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March 1, 2024American Journal of Animal and Veterinary SciencesOpen Access

Comparison of Multivariate Adaptive Regression Splines and Classification Regression Tree for Prediction of Body Weight of Bapedi Sheep

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Authors

MMMadumetja Cyril MathapoRMRamaisela Barley MthembuATAlbino Joas Tsenane

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Overview

Comparative study shows classification and regression trees accurately predict body weight in Bapedi sheep, suggesting heart girth strongly supports weight enhancement.

Key Points

  • Classification and regression tree modeling best predicted body weight in Bapedi sheep, outperforming multivariate adaptive regression splines across goodness of fit criteria.
  • Heart girth correlated most strongly with body weight at r = 0.89, whereas sternum height demonstrated a lower significant association at r = 0.53 across one hundred animals.
  • Assessment of morphological indicators evaluated rump height and withers height, suggesting that heart girth selection may enable effective weight enhancement in breeding.

Cite This Study

Mathapo et al. (2024) studied this question.

synapsesocial.com/papers/68e76bdeb6db6435876e2304https://doi.org/10.3844/ajavsp.2024.226.232
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