Prediction of total lean meat of Kedah-Kelantan cattle and its crosses from live body measurements

Dahlan Ismail, . and Mohd Mahyuddin Dahan, . and Ahmad Shokri Othman, . and Mohd Ariff Omar, . Prediction of total lean meat of Kedah-Kelantan cattle and its crosses from live body measurements. pp. 85-91. ISSN 0126-5709

Equations for predicting the quantity of lean meat for Kedah-Kelantan (KK) bulls and its crosses Brahman x KK (BK) Hereford x KK (HK) Friesian x KK (FK) and Jersey x KK (JK) were developed from 16 body measurements of 91 bulls (fasted body weight: 180-385 kg). Bulls were slaughtered their carcasses chilled and manually separated into lean fat bone head skin feet and tail components. The average fasted body weight and lean meat weight of the bulls were 271.8 kg and 103.4 kg respectively. Best prediction equations were selected using maximum R2 criterion from stepwise regression procedures. The model which included the 16 variables produced R2 value of 0.84 in predicting total lean meat. The models for specific breedtypes which included all the 16 variables produced higher R2 value of 0.99. Models with girth measurements gave higher R2 values. Heart girth was the best one-variable model selected and was most practical for field application. The one-variable model for predicting total lean meat (TLM) were: TLM 1.68 HG-159.58 for all breedtypes TLM 1.56 PG-178.82 for KK TLM 1.94 HG-197.60 for BK TLM 5.46 CL - 97.06 for HK TLM 1.44 HG-125.38 for FK and TLM 2.18 HG - 237.62 for JK

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Abstract

Equations for predicting the quantity of lean meat for Kedah-Kelantan (KK) bulls and its crosses Brahman x KK (BK) Hereford x KK (HK) Friesian x KK (FK) and Jersey x KK (JK) were developed from 16 body measurements of 91 bulls (fasted body weight: 180-385 kg). Bulls were slaughtered their carcasses chilled and manually separated into lean fat bone head skin feet and tail components. The average fasted body weight and lean meat weight of the bulls were 271.8 kg and 103.4 kg respectively. Best prediction equations were selected using maximum R2 criterion from stepwise regression procedures. The model which included the 16 variables produced R2 value of 0.84 in predicting total lean meat. The models for specific breedtypes which included all the 16 variables produced higher R2 value of 0.99. Models with girth measurements gave higher R2 values. Heart girth was the best one-variable model selected and was most practical for field application. The one-variable model for predicting total lean meat (TLM) were: TLM 1.68 HG-159.58 for all breedtypes TLM 1.56 PG-178.82 for KK TLM 1.94 HG-197.60 for BK TLM 5.46 CL - 97.06 for HK TLM 1.44 HG-125.38 for FK and TLM 2.18 HG - 237.62 for JK

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Item Type:	Article
Additional Information:	5 tables; 10 ref. Summaries (En Malay)
AGROVOC Term:	GANADO BOVINO
AGROVOC Term:	CARNE DE RES
AGROVOC Term:	MEDICION DEL CUERPO
AGROVOC Term:	PRODUCTOS DEL CRUZAMIENTO/ CANAL ANIMAL
Depositing User:	Ms. Norfaezah Khomsan
Last Modified:	24 Apr 2025 05:54
URI:	http://webagris.upm.edu.my/id/eprint/18807

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