2010
DOI: 10.1007/s12041-010-0055-5
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Association of AFLP and SSR markers with agronomic and fibre quality traits in Gossypium hirsutum L.

Abstract: Molecular markers linked to QTL contributing to agronomic and fibre quality traits would be useful for cotton improvement. We have attempted to tag yield and fibre quality traits with AFLP and SSR markers using F(2) and F(3) populations of a cross between two Gossypium hirsutum varieties, PS56-4 and RS2013. Out of 50 AFLP primer combinations and 177 SSR primer pairs tested, 32 AFLP and four SSR primers were chosen for genotyping F(2) individuals. Marker-trait associations were studied for eight agronomic and f… Show more

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Cited by 27 publications
(20 citation statements)
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References 30 publications
(34 reference statements)
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“…This has important applications for the study of relations between molecular markers and agronomic traits, some of which include: the detection and analysis of potential in specific genotypes, collections of germplasm, identification of desirable alleles, and validation of candidate markers linked to quantitative traits (Gebhardt et al, 2004). Although the mapping of quantitative trait loci (QTLs) is well suited for detection of genes associated with the traits, it is labour intensive, while segregating population preparation is both time consuming and costly (Rakshit et al, 2010). In order to overcome these limitations, multiple regression analysis offers an appropriate method to identify markers associated with the trait.…”
Section: Introductionmentioning
confidence: 99%
“…This has important applications for the study of relations between molecular markers and agronomic traits, some of which include: the detection and analysis of potential in specific genotypes, collections of germplasm, identification of desirable alleles, and validation of candidate markers linked to quantitative traits (Gebhardt et al, 2004). Although the mapping of quantitative trait loci (QTLs) is well suited for detection of genes associated with the traits, it is labour intensive, while segregating population preparation is both time consuming and costly (Rakshit et al, 2010). In order to overcome these limitations, multiple regression analysis offers an appropriate method to identify markers associated with the trait.…”
Section: Introductionmentioning
confidence: 99%
“…In many previous studies, differences have been reported in the level of polymorphism among SSRs, which ranged from 2.26% (Rakshit et al. ) to 26% (Qureshi et al. ) in G. hirsutum .…”
Section: Discussionmentioning
confidence: 93%
“…Such an association may be due to pleiotropic effects of the linked QTL on different traits. Closely linked QTLs affecting different traits may also lead to a single marker showing association with multiple traits that would be reflected in correlations between traits (Rakshit et al ). In our study, two markers were found to be associated with SH and SW. Three markers were correlated with TW.…”
Section: Discussionmentioning
confidence: 99%