Analisis Perbedaan Jenis Domba Dengan Formula Pakan Yang Sama
DOI:
https://doi.org/10.36312/jar.v4iSpecial%20Issue.3353Keywords:
Domba dorper, Domba merino, konsumsi pakan, PBBH, FCRAbstract
Penelitian ini bertujuan untuk menganalisis perbedaan performa antara domba Dorper dan Merino yang diberikan formula pakan yang sama. Penelitian dilaksanakan di Peternakan Amani Farm, Karanganyar, selama satu bulan menggunakan 12 ekor domba (6 Dorper dan 6 Merino) dengan pakan terdiri dari 60% konsentrat dan 40% hijauan. Rancangan penelitian menggunakan Rancangan Acak Lengkap (RAL) dengan dua perlakuan dan enam ulangan. Variabel yang diamati meliputi konsumsi pakan (Feed Intake/FI, g/ekor/hari), pertambahan bobot badan harian (PBBH, g/ekor/hari), dan feed conversion ratio (FCR, tanpa satuan). Data dianalisis menggunakan uji T dengan tingkat signifikansi ?=0,05. Hasil penelitian menunjukkan bahwa domba Dorper memiliki FI lebih tinggi (39,58 g/ekor/hari) dibandingkan domba Merino (37,97 g/ekor/hari), PBBH lebih tinggi (63,7 g/ekor/hari) dibandingkan Merino (55,9 g/ekor/hari), serta FCR lebih rendah (22,01) dibandingkan Merino (24,23). Perbedaan tersebut signifikan pada tingkat ?=0,05, sehingga dapat disimpulkan bahwa domba Dorper lebih unggul untuk program penggemukan dengan kondisi pakan yang sama.
References
Abebe, A. (2015). Growth Performance of Dorper and its F1 Crossbreds at Debre-Birhan Agricultural Research Center. Developing Country Studies, 5, 90-98.
Abebe, A., Berhane, G., Gizaw, S., Getachew, T., & Haile, A. (2023). Effect of genotype and environment on the productive and survivability traits of lambs under a community-based management system. Journal of Agriculture and Food Research. https://doi.org/10.1016/j.jafr.2023.100644.
Alemseged, Y., & Hacker, R. (2014). Introduction of Dorper sheep into Australian rangelands: implications for production and natural resource management. Rangeland Journal*, 36, 85-90. https://doi.org/10.1071/RJ13034.
Brand, T., Westhuizen, E., Merwe, D., & Hoffman, L. (2017). Effect of days in feedlot on growth performance and carcass characteristics of Merino, South African Mutton Merino and Dorper lambs. South African Journal of Animal Science, 47, 26-33. https://doi.org/10.4314/SAJAS.V47I1.5.
Deribe, B., Tesema, Z., Lakew, M., Zegeye, A., Kefale, A., Shibesh, M., Yizengaw, L., & Belayneh, N. (2023). Growth and growth curve analysis in Dorper × Tumele crossbred sheep under a smallholder management system. Translational Animal Science, 7. https://doi.org/10.1093/tas/txad034.
Gebreyowhens, W., Regesa, M., & Esifanos, A. (2017). Improving live body weight gain of local sheep through crossbreeding with high yielding exotic Dorper sheep under smallholder farmers. International Journal of Livestock Production, 8, 67-71. https://doi.org/10.5897/IJLP2016.0316.
Harten, S., Brito, R., Almeida, A., Scanlon, T., Kilminster, T., Milton, J., Greeff, J., Oldham, C., & Cardoso, L. (2013). Gene expression of regulatory enzymes involved in the intermediate metabolism of sheep subjected to feed restriction. Animal: an international journal of animal bioscience, 7 3, 439-45. https://doi.org/10.1017/S1751731112001589.
Hidayat, R., Ramdani, D., & Noor, Y. (2021). Dorper sheep development in Indonesia. International Seminar on Livestock Production and Veterinary Technology. https://doi.org/10.14334/PROC.INTSEM.LPVT-2021-P.4.
Joy, A., Dunshea, F., Leury, B., DiGiacomo, K., Clarke, I., Zhang, M., Abhijith, A., Osei-Amponsah, R., & Chauhan, S. (2020). Comparative Assessment of Thermotolerance in Dorper and Second-Cross (Poll Dorset/Merino × Border Leicester) Lambs. Animals: an Open Access Journal from MDPI, 10. https://doi.org/10.3390/ani10122441.
Liu, Y., Liu, N., Yao, X., & Han, J. (2022). Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation. ArXiv, abs/2210.06780. https://doi.org/10.48550/arXiv.2210.06780.
Lucio, R., Sesento, L., Bedolla, J., & Cruz, Á. (2020). Effect of a food diet and weight gain on a fattening of sheep of the Dorper breed. European Journal of Endocrinology, 26-30. https://doi.org/10.35429/eje.2020.13.7.26.30.
