Predicting Additive and Nonadditive Genetic Effects from Trials Where Traits Are Affected by Interplot Competition
 Colleen H. Hunt,
 Alison B. Smith,
 David R. Jordan,
 Brian R. Cullis
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There are two key types of selection in a plant breeding program, namely selection of hybrids for potential commercial use and the selection of parents for use in future breeding. Oakey et al. (in Theoretical and Applied Genetics 113, 809–819, 2006) showed how both of these aims could be achieved using pedigree information in a mixed model analysis in order to partition genetic effects into additive and nonadditive effects. Their approach was developed for field trial data subject to spatial variation. In this paper we extend the approach for data from trials subject to interplot competition. We show how the approach may be used to obtain predictions of pure stand additive and nonadditive effects. We develop the methodology in the context of a single field trial using an example from an Australian sorghum breeding program.
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 Title
 Predicting Additive and Nonadditive Genetic Effects from Trials Where Traits Are Affected by Interplot Competition
 Journal

Journal of Agricultural, Biological, and Environmental Statistics
Volume 18, Issue 1 , pp 5363
 Cover Date
 20130301
 DOI
 10.1007/s1325301201177
 Print ISSN
 10857117
 Online ISSN
 15372693
 Publisher
 SpringerVerlag
 Additional Links
 Topics
 Keywords

 Mixed models
 Statistical analysis
 Variogram
 Spatial trends
 Competition
 Pure stand
 Pedigree information
 Parental effects
 Authors

 Colleen H. Hunt ^{(1)} ^{(2)}
 Alison B. Smith ^{(3)}
 David R. Jordan ^{(4)}
 Brian R. Cullis ^{(3)} ^{(5)}
 Author Affiliations

 1. Queensland Department of Agriculture, Fisheries and Forestry, Hermitage Research Station, 604 Yangan Rd, Warwick, Qld, 4370, Australia
 2. The University of Queensland School of Agriculture and Food Science, Brisbane, Australia
 3. School of Mathematics and Applied Statistics, Faculty of Informatics, University of Wollongong, Wollongong, Australia
 4. Queensland Alliance for Agriculture and Food Innovation, Hermitage Research Station, 604 Yangan Rd, Warwick, Qld, 4370, Australia
 5. Mathematics Informatics and Statistics, CSIRO, Clayton, Australia