2020
DOI: 10.3389/fpls.2020.00748
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Genome-Wide Association Studies in Diverse Spring Wheat Panel for Stripe, Stem, and Leaf Rust Resistance

Abstract: Kumar et al. GWAS for Multiple Rust Resistance genome-wide association for identification of a large number of favorable alleles for leaf, stripe, and stem rust resistance for broadening the genetic base. Quick conversion of these QTL into user-friendly markers will accelerate the deployment of these resistance loci in wheat breeding programs.

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Cited by 51 publications
(54 citation statements)
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References 168 publications
(206 reference statements)
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“…On the basis of IT scores, our results suggested 110S119 and 238S119 were the most virulent pathotypes in 2018 whereas 110S119 was the most virulent in 2019. Recently, a study of diverse spring wheat panel for stripe rust also showed similar results, i.e., 110S119, the most virulent pathotype (Kumar et al, 2020).…”
Section: Identification Of New Sources Of Resistancementioning
confidence: 59%
See 1 more Smart Citation
“…On the basis of IT scores, our results suggested 110S119 and 238S119 were the most virulent pathotypes in 2018 whereas 110S119 was the most virulent in 2019. Recently, a study of diverse spring wheat panel for stripe rust also showed similar results, i.e., 110S119, the most virulent pathotype (Kumar et al, 2020).…”
Section: Identification Of New Sources Of Resistancementioning
confidence: 59%
“…The determination of extent of genetic diversity and population structure are the foremost requirement for initiating and utilizing plant genetic resources in breeding programs and also for genetic studies (Atwell et al, 2010). We found the marker density of 19,090 SNPs on different chromosomes and identified that Genome B showed the highest marker density as compared to sub-genome A and D. Previous studies also revealed highest marker density of polymorphic SNPs on the B sub-genome (Kumar et al, 2020).…”
Section: Marker Coverage and Population Structurementioning
confidence: 65%
“…Two novel stripe rust resistance QTLs were identified using the GWAS approach on 5AS and 5AL wheat chromosomes ( 37 ). Similarly, many other GWAS-based studies have identified stripe rust resistance genes/QTLs ( 38 – 40 ). Keeping in view these highlighted examples for the use of GWAS and QTL-Seq in the identification of novel stripe rust resistance genes, both these approaches should be given primary importance in breeding programs focused on development of rust-resistant wheat varieties.…”
Section: Applications Of Advanced Genomics Tools For Identification Omentioning
confidence: 89%
“…All QTLs that explain more than 10% of the total variation is considered major QTLs [20,48]. Previous studies identi ed QTLs on chromosomes 2A and 4A associated with stripe rust adult plant resistance [28,29].…”
Section: Genome-wide Association Study For Stripe Rust Resistancementioning
confidence: 99%
“…It has been applied successfully to study the genetic architecture of disease resistance in wheat [20][21][22][23][24][25][26][27]. For stripe rust resistance, GWAS was reported as an effective tool to identify a large number of favorable alleles controlling the resistance [28].…”
Section: Introductionmentioning
confidence: 99%