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Sumiati
Departemen Ilmu Nutrisi dan Teknologi Pakan, Fakultas Peternakan, Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry

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Evaluasi Kebutuhan Nutrien dan Suplementasi Zinc untuk Calon Galur Ayam IPB-D2 Fase Pre-layer: Evaluation of Nutritional Requirements and Zinc Supplementation for IPB-D2 Prospective Chicken Lines in the Pre-Layer Phase Fadhilah Dhani Santika Falah; Sumiati; Cece Sumantri; Dwi Margi Suci
Jurnal Ilmu Nutrisi dan Teknologi Pakan (Nutrition and Feed Technology Journal) Vol. 20 No. 3 (2022): Jurnal Ilmu Nutrisi dan Teknologi Pakan
Publisher : Departemen Ilmu Nutrisi dan Teknologi Pakan Fakultas Peternakan Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jintp.20.3.123-129

Abstract

This study aimed to evaluate nutrient requirements and zinc supplementation for IPB D-2 pre-layer chicken line candidates on performance, blood profile, and blood malondialdehyde (MDA). This study used 200 of 16 weeks IPB-D2 chickens line candidates reared until 19 weeks of age (pre-layer phase). This study used a completely randomized design (CRD) with 2 treatments and 10 replications. The treatment rations were formulated to fill the chicken nutrient requirements according to Lohman (2020) without the addition of Zinc and with the addition of 120 ppm Zinc. The data were analyzed using the T test. The results showed that the ration supplemented with 120 ppm zinc did not significantly affect performance, but it was able to increase body weight uniformity. The 120-ppm Zinc supplementation significantly (p<0.05) decreased erythrocytes, however it tended to lower blood MDA. In conclusion, 120 ppm Zinc supplementation in the ration is sufficient to meet the nutrient requirement of IPB-D2 chicken line candidates in the pre-layer phase. Key words: IPB-D2 chicken line candidates, Zinc, performance, blood profile, MDA
Model Pendugaan Energi Metabolis Pakan dan Bahan Pakan Ayam Broiler Berdasarkan Analisis Proksimat dan Energi Bruto: Estimation Modelling of Metabolizable Energy in Broiler Ration and Feedstuffs based on Proximate Analysis and Gross Energy Febi Tri Wahyudi Wahyu; Sumiati; Widya Hermana
Jurnal Ilmu Nutrisi dan Teknologi Pakan (Nutrition and Feed Technology Journal) Vol. 20 No. 3 (2022): Jurnal Ilmu Nutrisi dan Teknologi Pakan
Publisher : Departemen Ilmu Nutrisi dan Teknologi Pakan Fakultas Peternakan Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jintp.20.3.104-110

Abstract

This study aimed to make estimation model of metabolizable energy (ME) of broiler chicken ration and feedstuffs based on proximate analysis and gross energy (GE). The estimation model used multiple and simple linear regression analysis with in vivo data approach. A total of 34 starter commercial ration data, 33 finisher commercial ration data, 17 experimental ration data, 14 corn data, 8 palm kernel cake (PKC) data from Center for Quality Testing and Feed Certification Laboratory and other research while the moisture content (MC), ash, crude protein (CP), ether extract (EE), crude fiber (CF), GE and ME were used as database and analyzed using SPSS version 20. The results showed that ME estimation using multiple regression equation for starter commercial ration ME = 2,444.89 + 201.34x(MC) - 415.85x(ash) - 0.87x(CP) + 282.58x(EE) 284.96x(CF), finisher commercial ration ME = 6,451.05 - 244.99x(MC) - 226.72x(ash) - 101.40x(EE) + 363.12x(CF), experimental ration ME = 3,001.07 + 41.39x(MC) - 19.49x(ash) - 12.82 x(CP) + 87.31x(EE) - 160.99x(CF), corn ME= 8,504.07- 301.32x(MC) + 196.41x(ash) -252.58x(CP) + 114.52x(EE) + 47.99x(CF) and PKC ME = 6,197.28 - 111.45x(CF) while linear equation for starter commercial ration ME= 3,821.79 - 0.15GE, finisher commercial ration ME = 12,266.23 - 2.19 (GE), research ration ME= 1,416.83 + 0.398x(GE), corn ME= -2,958.80 + 1.68x(GE), PKC ME = -5,769.41 + 2.09x(GE). These two models could be used to estimate ME content in commercial finisher ration, experimental ration, corn, and PKC whereas both models could not be used for commercial feed starter. Key words: chicken feed, corn, metabolizable energy, palm kernel cake, regression analysis
Co-Authors Cece Sumantri Dwi Margi Suci Fadhilah Dhani Santika Falah Febi Tri Wahyudi Wahyu Hermana, Widya