Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/44311
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Type: Journal article
Title: Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials
Author: Oakey, H.
Verbyla, A.
Cullis, B.
Wei, X.
Pitchford, W.
Citation: Theoretical and Applied Genetics, 2007; 114(8):1319-1332
Publisher: Springer
Issue Date: 2007
ISSN: 0040-5752
1432-2242
Statement of
Responsibility: 
Helena Oakey, Arūnas P. Verbyla, Brian R. Cullis, Xianming Wei and Wayne S. Pitchford
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.
Keywords: Saccharum; Crops, Agricultural; Models, Statistical; Pedigree; Breeding; Hybridization, Genetic; Inbreeding; Environment; Genes, Dominant; Phenotype; Quantitative Trait Loci; Models, Genetic
Description: © Springer The original publication can be found at www.springerlink.com
RMID: 0020070822
DOI: 10.1007/s00122-007-0515-3
Published version: http://www.springerlink.com/content/3156h2r0141t5034/
Appears in Collections:Agriculture, Food and Wine publications

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