农业大数据学报 ›› 2020, Vol. 2 ›› Issue (4): 63-69.doi: 10.19788/j.issn.2096-6369.200408

• 专题——农业基础性长期性科技工作 • 上一篇    下一篇

我国主要肉牛品种生长曲线拟合分析

安炳星1,2,3(), 张路培1,2,3, 段星海1, 张家春1, 赵屿姗1, 熊兰玲1, 朱波1, 李岩4, 徐凌洋1, 袁维峰1, 张军民1, 李俊雅1(), 高会江1   

  1. 1.中国农业科学院北京畜牧兽医研究所,北京 100193
    2.国家肉牛遗传评估中心,北京 100193
    3.农业农村部动物遗传育种与繁殖重点实验室,北京 100193
    4.锡林郭勒盟乌拉盖管理区兽医局,乌拉盖 026321
  • 收稿日期:2021-01-04 出版日期:2020-12-26 发布日期:2021-03-11
  • 通讯作者: 李俊雅 E-mail:ABX2HF@126.com;lijunya@caas.cn
  • 作者简介:安炳星,男,博士研究生,研究方向:肉牛遗传育种; E-mail: ABX2HF@126.com
  • 基金资助:
    农业科技创新联盟建设-农业基础性长期性科研工作(Y2017LM05);国家肉牛牦牛产业技术体系岗位科学家经费(CARS-37);中央级公益性科研院所基本科研业务费专项资金项目“长期监测畜禽种质资源与育种群体性能”(2020-YWF-ZX-05)

Growth Curve Fitting Analysis of Main Beef Cattle Breeds in China

Bingxing An1,2,3(), Lupei Zhang1,2,3, Xinghai Duan1, Jiachun Zhang1, Yushan Zhao1, Lanling Xiong1, Bo Zhu1, Yan Li4, Lingyang Xu1, Weifeng Yuan1, Junmin Zhang1, Junya Li1(), Huijiang Gao1   

  1. 1.Institute of Animal Sciences, Chinese Academy of Agriculture Sciences, Beijing 100193, China
    2.National Center of Beef Cattle Genetic Evalution, Beijing 100193, China
    3.Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
    4.Veterinary Bureau of Wulagai Precinct in Xilin Gol League, Wulagai 026321, China
  • Received:2021-01-04 Online:2020-12-26 Published:2021-03-11
  • Contact: Junya Li E-mail:ABX2HF@126.com;lijunya@caas.cn

摘要: 目的

本文旨在拟合我国主要品种肉牛的生长曲线,优化体重预测模型。

方法

基于国家畜禽养殖数据中心和国家肉牛遗传评估中心收集的22个肉牛品种近6万条体重记录,本研究利用Gompertz、Logistic、Bertalanffy和Brody等四种非线性模型拟合生长发育曲线,估计模型中相应的参数,并分析了11个肉牛品种间24月龄背膘厚和眼肌面积的差异,挖掘品种特性,为后期育种选种工作提供正确的理论依据。

结果

根据模型拟合度及实际生长发育规律,为主要肉牛品种的公畜和母畜拟合了体重预测模型并估计相应参数。总的来说,各品种从初生到成熟体重呈逐增态势,整体上趋近“S”型曲线,12月龄之前增速较快,18月龄后增速减缓;公畜与母畜的发育趋势基本一致,但品种间存在一定差异,如和牛公畜前期发育速度高于安格斯牛,和牛母畜前期发育速度低于安格斯牛。结合24月龄背膘厚和眼肌面积比较,肉用型品种相较于兼用和地方黄牛品种在成熟体重和发育速度上有优势,而一些地方黄牛品种,如文山牛、渤海黑牛和南阳牛有不错的脂肪沉积能力,郏县红牛、晋南牛和三河牛表现出优良的高价值牛肉产率。

结论

本研究为我国主要肉牛品种的公畜和母畜提供了较为准确的体重预测模型,并且发现我国一些地方黄牛品种体型较小,但有较高的高价值牛肉产率。

关键词: 肉牛, 生长曲线, 背膘厚, 眼肌面积, 科学数据

Abstract: Objective

This research was conducted to fit growth curves for, and optimize body weight prediction models of, the main beef cattle breeds in China.

Methods

Based on more than 60,000 records of 22 cattle breeds collected by the National Center of Beef Cattle Genetic Evaluation, four non-linear models, namely Gompertz, logistic, von Bertalanffy and Brody, were used to fit growth curves, estimate the corresponding parameters and analyze the difference in back fat thickness and loin eye area among 11 beef cattle breeds at the age of 24 months. These models were used to determine breed characteristics and provide an accurate theoretical basis for future breeding programs.

Results

According to the R^2 and actual growth laws, the optimal weight prediction models were selected for male and female cattle and the corresponding parameters were estimated. Overall, the body weight of each breed gradually increased from birth to maturity, approaching the “S” curve. The growth rate was faster before 12 months of age, and then gradually decreased after 18 months of age. The growth trend of male and female cattle was essentially the same, but there were certain differences between breeds; for example, Wagyu bulls showed higher growth rates in early stages than Angus, and Wagyu cows showed lower growth rates in early stages than Angus. Meat-type breeds had advantages in mature weight and growth speed compared with dual purpose and local cattle breeds. When compared for back fat thickness and loin eye area at the age of 24 months, some local breeds such as Wenshan cattle, Bohai Black cattle and Nanyang cattle had greater fat deposition, and Jiaxian Red cattle, Jinnan cattle and Sanhe cattle were superior in meat production.

Conclusion

This study provides more accurate weight prediction models than were previously available for bulls and cows of the major beef cattle breeds in China. Although some local cattle breeds are small in body size, they have the potential to produce high-quality beef products.

Key words: beef cattle, growth curves, back fat thickness, loin eye area, scientific data

中图分类号: 

  • S823