研究论文 RESEARCH PAPER

基于Meta分析的母羊泌乳模型构建及泌乳性能预测

  • 李金辉 ,
  • 陈佳欣 ,
  • 王里彦 ,
  • 杨彩虹 ,
  • 田星哲 ,
  • 田沛知 ,
  • 严慧 ,
  • 刘月琴 ,
  • 纪守坤 ,
  • 张英杰
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  • 河北农业大学动物科技学院, 保定 071000
李金辉(1996-),男,甘肃甘谷人,硕士研究生,动物营养与饲料科学专业。E-mail:lijinhui80232020@163.com

收稿日期: 2021-07-22

  网络出版日期: 2022-02-15

基金资助

河北省重点研发(农业高质量发展关键共性技术攻关专项)项目(19226627D);河北省自然科学基金青年基金项目(C2020204181);国家肉羊产业技术体系(CARS-39)

Establishment of Lactation Model Based on Meta-Analysis and Lactation Performance Prediction

  • LI Jinhui ,
  • CHEN Jiaxin ,
  • WANG Liyan ,
  • YANG Caihong ,
  • TIAN Xingzhe ,
  • TIAN Peizhi ,
  • YAN Hui ,
  • LIU Yueqin ,
  • JI Shoukun ,
  • ZHANG Yingjie
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  • College of Animal Science and Technology, Hebei Agricultural University, Baoding 071000, China

Received date: 2021-07-22

  Online published: 2022-02-15

摘要

母羊泌乳量不仅关乎母羊自身营养需求,也是影响羔羊生长发育的重要因素,准确预测母羊泌乳量在母羊和羔羊精准饲养中具有现实意义。本文利用方差倒数Meta分析方法研究母羊泌乳曲线模型及泌乳参数,并对其泌乳性能进行预测。分别在Web of Science、CNKI等文献数据库中检索母羊泌乳曲线及影响因素的相关文献,依据纳入标准筛选和提取泌乳曲线相关参数,采用方差倒数Meta分析方法进行合并,综合评估母羊泌乳曲线及其影响因素。共纳入文献22篇,提取数据98条。结果显示:山羊泌乳曲线模型为y=0.943 8t0.359 9e(-0.008 5t,绵羊为y=0.677 2t0.349 4e(-0.014 0t,乳用山羊为y=1.143 7t0.318 7e(-0.008 0t,非乳用山羊为y=0.419 0t0.468 1e(-0.011 8t,乳用绵羊为y=0.796 8t0.256 2e(-0.009 0t,非乳用绵羊为y=0.570 0t0.441 0e(-0.026 0t,其中y为预测泌乳量(kg/d),t为泌乳天数(d),e为自然数(2.718 3),模型参数具有较高的稳健性(敏感性<5%)。山羊、绵羊、乳用山羊、非乳用山羊、乳用绵羊和非乳用绵羊初乳产量(产后第1天泌乳量)分别为0.94、0.67、1.13、0.41、0.79和0.55 kg,泌乳峰值时间分别在泌乳期第42.34天、第25.00天、第39.84天、第39.67天、第28.47天和第16.96天,峰值泌乳量分别为2.54、1.47、2.69、1.47、1.45和1.28 kg,泌乳持续力分别为6.48、5.76、6.37、6.52、5.92和5.26。本研究获得了山羊、绵羊、乳用山羊、非乳用山羊、乳用绵羊和非乳用绵羊泌乳量预测模型及其泌乳参数,为泌乳母羊和哺乳期羔羊精准饲养提供了基础数据。

本文引用格式

李金辉 , 陈佳欣 , 王里彦 , 杨彩虹 , 田星哲 , 田沛知 , 严慧 , 刘月琴 , 纪守坤 , 张英杰 . 基于Meta分析的母羊泌乳模型构建及泌乳性能预测[J]. 动物营养学报, 2022 , 34(2) : 1343 -1351 . DOI: 10.3969/j.issn.1006-267x.2022.02.066

Abstract

The milk yield of ewes is not only related to the nutritional requirement of ewes, but also an important factor affecting the growth and development of lambs. It is of great importance to accurately predict the milk yield of ewes in the balance nutrition of ewes and lambs. In this paper, Meta-analysis method was used to study the lactation curve model of ewes and lactation parameters, thus to predict the lactation performance. The related literatures related to ewe lactation curve were searched in the literature databases such as Web of Science and CNKI, and the parameters of lactation curve were screened and extracted according to the inclusion criteria. The Meta-analysis method was used to combine and comprehensively evaluate the lactation curve and its influencing factors of ewes. A total of 22 literatures were included and 87 groups of data were extracted. The results showed that the lactation curve model for goats was y=0.943 8t0.359 9e(-0.008 5t), for sheep was y=0.677 2t0.349 4e(-0.014 0t), for dairy goats was y=1.143 7t0.318 7e(-0.008 0t), for non-dairy goats was y=0.419 0t0.468 1e(-0.011 8t), for dairy sheep was y=0.796 8t0.256 2e(-0.009 0t) and for non-dairy sheep was y=0.570 0t0.441 0e(-0.026 0t). In the lactation curve models, y was y predicted milk yield (kg/d), t was days of milk (d), e was natural number (2.718 3). The model parameters was with high robustness (sensitivity<5%). The colostrum yield (milk yield at day 1 of postpartum) of goats, sheep, dairy goats, non-dairy goats, dairy sheep and non-dairy sheep was 0.94, 0.67, 1.13, 0.41, 0.79 and 0.55 kg, respectively; the peak lactation time was days 42.34, 25.00, 39.84, 39.67,28.47 and 16.96, respectively; the peak milk yield was 2.54, 1.47, 2.69, 1.47, 1.45 and 1.28 kg, respectively; and the lactation persistence was 6.48, 5.76, 6.37, 6.52, 5.92 and 5.26, respectively. The lactation curves of Wood models in goat, sheep, dairy goats, non-dairy goats, dairy sheep and non-dairy sheep are achieved based on Meta-analysis, and the lactation parameters of different types of ewes are obtained in this study, which provide basic information for nutrition balance in lactating ewes and pre-weaning lambs.

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