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https://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: international journal of plant breeding research, 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 |
DOI: | 10.1007/s00122-007-0515-3 |
Published version: | http://www.springerlink.com/content/3156h2r0141t5034/ |
Appears in Collections: | Agriculture, Food and Wine publications Aurora harvest |
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