Sánchez-Esquiliche Fernando, Ferreira Chelo, Nieto Rosa, Ramírez Luisa, Matos Gema, Muniesa Ana
Sánchez Romero Carvajal, SRC, Jabugo, 21290 Huelva, Spain.
Department of Animal Pathology, Facultad de Veterinaria, Universidad de Zaragoza, 50013 Zaragoza, Spain.
Animals (Basel). 2024 Nov 27;14(23):3431. doi: 10.3390/ani14233431.
The growth of animals is influenced by various factors including genetics, nutrition, and environmental conditions. This study focuses on understanding the traditional growth phases of Iberian pigs raised in semi-free-range environments prior to the finishing period within the Mediterranean forest. Using a comprehensive dataset of 5329 pigs, we evaluated the abilities of several mathematical models to predict growth patterns during the early growing and pre-finishing phases. The Gompertz model demonstrated the best fit for the age-weight relationship, indicating its effectiveness in characterizing growth dynamics in these animals. A novel compartmental mathematical model was developed, which integrates age-based estimations for certain body components (protein, water, and ash) with linear body weight predictions for fat. Our findings indicate that this mechanistic model serves as an effective tool for understanding and optimizing management strategies and enhancing growth predictions in traditional pig breeds.
动物的生长受到多种因素的影响，包括遗传、营养和环境条件。本研究着重于了解在地中海森林中育肥期之前，在半自由放养环境中饲养的伊比利亚猪的传统生长阶段。利用包含5329头猪的综合数据集，我们评估了几种数学模型预测早期生长和育肥前期生长模式的能力。冈珀茨模型对年龄与体重的关系拟合效果最佳，表明其在描述这些动物生长动态方面的有效性。我们开发了一种新型的 compartmental 数学模型，该模型将某些身体成分（蛋白质、水和灰分）基于年龄的估计与脂肪的线性体重预测相结合。我们的研究结果表明，这种机理模型是理解和优化管理策略以及增强传统猪品种生长预测的有效工具。
