Body weight prediction of Belgian Blue crossbred using random forest

Authors

  • Lisa Praharani Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research Innovation Agency of the Republic of Indonesia, Bogor, Indonesia
  • Chalid Talib Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research Innovation Agency of the Republic of Indonesia, Bogor, Indonesia
  • Diana Andrianita Kusumaningrum Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research Innovation Agency of the Republic of Indonesia, Bogor, Indonesia
  • Yeni Widiawati Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research Innovation Agency of the Republic of Indonesia, Bogor, Indonesia
  • Santiananda Arta Asmarasari Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research Innovation Agency of the Republic of Indonesia, Bogor, Indonesia
  • Supardi Rusdiana Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research Innovation Agency of the Republic of Indonesia, Bogor, Indonesia
  • Zultinur Muttaqin Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research Innovation Agency of the Republic of Indonesia, Bogor, Indonesia
  • Ria Sari Gail Sianturi Indonesian Research Institute for Animal Production, Bogor, Indonesia
  • Elizabeth Wina Indonesian Research Institute for Animal Production, Bogor, Indonesia
  • Endang Sopian Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research Innovation Agency of the Republic of Indonesia, Bogor, Indonesia
  • Aqdi Faturahman Arrazy Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research Innovation Agency of the Republic of Indonesia, Bogor, Indonesia
  • Umi Adiati Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research Innovation Agency of the Republic of Indonesia, Bogor, Indonesia
  • Ferdy Saputra Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research Innovation Agency of the Republic of Indonesia, Bogor, Indonesia

Keywords:

Random forest; Belgian blue crossbred; body weight; morphometrics.

Abstract

Objective: The aim of this study was to predict the body weight (BW) of a Belgian Blue X Friesian Holstein (BB X FH) crossbred in Indonesia based on morphometrics using random forest. Materials and Methods: A total of 26 BB X FH crossbreds were observed for BW, chest weight (CW), body length (BL), hip height (HH), wither height (WH), and chest girth (CG) from 0, 30, 60, 90, 120, 150, 180, 210, 240, 270, and 300 days of age. Stepwise regression and random forest were performed using R 3.6.1. Results: The random forest results show that CG is an important variable in estimating BW, with an important variable value of 24.49%. Likewise, the results obtained by stepwise regression show that CG can be an indicator of selection for the BB X FH crossbred. The R squared value obtained from the regression is 0.83, while the R squared value obtained from the random forest (0.86) is greater than the regression. Conclusion: In conclusion, random forest produces a better model than stepwise regression. However, a good simple equation to use to estimate BW is CG.

Adv. Vet. Anim. Res., 11(1): 181-184, March 2024

http://doi.org/10.5455/javar.2024.k763

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Published

2024-03-31

How to Cite

Praharani, L., Talib, C., Kusumaningrum, D. A., Widiawati, Y., Asmarasari, S. A., Rusdiana, S., Muttaqin, Z., Sianturi, R. S. G., Wina, E., Sopian, E., Arrazy, A. F., Adiati, U., & Saputra, F. (2024). Body weight prediction of Belgian Blue crossbred using random forest. Journal of Advanced Veterinary and Animal Research, 11(1), 181–184. Retrieved from https://banglajol.info/index.php/JAVAR/article/view/76092

Issue

Vol. 11 No. 1 (2024)

Section

Short Communications

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Copyright (c) 2024 Lisa Praharani

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