ARS | Publication request: MIXED MODEL BASED CONDITIONAL ANALYSIS FOR COMPLEX TRAITS

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.