Predicting Additive and Non-additive Genetic Effects from Trials Where Traits Are Affected by Interplot Competition
- 390 Downloads
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 non-additive 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 non-additive effects. We develop the methodology in the context of a single field trial using an example from an Australian sorghum breeding program.
Key WordsMixed models Statistical analysis Variogram Spatial trends Competition Pure stand Pedigree information Parental effects
Unable to display preview. Download preview PDF.
- Butler, D. G., Cullis, B. R., Gilmour, A. R., and Gogel, B. J. (2009), “ASReml-R Reference Manual Release 3,” Technical report, QLD Department of Primary Industries and Fisheries, Brisbane, QLD. Google Scholar
- Crossa, J., de los Campos, G., Perez, P., Gianola, D., Burgueno, J., Araus, J. L., Makumbi, D., Singh, R. P., Dreisigacker, S., Yan, J., Arief, V., Banziger, M., and Braun, H.-J. (2010), “Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers,” Genetics, 186, 713–724. CrossRefGoogle Scholar
- Hunt, C., and Jordan, D. (2009), “Competition Effects in Sorghum Breeding Trials,” in 14th Australasian Plant Breeding Conference, SABRAO Journal of Breeding and Genetics, Cairns, Australia. Google Scholar
- Stringer, J. (2006), “Joint Modelling of Spatial Variability and Interplot Competition to Improve the Efficiency of Plant Improvement,” PhD thesis, The University of Qld, Brisbane. Google Scholar