Center of Agrarian Sciences, Universidade Estadual do Piauí, Teresina, Piauí, Brazil.
Animal Science Department, Universidade Federal do Piauí, Teresina, Piauí, Brazil.
Trop Anim Health Prod. 2024 Jan 12;56(1):42. doi: 10.1007/s11250-023-03884-x.
Cattle weight development is highly correlated with some body measurements. Based on the relationship between morphometric measurements and body mass, our aim was to develop regression equations to estimate the body weight of Curraleiro Pé-Duro (CPD) cattle to be used in farms that lack access to weighting scales. Data from 1023 animals from four farms on withers height (WH), body length (BL), body score (BS), heart girth (HG), permanent teeth (PT), scrotal perimeter (SP), and live weight were used. The animals were classified into five categories depending on age and/or sex: newborns (NB), calves, weaned animals, cows, and bulls. The best models are GLM with Gamma, Gamma, inverse Gaussian, Gaussian, and Gamma distributions for NB, calves, weaned animals, cows, and bulls, respectively. Predictive modeling for bulls was the best performing overall, with a correlation of 0.97 between the estimated by the model and the obtained with a weighting scale. For NB, calves, weaned animals, and cows, the correlation (r) was 0.85, 0.90, 0.95, and 0.87, respectively. The evaluated models are adequate to be used as a technical solution to estimate weight in a cattle production system.
牛只体重的发育与某些体尺高度高度相关。基于形态测量与体重之间的关系，我们旨在开发回归方程来估算 Curraleiro Pé-Duro（CPD）牛的体重，以便在缺乏称重秤的农场中使用。我们使用了来自四个农场的 1023 只动物的肩高（WH）、体长（BL）、体况评分（BS）、胸围（HG）、永久齿（PT）、阴囊周长（SP）和活体重量的数据。这些动物根据年龄和/或性别分为五类：新生牛（NB）、犊牛、断奶动物、母牛和公牛。对于 NB、犊牛、断奶动物、母牛和公牛，最佳模型分别是具有伽玛、伽玛、逆高斯、高斯和伽玛分布的 GLM。对于公牛，预测模型的整体性能最佳，模型估计值与称重秤获得的值之间的相关性为 0.97。对于 NB、犊牛、断奶动物和母牛，相关性（r）分别为 0.85、0.90、0.95 和 0.87。评估的模型足以作为一种技术解决方案，用于估算牛生产系统中的体重。
