Genetic Mapping of Fiber Quality Traits in Upland Cotton Using SSR Markers

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Deepika Mishra , Texas Tech University
Bralie Hendon , Texas Tech University
Robert Kelby Vise , Texas Tech University
Krishan Mohan Rai , Texas Tech University
Kari Hugie , Texas A&M University
C. Wayne Smith , Texas A&M University
Venugopal Mendu , Texas Tech University
Eric Hequet , Texas Tech University
Dick Auld , Texas Tech University
Genetic mapping of fiber quality traits in upland cotton using SSR markers

Deepika Mishra1, Bralie Hendon1, Robert Imel1, Krishan Rai1, Kari Hugie2, Wayne Smith2, Venugopal Mendu1, Eric F Hequet1 and Dick L. Auld1

1Texas Tech University, Lubbock, TX-79409

2Texas A&M University, College Station, TX- 77843

Cotton is the world’s most important fiber crop. In the USA, two cotton species, i.e. Gossypium hirsutum (Upland) and Gossypium barbadense (Pima), are widely grown. However, low fiber length and strength make US cotton less competitive in global markets. In order to exploit the full market potential of U.S cotton there is a continuing need for genetic improvement in fiber quality. Molecular markers could be one of the most efficient tool to improve our understanding of the genetic mechanisms controlling fiber quality.

This study was designed to identify associations between Simple Sequence Repeats (SSR) markers and fiber quality traits using genotypes adapted to the Texas High Plains region. In consultation with Texas A&M University cotton breeding program (Dr. Wayne Smith), 12 potential SSR markers for fiber quality were chosen for mapping Upland cotton collections for fiber length and fiber strength. A total of 18 parental genotypes were evaluated for fiber strength and fiber length traits. The genotypes were amplified by 12 SSR marker pairs belonging to BNL, NAU, CGR, DPL and TMB series. All 12 primers showed amplification and produced a total of 227 scorable bands. Sufficient polymorphism was seen for different fiber traits suggesting the possibility of improving cotton fiber quality using a, MAS (marker assisted selection) scheme.