Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms
The study suggests that machine learning algorithms, particularly gradient boosting and XGBoost, show promising potential in predicting the weaning weight of lambs. These insights may facilitate more informed decision-making in animal breeding and selection, potentially contributing to enhanced livestock management practices.
Authors
- Ali Osman Turgut (ORCID: https://orcid.org/0000-0001-6863-0939)
- Mehmet Eroğlu (ORCID: https://orcid.org/0000-0001-9471-6410)
- Mürsel Küçük (ORCID: https://orcid.org/0000-0002-0544-444X)
- Muhammed Furkan Önen (ORCID: https://orcid.org/0009-0000-4481-5891)
Institutions
- Siirt Üniversitesi (TR)
Publication Details
- Journal
- Veterinary Medicine and Science
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1002/vms3.70420
- Citations
- 4
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 7.27