Body Weight Estimation of Bali Cattle in Banyumulek Techno Park, West Nusa Tenggara using Several Morphometric Parameters
Abstract: This study was
conducted to find the best linear regression equation to estimate the body
weight (BW) of female Bali cattle in Banyumulek Techno Park, West Nusa Tenggara
based on three morphometric parameters, i.e. withers height (WH), body length
(BL), and heart girth (HG). Data collection was conducted by random sampling of
female Bali cattle (1-5 years of age) in Banyumulek Techno Park. A total of 63
female Bali cattle were used in this study. The parameter of WH (distance from
the ground level to the highest point of withers) and BL (distance from the
shoulder joint (later tuberosity of humerus) to the pelvic bone) were measured
with a measuring stick. The HG data (circumference around the chest at the
fourth rib) was measured with a measuring tape. Identification of age was
carried out based on the animal recording book and incisors condition. The
descriptive statistic analysis (mean value, standard deviation, the coefficient
of variation, minimum and maximum value) of the morphometric and BW data were performed
using MS Excel 2017 program. The linear regression equation analysis and the
comparison between actual and estimated BW values (Independent sample T-test)
were performed using SPSS 16.0 program. The BL and BW parameters had the
highest correlation coefficient (r) value (0.86). The test result showed that
the predicted BW value of female Bali cattle was not significantly different
with the actual BW when using G model of linear regression equation (three
variables used). The G model of linear regression equation had the highest R2
value (0.84). However the R2 value in the F model with two variables (BL and
HG) was also high (0.83). It can be concluded that the simple linear regression
equation BW=(0.96)(WH)+(1.26)(BL)+(1.57)(HG)-284.92 are the best model to
estimate the BW value of female Bali cattle in Banyumulek Techno Park.
Keywords: Bali cattle; Body
measurement; Body weight; Correlation; Regression
Penulis: Paskah Partogi Agung,
Widya Pintaka Bayu Putra, Saiful Anwar, Ari Sulistyo Wulandari
Kode Jurnal: jppeternakandd180024