Comparison of growth pattern for body weight in Brakmas and Bali cattle using non-linear regression models

Ariff O. M., . and Mohamad Hifzan R., . and Izuan Bahtiar A. J., . and Faezal Ashraff A. L., . and Mohd. Hafiz A. W., . Comparison of growth pattern for body weight in Brakmas and Bali cattle using non-linear regression models. pp. 19-28. ISSN 1394-3227

The objective of this study was to compare the growth curve parameters derived from non-linear regression models using body weight data of Brakmas and Bali cattle. Four non-linear models namely Brody von Bertalanffy Gompertz and Logistic were fitted to the body weight data collected from 279 Brakmas (range in age from 1 to 15 y) and 74 Bali (range in age from 1 to 10 y) cows. Coefficient of determination (R2) residual mean square (MSE) and mean of absolute deviation (MAD) were used to determine the best model to describe the growth pattern of the cattle. For both cattle breeds the Logistic model showed the highest R2 value at 0.967 followed by Gompertz von Bertalanffy and Brody with R2 values at 0.966 0.966 and 0.964 respectively. Logistic model also showed the lowest MSE at 1057.1 followed by Gompertz von Bertalanffy and Brody that yielded 1080.5 1094.7 and 1138.7 of MSE respectively. Supporting these results Logistic model showed the lowest MAD at -6.17 compared to Gompertz (-5.78) von Bertalanffy (-1.65) and Brody (1.82). Brakmas cattle showed higher mature weight compared to Bali cattle of 328.84.917 kg and 270.44.419 kg respectively as estimated by Logistic model. However Bali cattle showed higher rate of maturing at 0.109-0.011 compared to Brakmas cattle (0.089-0.005) which indicated that Bali cattle would likely attain its mature weight earlier than Brakmas cattle. This was further explained by the negative correlation between mature weight and rate of maturing where Brakmas cattle showed higher negative correlation coefficient compared with Bali cattle. The correlation between mature weight and maturing rate of Brakmas and Bali cattle were -0.528 and -0.170 respectively. It is concluded that the use of non-linear model is useful as it could summarize the weight-age relationship into several biologically interpreted parameters compared to the entire lifespan weight-age data points that are difficult to interpret.

Full text available from: Official URL: http://mjas.my/mjas-v2/rf/pages/journal/v21i1/3-Ha...

Abstract

The objective of this study was to compare the growth curve parameters derived from non-linear regression models using body weight data of Brakmas and Bali cattle. Four non-linear models namely Brody von Bertalanffy Gompertz and Logistic were fitted to the body weight data collected from 279 Brakmas (range in age from 1 to 15 y) and 74 Bali (range in age from 1 to 10 y) cows. Coefficient of determination (R2) residual mean square (MSE) and mean of absolute deviation (MAD) were used to determine the best model to describe the growth pattern of the cattle. For both cattle breeds the Logistic model showed the highest R2 value at 0.967 followed by Gompertz von Bertalanffy and Brody with R2 values at 0.966 0.966 and 0.964 respectively. Logistic model also showed the lowest MSE at 1057.1 followed by Gompertz von Bertalanffy and Brody that yielded 1080.5 1094.7 and 1138.7 of MSE respectively. Supporting these results Logistic model showed the lowest MAD at -6.17 compared to Gompertz (-5.78) von Bertalanffy (-1.65) and Brody (1.82). Brakmas cattle showed higher mature weight compared to Bali cattle of 328.84.917 kg and 270.44.419 kg respectively as estimated by Logistic model. However Bali cattle showed higher rate of maturing at 0.109-0.011 compared to Brakmas cattle (0.089-0.005) which indicated that Bali cattle would likely attain its mature weight earlier than Brakmas cattle. This was further explained by the negative correlation between mature weight and rate of maturing where Brakmas cattle showed higher negative correlation coefficient compared with Bali cattle. The correlation between mature weight and maturing rate of Brakmas and Bali cattle were -0.528 and -0.170 respectively. It is concluded that the use of non-linear model is useful as it could summarize the weight-age relationship into several biologically interpreted parameters compared to the entire lifespan weight-age data points that are difficult to interpret.

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Item Type:	Article
AGROVOC Term:	Cattle
AGROVOC Term:	Body measurements
AGROVOC Term:	Body weight
AGROVOC Term:	Age
AGROVOC Term:	Animal breeding
AGROVOC Term:	cattle
AGROVOC Term:	Maturity
AGROVOC Term:	Animal stock
AGROVOC Term:	Slaughter value
AGROVOC Term:	Life span
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 06:29
URI:	http://webagris.upm.edu.my/id/eprint/24716

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