ArticleTropical animal health and production2026
Random regression model for growth analysis in female buffaloes.
Article in Tropical animal health and production, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
This study aimed to estimate genetic parameters for body weight in 1,949 Murrah buffalo females raised under tropical conditions. Random regression models with Legendre polynomials were used to analyze growth data. Heritability estimates increased with age, ranging from 0.058 (at 28 days of age) to 0.244 (at 693 days of age). Genetic correlations decreased as the interval between weighing ages increased, reaching 0.1916 between 30 and 720 days of age. The findings suggest that selection for growth is more effective at older ages and that random regression models provide accurate genetic evaluations for female buffaloes in tropical environments.
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