS的三倍较大的育种增益。

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