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Identification of Gene Diversity of Melanocortin 4 Receptor for Commercial Rabbit Breeds Kamila, Firda Tasya; Kamalludin, Mamat Hamidi; Sutopo, Sutopo; Lestari, Dela Ayu; Setiatin, Enny Tantini; Agustine, Ananda Dwi; Latifa, Alfa Putri; Nabilah, Zata; Philco, Syaddad Verahry; Setiaji, Asep
Buletin Peternakan Vol 49, No 1 (2025): BULETIN PETERNAKAN VOL. 49 (1) FEBRUARY 2025
Publisher : Faculty of Animal Science, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21059/buletinpeternak.v49i1.99303

Abstract

Molecular genetic markers are regularly implemented in rabbit management for better breeding by selecting for specific genotypes. This study aimed to examine the diversity of the melanocortin-4 receptor gene in rabbits in Central Java, Indonesia. A total of 35 bucks were used in this study, comprising 10 New Zealand White, 11 Hyla and 14 Hycole. The DNA was extracted by Gene JET Whole Blood Genomic DNA extraction kit. Single Nucleotide Polymorphism (SNP) was detected by Polymerase Chain Reaction (PCR) and DNA sequencing. Hot carcass weight, cold carcass weight, reference weight and cut point 1-5 weight were among the parameters that were measured. This study showed that Melanocortin 4 Receptor (MC4R) genes were polymorphic, containing missense mutations and one SNP at 519G→A SNP 519GA had two alleles, A and G, with three genotypes (AA, GG, and AG). The rabbit population did not achieve HardyWeinberg Equilibrium (HWE) and showed a low level of genetic diversity as indicated by the heterozygosity results. The result of this study concluded that the frecuency AG as a genotype was higher than either GG or AA and A had a higher allele frequency than G. We recommended improving the validity of the data across various rabbit populations
Characterization of Productive and Reproductive Performance of Broiler Grand Parent Stock Strains (Ross, Cobb, and Hubbard) During Growing and Laying Phases Amak Fadoli; Hamiyanti, Adelina Ari; Kamalludin, Mamat Hamidi; Nurgiartiningsih, Veronica Margareta Ani
ANIMAL PRODUCTION Vol. 27 No. 2 (2025)
Publisher : Faculty of Animal Science, Jenderal Soedirman University in associate with the Animal Scientist Society of Indonesia (ISPI) and the Indonesian Association of Nutrition and Feed Science (AINI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jap.2025.27.2.408

Abstract

Grandparent Stock (GPS) serves as the genetic cornerstone of broiler production, influencing performance at both Parent Stock and commercial levels. This study evaluated and compared the productive and reproductive traits of three major GPS broiler strains—Ross, Cobb, and Hubbard—under commercial tropical conditions in Indonesia. Data from 104,415 birds (83,102 females; 21,313 males) were collected from two national poultry companies between 2019 and 2022. Parameters included mortality, feed intake, body weight, uniformity, egg production, egg weight, and hatchability. Analysis of Variance (ANOVA) and Duncan's test were applied. Cobb showed the lowest mortality during the grower phase (0.30%) and the highest body weight uniformity (80.71%). Ross had the lowest mortality in the laying phase (0.479%) and the highest egg production (49.13%). Hubbard achieved the highest final body weight (4,727 g) and egg weight (64.85 g) but recorded the highest mortality during laying (0.870%). No significant differences were found in cumulative feed intake (132,750–134,786 g/bird) or hatchability (>94.7%) across strains. These results suggest Cobb is best for uniformity and survivability, Ross for egg productivity, and Hubbard for maximizing output, although requiring more intensive management. Strain selection should align with production priorities and local farm conditions, considering factors such as climate adaptability, resource availability, and long-term sustainability. The findings provide valuable insights for optimizing broiler breeding programs in tropical regions, enhancing genetic potential, and improving overall production efficiency.