通过特征工程和整体方法的人工智能方法,描绘了肠微生物组对乳牛料效率的贡献
Hugo F Monteiro1, Caio C Figueiredo2,3, Bruna Mion4
1Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, 95616, Davis, CA, USA.
Animal microbiome
|February 6, 2024
概括
肠微生物组显著影响奶牛的料效率,特定的微生物与更好或更差的摄入量有关. 了解这些微生物可以减少料消费和温室气体排放,提高奶牛场的可持续性.
科学领域:
- 动物营养和微生物学
- 农业中的人工智能
- 动物遗传学和可持续发展
背景情况:
- 奶牛农场的目标是通过提高料和牛奶生产效率来实现可持续性.
- 料成本和肠道发酵 (温室气体的来源) 是主要问题.
- 了解料效率的驱动因素,特别是肠微生物群,至关重要.
研究的目的:
- 探索肠微生物组对乳牛料和牛奶生产效率的预测能力.
- 使用人工智能识别料效率的关键微生物驱动因素.
- 评估提高料效率对奶牛场碳足迹的潜在影响.
主要方法:
- 利用人工智能方法与特征工程和整体方法.
- 分析了454只基因型为荷尔斯坦牛的数据,并测量了料和牛奶生产效率的表型.
- 调查了小肠微生物组合和剩余料摄入量 (RFI) 之间的关联.
主要成果:
- 肠微生物组解释了剩余料摄入量 (RFI) 的36%的变化,这是一个关键的料效率指标.
- 在更高料效率的奶牛中观察到较低的α-多样性指标.
- [Ruminococcus] gauvreauii群与料效率有积极的关联,而其他七种类型与低效率有关.
- 乳液微生物群对牛奶脂肪和蛋白质生产效率的不明原因变异产生影响.
结论:
- 乳头微生物组是乳牛料效率的主要驱动因素.
- 的微生物洞察力可以指导改善料效率的选择,可能减少饮食摄入量和甲排放.
- 整合人工智能,微生物学和营养促进了对可持续奶牛养殖的理解.
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