Penelitian dilaksanakan dengan metoda survei dengan tujuan untuk mengetahui faktor-faktor yang berpengaruh terhadap kinerja inseminator dan keberhasilan inseminasi buatan (IB) dalam upaya menunjang program Upsus Siwab di Bali. Penetapan responden dilakukan secara purposive sampling terhadap inseminator IB di seluruh Bali. Data diperoleh dari hasil wawancara, catatan dari para inseminator dan informasi dari instansi terkait. Analisis data dilakukan secara deskriptif dan multiple regression dilanjutkan dengan step-wise untuk mengidentifikasi faktor-faktor yang paling berperan. Hasil penelitian menunjukkan kinerja inseminator secara bersama-sama dipengaruhi secara nyata (P<0,05) oleh faktor umur (X1), jenjang pendidikan (X2), jumlah keluarga (X3), waktu yang tersedia (X4), lama pelatihan (X5), lama menjadi inseminator (X6), jarak lokasi (X7) dan status kepegawaian (X8). Melalui analisa step-wise, maka diperoleh jumlah ternak yang dapat di IB per periode (Y1) secara nyata dipengaruhi oleh X4, X6 dan X7 dengan persamaann Y1 = 15,35 X4+16,65 X6+28,57 X7 – 142,36 (P<0,05) dengan R2 = 0,575. Untuk servis per conception (Y2) dan conception rate (Y3) secara nyata dipengaruhi oleh X6 dengan persamaan masing-masing Y2 = 1,273 + 0,088 X6 dengan R2 = 0,375 dan Y3 = 44,49 +0,843 X6 dengan R2 = 0,364, sementara calving rate (Y4) dipengaruhi oleh X6 dan X7 dengan persamaan Y4 = 45,28+0,95X6 – 0,368X7 dengan R2 = 0,408. Dari beberapa faktor yang teridentifikasi, ternyata peubah lama menjadi inseminator atau pengalaman sebagai inseminator (X6) adalah paling berperanan terhadap kinerja inseminator untuk menunjang keberhasilan IB pada pelaksanaan program Upsus Siwab di Bali.
This research was conducted in Badung and Tabanan Regencies with a survey method on bali cow farmer groupwhere the cows as artificial insemintion (AI) acceptors were in the the program of special effort on acceleration ofpregnant cattle and buffalo population (Upsus Siwab). Sampling was carried out by purposive random samplingwith 74 cows were in Badung and 61 cows were in Tabanan. Data obtained from interviews and recording fromfarmers, farmer groups and inseminator staffs. Data collected included: age of cows, age of first mated, calvingrate, service per conception, gestation period, and post partus heat. Data generated were analysed using descriptivestatistics and reproductive performance of bali cows as AI acceptors between Badung Regency and Tabanan Regencywas analysed using Two Independent Sample T Test. Results showed that the average age of cows in Badung andTabanan was 4.23 ± 2.00 years and 4.50 ± 2.90 years and the age at first mated was 1.74 ± 0.49 and 1.900.38 yearsrespectively. Calving rate of cows as AI acceptors in Badung and Tabanan Regencies were 56.75% and 40.98%respectively. Service per conception is 1.62 ± 0.39 times and 1.90 ± 0.38 times, respectively. The average of gestationperiod of cows in Badung 9.63 ± 0.52 months tended to be longer than of 9.45 ± 0.22 months in Tabanan, whereasthe post partus heat were 3.06 ± 0.94 months and 3.53 ± 1.03 months, respectively. In conclusion, the calving rate ofcows in Badung was greater than of in Tabanan and the post partus heat of AI acceptor cows in Badung was shorterthan of in Tabanan.
The research was conducted in a survey of farmers on the pig farm business in the Kebek and Penginyahanvillage, Payangan-Gianyar. Purposive random sampling of 20 farmers in each location and explorative approachwas conducted to describe the production and reproduction management applied. Data were analyzed descriptivelyand to study production and reproduction management between the two sites was Two Independent Sample TTest. The results showed the average productivity of pigs in Kebek and Penginyahan that is litter size: 9,50±1,65 vs10,86±1,68 tail, annual litter size : 2,10±0,32 vs 2,29±0,49 times, weaning age: 29,00±2,11 vs 29,00±1,91 day, andthe three variables were not significantly different (P>0,05). The average number of piglet weaned in Kebek andPenginyahan was 7.90±1,45 vs 9,43±1,99 head, weaning weight of piglet 7,20±1,69 vs 5,29±0.57 kg (P <0.05). Thedry period and the age of culled of sow in Kebek is significantly higher than in Penginyahan (P<0.05). Whereas infattening management, early age to fatten and length of maintenance is not different between the two locations(P>0,05), whereas the live and slaughtering weight in Kebek are significantly higher than those in Penginyahan thatis 14.00±1,15 vs. 12.20±1,79 kg and 126,50±11,80 vs. 114±10,84 kg (P<0,05).
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