An application of modified Logistic and Gompertz growth models in Japanese quail

被引:0
|
作者
Uckardes, F. [1 ]
Narinc, D. [2 ]
机构
[1] Adiyaman Univ, Fac Med Biostat & Med Informat, TR-02100 Adiyaman, Turkey
[2] Adiyaman Univ, TR-02100 Adiyaman, Turkey
来源
INDIAN JOURNAL OF ANIMAL SCIENCES | 2014年 / 84卷 / 08期
关键词
Gompertz; Logistic; Model Modification; Japanese Quail; DIVERGENT SELECTION; CURVE PARAMETERS; WEIGHTS; SHAPE; AGE;
D O I
暂无
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Growth functions describe body weight changes overtime, allowing information from longitudinal measurements to be combined into a few parameters with biological interpretation. The Gompertz and Logistic models, which have three parameters (A: asymptotic body weight, b: shape parameter,c: constant of average growth rate), have been used extensively in poultry species to describe the development of body weight. The first aim of this study was to gain new two parameters that are called hatching body weight (A) and maximum growth rate (p) these parameters which are important for animal breeding to the Logistic and Gompertz models respectively. Furthermore, the second aim of this study was to reveal similarities and differences of both models in growth data of Japanese quail by using various goodness of fit criteria and residual analysis. The growth data of 64 mixed sex Japanese quail consisted of individual live weights of 3-day intervals from hatching (day 0) to 42 days of age. The parameters lambda, A and p of the Gompertz and Logistic models were estimated as, 8.71, 242.10, 6.00 g and 14.71, 208.44, 6.50 g, respectively. As a result of the goodness of fit criteria and residuals analysis, the Gompertz model indicates a much better fit than the Logistic model to Japanese quail data set. According to the results, transformed Gompertz and Logistic models are not only more profitable for poultry species but also more useful for other livestock species such as goat, sheep and cattle.
引用
收藏
页码:903 / 907
页数:5
相关论文
共 50 条
  • [21] Development of Mathematical Models and Application of the Modified Gompertz Model for Designing Batch Biogas Reactors
    Chukwutem Newton Etuwe
    Yusuf Omodia Lucky Momoh
    Elijah Tamuno Iyagba
    Waste and Biomass Valorization, 2016, 7 : 543 - 550
  • [22] An evaluation of the extended logistic, simple logistic, and gompertz models for forecasting short lifecycle products and services
    Trappey, Charles V.
    Wu, Hsin-ying
    COMPLEX SYSTEMS CONCURRENT ENGINEERING: COLLABORATION, TECHNOLOGY INNOVATION AND SUSTAINABILITY, 2007, : 793 - +
  • [23] Rapid parameter estimation of modified Gompertz and Logistic model for analyzing the growth of Escherichia Coli K2
    Gogoi, Udoy Narayan
    Saikia, Pallabi
    Devi, Liza
    Khataniar, Lipika
    Mahanta, Dimpal Jyoti
    International Journal of Thermofluids, 2024, 24
  • [24] The Trans-Gompertz Function: An Alternative to the Logistic Growth Function with Faster Growth
    F. Kozusko
    M. Bourdeau
    Acta Biotheoretica, 2015, 63 : 397 - 405
  • [25] The Trans-Gompertz Function: An Alternative to the Logistic Growth Function with Faster Growth
    Kozusko, F.
    Bourdeau, M.
    ACTA BIOTHEORETICA, 2015, 63 (04) : 397 - 405
  • [26] Growth and carcass traits of Japanese quail
    Knizetova, H
    ZIVOCISNA VYROBA, 1996, 41 (05): : 225 - 233
  • [27] Diphasic analysis of growth in Japanese quail
    Özkan, M
    ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES, 2004, 17 (09): : 1281 - 1285
  • [28] Bifurcations of dynamical systems, Logistic and Gompertz growth laws in processes of aggregation
    Shoshitaishvili, Alex
    Raibekas, Andrei
    Lecture Notes in Control and Information Sciences, 2010, 407 : 349 - 363
  • [29] Kinetic models for batch ethanol production from sweet sorghum juice under normal and high gravity fermentations: Logistic and modified Gompertz models
    Phukoetphim, Niphaphat
    Salakkam, Apilak
    Laopaiboon, Pattana
    Laopaiboon, Lakkana
    JOURNAL OF BIOTECHNOLOGY, 2017, 243 : 69 - 75
  • [30] APPLICATION OF LOGISTIC GROWTH-MODELS TO FORECASTING CROP YIELDS
    HOUSE, CC
    WILSON, WW
    LARSEN, GA
    BIOMETRICS, 1978, 34 (04) : 735 - 735