尿液,唾液和血清代谢学预测使用机器学习建模的母猪生殖潜力状况
Lauren Fletcher1, Dan Tulpan1, Julang Li1
1Department of Animal Biosciences, University of Guelph, Ontario N1G 2W1, Canada.
尿液和唾液的代谢分析,结合机器学习 (ML),可以准确地预测母猪的生殖潜力. 这种方法有助于改善母猪保留和杀决策,以提高猪肉行业的利能力.
科学领域:
- 动物科学动物科学
- 生物化学 生物化学
- 数据科学数据科学数据科学
背景情况:
- 猪肉行业的利能力取决于养殖群的生产力.
- 评估母猪生殖潜力的传统方法存在局限性.
- 糟糕的生殖表现导致高除率和经济损失.
研究的目的:
- 研究使用代谢分析和机器学习 (ML) 来预测母猪的生殖潜力.
- 确定与高生殖潜力 (HRP) 和不孕不育 (INF) 相关的关键代谢生物标志物.
主要方法:
- 从HRP和INF母猪收集了尿液,唾液和血清样本.
- 向液体染色学和质谱学用于代谢分析.
- 用ML算法分析了新陈代谢数据,包括后勤回归.
主要成果:
- 基于尿液的逻辑回归实现了F1得分为0.90 ± 0.03.
- 基于唾液的逻辑回归实现了F1得分为0.94 ± 0.04.
- 发现的关键生物标志物包括特定的卡尼丁,氨基酸和脂.
结论:
- 代谢概况结合ML准确预测母猪的生殖潜力.
- 这种方法可以改善母猪保留和杀策略,提高生产力和利能力.
- 建议在商业环境中进一步验证.
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