ArticleAnimals : an open access journal from MDPI2022
Use of Multivariate Adaptive Regression Splines Algorithm to Predict Body Weight from Body Measurements of Anatolian buffaloes in Türkiye.
Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Multivariate adaptive regression spline modeling for estimating carotid artery plaque thickness in Chinese men with type 2 diabetes.The Journal of international medical research · 2026Article
- Evaluation of the performance of the Light Gradient Boosting Machine (LightGBM) algorithm in predicting live weight in different goat breeds.BMC veterinary research · 2026Article
- Application of Multivariate Adaptive Regression Splines to Estimate Fatty Liver Index in Healthy Young Taiwanese Men.Diagnostics (Basel, Switzerland) · 2026Article
- Investigation of factors affecting annual milk yield of different goat breeds using panel data analysis.PloS one · 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
- Using Multivariate Adaptive Regression Splines to Estimate Summed Stress Score on Myocardial Perfusion Scintigraphy in Chinese Women with Type 2 Diabetes: A Comparative Study with Multiple Linear Regression.Diagnostics (Basel, Switzerland) · 2025Article
- Predicting body weight of male Kuroiler chickens from linear body measurements using MARS and CART data-mining algorithms.Archives animal breeding · 2025Article
- Predicting Live Weight for Female Rabbits of Meat Crosses From Body Measurements Using LightGBM, XGBoost and Support Vector Machine Algorithms.Veterinary medicine and science · 2025Article
- Prediction of Body Weight by Using PCA-Supported Gradient Boosting and Random Forest Algorithms in Water Buffaloes (Animals : an open access journal from MDPI · 2024Article
- Using Multivariate Adaptive Regression Splines to Estimate the Body Weight of Savanna Goats.Animals : an open access journal from MDPI · 2023Article
- Estimation of Body Weight Based on Biometric Measurements by Using Random Forest Regression, Support Vector Regression and CART Algorithms.Animals : an open access journal from MDPI · 2023Article
- Inheritance of body size and ultrasound carcass traits in yearling Anatolian buffalo calves.Archives animal breeding · 2023Article
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Authors and funding
6 authors.
Funding
Abstract
Anatolian buffalo is an important breed reared for meat and milk in various regions of Türkiye. The present study was performed to estimate body weight (BW) from several body measurements, such as tail length (TL), shoulder height (SH), withers height (WH), body length (BL), chest circumference (CC), shank diameter (SD) and birth weight (BiW). The data set was taken from Muş Province of Türkiye. In this respect, 171 Anatolian buffaloes were used. To estimate the BW, different proportions of the training and test sets were used with the MARS algorithm. The optimal MARS was determined at a proportion of 70-30%. The MARS model displays the heaviest BW that can be produced by Anatolian buffalo according to tail length, body length, chest circumference and shoulder height. In conclusion, it could be suggested that the MARS algorithm may allow animal breeders to obtain an elite population and to determine the body measurements affecting BW as indirect selection criteria for describing the breed description of Anatolian buffalo and aiding sustainable meat production and rural development in Türkiye.
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