的生长曲线混合非线性模型
Raimundo Nonato Colares Camargo Júnior1, Cláudio Vieira de Araújo2, Flávio Luiz de Menezes2
1Institute of Veterinary Medicine, Postgraduate Program in Animal Science (PPGCAN), Federal University of Para (UFPA), UFRA, Brazilian Agricultural Research Corporation (EMBRAPA), Castanhal, PA, Brazil.
PloS one
|June 9, 2023
概括
摩根-默瑟-弗洛丁非线性模型最好地描述了肉类的生长,确定了男性和女性的最佳屠宰时间,以提高动物产量和遗传质量.
科学领域:
- 动物科学动物科学
- 量化遗传学 量化遗传学
- 统计建模 统计建模
背景情况:
- 准确的生长曲线建模对于优化动物生产和遗传选择至关重要.
- 非线性混合模型提供了一种灵活的方法来解释增长模式的个体变化.
研究的目的:
- 评估和比较非线性混合模型来描述按性别分类的肉类长度曲线.
- 确定最适合的模型来预测最佳的屠宰时间和提高遗传质量.
主要方法:
- 利用了15002只雄性和15408只雌性的记录.
- 应用了具有固定和随机效应的非线性模型 (Brody,Gompertz,Logistic,Morgan-Mercer-Flodin,Richards,Von Bertalanffy).使用了固定和随机效应的模型.
- 采用贝叶斯信息标准 (BIC) 进行模型选择.
主要成果:
- 摩根-默塞-弗洛丁模型以非对称体重作为随机效应是最适合两性的人.
- 这种模型表明,剩余差异减少,增长预测的准确性增加.
- 雄性白比雌性表现出较低的绝对生长率和速度.
结论:
- 摩根-默瑟-弗洛丁模型为分析长生长动态提供了一个卓越的框架.
- 研究结果表明,为了最大限度地提高产量,雄性动物在晚些时候被屠宰.
- 这项研究有助于优化屠宰时间和改善的遗传种群.
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