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All Journal Jurnal Ilmu Ternak Veteriner Livestock and Animal Research
Tike Sartika
Indonesian Research Institute for Animal Production
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Veterinary

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The productivity of 4th Generation KUB-2 Chicken Tike Sartika; Sofjan Iskandar
Jurnal Ilmu Ternak dan Veteriner Vol 24, No 4 (2019): December 2019
Publisher : Indonesian Center for Animal Research and Development (ICARD)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14334/jitv.v24i4.2033

Abstract

KUB-2 line of chicken has improved local chicken selected from the KUB-1 chicken line. KUB-2 was selected for more egg production and yellow shank. KUB-1 chicken has 64% various of black feather color, which sometimes tends to have unpreferred dark carcass. Yellow shank color has a positive correlation with the skin color of carcass. As many as 517 pullets of KUB-2 at 4th generation were divided into two groups of 194 pullets of KUB-2kk (yellow shank) and 323 pullets of KUB-2nk non-yellow shank). The chickens were raised intensively in the individual cages for the 24 weeks observation. Variables measured were age at first egg (AFE) bodyweight at first egg (BWFE), egg weight at first egg (EWFE), average egg weight (AEW), average egg production (AEP) during 24 weeks, feed conversion ratio (FCR) of 25-43 weeks of age, and mortality. The result showed that there was no statistically significant different (p>0.05) between KUB-2nk and KUB-2kk respectively for AFE of 156.2 d and 158.1 d, for BWFE of 1788 g and 1808 g, for EWFE of 31.32 g and 31.34 g, for AEP24 of 103.3 eggs or 61.5% and 101.9 eggs or 60.7%, and for FCR25-43 of 3.53 and 3.54. AEW increased with increasing age of hen, the mortality of the whole population was 0.98%.
Multivariate analysis of five chicken breed in Indonesia based on microsatellite allele frequency Ferdy Saputra; Tike Sartika; Anneke Anggraeni; Andi Baso Lompengeng Ishak; Komarudin Komarudin; Nurul Pratiwi
Livestock and Animal Research Vol 19, No 1 (2021): Livestock and Animal Research
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.538 KB) | DOI: 10.20961/lar.v19i1.43459

Abstract

Objective: This study tries to examine several multivariate methods in classifying genetic diversity using microsatellite allele frequency data.Methods: This study used microsatellite allele frequency data from White Leghorn (n = 48), Kampung (n = 48), Pelung (n = 24), Sentul (n = 24), and Black Kedu (n = 25) from Indonesian Research Institute for Animal Production. Allele frequency data were analyzed by the Neighbor-Joining (NJ) method using the POPTREE2 program. The data was also analyzed by the Principal Component Analysis (PCA), Correspondence Analysis (CA), and Hierarchical Clustering on Principal Components (HCPC) methods using the factoextra and FactoMineR packages in the R 4.0.0 program.Results: Correspondence Analysis (CA) found Sentul is more closer to Black Kedu. However, based on NJ, PCA, and HCPC showed Sentul is closer to Kampung. Based on the value of Dimension 1, Correspondence Analysis (80.7%) can explain greater variation than PCA (58.9%). However, CA method generated different results compared to NJ, PCA, and HCPC. NJ, PCA, and HCPC found four chicken clusters, namely cluster 1 (White Leghorn), cluster 2 (Pelung), cluster 3 (Black Kedu), and cluster 4 (Kampung and Sentul).Conclusions: In conclusion, HCPC is a better multivariate method for analyzing allele frequency data than PCA and CA. HCPC can be used to analyze allele frequency data better than PCA, because HCPC is a combination of methods from hierarchical clustering and principal components.
Co-Authors Andi Baso Lompengeng Ishak Anneke Anggraeni Ferdy Saputra Komarudin Komarudin Nurul Pratiwi Sofjan Iskandar