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Title:   Author  item
                                            WU, JIXIANG - MISSISSIPPI STATE UNIVitem
                                            Jenkins, Johnieitem
                                            McCarty, Jack
  Submitted to: National Cotton Council Beltwide Cotton Conference
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 1/4/2005
                                    Publication  Date: 6/1/2005
                                    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.Interpretive Summary:
                                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.


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