首页> 外文期刊>Plant Breeding >Prospects for genomic selection in forage plant species.
【24h】

Prospects for genomic selection in forage plant species.

机译:饲用植物物种的基因组选择前景。

获取原文
获取原文并翻译 | 示例
       

摘要

Genomic selection (GS) is a powerful method for exploitation of DNA sequence polymorphisms in breeding improvement, through the prediction of breeding values based on all markers distributed genome-wide. Forage grasses and legumes provide important targets for GS implementation, as many key traits are difficult or expensive to assess, and are measured late in the breeding cycle. Generic attributes of forage breeding programmes are described, along with status of genomic resources for a representative species group (ryegrasses). Two schemes for implementing GS in ryegrass breeding are described. The first requires relatively little modification of current schemes, but could lead to significant reductions in operating cost. The second scheme would allow two rounds of selection for key agronomic traits within a time period previously required for a single round, potentially leading to doubling of genetic gain rate, but requires a purpose-designed reference population. In both schemes, the limited extent of linkage disequilibrium (LD), which is the major challenge for GS implementation in ryegrass breeding, is addressed. The strategies also incorporate recent advances in DNA sequencing technology to minimize costs.
机译:基因组选择(GS)是通过基于分布在全基因组中的所有标记的育种值预测育种价值来利用DNA序列多态性改善育种的有效方法。饲草和豆科植物为实施GS提供了重要目标,因为许多关键性状难以评估或昂贵,并且在繁殖周期后期进行测量。描述了饲草育种程序的一般属性,以及代表性物种组(黑麦草)的基因组资源状况。描述了在黑麦草育种中实施GS的两种方案。第一个要求对当前方案进行相对较少的修改,但是可能导致运营成本的大幅降低。第二种方案将允许在先前单轮所需的时间段内对关键农艺性状进行两轮选择,可能导致遗传增益率翻倍,但需要有目的设计的参考种群。在这两种方案中,解决了连锁不平衡(LD)的程度有限的问题,这是黑麦草育种中GS实施的主要挑战。这些策略还结合了DNA测序技术的最新进展,以最大程度地降低成本。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号