2021
DOI: 10.1007/s12892-021-00084-7
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Genome wide association study of grain yield and yield related traits in spring bread wheat (Triticum aestivum L.) under drought and heat conditions in three different locations

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Cited by 8 publications
(8 citation statements)
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“…Water stress tolerance as a trait can be assessed from correlated traits with high yield under these conditions or from drought indices which accurately assess the genotypic yield response to drought stress (Al-Naggar et al, 2020Shehab-Eldeen and Farhat, 2020, El Gataa et al, 2021, Morsy et al, 2021, and Nehe et al, 2021.…”
Section: Introductionmentioning
confidence: 99%
“…Water stress tolerance as a trait can be assessed from correlated traits with high yield under these conditions or from drought indices which accurately assess the genotypic yield response to drought stress (Al-Naggar et al, 2020Shehab-Eldeen and Farhat, 2020, El Gataa et al, 2021, Morsy et al, 2021, and Nehe et al, 2021.…”
Section: Introductionmentioning
confidence: 99%
“…We identified two other significant markers on chromosomes 2D and 4A. Several studies detected many MTAs/QTLs for grain yield in the same chromosomes [ 5 , 35 ]. In this study, we identified five MTAs for biomass in irrigated conditions, which are located on chromosomes 7A and 5B where the highest marker was ‘BS00022169_51’ located on chromosome 7A with −Log10(p) = 4.14 at position 691 Mbp, a previous study found the same marker on chromosome 7A [ 40 ].…”
Section: Discussionmentioning
confidence: 94%
“…Using molecular markers such as single nucleotide polymorphism (SNP) and diversity array technologies (DArT), marker-assisted selection (MAS) has become an essential strategy in wheat breeding for the development of novel adapted lines to biotic and abiotic stresses. Based on linkage disequilibrium (LD), a genome-wide association study (GWAS) is a strong method for identifying marker-trait associations (MTA) and quantitative trait loci (QTL) associated with the trait of interest [ 5 ]. GWAS employed a variety of statistical models, although the Mixed Linear Model (MLM) and the General Linear Model (GLM) were the most often used.…”
Section: Introductionmentioning
confidence: 99%
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“…In recent year a new approach "association mapping" has been developed as a promising technique to identify the genomic regions associated with plant traits. Genome wide association studies (GWAS) has become a choice of method for the identification of genomic regions of the complex quantitative traits in specifically designed plants population or germplasm collections (13). In GWAS a large panel of population with natural phenotypic variation is used which truly represent the genetic diversity available for different traits in a given region or country (14,15).…”
Section: Introductionmentioning
confidence: 99%