Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials
Date
2007
Authors
Oakey, H.
Verbyla, A.
Cullis, B.
Wei, X.
Pitchford, W.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Theoretical and Applied Genetics: international journal of plant breeding research, 2007; 114(8):1319-1332
Statement of Responsibility
Helena Oakey, Arūnas P. Verbyla, Brian R. Cullis, Xianming Wei and Wayne S. Pitchford
Conference Name
Abstract
A statistical approach for the analysis of multi-environment trials (METs) is presented, in which selection of best performing lines, best parents, and best combination of parents can be determined. The genetic effect of a line is partitioned into additive, dominance and residual non-additive effects. The dominance effects are estimated through the incorporation of the dominance relationship matrix, which is presented under varying levels of inbreeding. A computationally efficient way of fitting dominance effects is presented which partitions dominance effects into between family dominance and within family dominance line effects. The overall approach is applicable to inbred lines, hybrid lines and other general population structures where pedigree information is available.
School/Discipline
Dissertation Note
Provenance
Description
© Springer The original publication can be found at www.springerlink.com