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A genome scan for quantitative trait locus by environment interactions for production traits
M Lillehammer1, M Arnyasi, S Lien
1Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, N-1432 As, Norway. marie.lillehammer@umb.no
Journal of Dairy Science
|June 22, 2007
Summary
Researchers identified quantitative trait loci (QTL) with interaction effects on milk and protein yields in cattle. Random regression models successfully detected these genotype by environment interactions, crucial for improving breeding strategies.
Area of Science:
- Animal Genetics
- Quantitative Genetics
- Livestock Breeding
Background:
- Genotype by environment (GxE) interactions are common in milk production traits.
- Understanding GxE interactions is vital for enhancing the power of quantitative trait loci (QTL) detection.
Purpose of the Study:
- To detect QTL exhibiting interaction effects with the production environment for milk, protein, and fat yields.
- To investigate the utility of random regression models in identifying GxE interactions.
Main Methods:
- QTL analyses were performed incorporating GxE interactions for milk, protein, and fat yields.
- Random regression models were employed to model QTL effects based on within-herd production levels.
- All autosomes, excluding Bos taurus autosome 6, were analyzed.
Main Results:
- Five QTL were identified for milk yield, with two showing suggestive linkage and interaction effects.
- Three QTL for protein yield displayed suggestive linkage and interaction effects with production level.
- No significant interaction effects were detected for fat yield QTL.
Conclusions:
- The study confirms the existence of GxE interactions for milk and protein yields in cattle.
- Random regression models are effective in detecting GxE interactions when environment is defined by herd production level.
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