| Literature DB >> 26715032 |
Yingjie Xiao1, Hao Tong1, Xiaohong Yang2, Shizhong Xu3, Qingchun Pan1, Feng Qiao1, Mohammad Sharif Raihan1, Yun Luo1, Haijun Liu1, Xuehai Zhang1, Ning Yang1, Xiaqing Wang1, Min Deng1, Minliang Jin1, Lijun Zhao1, Xin Luo1, Yang Zhou1, Xiang Li1, Jie Liu1, Wei Zhan1, Nannan Liu1, Hong Wang1, Gengshen Chen1, Ye Cai2, Gen Xu2, Weidong Wang2, Debo Zheng2, Jianbing Yan1.
Abstract
Improvement of grain yield is an essential long-term goal of maize (Zea mays) breeding to meet continual and increasing food demands worldwide, but the genetic basis remains unclear. We used 10 different recombination inbred line (RIL) populations genotyped with high-density markers and phenotyped in multiple environments to dissect the genetic architecture of maize ear traits. Three methods were used to map the quantitative trait loci (QTLs) affecting ear traits. We found 17-34 minor- or moderate-effect loci that influence ear traits, with little epistasis and environmental interactions, totally accounting for 55.4-82% of the phenotypic variation. Four novel QTLs were validated and fine mapped using candidate gene association analysis, expression QTL analysis and heterogeneous inbred family validation. The combination of multiple different populations is a flexible and manageable way to collaboratively integrate widely available genetic resources, thereby boosting the statistical power of QTL discovery for important traits in agricultural crops, ultimately facilitating breeding programs.Entities:
Keywords: genome-wide association study (GWAS); joint linkage mapping; maize (Zea mays); multi-parent population; quantitative trait loci (QTLs); yield traits
Mesh:
Year: 2015 PMID: 26715032 DOI: 10.1111/nph.13814
Source DB: PubMed Journal: New Phytol ISSN: 0028-646X Impact factor: 10.151