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牛羊放牧采食量数学模型的理论框架与实际应用

魏玉兵 童建伟 孙鉴弘 宝塔娜 任茂源 杨城 刘强德 白玉龙 刘海波 宫旭胤 刘立山 金茜

寒旱农业科学2026,Vol.5Issue(9):795-803,9.
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寒旱农业科学2026,Vol.5Issue(9):795-803,9.DOI:10.3969/j.issn.2097-2172.2026.09.002

牛羊放牧采食量数学模型的理论框架与实际应用

Theoretical Framework and Practical Application of Mathematical Models for Cattle and Sheep Grazing Intake

魏玉兵 1童建伟 1孙鉴弘 1宝塔娜 1任茂源 2杨城 3刘强德 3白玉龙 3刘海波 3宫旭胤 4刘立山 4金茜4

作者信息

  • 1. 张掖市甘州区平山湖蒙古族乡畜牧兽医和林业草原站,甘肃 张掖 734000
  • 2. 华池县动物疫病预防控制中心,甘肃 华池 745600
  • 3. 甘肃省农业科学院农业经济与信息研究所,甘肃 兰州 730070
  • 4. 甘肃省农业科学院畜草与绿色农业研究所,甘肃 兰州 730070
  • 折叠

摘要

Abstract

Based on the major physiological mechanisms regulating feed intake in ruminants and a behavioral-ecological opti-mization framework,this study focuses on theoretical perspectives including rumen fill and chemical feedback,the hepatic oxidation theory and optimization of oxygen-use efficiency,and the minimum total discomfort theory.In conjunction with the structures and as-sumptions of intake modules embedded in representative grazing-system models such as APSIM,EcoMod,and GRAZPLAN,it system-atically reviews the principles,applicable scenarios,and limitations of empirical,mechanistic,and semi-mechanistic modeling para-digms,thereby providing a theoretical basis and operational pathways for precision grassland management,optimization of coupled grassland-livestock systems,and policy development for green livestock production.In response to key challenges including model parameterization,insufficient observational data,multi-source data integration,and model robustness under extreme climate scenari-os,several priorities are proposed for the future development of grazing-intake models for cattle and sheep including strengthening re-search on mechanisms such as vagal regulation to improve the theoretical foundation,establishing multi-level,long-term observation systems and open data platforms to address data gaps,promoting semi-mechanistic and modular model designs and developing hybrid mechanistic-data-driven modeling paradigms to enhance model applicability,integrating Internet of Things and artificial intelligence technologies to broaden application scenarios,and coupling production and environmental indicators to achieve multi-objective opti-mization.

关键词

反刍动物/放牧采食量/采食调控/放牧系统模型

Key words

Ruminant/Grazing intake/Intake regulation/Grazing system model

分类

信息技术与安全科学

引用本文复制引用

魏玉兵,童建伟,孙鉴弘,宝塔娜,任茂源,杨城,刘强德,白玉龙,刘海波,宫旭胤,刘立山,金茜..牛羊放牧采食量数学模型的理论框架与实际应用[J].寒旱农业科学,2026,5(9):795-803,9.

基金项目

甘肃省农业科学院重点研发计划(2026GAAS21) (2026GAAS21)

甘肃省科技特派员(团)专项(25CXNG006). (团)

寒旱农业科学

1001-1463

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