ArticleTropical animal health and production2020
Comparison of tree-based regression tree methods for predicting live body weight from morphological traits in Hy-line silver brown commercial layer and indigenous Potchefstroom Koekoek breeds raised in South Africa.
Article in Tropical animal health and production, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
- Comparison of data mining algorithms and regression method for prediction of live body weight using biometric traits of non-descript indigenous chickens.Tropical animal health and production · 2026Article
- 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
- Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms.Veterinary medicine and science · 2025Article
- Prediction of internal egg quality traits of Potchefstroom Koekoek and Lohmann Brown layers using classification and regression tree method.Archives animal breeding · 2025Article
- Predicting body weight of male Kuroiler chickens from linear body measurements using MARS and CART data-mining algorithms.Archives animal breeding · 2025Article
- Maximum vertical height during wing flapping of laying hens captured with a depth camera.PloS one · 2025Article
- Using Multivariate Adaptive Regression Splines to Estimate the Body Weight of Savanna Goats.Animals : an open access journal from MDPI · 2023Article
- Comparison of the data mining and machine learning algorithms for predicting the final body weight for Romane sheep breed.PloS one · 2023Article
- Predicting body weight of Kalahari Red goats from linear body measurements using data mining algorithms.Veterinary world · 2022Article
- Prediction of body weight from morphological traits of South African non-descript indigenous goats of Lepelle-Nkumbi Local Municipality using different data mining algorithm.Tropical animal health and production · 2022Article
- Multivariate characterisation of morpho-biometric traits of indigenous helmeted Guinea fowl (Numida meleagris) in Nigeria.PloS one · 2022Article
- Relationship among egg quality traits in Japanese quails and prediction of egg weight and color using data mining algorithms.Tropical animal health and production · 2021Article
- Use of multivariate adaptive regression splines for prediction of body weight from body measurements in Marecha (Camelus dromedaries) camels in Pakistan.Tropical animal health and production · 2021Article
- Prediction of live body weight based on body measurements in Thalli sheep under tropical conditions of Pakistan using cart and mars.Tropical animal health and production · 2021Article
- Modeling and predicting the growth of indigenous Harnai sheep in Pakistan: non-linear functions and MARS algorithm.Tropical animal health and production · 2021Article
- Use of MARS algorithm for predicting mature weight of different camel (Camelus dromedarius) breeds reared in Pakistan and morphological characterization via cluster analysis.Tropical animal health and production · 2021Article
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3 authors.
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Abstract
In animal breeding, more considerable attention is drawn to reveal the relationship between live body weight and morphological traits in identifying breed and species standards. The aim of this study was to predict live body weight from morphological characteristics in the Hy-line silver brown commercial layer and indigenous Potchefstroom Koekoek breed, native to South African. In the prediction of live body weight, eleven morphological measurements, i.e., wing length, back length, beak length, shank length, shank circumference, chest circumference, wingspan, keel length, body girth, toe length, and body length, were taken. As tree-based regression tree methods, predictive performances of CART, CHAID, and exhaustive CHAID algorithms were measured for body weight prediction. Among those, CART was found to be the best decision tree algorithm that gave the highest predictive accuracy. CART visual results reflected that the heaviest body weight mean (2.000 kg) was obtained from the chickens with 10.250 cm < WL ≤ 10.500 cm. As a result, it could be suggested that the CART decision tree might help to determine breed standards of the Hy-line silver brown commercial layer and, especially, indigenous Potchefstroom Koekoek breeds for breeding programs.
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