Estimation of body weight growth curve parameters of Katjang-Boer crossbred

Mohamad Hifzan R., . and Mohd. Hafiz A. W., . and Izuan Bahtiar A. J., . and Nurulhuda M. O., . Estimation of body weight growth curve parameters of Katjang-Boer crossbred. pp. 40-46. ISSN 2550-2123

The objective of this study was to determine the best non-linear regression model to describe the growth pattern of male Katjang-Boer crossbred goat a new synthetic goat breed. Estimates of mature weight (A) rate of maturing (k) and constant of integration (B) as growth curve parameters were derived from four non-linear regression models namely Brody Logistic von Bertalanffy and Gompertz. Monthly body weight data were collected from 66 male Katjang- Boer crossbred from birth to 48-mo of age and fitted with the above non-linear regression models. Coefficient of determination (R) and residual mean squares (MSE) were used to determine the best non-linear model to estimate the growth curve parameters. Von Bertalanffy model showed the best goodness of fit in describing the growth pattern as shown by the highest R and the lowest MSE (0.951 and 22.42 respectively) followed by Gompertz (0.948 and 26.79 respectively) Logistic (0.941 and 30.32 respectively) and Brody (0.873 and 23.56 respectively). The correlation between parameters A and k were found to be negative ranging from -0.87 to - 0.52 indicating that animals with lower rate of maturing tended to be heavier at maturity. The use of non-linear model is useful in summarizing the entire lifespan weight-age data points that is usually time consuming in their analysis. The study of growth pattern is important to determine the optimum weight and age for replacement does and slaughter.

Full text available from: Official URL: https://mjas.my/mjas-v2/rf/pages/journal/v23i2/5-e...

Abstract

The objective of this study was to determine the best non-linear regression model to describe the growth pattern of male Katjang-Boer crossbred goat a new synthetic goat breed. Estimates of mature weight (A) rate of maturing (k) and constant of integration (B) as growth curve parameters were derived from four non-linear regression models namely Brody Logistic von Bertalanffy and Gompertz. Monthly body weight data were collected from 66 male Katjang- Boer crossbred from birth to 48-mo of age and fitted with the above non-linear regression models. Coefficient of determination (R) and residual mean squares (MSE) were used to determine the best non-linear model to estimate the growth curve parameters. Von Bertalanffy model showed the best goodness of fit in describing the growth pattern as shown by the highest R and the lowest MSE (0.951 and 22.42 respectively) followed by Gompertz (0.948 and 26.79 respectively) Logistic (0.941 and 30.32 respectively) and Brody (0.873 and 23.56 respectively). The correlation between parameters A and k were found to be negative ranging from -0.87 to - 0.52 indicating that animals with lower rate of maturing tended to be heavier at maturity. The use of non-linear model is useful in summarizing the entire lifespan weight-age data points that is usually time consuming in their analysis. The study of growth pattern is important to determine the optimum weight and age for replacement does and slaughter.

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Item Type:	Article
AGROVOC Term:	Goats
AGROVOC Term:	Animal physiology
AGROVOC Term:	Data collection
AGROVOC Term:	Crossbreds
AGROVOC Term:	Body measurements
AGROVOC Term:	Body weight
AGROVOC Term:	Growth
AGROVOC Term:	Maturity
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:55
URI:	http://webagris.upm.edu.my/id/eprint/10056

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