Evaluation of Alternative Breeding Objectives Using Computer Simulation Modeling for Abergelle Goats in Tigray, Northern Ethiopia

Thu, 26 Dec 2024 00:00:00 -0500

Simulation-based genetic selection plays a vital role in designing cost-effective, practical breeding schemes that align with farmers' needs and promote goat genetic improvement. This study aimed to evaluate alternative breeding objectives for Abergelle goats in northern Ethiopia using the Zplan+ software. The breeding goal traits considered included six-month weight, pre-weaning survival rate, and kidding interval. Four alternative breeding objectives were assessed, varying in the number of traits included in the selection index, while all traits were retained in the aggregate breeding goal. Results showed minimal differences between the alternatives, with a slightly higher predicted annual genetic gain of 0.3815 kg for six-month weight when only this trait was included in the selection index (alternative 4). In comparison, alternative 1, which included all traits, resulted in a slightly lower gain of 0.3806 kg. Predicted annual genetic gains for pre-weaning survival and kidding interval ranged from 0.00107% to 0.00148% and from 0.0113 to 0.0161 years, respectively. Overall, the simulation results indicated a good range of genetic gains across the alternatives, with minimal variation. Alternative 4, which includes only six-month weight in the selection index is more practical for implementation at the farm level with minimal genetic gain loss for the selected trait. However, to ensure sustained progress, the inclusion of additional traits should be considered over time.

East African Journal of Veterinary and Animal Sciences

Evaluation of Alternative Breeding Objectives Using Computer Simulation Modeling for Abergelle Goats in Tigray, Northern Ethiopia