Multi-model genome-wide association and genomic prediction analysis of 16 agronomic, physiological and quality related traits in ICARDA spring wheat

Abstract Identification and exploration of the genetic architecture traits related to yield, quality, drought heat tolerance is important for yield quality improvement wheat through marker-assisted selection. One hundred ninety-two spring genotypes were tested at two heat-stress locations in Sudan (Wad Medani Dongula), a stress site Morocco (Marchouch) with high potential Egypt (Sids) replicated trials during 2015–2016 2016–2017 cropping seasons. A total 10,577 single nucleotide polymorphism markers identified from 15 K SNP assay used genome-wide association (GWA) study genomic prediction 16 phenotypic tolerance. Significant marker-trait associations detected across GWAS models all traits. Most (MTAs) environment-specific, signifying presence quantitative trait loci-by-environment (QTL x E) interaction. Chromosome arm 5AL had significant multi-model MTAs grain yield-related locations. Highly QTLs on chromosome 2D waxiness. Homoeologous group 2 6 chromosomes protein content, gluten alveograph strength Zeleny sedimentation test while 3BL was both Z W Genomic analysis ridge regression-best linear unbiased model estimated breeding values studied accuracies ranging 0.16 leaf rolling 0.72 peduncle length. The could be targeted selection or further studies aimed fine mapping cloning causative genes detecting favorable haplotypes positive effects agronomic, physiological quality-related