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Genetic Characterization and Genome-Wide Association Mapping for Stem Rust Resistance in Spring Bread Wheat
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Abstract
Background Emerging wheat stem rust races has become a major threat to global wheat production. Finding additional loci responsible for resistance to these races and incorporating them into currently cultivated varieties is the most economical and environmentally sound strategy to combat this problem. Thus, this study aimed to characterize the genetic diversity of wheat and to identify the genetic loci conferring resistance to stem rust of wheat. To accomplish this study, 245 elite lines introduced from the International Center for Agricultural Research in the Dry Areas (ICARDA) were tested under natural stem rust pressure in the field at the Debre Zeit Agricultural Research Center, Ethiopia. The SNP marker data was retrieved from a 15K SNP wheat array. Association analysis was undertaken between SNP markers and best linear unbiased prediction (BLUP) value of the stem rust coefficient of infection (CI) using a mixed linear model. Results Phenotypic analysis revealed 46% of lines had a coefficient of infection (CI) between 0 to 19. An average 0.38 in Nei’s gene diversity, 0.20 in polymorphism information content, and 0.71 in major allele frequency of the whole genome were identified.A total of 46 marker-trait associations (MTAs) that were encompassed within 13 quantitative trait loci (QTL) on chromosomes 1B, 3A, 3B, 4A, 4B, and 5A were found for CI. Four major QTLs with –log10 (p) ≥ 3 (EWYP1B.1, EWYP1B.3, EWYP1B.4, and EWYP1B.5) were identified on chromosome 1B. Conclusions This study contributes several novel markers associated with stem rust resistance. These can be further facilitating durable rust resistance development through marker-assisted selection. The resistant wheat genotypes identified in this study are recommended to be used in the national wheat breeding programs to improve stem rust resistance. Key words: markers; Puccinia graminis f. sp. tritici; QTL
Springer Science and Business Media LLC
Title: Genetic Characterization and Genome-Wide Association Mapping for Stem Rust Resistance in Spring Bread Wheat
Description:
Abstract
Background Emerging wheat stem rust races has become a major threat to global wheat production.
Finding additional loci responsible for resistance to these races and incorporating them into currently cultivated varieties is the most economical and environmentally sound strategy to combat this problem.
Thus, this study aimed to characterize the genetic diversity of wheat and to identify the genetic loci conferring resistance to stem rust of wheat.
To accomplish this study, 245 elite lines introduced from the International Center for Agricultural Research in the Dry Areas (ICARDA) were tested under natural stem rust pressure in the field at the Debre Zeit Agricultural Research Center, Ethiopia.
The SNP marker data was retrieved from a 15K SNP wheat array.
Association analysis was undertaken between SNP markers and best linear unbiased prediction (BLUP) value of the stem rust coefficient of infection (CI) using a mixed linear model.
Results Phenotypic analysis revealed 46% of lines had a coefficient of infection (CI) between 0 to 19.
An average 0.
38 in Nei’s gene diversity, 0.
20 in polymorphism information content, and 0.
71 in major allele frequency of the whole genome were identified.
A total of 46 marker-trait associations (MTAs) that were encompassed within 13 quantitative trait loci (QTL) on chromosomes 1B, 3A, 3B, 4A, 4B, and 5A were found for CI.
Four major QTLs with –log10 (p) ≥ 3 (EWYP1B.
1, EWYP1B.
3, EWYP1B.
4, and EWYP1B.
5) were identified on chromosome 1B.
Conclusions This study contributes several novel markers associated with stem rust resistance.
These can be further facilitating durable rust resistance development through marker-assisted selection.
The resistant wheat genotypes identified in this study are recommended to be used in the national wheat breeding programs to improve stem rust resistance.
Key words: markers; Puccinia graminis f.
sp.
tritici; QTL.
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