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Genomic Selection in Plant Breeding: Methods, Models, and Perspectives
Trends in Plant Science ( IF 20.5 ) Pub Date : 2017-09-28 , DOI: 10.1016/j.tplants.2017.08.011
José Crossa , Paulino Pérez-Rodríguez , Jaime Cuevas , Osval Montesinos-López , Diego Jarquín , Gustavo de los Campos , Juan Burgueño , Juan M. González-Camacho , Sergio Pérez-Elizalde , Yoseph Beyene , Susanne Dreisigacker , Ravi Singh , Xuecai Zhang , Manje Gowda , Manish Roorkiwal , Jessica Rutkoski , Rajeev K. Varshney

Genomic selection (GS) facilitates the rapid selection of superior genotypes and accelerates the breeding cycle. In this review, we discuss the history, principles, and basis of GS and genomic-enabled prediction (GP) as well as the genetics and statistical complexities of GP models, including genomic genotype × environment (G × E) interactions. We also examine the accuracy of GP models and methods for two cereal crops and two legume crops based on random cross-validation. GS applied to maize breeding has shown tangible genetic gains. Based on GP results, we speculate how GS in germplasm enhancement (i.e., prebreeding) programs could accelerate the flow of genes from gene bank accessions to elite lines. Recent advances in hyperspectral image technology could be combined with GS and pedigree-assisted breeding.



中文翻译:

植物育种中的基因组选择:方法,模型和观点

基因组选择(GS)有助于快速选择优良基因型并加快育种周期。在这篇综述中,我们讨论了GS和基因组启用预测(GP)的历史,原理和基础,以及GP模型的遗传和统计复杂性,包括基因组基因型×环境(G×E)相互作用。我们还基于随机交叉验证检验了两种谷物和两种豆类作物的GP模型和方法的准确性。用于玉米育种的GS已显示出明显的遗传增益。根据GP的结果,我们推测GS在种质增强(即预育)程序中如何加速基因从基因库登录到优良品系的流动。高光谱图像技术的最新进展可以与GS和谱系辅助育种相结合。

更新日期:2017-09-28
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