Dakhlan, A. and Aziz, Rufaidah and Kurniawati, Dian and Adhianto, Kusuma and Qisthon, Arif (2024) Body weight prediction of Ongole grade cattle using body volume and body measurements. In: THE 4TH INTERNATIONAL CONFERENCE ON APPLIED SCIENCES, MATHEMATICS, AND INFORMATICS: ICASMI2022, 8-9 September 2022, Bandar Lampung.

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Abstract

Ongole Grade (OG) cattle is one of the local Indonesian cattle and is the result of a crossbreeding between Sumba Ongole cattle and Java cattle. This study aimed to find the fittest prediction of body weight of OG cattle using body volume and body measurements (chest girth and body length) which were analyzed using their correlation and regression equations. This research was conducted in February 2022 in the Livestock Groups in Tanjung Sari District, South Lampung Regency. The research method used was a survey method with a sampling technique using purposive sampling of 120 male and female OG cattle, with the criteria of cattle aged 2-5 years, not pregnant, and not aggressive. The data were analyzed using correlation and regression models with the help of the R program. The results showed that body volume had the highest correlation value (0.93) with body weight compared to chest girth (0.92), and body length (0.90). The regression equation between body volume (BV), chest girth (CG), and body length (BL) to body weight (BW) were BW=17.0304444392+0.01085426*BV, BW=-484.6830+4.8495*CG, and BW=-652.4710+7.6876*BL, respectively, with the coefficient of determination of 0.87, 0.84, and 0.81, respectively. The conclusion of this study is that body volume can be used to estimate the body weight of OG cattle with the smallest deviation from actual body weight, compared to other body measurements. However, for practical application, chest girth is best predictor for body weight of OG cattle. Our finding suggested that body measurements (CG and BL) can be used as selection criterion to improve performance of OG cattle.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	S Agriculture > SF Animal culture
Divisions:	Fakultas Pertanian (FP) > Prodi Peternakan
Depositing User:	Dr. Akhmad Dakhlan
Date Deposited:	09 Sep 2024 02:03
Last Modified:	09 Sep 2024 02:03
URI:	http://repository.lppm.unila.ac.id/id/eprint/54092

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