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Improving Genetic Gain with Genomic Selection in Autotetraploid Potato

机译:通过四倍体马铃薯的基因组选择提高遗传增益。

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Potato (Solanum tuberosum?L.) breeders consider a large number of traits during cultivar development and progress in conventional breeding can be slow. There is accumulating evidence that some of these traits, such as yield, are affected by a large number of genes with small individual effects. Recently, significant efforts have been applied to the development of genomic resources to improve potato breeding, culminating in a draft genome sequence and the identification of a large number of single nucleotide polymorphisms (SNPs). The availability of these genome-wide SNPs is a prerequisite for implementing genomic selection for improvement of polygenic traits such as yield. In this review, we investigate opportunities for the application of genomic selection to potato, including novel breeding program designs. We have considered a number of factors that will influence this process, including the autotetraploid and heterozygous genetic nature of potato, the rate of decay of linkage disequilibrium, the number of required markers, the design of a reference population, and trait heritability. Based on estimates of the effective population size derived from a potato breeding program, we have calculated the expected accuracy of genomic selection for four key traits of varying heritability and propose that it will be reasonably accurate. We compared the expected genetic gain from genomic selection with the expected gain from phenotypic and pedigree selection, and found that genetic gain can be substantially improved by using genomic selection.
机译:马铃薯(Solanum tuberosum?L。)育种者认为在品种开发过程中会有许多特征,常规育种的进度可能会很慢。越来越多的证据表明,其中一些性状(例如产量)受大量基因的影响,而个体效应较小。近来,已经进行了巨大的努力来开发基因组资源,以改善马铃薯的育种,最终达到草图基因组序列,并鉴定出大量的单核苷酸多态性(SNP)。这些全基因组SNP的可用性是实施基因组选择以改善多基因性状(如产量)的前提。在这篇综述中,我们调查了将基因组选择应用于马铃薯的机会,包括新颖的育种程序设计。我们考虑了许多会影响这一过程的因素,包括马铃薯的四倍体和杂合遗传特性,连锁不平衡的衰减率,所需标记的数量,参考群体的设计以及性状遗传。根据对马铃薯育种计划得出的有效种群规模的估计,我们计算了遗传力变化的四个关键性状的基因组选择的预期准确性,并提出了合理的准确性。我们将基因组选择的预期遗传收益与表型和谱系选择的预期收益进行了比较,发现通过使用基因组选择可以显着改善遗传收益。

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