评估一种精准养决策支持系统,以提高商业养殖场养殖成品猪的生长性能
V L Sacanell1, L M Plà-Aragonés2, J Pomar3
1Research Group in AgroICT & Precision Agriculture (GRAP), Department of Agricultural and Forest Sciences and Engineering (DCEFA), Universitat de Lleida, Lleida, Spain; Agrotecnio-CERCA Center, Lleida, Spain.
Animal : an international journal of animal bioscience
|February 10, 2026
概括
使用决策支持系统 (DSS) 的精准养优化了猪的营养利用. 这种系统改善了较轻和较重的猪的生长,提高了农场的整体效率.
科学领域:
- 动物科学动物科学
- 农业工程 农业工程
- 营养生理学 营养生理学
背景情况:
- 优化屠宰重量是高效全面养猪的关键.
- 批次内的增长变化使统一的营销和农场管理变得复杂.
- 需要精确的养策略来减少异质性并提高性能.
研究的目的:
- 开发和评估精准养的决策支持系统 (DSS),以减少猪生长的变化.
- 为了提高体重 (BW) 性能和营养利用效率.
- 评估个人精密料 (IPF) 的商业可行性和经济影响.
主要方法:
- 一个为期103天的商业试验,将传统的三相养与使用机器人养器的个人精密养 (IPF) 进行比较.
- 该DSS整合了营养,质量和利益相关者模型,以计算实时猪需求.
- 根据BW和料摄入数据,饮食是通过混合高和低标准化质可消化素 (SID Lys) 料来制定的.
主要成果:
- 与对照组 (19.67-19.71 g/kg) 相比,IPF猪显示SID Lys利用率有所改善 (18.55 g/kg).
- 在重 (4.2-6.8公斤) 和轻体 (LBW) 猪 (2.6-4.3公斤) 中,IPF提高了生长性能,在LBW猪中具有更大的均性.
- 整体批量变化仍然相似,但IPF优化了人口极端的增长.
结论:
- DSS可用于准确猪的实时商业应用.
- IPF提高了营养利用效率,并优化了BW分布极端的猪的生长.
- 系统的利能力是由输出最大化驱动的,尽管在这个试验中没有直接的料成本节省.
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