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United States Department of Agriculture

Agricultural Research Service

Title: Mixed Model Based Conditional Analysis for Complex Traits

Authors
item Wu, Jixiang - MISSISSIPPI STATE UNIV
item Jenkins, Johnie
item McCarty, Jack

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Abstract Only
Publication Acceptance Date: January 4, 2005
Publication Date: June 1, 2005
Citation: Wu, J., Jenkins, J.N., McCarty Jr., J.C. 2005. Mixed model based conditional analysis for complex traits [abstract]. National Cotton Council Beltwide Cotton Conference. p. 1010.

Technical Abstract: Many cotton complex traits like yield and plant height are determined by several component traits. Usually these traits are measured under a specific experimental design (i.e. RCB design) and a specific genetic model (additive and dominance model). We used the conditional model in conjunction with mixed linear model approaches which is helpful to plant breeders in dissecting the relationships between a complex trait and its component traits. In this presentation, we extended the use of mixed model based conditional analysis to more general cases such as genotype by environment (G×E) interaction models, additive-dominance (AD) models, and additive-dominance and additive × additive (ADAA) models, etc. The software package for this analysis has been developed and is available for use. We will demonstrate the use of the software package in this presentation.

Last Modified: 7/22/2014
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