MARATTO

article · Journal of Applied Animal Research

Prediction of body weight from linear body measurement traits of Nguni goats in the Limpopo province

20255 citationsOpen accessUniversity of Limpopo

Abstract

The study aims to determine the relationship between body weight and linear body measurement traits and to establish a model to predict body weight from linear body measurement traits using MARS and CART. A total of 426 Nguni goats (Male = 69 and female = 357) aged between one to four years were used for body weight (BW) and some linear body measurements such as heart girth (HG), body length (BL) and withers height (WH). The average body weight of male and female goats was 32.50 and 33.02 kg, respectively. MARS and CART were used to predict BW from some morphometric traits. Correlation results indicated that in female goats, BW had a significantly positive correlation (P < 0.01) with HG (r = 0.84). While in male goats, BW had a highly significant positive correlation (P < 0.01) with BL (r = 0.79). The CART model indicated that HG was the best predictor variable for BW, while MARS found BL > 77 cm as the best predictor of BW in the study. CART outperformed MARS model with high R2 = 0.76, Adj R2 = 0.76 and r = 0.87. The study concludes that HG can be used as a predictor of BW.

Research topics

  • Genetic and phenotypic traits in livestock
  • Livestock Management and Performance Improvement
  • Animal Diversity and Health Studies

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1080/09712119.2025.2462581

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.