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All Journal Tropical Animal Science Journal
W. P. B. Putra
Research Center for Biotechnology, Indonesian Institute of Sciences (LIPI)
Agriculture, Biological Sciences & Forestry Energy

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Polymorphism of Bovine Growth Hormone Receptor Gene (g.3338A>G) and Its Association with Body Measurements and Body Weight in Pasundan Cows W. P. B. Putra; P. P. Agung; S. Anwar; S. Said
Tropical Animal Science Journal Vol. 42 No. 2 (2019): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2019.42.2.90

Abstract

Bovine growth hormone receptor (bGHR) gene was one of the growth hormone family genes that important for body growth and development of cattle. This research was carried out to identify the polymorphism in the exon 10 of bGHR gene from 142 heads of Pasundan cows at West Java and its association with body length (BL), withers height (WH), heart girth (HG), and body weight (BW). There are two mutation points in the bGHR gene based on the sequencing analysis i.e. g.3322del.A and g.3338A>G. The single nucleotide polymorphism (SNP) at g.3338A>G was detected using PCR-RFLP method with AluI restriction enzyme and showed three genotypes of AA (0.49), AG (0.37), and GG (0.14). The allelic frequencies were 0.67 (A) and 0.33 (G). The number of allele effective (ne) value was 1.79 and described that A allele was the higher allele in the bGHR gene in this study. The polymorphic informative content (PIC) value was 0.34 and categorized as a moderate category. The Chi-square (χ2) analysis showed that the population sample was in the Hardy-Weinberg equilibrium (χ2<5.99). It was concluded that the polymorphism of bGHR gene had a significant association (p<0.05) with BL, WH, and BW of Pasundan cows. Research showed that all body measurements in GG genotype animals were lowest than other genotypes. Meanwhile, the highest of BW was showed in GG genotype. In addition, the average of BL, WH, HG, and BW in Pasundan cows (2 PPI and 3PPI) were 126.88±14.25 cm; 133.97±31.69 cm; 145.35±13.56 cm and 201.85±44.87 kg, respectively.
Morphometrics Characterization of Thin-Tail Sheep in Lowland and Highland Areas Depison; W. P. B. Putra; Gushairiyanto; Y. Alwi; H. Suryani
Tropical Animal Science Journal Vol. 44 No. 4 (2021): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2021.44.4.386

Abstract

Breed characterization in the livestock is important for the breeding program in the future. This research aimed to characterize Thin-tail sheep in the highland and lowland areas of Jambi Province based on 7 body measurements and body indices using multivariate analysis. Data were collected from 160 sheep consisted of 80 rams and 80 ewes from each area (320 sheep in total with 1-2 years old). The research showed that the principal component analysis (PCA) in this study was explained 65.84%-72.30% by body measurements and 78.23%-84.99% by body indices of the total phenotypic variance of animals. The body measurement of cannon circumference (CC) and body indices of area index (AI), relative cannon index (RCI), dactyl thorax index (DTI), conformation index (CI), and index of body weight (IBW) were selected as the discriminating variable for Thin-tail sheep in different areas. However, this study’s canonical correlation (rc) values were 0.44 for body measurements and 0.47 for body indices. Therefore, about 67.5% of Thin-tail sheep from the lowland area and 57.5% of Thin-tail sheep from the highland area can be characterized with body measurements. Hence, about 61.2% of Thin-tail sheep from the lowland area and 65.6% of Thin-tail sheep from the highland area can be characterized with body indices. Temperature, humidity, rainfall, and length of radiation in the highland areas are lower than in the lowland areas. The cluster analysis in four Thin-tail sheep populations revealed two clusters, i.e., cluster 1 consisted of Kerinci and Sungai Penuh and cluster 2 consisted of Muaro Jambi and Batanghari. It was concluded that about 60% of Thin-tail sheep could be characterized through their body indices.
Co-Authors Depison Depison Gushairiyanto Gushairiyanto H. Suryani P. P. Agung S. Anwar S. Said Y. Alwi