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All Journal MEDIA PETERNAKAN - Journal of Animal Science and Technology Jurnal Ilmu Ternak Veteriner
A Anang
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Agriculture, Biological Sciences & Forestry Veterinary

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The use of monthly egg production records for genetic evaluation of laying hens Anang, A; Mielenz, M; Schuler, L; Preisinger, Rachmat
Indonesian Journal of Animal and Veterinary Sciences Vol 6, No 4 (2001)
Publisher : Indonesian Animal Sciences Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (138.753 KB) | DOI: 10.14334/jitv.v6i4.252

Abstract

This research addresses the possibilities of using monthly production records for genetic evaluation of laying hens with four different models and different data sets. The data were collected from a pure line of Lohmann Tierzucht GmbH at Cuxhaven in Germany for two generations from 1998 to 1999 with pedigree being traced back one generation. In total of 9735 hens from 220 sires and 1879 dams were analysed. The evaluated models were: (1) Cumulative Model (CM), (2) Multiple Trait Model (MTM), (3) Fixed Regression Model (FRM), and Random Regression Model (RRM). Variance components were estimated using Animal Model with REML and breeding values were predicted using BLUP Animal Model. The RRM is an interesting model for the evaluation. The RRM agrees with the laying curve over the whole evaluated period from the first to eleventh month production. Selection for an increased total production based on the first six month production with the RRM may not be useful. The integration of full year performance from the parent in a selection on the first six month production with the RRM improved the shape of the curve and increased the correlation with the full performance considerably. In addition, genetic evaluation of total production based on odd month production is sufficient for an efficiency of recording system.   Key words: Laying hens, cumulative model, multiple trait model, fixed regression model, random regression model
Suplementasi Fitase, Seng dan Tembaga dalam Ransum Sebagai Stimulan Pertumbuhan Ayam Broiler H Setiyatwan; W G Piliang; D.T H Sihombing; W Manalu; A Anang
Media Peternakan Vol. 30 No. 2 (2007): Media Peternakan
Publisher : Faculty of Animal Science, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (103.979 KB)

Abstract

Zinc and Cu have important roles in growth and immune system, but their bioavailability are low due to the phytic acid content in poultry diet. This experiment was conducted in order to obtain the best combination of phytase, Zn, and Cu as growth stimulants for broiler fed diet containing phytic acid. Two hundred eighty eight Day Old Chicks unsexed were allocated into nine treatment diets with four replications (eight chicks in each replicate). The birds were raised up to 42 days old. Combination of the treatment diets were: R1 (positive control), R2 (negative control), R3 (R2 + 132.70 ppm ZnO), R4 (R2 + 286.16 ppm CuSO4), R5 (R2 + 132.70 ppm ZnO + 286.16 ppm CuSO4), R6 (R2 + phytase 1000 FTU/kg), R7 (R2 + phytase 1000 FTU/kg + 132.70 ppm ZnO), R8 (R2 + phytase 1000 FTU/kg + 286.16 ppm CuSO4 ), R9 (R2 + phytase 1000 FTU/kg + 132.70 ppm ZnO + 286.16 ppm CuSO4). The results of this research indicated that the phytase supplementation (1000 FTU/kg), ZnO (132.70 ppm), and CuSO4 (286.16 ppm) in poultry diet 1) improved the body weight and feed conversion, but did not significantly influence the feed consumption, 2) increased serum Zn, and 3) increased the alkalin and phosphatase activity. Key words: phytase, zinc, copper, broiler, growth stimulant
The use of monthly egg production records for genetic evaluation of laying hens A Anang; M Mielenz; L Schuler; Rachmat Preisinger
Jurnal Ilmu Ternak dan Veteriner Vol 6, No 4 (2001): DECEMBER 2001
Publisher : Indonesian Center for Animal Research and Development (ICARD)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (138.753 KB) | DOI: 10.14334/jitv.v6i4.252

Abstract

This research addresses the possibilities of using monthly production records for genetic evaluation of laying hens with four different models and different data sets. The data were collected from a pure line of Lohmann Tierzucht GmbH at Cuxhaven in Germany for two generations from 1998 to 1999 with pedigree being traced back one generation. In total of 9735 hens from 220 sires and 1879 dams were analysed. The evaluated models were: (1) Cumulative Model (CM), (2) Multiple Trait Model (MTM), (3) Fixed Regression Model (FRM), and Random Regression Model (RRM). Variance components were estimated using Animal Model with REML and breeding values were predicted using BLUP Animal Model. The RRM is an interesting model for the evaluation. The RRM agrees with the laying curve over the whole evaluated period from the first to eleventh month production. Selection for an increased total production based on the first six month production with the RRM may not be useful. The integration of full year performance from the parent in a selection on the first six month production with the RRM improved the shape of the curve and increased the correlation with the full performance considerably. In addition, genetic evaluation of total production based on odd month production is sufficient for an efficiency of recording system.   Key words: Laying hens, cumulative model, multiple trait model, fixed regression model, random regression model
Co-Authors D.T H Sihombing H Setiyatwan L Schuler M Mielenz Rachmat Preisinger W G Piliang W Manalu