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United States Department of Agriculture

Agricultural Research Service

Title: RiceCAP: Mapping rice milling yield QTL in a U.S. long grain cross

Authors
item McClung, Anna
item McClung, Anna
item Fjellstrom, Robert
item Oard, James - LOUISIANA STATE UNIV.
item Linscombe, Steve - LOUISIANA STATE UNIV.
item Moldenhauer, Karen - UNIV. OF AR RREC
item Jodari, Farman - CA RICE RESEARCH BOARD
item Lacaze, Xavier - KANSAS STATE UNIV.
item Leong, Sally
item Nguyen, Henry - UNIV. OF MISSOURI
item Wang, Guo-Liang - UNIV. OF AR RREC
item Nelson, J Clare - KANSAS STATE UNIV.

Submitted to: American Society of Agronomy Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: July 1, 2008
Publication Date: October 5, 2008
Citation: McClung, A.M., Fjellstrom, R.G., Oard, J.H., Linscombe, S.D., Moldenhauer, K.K., Jodari, F., Lacaze, X., Leong, S.A., Nguyen, H., Wang, G., Nelson, J. 2008. RiceCAP: Mapping rice milling yield QTL in a U.S. long grain cross. [abstract] American Society of Agronomy Abstracts. p. 655-3.

Technical Abstract: Whole grain milling yield is a major determinant of rice crop value. Because this trait is under quantitative inheritance and is sensitive to variation due to the production environment and post-harvest handling, it is difficult to improve. This study was conducted as part of the USDA NRI RiceCAP program to identify QTL associated with rice milling quality. A mapping population of 300 recombinant inbred lines was derived from a cross between two rice cultivars, Cypress (high milling yield) and LaGrue (low milling yield). The lines were genotyped with 106 SSR markers and evaluated for milling yield, grain fissuring, and grain dimension traits under field conditions in Stuttgart, AR and Crowley, LA in 2006 and 2007. QTL for milling yield identified on chromosomes 1, 2 and 10 accounted for respectively 18 and 10% of genotype and genotype x environment variation in whole milling yield, respectively. The QTL on chromosome 10 showed a pleiotropic effect on fissuring susceptibility. All milling QTL were subject to strong interactions with the environment. Environmental characterization based on daily weather records was carried out for each year–location combination. Based on factorial regression, environmental covariates incorporating humidity variation during the grain filling period explain a large part of the QTL x E interaction for individual QTLs.

Last Modified: 11/28/2014
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