ArticleJournal of advanced veterinary and animal research2024
Body weight prediction of Belgian Blue crossbred using random forest.
Article in Journal of advanced veterinary and animal research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- A comparative evaluation of machine learning algorithms for predicting chicken egg weight from egg quality traits.Veterinary and animal science · 2026Article
- Prediction of body weight in indigenous sheep using random forest regression, support vector regression, and classification and regression trees algorithms.Veterinary and animal science · 2025Article
- Smarter ways to predict rabbit body weight across multiple breeds.Journal of advanced veterinary and animal research · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
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 Conclusion: In conclusion, random forest produces a better model than stepwise regression. However, a good simple equation to use to estimate BW is CG.
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Registered trials
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