Article Per Year (5 Year)
p-Index From 2020 - 2025
0.983
P-Index
This Author published in this journals
All Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Keperawatan Jurnal Dakwah Risalah Menara Riau: Jurnal Ilmu Pengetahuan dan Pengembangan Masyarakat Islam Jurnal Bioterdidik: Wahana Ekspresi Ilmiah Jurnal Peternakan Indonesia Jurnal Ilmiah Mahasiswa Ekonomi Manajemen Jurnal Ilmiah Pendidikan Scholastic Inovasi Pendidikan: Jurnal Pendidikan Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks ABDI DAYA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Yurnalis Yurnalis
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Jurnal Peternakan Indonesia

 1 
Keragaman Sekuen Gen Reseptor Hormon Pertumbuhan Exon 10 sebagai Informasi Dasar Seleksi pada Sapi Pesisir Plasma Nutfah Sumatera Barat Yurnalis Yurnalis; Sarbaini Sarbaini
Jurnal Peternakan Indonesia (Indonesian Journal of Animal Science) Vol 16, No 1 (2014): Jurnal Peternakan Indonesia
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jpi.16.1.63-70.2014

Abstract

Dari 216 ekor sapi Pesisir berusia 1,5 tahun , 60 ekor dipilih berdasarkan berat badan, 30 ekor dengan bobot tertinggi (125 ± 9 kg), dan 30 ekor dengan bobot badan rendah (65 ± 6 kg). Keragaman gen reseptor hormon pertumbuhan (GHR) dilihat dengan sekuensing (SNP) dan dengan PCR - RFLP. Lima delesi terdeteksi di posisi 34, 39, 45, 50, dan 115 dengan frekuensi alel berturut-turut 0,45, 0,15, 0,46, 0,46, dan 1,00 dan 4 insersi terdeteksi di posisi 67, 74, 113, dan 133 dengan frekuensi alel berturut-turut 0,19, 0,19, 0,25, dan 0,45 masing-masing dengan genotip insersi T , A , G , dan G. Empat mutasi terdeteksi di posisi 32, 50, 109, dan 150 dengan genotip T  C, G  A, A  C, dan G C dengan frekuensi alel 0,50, 0,23, 0,19, dan 1,00. GHR-NlaIII alel T dan C masing-masing adalah 0,017 dan 0,983. Uji chi-square menunjukkan bahwa populasi ini tidak dalam keseimbangan Hardy - Weinberg. Temuan ini menunjukkan bahwa GHR-NlaIII tidak dapat digunakan sebagai penanda untuk keturunan Bos indicus. Tidak ada hubungan antara keragaman gen GHR dengan dua kelompok ternak. Hasil penelitian ini menunjukkan bahwa gen GHR bersifat polimorfik sehingga perlu dicari hubungannya dengan performance dan pertumbuhan ternak.
Pemilihan Model Terbaik Dalam Analisa Regresi studi Kasus Pendugaan Bobot Hidup sapi Persilangan Simental Dengan sapi PO Berdasarkan Ukuran - Ukuran Tubuh. Yurnalis Yurnalis
Jurnal Peternakan Indonesia (Indonesian Journal of Animal Science) Vol 12, No 2 (2007): Jurnal Peternakan Indonesia
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1364.864 KB) | DOI: 10.25077/jpi.12.2.150-155.2007

Abstract

The objective of the research was to find out the best model of regression equation in predicting body weight of F2 by using body measurement parameters of Simental and Ongole Cross cattle. Eighty two bulls kept by farmer in Padang Panjang, West Sumatra were used in this study. Each bull was measured for their body parantetrs. The parameter measured included body wight (BH), body length (PB), thorax circle (LD), shoulder high (TP) and age in month (US). The data were than statistically analysis by regressin analysis, where the dependent variable was BH, while the independent were PB, LD, TP and US. Criteria for choosing the best equation were R2, R2 Adjusted, Mean square Error (MSE), and Cp Mallow's. The best equation with one independence variable is BH : 6,024 LD - 602,996, the best model with two independence variable is BH : 3,991 PB + 3,809 LD - 775,596, the best model with three independence variable is BH: 3,23 PB + 3,508 LD + 1,855 TP - 852,371 and the best model with four independence variable is BH : 3,20 PB + 3,597 LD + 1,836 TP - 0,181 US - 657,598. The best equation for estimation of body weight was found by using three independence variable of BH: 3,23 PB + 3,508 LD + 1,855 TP - 852,371.
Pembentukan Rumus Sederhana Pendugaan Bobot Hidup Sapi Persilangan Simental dengan PO Berdasarkan Ukuran Tubuh Yurnalis Yurnalis
Jurnal Peternakan Indonesia (Indonesian Journal of Animal Science) Vol 12, No 2 (2007): Jurnal Peternakan Indonesia
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2006.915 KB) | DOI: 10.25077/jpi.12.2.156-164.2007

Abstract

The objective of the research was to find out the simple model of regression equation for estimation of body weight (y in kg) based on the data of other body parameters of Simmental and Ongole Cross cattle's. Sixty two bulls and thirty six cow kept by farmer in Padang Panjang, West Sumatra were measured their body of body length (x1 in cm), thorax circle (x2 in cm), shoulder high (x3 in cm). Criteria for choosing the best equation are R2, R2 Adjusted, Mean square Error (MSE). Thirty equation was considered for choosing the best equation. The best equation for predicting of body weight of bulls were y = 0,018(x2 -18)'2 and y = 0,000124(x1'2 * x2), while .for cows: y = 0,0156(x2 - 6)'2 and y = 0,000118(x1'2 * x2).
Co-Authors Adisti Rastosari Dino Eka Putra Erwin Erwin Firda Arlina Husna Jm Fortuna Khairullah Putra Aksa Mylaufa Asyraf Nurhalis Nurhalis Pramudiyanti Pramudiyanti Reswati, Reswati Rini Rita T. Marpaung Sarbaini Sarbaini Sofiana Nurchayati Sri Nanda Novianti Tinda Afriani Wirdah Irawati