GENETIC ANALYSIS OF BODY CONDITION SCORE AND PRODUCTIVE PERFORMANCE IN SHAMI DOES
DOI:
https://doi.org/10.36103/311xwy48Keywords:
Automated evaluation, Genetic parameters, milk production traits, Shami deosAbstract
This study was conducted at the Ruminant Research Station of the Agricultural Research Directorate/Ministry of Agriculture using 50 Shami goat aged 2-3 years, aimed to studying the relationship between body condition score (BCS) and productive performance in Shami goat, as well as estimating genetic parameters, artificial intelligence models (MobileNetV2 network with Transfer Learning technology) were applied in the BCS estimation. The overall average of total milk yield, lactation length and period from parturition to peak for the highest BCS group (BCS:3.5-4.5) were 225.84±24.76 kg, 216.73±7.10 days and 40.05±2.53 days, respectively, followed by the medium BCS group (BCS:2.5->3.5) 155.87±16.54 kg, 192.50±11.04 days and 35.06±2.84 days, then the low BCS group (BCS:1.5->2.5) 77.27±5.09 kg, 13.140±1.81 days and 17.67±1.07 days for the above traits and in the same previous order respectively. Milk composition was affected by in production stage and the percentage of milk components. Changes Heritability estimates ranged from 0.11 to 0.28 for BCS and milk production traits, and ranged from 0.26 to 0.51 for milk components during production. Genetic and phenotypic correlations were positive and highly significant (P≤0.01) between BCS and milk production traits, ranged from 0.59 to 0.85. The BLUP values for BCS ranged from -0.139 to 0.492. We conclude that selection based on BCS is feasible in breeding programs based on the average genetic estimates and positive genetic and phenotypic correlations with milk production traits.
Received: 16/4/2025
Accepted: 13/7/2025
Published: 31/8/2026
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