ArticleVeterinary world2022
Predicting body weight of Kalahari Red goats from linear body measurements using data mining algorithms.
Article in Veterinary world, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genomic Advancements in Assessing Growth Performance, Meat Quality, and Carcass Characteristics of Goats in Sub-Saharan Africa: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- Relationship Between Live Body Weight and Linear Body Measurements in Goats: A Meta-Analysis Using a Multilevel Random-Effects Model.Animals : an open access journal from MDPI · 2026Review
- A comparative evaluation of machine learning algorithms for predicting chicken egg weight from egg quality traits.Veterinary and animal science · 2026Article
- The effect of litter size and birth weight on the pre-weaning survivability of Kalahari Red goats.Tropical animal health and production · 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
- Comparative application of machine learning approaches for body weight prediction in non-descript indigenous goats at different growth stages.Veterinary world · 2025Article
- Application of growth models to Boer x Mashona and Kalahari x Mashona goats under extensive semi-arid conditions.Tropical animal health and production · 2025Article
- Predicting genetic merit in Harnali sheep using machine learning techniques.Tropical animal health and production · 2025Article
- Shrinkage and tree-based regression methods for the prediction of the live weight of Akkaraman sheep using morphological traits.Tropical animal health and production · 2024Article
- Discriminant Analysis Approach in Morphometric Differentiation and Characterization of Serbian Autochthonous Goats.Animals : an open access journal from MDPI · 2023Article
- Using Multivariate Adaptive Regression Splines to Estimate the Body Weight of Savanna Goats.Animals : an open access journal from MDPI · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aim: The Kalahari Red goat breed is the finest meat-producing species in South Africa, and its coat color ranges from light to dark red-brown. A practical approach to estimating their body weight (BW) using linear body measurements is still scarce. Therefore, this study aimed to determine the best data mining technique among classification and regression trees (CART), Chi-square automatic interaction detection (CHAID), and exhaustive CHAID (Ex-CHAID) for predicting the BW of Kalahari Red goats. Materials and Methods: This study included 50 Kalahari Red goats (does = 42 and bucks = 8) aged 3-5 years. Body length (BL), heart girth (HG), rump height (RH), height at withers (WH), sex, and age were the essential indicators to estimate BW. The best model was chosen based on the goodness of fit, such as adjusted coefficient of determination (Adj. R Results: The SD values of the ratio ranged from 0.32 (CART) to 0.40 (Ex-CHAID). The greatest R Conclusion: This study reveals that CART is the optimum model with BL, HG, and WH as the essential linear body measurements for estimating BW for Kalahari Red goats. The updated records will assist the rural farmers in making precise judgments for various objectives, such as marketing, breeding, feeding, and veterinary services in remote areas where weighing scales are unavailable.
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