comprehensive meta-analysis of plant morphology, yield, stay-green, and virus disease resistance QTL in maize (Zea mays L.)

• Published in: Planta Vol. 243; no. 2; pp. 459 - 471
• Main Authors: Wang, Yijun, Xu, Jing, Deng, Dexiang, Ding, Haidong, Bian, Yunlong, Yin, Zhitong, Wu, Yarong, Zhou, Bo, Zhao, Ye
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2016; Springer Science + Business Media; Springer Nature B.V
• Subjects: Agriculture; agronomic traits; alleles; bioinformatics; Biomedical and Life Sciences; Chromosomes, Plant; Computational Biology; Corn; corn ears; Crop yield; crops; Disease resistance; Disease Resistance - genetics; Ecology; flowering; Forestry; Genes, Plant; genomics; introgression; leaf angle; Leaves; Life Sciences; meta-analysis; ORIGINAL ARTICLE; Plant breeding; Plant morphology; Plant Sciences; Plants; Quantitative Trait Loci; rice; stress tolerance; translation (genetics); viruses; Zea mays; Zea mays - genetics; Zea mays - growth & development; Zea mays - virology; Maize breeding; Yield performance; Agronomic trait; Candidate gene; Quantitative trait locus; Bioinformatics; Meta-analysis

MAIN CONCLUSION : The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new avenues for functional markers development and elite alleles introgression in maize breeding program. A large number of QTLs attributed to gra...