Phenotypic and genome-wide association analyses for nitrogen use efficiency related traits in maize (Zea mays L.) exotic introgression lines

Frontiers in Plant Science

Plant Science

Palloma Indiara Caproni Morais¹  Gerald De La Fuente¹  Thomas Lübberstedt¹  Michael J. Castellano¹  Darlene L. Sanchez¹  Alice Silva Santana¹  Michael Blanco²  Edicarlos Peterlini³ 

[1] Department of Agronomy, Iowa State University, Ames, IA, United States;Department of Agronomy, Iowa State University, Ames, IA, United States;Department of Agriculture, Agricultural Research Service (USDA-ARS), Ames, IA, United States;Department of Agronomy, State University of Maringá, Maringá, PR, Brazil;

关键词: candidate gene;    quantitative trait locus;    diversity;    genetic resources;    abiotic stress;   

DOI  :  10.3389/fpls.2023.1270166

 received in 2023-07-31, accepted in 2023-09-18,  发布年份 2023

来源: Frontiers

【 摘 要 】

Nitrogen (N) limits crop production, yet more than half of N fertilizer inputs are lost to the environment. Developing maize hybrids with improved N use efficiency can help minimize N losses and in turn reduce adverse ecological, economical, and health consequences. This study aimed to identify single nucleotide polymorphisms (SNPs) associated with agronomic traits (plant height, grain yield, and anthesis to silking interval) under high and low N conditions. A genome-wide association study (GWAS) was conducted using 181 doubled haploid (DH) lines derived from crosses between landraces from the Germplasm Enhancement of Maize (BGEM lines) project and two inbreds, PHB47 and PHZ51. These DH lines were genotyped using 62,077 SNP markers. The same lines from the per se trials were used as parental lines for the testcross field trials. Plant height, anthesis to silking interval, and grain yield were collected from high and low N conditions in three environments for both per se and testcross trials. We used three GWAS models, namely, general linear model (GLM), mixed linear model (MLM), and Fixed and Random model Circulating Probability Unification (FarmCPU) model. We observed significant genetic variation among the DH lines and their derived testcrosses. Interestingly, some testcrosses of exotic introgression lines were superior under high and low N conditions compared to the check hybrid, PHB47/PHZ51. We detected multiple SNPs associated with agronomic traits under high and low N, some of which co-localized with gene models associated with stress response and N metabolism. The BGEM panel is, thus, a promising source of allelic diversity for genes controlling agronomic traits under different N conditions.

【 授权许可】

Unknown   
Copyright © 2023 Sanchez, Santana, Morais, Peterlini, De La Fuente, Castellano, Blanco and Lübberstedt