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Animal Production
Published by Universitas Jenderal Soedirman
ISSN : 14112027     EISSN : 25415875     DOI : https://doi.org/10.20884/1.jap.2024.26.2.298
Core Subject : Economy, Health, Agriculture,
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Veterinary
Animal Production: Indonesian Journal of Animal Production is a peer-reviewed journal published by the Faculty of Animal Science, Jenderal Soedirman University in association with the Animal Scientist Society of Indonesia (ISPI), the Indonesian Association of Nutrition and Feed Science (AINI), and the Indonesian Veterinary Medical Association (PDHI). The journal was established in 1999 and gained its first accreditation No. 52/Dikti/Kep/2002 by the Directorate General of Higher Education (DIKTI), Department of National Education of the Republic of Indonesia subsequently followed by accreditation No. 81/DIKTI/Kep/2011. The latest accreditation was in 2017 by the Directorate General or Research and Development, Ministry of Research and Technology and Higher Education (Kemristekdikti) No. 32a/E/KPT/2017. Animal Production: Indonesian Journal of Animal Production is listed in SINTA index and gained Score 2 No. 30/E/KPT/2018. Animal Production: Indonesian Journal of Animal Production publishes three times a year, starting in 2005 and available online since May 4, 2011. The journal coverage focused on small-scale livestock farming and technologies, including the recent scientific development in animal production, including all aspects of nutrition, breeding, reproduction, post-harvest processing, and socio-economics. All articles are available online. The full text is available in pdf format and can be downloaded for free. Animal Production: Indonesian Journal of Animal Production has been indexed by Crossref, SINTA, Google Scholar, BASE, OAJI, and Dimensions. Starting Vol. 22 No. 1 (2020), the papers have been and will be published on our new website (http://jap.fapet.unsoed.ac.id), as the continuation of our previous but still active website (http://animalproduction.net).
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Hewan dan Zoologi
Articles 11 Documents
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Search results for , issue "Vol. 25 No. 2 (2023)" : 11 Documents clear
Study of Non-Genetic Factors Affecting Dairy Cow's Milk Production and the Development of Correction Factors for Selection of FH Cattle in Indonesia Susanto, Agus; Purwantini, Dattadewi; Agus Santosa, Setya; Puspita Candrasari, Dewi
ANIMAL PRODUCTION Vol. 25 No. 2 (2023)
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.2023.25.2.221

Abstract

The purpose of this study is to identify the non-genetic variables that have a substantial impact on the milk output per lactation of FH dairy cows at BBPTUHPT Baturraden and to construct variables' correction factors. The National Dairy Cow and Forage Breeding Center (BBPTUHPT) of Baturraden provided the secondary data for the study, which included 1,942 unique records of the amount of milk produced per lactation by 1,015 FH dairy cows born between 2000 and 2014 (a total of 1,015 lactation records). Milk output per lactation, the number of milking days (100–600), the age at calving (575–2,993 days), the lactation phase (lactation 1-6), and the season of birth were among the studied variables. The F test was used to examine the impact of non-genetic factors on the amount of milk cows produce per lactation (ANOVA). The impact of season on milk output per lactation was examined using a student t-test. Utilizing the multivariate least squares method, correction factors were created. Age at calving, which ranges from 1750 to 2000 days, milking days, which range from 300 to 350, and the dry season serve as the primary benchmarks for constructing correction factors. The R program was used to generate and run statistical tests and graphic representation. The findings indicated that the age of calving and lactation period had a very strong correlation (r= 0.94). The number of milking days, age at calving, and season at birth all significantly affected milk output per lactation, with the variance contributing 84.16 percent to the overall variation, according to the results of multivariate analysis (P < 0.01). Actual milk production had a mean (standard deviation) of 3710.55 kg, while adjusted milk production had a mean (standard deviation) of 5167.91 kg. The adjustment parameters can lower the variation in milk production each lactation by 57.92%. (43.00 percent vs 18.09 percent). Conclusion: Non-genetic variability was successfully reduced by correcting milk production data on the number of days of milking, age at calving, and season at birth.

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