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ARS Home » Southeast Area » Florence, South Carolina » Coastal Plain Soil, Water and Plant Conservation Research » Research » Publications at this Location » Publication #323077

Title: Genetic variation for agronomic and fiber quality traits in a population derived from high-quality cotton germplasm

Author
item Campbell, Benjamin - Todd
item GREENE, JEREMY - Clemson University
item WU, JIXIANG - South Dakota State University
item JONES, DON - Cotton, Inc

Submitted to: Crop Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 1/4/2016
Publication Date: 7/15/2016
Citation: Campbell, B.T., Greene, J., Wu, J., Jones, D. 2016. Genetic variation for agronomic and fiber quality traits in a population derived from high-quality cotton germplasm. Crop Science. 56:1689-1697. doi: 10.2135/cropsci2015.10.0657.

Interpretive Summary: Genetic improvement of fiber quality is necessary to meet the requirements of processors and users of cotton fiber. Knowledge of the genetic architecture of fiber quality is needed to effectively design breeding strategies to further improve fiber quality. In this study, our objective was to estimate genetic variance components and predict genetic effects for agronomic and fiber quality traits in a population derived from four known sources of high fiber quality. The majority of genetic variation present in this population was due to additive genetic variation. Results point to one of the four parents, MD 15, as being a unique genetic source of high fiber quality alleles that can further improve fiber quality.

Technical Abstract: Genetic improvement of fiber quality is necessary to meet the requirements of processors and users of cotton fiber. To foster genetic improvement of cotton fiber quality, adequate genetic variation for the quantitatively inherited physical properties of cotton is required. Additionally, knowledge of the genetic architecture of improved fiber quality is needed to effectively design breeding strategies to further improve fiber quality. In this study, our objective was to estimate genetic variance components and predict genetic effects for agronomic and fiber quality traits in a population derived from four known genotypic sources of high fiber quality. The majority of genetic variation present in a half-diallel population derived from these four sources of high fiber quality was due to additive genetic variation. Predicted genetic effects point to one of the four parents, MD 15, being a unique genetic source of high fiber quality alleles that behave additively.