Abstract
This study used stochastic simulation to evaluate breeding strategies aimed at improving body weight of Lao native goats in smallholder systems while maintaining genetic diversity. Simulation reflected both traditional breeding practices and alternative strategies, including random mating, selection on phenotype, and rotational mating scenarios at herd and village level. After 20 mating cycles, traditional practices (random mating at herd level) resulted in limited body weight improvement and a high inbreeding level (0.216). Selection and rotational mating showed improvement in body weight while also affecting inbreeding level. The rotation strategy achieved the highest body weight gain (1.2 phenotypic standard deviation, PSD, units) and a relatively low inbreeding level (0.071). The genetic gain and inbreeding levels were 0.899 PSD and 0.077, respectively, for village-selection and 0.69 PSD and 0.24, respectively, for herd-selection. Overall, rotational mating significantly increased the body weight while maintaining low inbreeding, making it a promising breeding strategy for Lao farmers. For successful implementation, this approach will require pedigree and animal performance recording and active farmer participation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Twenty-sixth Conference of the Association for the Advancement of Animal Breeding and Genetics |
| Editors | Hatcher, Sue |
| Place of Publication | Armidale, Australia |
| Publisher | Association for the Advancement of Animal Breeding and Genetics (AAABG) |
| Pages | 299-302 |
| Volume | 26 |
| ISBN (Print) | 1328-3227 |
| Publication status | Published - 24 Jun 2025 |
| Event | AAABG 2025: The 26th Conference of the Association for the Advancement of Animal Breeding and Genetics - Millennium Hotel, Queenstown, New Zealand Duration: 24 Jun 2025 → 26 Jun 2025 |
Conference
| Conference | AAABG 2025: The 26th Conference of the Association for the Advancement of Animal Breeding and Genetics |
|---|---|
| City | Queenstown, New Zealand |
| Period | 24/06/25 → 26/06/25 |
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