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https://hdl.handle.net/2440/23921
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Type: | Journal article |
Title: | Joint modeling of additive and non-additive genetic line effects in single field trials |
Author: | Oakey, H. Verbyla, A. Pitchford, W. Cullis, B. Kuchel, H. |
Citation: | Theoretical and Applied Genetics: international journal of plant breeding research, 2006; 113(5):809-819 |
Publisher: | Springer |
Issue Date: | 2006 |
ISSN: | 0040-5752 1432-2242 |
Statement of Responsibility: | Helena Oakey, Arūnas Verbyla, Wayne Pitchford, Brian Cullis and Haydn Kuchel |
Abstract: | Abstract A statistical approach is presented for selection of best performing lines for commercial release and best parents for future breeding programs from standard agronomic trials. The method involves the partitioning of the genetic effect of a line into additive and non-additive effects using pedigree based inter-line relationships, in a similar manner to that used in animal breeding. A difference is the ability to estimate non-additive effects. Line performance can be assessed by an overall genetic line effect with greater accuracy than when ignoring pedigree information and the additive effects are predicted breeding values. A generalized definition of heritability is developed to account for the complex models presented |
Keywords: | Triticum Models, Statistical Breeding Models, Genetic Selection, Genetic |
Description: | The original publication can be found at www.springerlink.com |
DOI: | 10.1007/s00122-006-0333-z |
Published version: | http://www.springerlink.com/content/hu3h822503238460/fulltext.html |
Appears in Collections: | Agriculture, Food and Wine publications Aurora harvest 6 |
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