Final weight prediction from body measurements in Kıvırcık lambs using data mining algorithms

Şengül, Ömer; Çelik, Şenol

doi:https://doi.org/10.5194/aab-68-325-2025

Articles | Volume 68, issue 2

https://doi.org/10.5194/aab-68-325-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/aab-68-325-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 68, issue 2

Original study

|

21 May 2025

Original study |

| 21 May 2025

Final weight prediction from body measurements in Kıvırcık lambs using data mining algorithms

Ömer Şengül and Şenol Çelik

Model code and software

A language and environment for statistical computing. Vienna, Austria R Core Team https://www.R-project.org/

Short summary

For the purposes of this study, height at withers (HW), back height (BH), croup height (CH), chest depth (CD), body length (BL), chest width (CW), and chest circumference (CC) were measured in lambs. It was shown that it is possible to make a successful estimation of the live weights of lambs by using measurements of the morphological features listed.