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母牛自动化发情鉴定技术研究进展

原开敏 王玉燕 董智豪 赵羚均 许师源 吴开慧 王栋

中国畜牧兽医2023,Vol.50Issue(12):4983-4991,9.
中国畜牧兽医2023,Vol.50Issue(12):4983-4991,9.DOI:10.16431/j.cnki.1671-7236.2023.12.020

母牛自动化发情鉴定技术研究进展

A Review in the Automatic Estrus Detection of Cows

原开敏 1王玉燕 2董智豪 3赵羚均 1许师源 1吴开慧 4王栋5

作者信息

  • 1. 吉林农业大学动物科学技术学院,长春 130118||中国农业科学院北京畜牧兽医研究所,北京 100193
  • 2. 山东省滨州市阳信县畜牧兽医管理服务中心,滨州 251800
  • 3. 中国农业科学院北京畜牧兽医研究所,北京 100193||河南科技大学动物科技学院,洛阳 471203
  • 4. 吉林农业大学动物科学技术学院,长春 130118
  • 5. 中国农业科学院北京畜牧兽医研究所,北京 100193
  • 折叠

摘要

Abstract

Automatic estrus detection in cows is an essential component of modern livestock management.Efficient estrus detection methods can shorten the calving interval,reduce breeding costs,and increase reproductive efficiency.Traditional manual estrus detection is time-consuming and labor-intensive,and is no longer suitable for large-scale farming.Automated systems are the inevitable trend for estrus detection in the future.However,there are no mature automated identification systems for cows in slient estrus.Heart rate and respiratory rate are basic physiological indicators of cows,and the sexual excitement of estrus cows may cause changes in their heart rate and respiratory rate.Therefore,automated monitoring of heart rate and respiratory rate of estrus cows may become a new direction for estrus detection in the future.The author reviews the types of automated estrus detection systems for cows,introduces their related technical principles and achievements,compares the detection indicators and advantages and disadvantages of different estrus detection systems,and prospects the application prospects of new indicators for estrus detection monitoring in the future,providing a reference for related research.

关键词

母牛/自动化/发情鉴定/心率/呼吸频率/安静发情

Key words

cows/automation/estrus detection/heart rate/respiratory rate/slient estrus

分类

农业科技

引用本文复制引用

原开敏,王玉燕,董智豪,赵羚均,许师源,吴开慧,王栋..母牛自动化发情鉴定技术研究进展[J].中国畜牧兽医,2023,50(12):4983-4991,9.

基金项目

国家自然科学基金(32072739) (32072739)

北京市家畜创新团队(BAIC05-2022) (BAIC05-2022)

中国畜牧兽医

OA北大核心CSCDCSTPCD

1671-7236

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