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All Journal Journal of the Indonesian Tropical Animal Agriculture
S. Sutopo
Department of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences

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Polymorphism of SNP g.8398A>G at prolactin gene and its effect on Indonesian Holstein dairy cow’s milk performance and reproductive traits Y. W. Setyorini; S. Sutopo; E. Kurnianto; S. Sutiyono
Journal of the Indonesian Tropical Animal Agriculture Vol 48, No 1 (2023): March
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jitaa.48.1.10-19

Abstract

The objective of this study was to identify the polymorphism of Single Nucleotide Polymorphism (SNP) g.8398A>G at the prolactin gene exon 4 in Indonesian Holstein dairy cows and its effect on milk production, milk quality, and reproductive traits. A total of 140 blood samples were investigated to detect polymorphism by PCR-RFLP method using the RsaI restriction enzyme. Sequencing was per-formed for confirmation of SNP mutation points. The phenotype data collected were milk production, milk quality, and reproductive traits. Data were analyzed using a t-test. The results showed that poly-morphism of SNP g.8398A>G at prolactin gene exon 4 was found in the study populations with AG and GG genotypes. Cows with the GG genotype indicated higher total milk yield and milk protein (P<0.05) than the AG genotype. Polymorphism was not associated with specific gravity, milk fat, milk lactose, total solid non-fat, and reproductive traits. SNP g.8398A>G at prolactin gene exon 4 showed potential as a genetic marker for selecting superior milk production traits.
DNA variants and population structure of Magelang ducks across generation A. Febriana; E. Kurnianto; S. Sutopo; D. A. Lestari; A. Setiaji; S. Sugiharto
Journal of the Indonesian Tropical Animal Agriculture Vol 49, No 1 (2024): March
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jitaa.49.1.67-77

Abstract

Magelang ducks (MD) are Indonesian local ducks and are known as dual-purpose type ducks which have high egg production, duck day production (DDP), and body weight size. Nowadays, the MD is selected to establish the pure line to advance the egg production trait in the Breeding and Rearing Center of Non-Ruminant Animals Banyubiru, Central Java. The mitochondrial DNA (mtDNA) Dloop region, is highly polymorphic and could be used to analyze the population genetics. The present research aims to examine the impacts of continuous selection on population structure and genetic mutations on MD across two generations using the mtDNA D-loop region. Thirty-six blood samples from the second (G2) and third (G3) generations were examined using the sequencing method. The MEGA X and DnaSP software were applied to calculate the genetic diversity, genetic distance, and to generate a phylogenetic tree. The number of haplotypes (H), haplotype diversity (Hd), and Tajima's D are 26, 0.9746, and -1.46, respectively. The Fst value of MD is 0.156. The genetic distance among populations ranges from 0.0000 – 2.097. The UPGMA analysis constructs one clade in a phylogenetic tree between MD, Indonesian local Ducks, Indian Ducks, Vietnamese Ducks, and Chinese Ducks. The study found that the genetic variation and population structure did not significantly change between the second and third generations.
Quantifying of morphological character for Kacang goat using principal component factor analysis D. A. Lestari; S. Sutopo; E. Kurnianto; M. I. A. Dagong; S. R. A. Bugiwati; K. Mamat-Hamidi; A. Yakubu; N. S. Pandupuspitasari; I. Agusetyaningsih; F. T. Kamila; A. Setiaji
Journal of the Indonesian Tropical Animal Agriculture Vol 49, No 4 (2024): December
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jitaa.49.4.316-322

Abstract

The study’s objective was to estimate the association among various linear body measurements and body weights of adult Kacang goats. The data was obtained from 209 heads of adult Kacang Goat, compressed 78 bucks and 131 ewes. The morphological evaluation was performed by measuring body weight (BW), body length (BL), chest depth (CD), chest girth (CG), chest width (CW), and withers height (WH). Factor PROCEDURE was performed to estimate the principal component. The result of factor analysis was used to determine the independent variable for linear regression analysis. BW has a favorable correlation with CG, BL, CD, CW, and WH for bucks and ewes. PC 1 accounts for 55.62% of the variation in bucks, while PC 2 accounts for an additional 18.34%. PC 1 accounts for just 0.45% of the overall variation in ewes, whereas PC 2 accounts for 0.24%. The R-squared (R2) values for bucks and ewes in the regression equation with CG as the independent variable are 0.32 and 0.41, respectively. For both bucks and ewes, the regression equation with CW as the independent variable had a higher R2 of 0.52 and 0.20, respectively. For bucks and ewes, the regression equation'sR2 values are 0.54 and 0.44, respectively, with combined CG and CW acting as independent variables. This integrated approach to analyzing body measurements in Kacang Goats provides a robust foundation for making informed decisions in goat farming.
Co-Authors A. Febriana A. Setiaji A. Setiaji A. Yakubu D. A. Lestari E. Kurnianto F. T. Kamila I. Agusetyaningsih K. Mamat-Hamidi M. I. A. Dagong N. S. Pandupuspitasari S. R. A. Bugiwati S. Sugiharto S. Sutiyono Y. W. Setyorini