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

Autor:	Sanchez DL; Department of Agronomy, Iowa State University, Ames, IA, United States., Santana AS; Department of Agronomy, Iowa State University, Ames, IA, United States., Morais PIC; Department of Agronomy, Iowa State University, Ames, IA, United States., Peterlini E; Department of Agronomy, State University of Maringá, Maringá, PR, Brazil., De La Fuente G; Department of Agronomy, Iowa State University, Ames, IA, United States., Castellano MJ; Department of Agronomy, Iowa State University, Ames, IA, United States., Blanco M; Department of Agronomy, Iowa State University, Ames, IA, United States.; Department of Agriculture, Agricultural Research Service (USDA-ARS), Ames, IA, United States., Lübberstedt T; Department of Agronomy, Iowa State University, Ames, IA, United States.
Jazyk:	angličtina
Zdroj:	Frontiers in plant science [Front Plant Sci] 2023 Oct 09; Vol. 14, pp. 1270166. Date of Electronic Publication: 2023 Oct 09 (Print Publication: 2023).
DOI:	10.3389/fpls.2023.1270166
Abstrakt:	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. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Sanchez, Santana, Morais, Peterlini, De La Fuente, Castellano, Blanco and Lübberstedt.)
Databáze:	MEDLINE
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