实验方法与实验动物 EXPERIMENTAL METHOD AND ANIMAL

肉羊生长模型构建及生长性能预测

  • 李金辉 ,
  • 张暖暖 ,
  • 田星哲 ,
  • 田沛知 ,
  • 杨彩虹 ,
  • 陈佳欣 ,
  • 严慧 ,
  • 段春辉 ,
  • 郭云霞 ,
  • 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,动物科学专业。E-mail:lijinhui80232020@163.com

收稿日期: 2021-04-08

  网络出版日期: 2021-11-10

Construction of Growth Model of Mutton Sheep and Prediction of Growth Performance

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

Received date: 2021-04-08

  Online published: 2021-11-10

Supported by

 

摘要

本研究拟采用Meta分析方法探究肉羊生长曲线模型和影响因素(性别、品种等),并进行生长性能预测。通过Web of Science、PubMed、中国知网(CNKI)、万方等中外文数据平台,检索2000年1月至2020年5月期间关于肉羊生长曲线的中英文文献,搜集整理有关肉羊生长曲线模型的数据后,利用R-4.0.0软件进行方差倒数法Meta分析。共纳入文献26篇,得到基于Gompertz模型的肉羊生长曲线数据62组。结果表明:肉羊生长曲线Gompertz模型的参数A (成年体重)为46.67[95%置信区间(95% CI)(44.48,48.86)],参数B (调节参数)为2.22[95% CI (2.15,2.30)],参数K (瞬时相对生长速率)为0.010 6[95% CI (0.009 9,0.011 4)];品种和性别均会对肉羊生长曲线参数产生显著影响(P<0.05),但不同品种和性别肉羊的相对体成熟度(RM)具有稳健性;基于肉羊RM的肉羊生长性能预测公式为:平均日增重=-A×0.010 6×RM×lnRM,该模型可解释98%的平均日增重变异,预测偏倚为14.13 g/d,预测误差为33%。由此可见,品种和性别对肉羊的生长曲线有显著影响,基于肉羊RM的预测模型可准确预测不同品种和性别肉羊的实时生长性能。

本文引用格式

李金辉 , 张暖暖 , 田星哲 , 田沛知 , 杨彩虹 , 陈佳欣 , 严慧 , 段春辉 , 郭云霞 , 刘月琴 , 纪守坤 , 张英杰 . 肉羊生长模型构建及生长性能预测[J]. 动物营养学报, 2021 , 33(11) : 6462 -6473 . DOI: 10.3969/j.issn.1006-267x.2021.11.045

Abstract

In this study, a Meta-analysis method was used to explore the growth model and influencing factors (gender, breed, etc.), and forecast the growth performance of mutton sheep. By researching the Web of Science, PubMed, CNKI and Wanfang and other Chinese and foreign language data platforms database, the relevant Chinese and English literatures from January 2000 to May 2020 on the growth curve of mutton sheep were selected, then the data about the growth curve model were collected, and the Meta-analysis was carried out by using R-4.0.0 software. A total of 26 literatures were included, and 62 groups of growth curve based on Gompertz model were obtained. The results showed that the parameter A (adult weight) of Gompertz model was 46.67[95% confidence interval (CI) (44.48, 48.86)], the parameter B (adjustment parameter) was 2.22[95% CI (2.15, 2.30)], and the parameter K (instantaneous relative growth rate) was 0.010 6[95% CI (0.009 9,0.011 4)]. Both breed and gender have significant influence on the growth curve parameters of mutton sheep (P<0.05), but the index of relative maturity (RM) of mutton sheep of different breeds and genders is robust. The formula for growth performance of mutton sheep based on the RM of mutton sheep was:average daily gain=-A×0.010 6×RM×lnRM, which could explain 98% of the variation of average daily gain, with a prediction bias of 14.13 g/d and a prediction error of 33%. In conclusion, breed and gender have a significant impact on the growth curve of mutton sheep, the prediction model based on RM of mutton sheep can accurately predict the real-time growth performance of mutton sheep with different breeds and genders.

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