生物
种质资源
选择(遗传算法)
基因组
近交系
遗传学
植物育种
基因组学
分子育种
育种计划
基因
生物技术
农学
栽培
计算机科学
人工智能
作者
Baobao Wang,Zechuan Lin,Xin Li,Yongping Zhao,Binbin Zhao,Guangxia Wu,Xiaojing Ma,Hai Wang,Yurong Xie,Quanquan Li,Guangshu Song,Dexin Kong,Zhigang Zheng,Hongbin Wei,Rongxin Shen,Hong Wu,Cuixia Chen,Zhaodong Meng,Tianyu Wang,Yu Li
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2020-04-27
卷期号:52 (6): 565-571
被引量:218
标识
DOI:10.1038/s41588-020-0616-3
摘要
Since the development of single-hybrid maize breeding programs in the first half of the twentieth century1, maize yields have increased over sevenfold, and much of that increase can be attributed to tolerance of increased planting density2-4. To explore the genomic basis underlying the dramatic yield increase in maize, we conducted a comprehensive analysis of the genomic and phenotypic changes associated with modern maize breeding through chronological sampling of 350 elite inbred lines representing multiple eras of germplasm from both China and the United States. We document several convergent phenotypic changes in both countries. Using genome-wide association and selection scan methods, we identify 160 loci underlying adaptive agronomic phenotypes and more than 1,800 genomic regions representing the targets of selection during modern breeding. This work demonstrates the use of the breeding-era approach for identifying breeding signatures and lays the foundation for future genomics-enabled maize breeding.
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