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All Journal Jurnal Sain Peternakan Indonesia Journal of the Indonesian Tropical Animal Agriculture
E. Kurnianto
Department of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Veterinary

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Evaluation of Native Rooster Based on Breeding Value of trait of Macroscopic and Microscopic Semen Quality Sutiyono Sutiyono; E. Kurnianto; Sutopo Sutopo; D. K. Ariyanto; D. Samsudewa
Jurnal Sain Peternakan Indonesia Vol 16, No 3 (2021)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jspi.id.16.3.228-232

Abstract

The aim of this research is to a determined the breeding value of native roosters based on macroscopic and microscopic semen. Ten native roosters were used in this research. Complete individual cage, semen collection tools and substance, macroscopic and microscopic tools, and substance were used in this research. The native rooster was rested for 2 weeks. Massage techniques were used for semen collection. Parameters observed were volume, pH, color, viscosity, smell, sperm concentration, and sperm livability. The semen collection was repeated 5 times. One-way analysis of variances was used for data analysis with the tools SPSS 16. The breeding value was estimated based on primary traits of semen and calculated for each rooster to make a rank. The results showed that significant parameters (P<0,05) are semen volume and sperm concentration, while the non-significant parameters (P?0,05) are pH semen and sperm livability. Semen color is yellowish-white, semen viscosity is medium-viscous and smell is spermin. The results of breeding value rank are rooster numbers 6, 7, 5, 3, 2, 4, 8, 9, 10, and 1. The conclusion is the breeding value of Native roosters is varied. The recommendation is Native chicken breeding need to apply selection used breeding value based on semen quality.
Follicle-stimulating hormone receptor gene exploration as possible markers for prolific trait of local goat in Indonesia E. T. Setiatin; D. A. Lestari; D. W. Harjanti; A. Setiaji; E. Kurnianto
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.48.1.28-36

Abstract

The objective of this study was to discover and identify the effect of SNP of follicle-stimulating hormone receptor (FSHR) gen on prolific traits in Kejobong (KJ) and Etawah grade (EG) doe. A total of 15 blood samples were taken from 11 KJ and 4 EG with various parity and type of birth. The FSHR gene was amplified from the DNA template by Polymerase Chain Reaction (PCR); the PCR products were then sequenced to determine Single Nucleotide Polymorphisms (SNP). Results showed that 3 SNPs were identified, and those SNPs altered amino acid sequence formed 6 haplotypes and divided the doe based on the type of birth. In conclusion, SNPs identified in this study are associated with a prolific trait that can be used as a genetic marker and haplotype 3, 4, and 5 showed the highest prolific on KJ and EG doe.
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.
Association analysis of the transforming growth factor factor-β2 gene with growth performance in Kedu chickens M. Akramullah; E. Kurnianto; D. A. Lestari; E. T. Setiatin; D. Y. Palupi; Y. N. Anjani; G. P. Dewi; A. Setiaji
Journal of the Indonesian Tropical Animal Agriculture Vol 51, No 1 (2026): March
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jitaa.51.1.72-81

Abstract

The Transforming Growth Factor-β2 (TGF-β2) gene is one of the cytokine genes that plays an important role in regulating growth processes and disease resistance. This study aimed to analyze the association between the TGF-β2 gene and growth performance in Kedu chickens. A total of 130 Kedu chickens, consisting of 72 males and 58 females, were observed for 10 weeks. Growth parameters measured included body weight, feed intake, body weight gain, and feed conversion ratio. Identifica-tion of the single nucleotide polymorphism (SNP) in the TGF-β2 gene was performed using the PCR-RFLP method. The association analysis between the g.640 T>C SNP polymorphism of the TGF-β2 gene and growth performance was conducted using analysis of variance under a General Linear Model (GLM). The results showed that the g.640 T>C SNP of the TGF-β2 gene was polymorphic and not in Hardy–Weinberg equilibrium. The TT genotype exhibited better growth performance (body weight gain, feed intake, and feed conversion ratio) than the CC genotype, particularly at 10 weeks of age in both female and unsexed chickens.
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 D. K. Ariyanto D. Samsudewa D. W. Harjanti D. Y. Palupi E. T. Setiatin F. T. Kamila G. P. Dewi I. Agusetyaningsih K. Mamat-Hamidi M. Akramullah M. I. A. Dagong N. S. Pandupuspitasari S. R. A. Bugiwati S. Sugiharto S. Sutiyono S. Sutopo Sutiyono Sutiyono Sutopo Sutopo Y. N. Anjani Y. W. Setyorini