Abstract
The objective of this study was to explore genotype by environment interactions (GxE) and macro-environmental sensitivity in a multi-breed sheep population. Post-weaning weight (PWWT), post-weaning growth rate (PWGR), post-weaning scanned fat depth (PCF), carcase weight (CWT) and intra-muscular fat (IMF) were investigated. The number of sheep analysed ranged from 28,860 for PWWT to 14,969 for IMF. Environment was defined by the best linear unbiased estimation (BLUE) of contemporary group effects in an animal model, using PWGR as the response variable. Each trait was analysed using a trivariate mixed effects models which considered performance in low, average and high growth environments as separate traits. Reaction norms were also used for each trait to estimate macro-environmental sensitivity as well as provide an alternative method for estimation of GxE.
| Original language | English |
|---|---|
| Pages | 262-262 |
| Publication status | Published - 2020 |
| Event | ICQG 6: 6th International Conference on Quantitative Genetics - Online Event, Online Event Duration: 3 Nov 2020 → 13 Nov 2020 |
Conference
| Conference | ICQG 6: 6th International Conference on Quantitative Genetics |
|---|---|
| City | Online Event |
| Period | 3/11/20 → 13/11/20 |
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