在商业条件下对多重线性回归和主要组件的综合分析,用于预测在肉中的绩效指标
Roberto C Freitas1, Arele A Calderano2, Carlos H Oliveira2
1Department of Animal Science, São Paulo State University, Araçatuba, SP 16050-680, Brazil.
Poultry science
|September 12, 2025
概括
雄性肉和中等种群密度的肉提高了性能. 夏季安置促进了增长,但温暖季节的传统住房减少了增长. 最佳的肉管理平衡了这些因素,提高了生产效率.
科学领域:
- 动物科学动物科学
- 养家禽生产 养家禽生产
- 农业管理 农业管理
背景情况:
- 肉的表现受到许多生物学,环境和管理因素的影响.
- 了解这些影响对于优化商业肉生产至关重要.
- 以前的研究往往只关注单一的因素,缺乏全面的分析.
研究的目的:
- 评估生物,环境和管理变量对 brojler 性能特征的影响.
- 确定体重,料转化和生产效率的关键驱动因素.
- 提供数据驱动的洞察力,以加强商业 brojler养殖实践.
主要方法:
- 利用一个大型数据集 (4,842群) 来自商业肉运营 (Ross 95,Cobb 500) 跨越2019-2022.
- 用多重线性回归和主要组件分析 (PCA) 来进行数据分析.
- 通过逐步逆向回归选择预测因素,并使用10倍交叉验证验证验证模型.
主要成果:
- 雄性肉的体重 (BW) 和生产效率指数 (PEI) 比雌性肉要高得多.
- 增加牲畜密度与BW和PEI正相关;屠宰42天后减少PEI.
- 夏季安置改善了BW和PEI,而春夏期间的传统住房对业绩产生了负面影响.
结论:
- 与只有雌性群体相比,雄性和混合性群体表现优越.
- 优化牲畜密度和屠宰年龄是改善结果的关键管理杆.
- 季节性影响是显著的,夏季安置通常是有益的,尽管住房类型的相互作用需要仔细考虑.
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