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Research article - Peer-reviewed, 2021

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

Alemu, Admas; Suliman, Sufian; Hagras, Adel; Thabet, Sherif; Al-Abdallat, Ayed; Abdelmula, Awadalla Abdalla; Tadesse, Wuletaw

Abstract

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

Keywords

Common wheat; GWAS; Genomic selection; SNP; Agronomic traits; Abiotic stress

Published in

Euphytica
2021, volume: 217, number: 11, article number: 205
Publisher: SPRINGER

Authors' information

Swedish University of Agricultural Sciences, Department of Plant Breeding
Debre Tabor University
Suliman, Sufian
Agricultural Research Corporation (ARC)
Hagras, Adel
Agricultural Research Center (ARC)
Thabet, Sherif
Agricultural Research Center (ARC)
Al-Abdallat, Ayed
University of Jordan
Abdelmula, Awadalla Abdalla
University of Khartoum
Tadesse, Wuletaw
International Centre for Agricultural Research in the Dry Areas (ICARDA)

Sustainable Development Goals

SDG2 Zero hunger

UKÄ Subject classification

Genetics and Breeding
Agricultural Science

Publication Identifiers

DOI: https://doi.org/10.1007/s10681-021-02933-6

URI (permanent link to this page)

https://res.slu.se/id/publ/114294