McGrath, S., Street, S., Krebs, G., Ataollahi, F., Bhanugopan, M., & Friend, M. (2021). Utilising dual-purpose crops to produce prime lambs: comparison of White Dorper and Merino sheep on crops and pasture. Animal Production Science. https://doi.org/10.1071/AN19139
Merwe, D., Brand, T., & Hoffman, L. (2020). Premium lamb production of South African sheep breed types under feedlot conditions. South African Journal of Animal Science, 50, 578-587. https://doi.org/10.4314/SAJAS.V50I4.9.
Munn, A., Alemseged, Y., Vendl, C., Stewart, M., & Leggett, K. (2016). Comparative daily energy expenditure and water turnover by Dorper and Merino sheep measured using doubly labelled water. Rangeland Journal, 38, 361-366. https://doi.org/10.1071/RJ15083.
Ocak, S., Ogun, S., & Y?lmaz, O. (2016). Dorper sheep utilizing feed resources efficiently: a Mediterranean case study. Revista Brasileira De Zootecnia, 45, 489-498. https://doi.org/10.1590/S1806-92902016000800010.
Ojango, J., Okpeku, M., Osei-Amponsah, R., Kugonza, D., Mwai, O., Changunda, M., & Olori, V. (2023). Dorper sheep in Africa: A review of their use and performance in different environments. CABI Reviews. https://doi.org/10.1079/cabireviews.2023.0042.
Olagbegi, B., Chikwanha, O., Katiyatiya, C., Marais, J., Molotsi, A., Dzama, K., & Mapiye, C. (2023). Physicochemical, volatile compounds, oxidative and sensory profiles of the Longissimus muscle of six South African sheep breeds. Animal Production Science. https://doi.org/10.1071/an22057.
Ozmutlu, H. (2009). Markovian analysis for automatic new topic identification in search engine transaction logs. Applied Stochastic Models in Business and Industry, 25, 737-768. https://doi.org/10.1002/ASMB.V25:6.
Palma, M., Scanlon, T., Kilminster, T., Milton, J., Oldham, C., Greeff, J., Matzapetakis, M., & Almeida, A. (2016). The hepatic and skeletal muscle ovine metabolomes as affected by weight loss: a study in three sheep breeds using NMR-metabolomics. Scientific Reports, 6. https://doi.org/10.1038/srep39120.
Park, C., Kim, B., & Kim, G. (2017). Attend to You: Personalized Image Captioning with Context Sequence Memory Networks. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6432-6440. https://doi.org/10.1109/CVPR.2017.681.
Ribeiro, D., Scanlon, T., Kilminster, T., Martins, C., Greeff, J., Milton, J., Oldham, C., Freire, J., Mourato, M., & De Almeida, A. (2020). Mineral profiling of muscle and hepatic tissues of Australian Merino, Damara and Dorper lambs: Effect of weight loss. Journal of animal physiology and animal nutrition. https://doi.org/10.1111/jpn.13339.
Scanlon, T., Almeida, A., Burgel, A., Kilminster, T., Milton, J., Greeff, J., & Oldham, C. (2013). Live weight parameters and feed intake in Dorper, Damara and Australian Merino lambs exposed to restricted feeding. Small Ruminant Research, 109, 101-106. https://doi.org/10.1016/J.SMALLRUMRES.2012.08.004.
Snyman, M., & Herselman, M. (2005). Comparison of productive and reproductive efficiency of Afrino, Dorper and Merino sheep in the False Upper Karoo. South African Journal of Animal Science, 35, 98-108. https://doi.org/10.4314/SAJAS.V35I2.4028
Street, S., Krebs, G., Clayton, E., & Bhanugopan, M. (2023). Response to Exogenous Administration of Specific Hormones and Metabolites on Circulating Hormone and Metabolite Concentrations Does Not Vary between Merino and Dorper Sheep. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4332375.
Su, W., Wang, J., & Lochovsky, F. (2010). Record Matching over Query Results from Multiple Web Databases. IEEE Transactions on Knowledge and Data Engineering 22, 578-589. https://doi.org/10.1109/TKDE.2009.90.
Teklebrhan, T., Urge, M., Mekasha, Y., & Baissa, M. (2013). Pre-weaning growth performance of crossbred lambs (Dorper × indigenous sheep breeds) under semi-intensive management in eastern Ethiopia. Tropical Animal Health and Production, 46, 455 - 460. https://doi.org/10.1007/s11250-013-0513-1.
Wanjala, G., Kichamu, N., Strausz, P., Astuti, P., & Kusza, S. (2023). On-station comparative analysis of reproductive and survival performance between Red Maasai, Dorper, and Merino sheep breeds. Animal: an international journal of animal bioscience, 17 3, 100715. https://doi.org/10.1016/j.animal.2023.100715
Yuhato., Cai, G., Chen, J., Yang, X., Hua, G., Han, D., Li, X., Feng, D., & Deng, X. (2024). Combined transcriptome and metabolome analysis reveals breed-specific regulatory mechanisms in Dorper and Tan sheep. BMC Genomics, 25. https://doi.org/10.1186/s12864-023-09870-9.
Zhou, G., Zhou, Y., He, T., & Wu, W. (2016). Learning semantic representation with neural networks for community question answering retrieval. Knowl. Based Syst, 93, 75-83. https://doi.org/10.1016/j.knosys.2015.11.002
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