养猪场的新管理分级:使用猪尸体重量,背部脂肪厚度和k-means算法进行管理分级系统
Youngho Lim1, Jaeyoung Kim1, Gwantae Kim1
1Department of Animal Science, Chungbuk National University, Cheongju 28644, Korea.
Animal bioscience
|August 30, 2024
概括
这项研究使用聚类将养猪场分为管理等级 (A-D). 较低的等级表明猪不太统一,为改善猪肉生产和在农场层面的标准化提供了洞察力.
科学领域:
- 动物科学动物科学
- 农业管理 农业管理
- 猪肉生产 生产 猪肉生产
背景情况:
- 猪肉质量和产量的变化给猪业带来了挑战.
- 有效的农场管理策略对于优化猪生产率和统一性至关重要.
研究的目的:
- 根据猪的统一性对农场管理水平进行分类.
- 为运送非统一猪的农场开发分类系统.
- 在农场层面加强标准化猪的生产.
主要方法:
- 使用基于尸体重量和背部脂肪厚度的k-means算法将48,298头猪分成组 (A-D).
- 根据猪分组结果将农场分为农场管理等级 (A-D).
- 分析原始削减的比例,并使用回归分析来预测产量.
主要成果:
- 在原始切割比例 (肩膀叶片,肩膀野餐,火腿,腰部,腹部) 中,在不同组中观察到显著的差异.
- 原始切割生产的预测模型显示出低误差 (MAE<0.7).
- 较低的农场管理等级与尸体重量和背部脂肪厚度的变化增加相关.
结论:
- 该研究成功地发现了与猪分类相关的原始切割特征的差异.
- 建立了一个基于猪统一性的新方法来对养殖场进行分类.
- 这种分类系统为养殖场提供了有价值的指标,以提高猪标准化和生产率.
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