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基于生产性能测定的青海多胎藏羊生长曲线模型优化

张庆旭 孙武 金夏阳 马世科 马玉红

中国畜禽种业2026,Vol.22Issue(3):93-98,6.
中国畜禽种业2026,Vol.22Issue(3):93-98,6.

基于生产性能测定的青海多胎藏羊生长曲线模型优化

Optimization of growth curve model for Qinghai multiparous tibetan sheep based on production performance measurement

张庆旭 1孙武 1金夏阳 1马世科 1马玉红1

作者信息

  • 1. 青海大学畜牧兽医科学院,青海西宁 810016||农业农村部青藏高原畜禽遗传育种重点实验室,青海西宁 810016||青海省高原家畜遗传资源保护与创新利用重点实验室,青海西宁 810016
  • 折叠

摘要

Abstract

In order to explore the growth and development law of multi-birth Tibetan sheep at the age of 1~6 months and provide a basis for their scientific breeding and feeding management,the 1,3,4,5,6 month-old multi-birth Tibetan lambs in the Plateau Modern Ecological Animal Husbandry Demonstration Park in Haiyan County,Haibei Prefecture,Qinghai Province were selected to body weight,body height,body length and chest circumference,and the growth curve model was constructed by correlation analysis and polynomial regression.The results showed that the correlation coefficients between the indexes were ≥ 0.94 with the increase of monthly age.The first-order polynomial regression model(y=-0.47+0.23A+0.08H+0.11L+0.10C)with monthly age,body height,body length and chest circumference as independent variables was verified by 5-fold cross-verification R2=0.8793 and RMSE=0.98 kg,which had strong generalization ability and could accurately predict the weight of 1~6 months old lambs.The constructed growth model accounted for 87.93%of the body weight variation and could accurately simulate the early growth and development patterns of Qinghai multi-fetal Tibetan sheep.

关键词

青海多胎藏羊/生产性能/相关分析/生长模型/体重预测

Key words

Qinghai multi-fetal Tibetan sheep/Production performance/Correlation analysis/Growth model/Body weight prediction

分类

农业科技

引用本文复制引用

张庆旭,孙武,金夏阳,马世科,马玉红..基于生产性能测定的青海多胎藏羊生长曲线模型优化[J].中国畜禽种业,2026,22(3):93-98,6.

基金项目

国家现代农业产业技术体系项目(CARS-39-35) (CARS-39-35)

青海省科技厅应用基础研究项目(2025-ZJ-719) (2025-ZJ-719)

青海省中青年科技人才托举工程项目(2023QHSKXRCTJ17) (2023QHSKXRCTJ17)

农业农村部青藏高原畜禽遗传育种重点实验室开放课题(2025-PLGB-06). (2025-PLGB-06)

中国畜禽种业

1673-4556

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