基因组选择
生物
选择(遗传算法)
植物育种
生物技术
牲畜
农业
人口
基因组学
遗传增益
生态学
基因组
计算机科学
遗传变异
农学
遗传学
机器学习
基因型
社会学
人口学
单核苷酸多态性
基因
作者
John M. Hickey,Tinashe Chiurugwi,Ian Mackay,W. Powell
出处
期刊:Nature Genetics
[Springer Nature]
日期:2017-09-01
卷期号:49 (9): 1297-1303
被引量:327
摘要
Wayne Powell and colleagues compare the different tools and approaches used by the plant breeding community versus the animal breeding community for crop and livestock improvement. They argue that the two disciplines can be united via adoption of genomic selection along with the exchange of resources and techniques between the two areas. The rate of annual yield increases for major staple crops must more than double relative to current levels in order to feed a predicted global population of 9 billion by 2050. Controlled hybridization and selective breeding have been used for centuries to adapt plant and animal species for human use. However, achieving higher, sustainable rates of improvement in yields in various species will require renewed genetic interventions and dramatic improvement of agricultural practices. Genomic prediction of breeding values has the potential to improve selection, reduce costs and provide a platform that unifies breeding approaches, biological discovery, and tools and methods. Here we compare and contrast some animal and plant breeding approaches to make a case for bringing the two together through the application of genomic selection. We propose a strategy for the use of genomic selection as a unifying approach to deliver innovative 'step changes' in the rate of genetic gain at scale.
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