EG goats are the result of crossing from male Ettawa goats and female Kacang goats so that these goats have properties between the two pedigrees (Setiaji et al., 2013). This goat has been raised by farmers widely in many regions in Indonesia due to good adaptability to the tropical environment, relatively rapid growth, and be utilised as meat and milk producer. Therefore, it is necessary to weigh

Abstract. Dakhlan A, Hamdani MDI, Putri DR, Sulastri, Qisthon A. 2021. Short Communication: Prediction of body weight based on body measurements in female Saburai goats. Biodiversitas 22: 1391-1396. Saburai goat is a new composite breed in Lampung Province with little information on its performance. This research aimed to predict body weight based on body measurements, namely body length (BL), chest girth (CG), and shoulder height (SH) in female Saburai goats. This study used 42 female Saburai goats aged 3-4 years. The method used in this study was a survey, namely all-female Saburai goats aged 3-4 years were used for this research. The data obtained were analyzed using correlation and simple and multiple linear regression analysis using R program. Coefficient determination (R2), adjusted R2, residual standard error (RSE), Akaike information criterion (AIC), Bayesian information criterion (BIC), and stepwise regression analysis were used to find the best and most parsimonious regression model to predict BW based on body measurements. The results showed that BL, CG, and SH were positively and significantly correlated with BW of female Saburai goats with correlation coefficients of 0.858, 0.956 and 0.862, respectively. Chest girth was the best predictor for BW if using single predictor with regression equation of Ŷ = -31.17 + 0.93X2. However, combination of BL and CG was the best and most parsimonious regression model in predicting BW of female Saburai goat with regression equation of Ŷ = -36.09 + 0.31X1 + 0.72X2 with R2 = 0.941, adjusted R2 = 0.938, RSE = 2.842, AIC = 216.73 and BIC = 223.78. In conclusion, all body measurements in this study (particularly combination of BL and CG) could be used as predictor for BW with high accuracy of prediction. The result of this study suggested that CG and BL could be as indirect criteria to improve BW of female Saburai goats.

This study aimed to predict live body weight (BW) of Saburai goat based on body measurements (body length = BL, shoulder height = SH, chest girth = CG) in Saburai goats at different ages and sex. A total of six hundred fifty-four data generated from 214 Saburai goats (108 female goats and 96 male goats) aged 0-12 months were used in this study. We used analysis of correlation and regression model between body measurements and BW using R program. Determination coefficient (R 2 ), root mean square error (RMSE), Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) were used as a reference in finding the best model in addition to using stepwise regression to find a simpler and more efficient model. The result showed that BL, SH and CG positively correlated to BW with the highest correlation value generally was CG followed by BL and SH. Combination of BL and CG was the best predictor for BW and showed the more parsimonious regression model for predicting BW at all ages and sex. Age and sex of goat affected the regression model suggesting that different sex and age had own regression model to predict BW of Saburai goat.

Estimasi nilai Most Probable Producing Ability (MPPA) induk kambing Saburai berdasarkan kinerja keturunannya sangat penting dalam pemilihan induk kambing. Penelitian ini dilakukan untuk memilih kinerja induk kambing Saburai terbaik berdasarkan nilai MPPA menggunakan kinerja berat lahir (BL) dan berat sapih (BS) anak kambing di Unit Pelaksana Teknis Daerah (UPTD) Pusat Pembibitan Kambing, Kecamatan Gedongtataan, Kabupaten Pesawaran, Provinsi Lampung. Penelitian ini menggunakan metode survei yang dilakukan pada April-Juni 2019. Dua puluh lima induk kambing Saburai menghasilkan 34 anak pada paritas pertama dan 33 anak pada paritas kedua digunakan dalam penelitian ini. Data BL dan BS disesuaikan terhadap jenis kelamin jantan, tipe jenis kelahiran tunggal, dan umur induk. Nilai ripitabilitas diestimasi menggunakan metode korelasi antar kelas dan digunakan untuk menghitung nilai MPPA. Hasil penelitian menunjukkan bahwa rata-rata BL anak kambing pada paritas pertama dan kedua, masing-masing adalah 3,09 ± 0,42 kg dan 3,28 ± 0,54 kg, sedangkan rata-rata BS pada paritas pertama dan kedua, masing-masing adalah 17,20 ± 1,69 kg dan 17,36 ± 2,24 kg. Nilai ripitabilitas yang didapat untuk BL dan BS, masing-masing adalah 0,49±0,08 dan 0,55 ±0,06. Rata-rata nilai MPPA untuk BL dan BS, masing-masing adalah 3,19 ± 0,27 kg dan 17,28 ± 1,23 kg. Enam induk kambing Saburai (B2, B1, C1, A3, D3, dan C8) memiliki nilai MPPA BL dan BS lebih tinggi dari rata-rata nilai MPPA populasi. Keenam induk ini sebaiknya dipertahankan dalam populasi untuk meningkatkan mutu genetik kambing Saburai. Kata kunci: Berat lahir, Berat sapih, Induk Kambing Saburai, Nilai MPPA, Ripitabilitas.

No abstract