畜牧兽医学报 ›› 2024, Vol. 55 ›› Issue (10): 4500-4516.doi: 10.11843/j.issn.0366-6964.2024.10.022

• 营养与饲料 • 上一篇    下一篇

快速型黄羽肉鸡生长模型及营养沉积规律的研究

勾丹1,2(), 赵昀杰1,2, 常棋1,2, 卓新雄3, 肖健3, 张海涵1,2, 贺喜1,2, 宋泽和1,2,*()   

  1. 1. 湖南农业大学动物科学技术学院, 长沙 410128
    2. 湖南省家禽安全生产工程技术研究中心, 长沙 410128
    3. 湖南湘佳牧业股份有限公司, 常德 415305
  • 收稿日期:2023-12-18 出版日期:2024-10-23 发布日期:2024-11-04
  • 通讯作者: 宋泽和 E-mail:goudan202203@163.com;zehesong111@163.com
  • 作者简介:勾丹(1997-), 女, 新疆阿克苏人, 硕士生, 主要从事家禽营养需要研究, E-mail: goudan202203@163.com
  • 基金资助:
    国家重点研发计划(2021YFD1300404);国家现代农业产业技术体系(CARS-41-Z08);湖南省家禽产业技术体系

Study on Growth Model and Nutrient Deposition Pattern of Rapidly-growing Yellow-feathered Chickens

Dan GOU1,2(), Yunjie ZHAO1,2, Qi CHANG1,2, Xinxiong ZHUO3, Jian XIAO3, Haihan ZHANG1,2, Xi HE1,2, Zehe SONG1,2,*()   

  1. 1. College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
    2. Hunan Poultry Safe Production Engineering and Technology Research Center, Changsha 410128, China
    3. Hunan Xiang Jia Husbandry Limited by Share Ltd, Changde 415305, China
  • Received:2023-12-18 Online:2024-10-23 Published:2024-11-04
  • Contact: Zehe SONG E-mail:goudan202203@163.com;zehesong111@163.com

摘要:

旨在研究0~56日龄快速型黄羽肉鸡湘佳黄鸡2号的生长规律及营养物质动态沉积规律,构建体重、日增重的生长曲线以及能量、体蛋白、体脂肪、总氨基酸等养分的沉积模型,为快速型黄羽肉鸡的精准饲养提供科学依据。本研究选择同批次出雏、健康的0日龄快速型黄羽肉鸡湘佳黄鸡2号672只(公母各半),于第0、7、14、21、28、35、42、49、56日龄分别对公鸡和母鸡进行生长性能及体成分测定。结果发现,随日龄增加,湘佳黄鸡2号公鸡和母鸡的体重、空体重、羽毛重、日增重、能量沉积量、体蛋白沉积量、体脂肪沉积量和总氨基酸沉积量均显著升高(P < 0.001)。分别采用Gompertz、Logistic和Bertalanffy三种非线性函数对体重、日增重和能量、体蛋白、体脂肪及总氨基酸等养分的重量进行拟合,根据回归模型的决定系数、残差平方和、均方误差和赤池信息准则的值判断模型准确性,结果表明,Gompertz模型对各项指标的拟合准确性最高。利用Gompertz函数公式,拟合并建立了湘佳黄鸡2号体重和日增重的生长曲线,同时构建了能量、体蛋白、体脂肪及总氨基酸的重量的生长或沉积模型。本研究发现,Gompertz模型能精准预测湘佳黄鸡2号的体重、日增重及体成分的需要量增长规律,这为湘佳黄鸡2号的能量、脂肪、蛋白质和氨基酸的动态需要量研究和精准饲养提供了数据支撑。

关键词: 快速型黄羽肉鸡, 生长曲线, 体成分, 非线性拟合, 生长模型

Abstract:

The purpose of this study was to investigate the growth pattern and dynamic nutritional deposition pattern of rapidly-growing yellow-feathered chickens (Xiangjia Yellow Chicken No.2) at 0-56 days of age. Aim to establish growth curves of body weight(BW) and average daily gain(ADG), deposition models of energy(TE), body protein(BP), body fat(BF), total amio acids(TAA). In order to provide scientific proof for accurate feeding of rapidly-growing yellow-feathered chickens. In this study, 672 healthy 0-day-old rapidly-growing yellow-feathered chickens (No.2 Xiangjia, half male half female) were selected from the same batch of chicks. The growth performance indexes and body composition of male or female chickens were measured at the 0th, 7th, 14th, 21st, 28th, 35th, 42nd, 49th, and 56th days of age. The results showed that BW, empty weight (EW), feather weight (FW), ADG, and the deposition of TE, BP, BF and TAA of chickens were significantly increased with the age (P < 0.001). The growth curves of BW, EW, FW and ADG, and the model for the weights and deposition of TE, BP, BF, and TAA were used to fit by three non-linear regression model, Gompertz, Logistic and Bertalanffy.Based on the coefficients of determination, residual sum of squares, mean squared error and the red pool information criterion of the regression model, the Gompertz model was more accurate than Logistic or Bertalanffy model. Using the Gompertz function equation, growth curves for BW, ADG, and the model for deposition of TE, BP, BF and TAA were developed for the Xiangjia No.2 yellow-feathered chickens. In conclusion, Gompertz model can accurately predict BW, ADG and the nutrient weights and deposition of the Xiangjia No.2 yellow feathered chicken, and also provide a basis for the study of its nutrient dynamic requirements and precise feeding.

Key words: rapidly-growing yellow-feathered chickens, growth curve, body composition, non-linear regression model, growth model

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