27 citations as recorded by crossref.

1. Prediction of slaughter weight with body components and liner body measurement of Hararge cattle at Haramaya University abattoir, Ethiopia T. Wolkaro et al. https://doi.org/10.1016/j.heliyon.2024.e41219
2. Leveraging Visual Data for Accurate Body Weight Prediction in Surti Goats F. Khalid et al. https://doi.org/10.47836/jimc.1.1.08
3. Beef Cattle Body Weight Estimation Based on Dual-View RGB Images Z. Li et al. https://doi.org/10.3390/ani16162532
4. Biometric differentiation of growth traits in pullet breeds in Southwest Nigeria A. Adeoye et al. https://doi.org/10.2478/ats-2023-0019
5. Recent Advances in Vision-Based Beef Cattle Body Measurement Technologies X. Deng et al. https://doi.org/10.3390/ani16132058
6. Using the community-based breeding program (CBBP) model as a collaborative platform to develop the African Goat Improvement Network—Image collection protocol (AGIN-ICP) with mobile technology for data collection and management of livestock phenotypes M. Woodward-Greene et al. https://doi.org/10.3389/fgene.2023.1200770
7. Morphometric traits increase genetics selection accuracy for body weight in Bali cattle V. Ani Nurgiartiningsih et al. https://doi.org/10.1080/1828051X.2025.2606507
8. Characteristics of Physiological Parameters of Japanese Black Calves Relate to Carcass Weight S. Arakawa et al. https://doi.org/10.3390/ani13030487
9. POSSIBILITIES OF USING MORPHOMETRIC MEASUREMENTS AS A TOOL TO ESTABLISH A LIVE BEEF CATTLE GRADING SYSTEM IN TUNISIA A. Slimene et al. https://doi.org/10.36899/JAPS.2021.5.0322
10. Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms M. Eroğlu et al. https://doi.org/10.1002/vms3.70420
11. The effect of ginger (Zingiber officinale L.) liquid extract on growth, immune response, antioxidant defence mechanism, and general health of Holstein calves S. Özkaya et al. https://doi.org/10.1007/s11250-024-03972-6
12. Estimation of carcass weight of Hanwoo (Korean native cattle) as a function of body measurements using statistical models and a neural network D. Lee et al. https://doi.org/10.5713/ajas.19.0748
13. Morphological characterization of the Polatli sheep in terms of live weight using data mining algorithms R. Delialioglu et al. https://doi.org/10.1007/s11250-023-03811-0
14. Health and Growth Performance During the Pre-Weaning Phase of Angus × Holstein Crossbred and Holstein Calves Managed Under the Same Conditions M. Moroz et al. https://doi.org/10.3390/dairy6030020
15. Morphometric measurements and the relationship with body weight in the Sudanese Dorcas Gazelle and Bohor Reedbuck A. Rashad et al. https://doi.org/10.1038/s41598-022-20156-0
16. Comparative assessment of growth performance of indigenous and cross-bred calves subjected to combined stressors (heat and nutritional) C. Shashank et al. https://doi.org/10.1007/s00484-023-02511-6
17. Novel polymorphisms of SIX4 gene and their association with body measurement traits in Qinchuan cattle G. Wang et al. https://doi.org/10.1016/j.gene.2014.01.042
18. Designing Statistical Models for Holstein Rearing Heifers’ Weight Estimation from Birth to 15 Months Old Using Body Measurements L. Turini et al. https://doi.org/10.3390/ani11071846
19. Siyah Alaca Sığırlarda Farklı Büyüme ve Gelişme Dönemlerindeki Vücut Ölçülerinden Canlı Ağırlık Tahmininde Kullanılan Veri Madenciliği Algoritmalarının Karşılaştırılması G. COŞKUN et al. https://doi.org/10.33724/zm.1092837
20. Estimation of Live Weight from 2D Digital Images of Simmental Cattle Grazing in Kars Province S. Özkaya et al. https://doi.org/10.51970/jasp.1748591
21. Effects of Bacillus licheniformis and Combination of Probiotics and Enzymes as Supplements on Growth Performance and Serum Parameters in Early-Weaned Grazing Yak Calves J. Zhou et al. https://doi.org/10.3390/ani13050785
22. Growth Performance of Arsi, Borana, Harar and HF-Crossbred Bulls Finished under Similar Feeding Condition A. Musa et al. https://doi.org/10.4236/ojas.2022.122013
23. Image-based body mass prediction of heifers using deep neural networks R. Dohmen et al. https://doi.org/10.1016/j.biosystemseng.2021.02.001
24. Models to predict live weight from heart girth in crossbred beef heifers D. Chico-Alcudia et al. https://doi.org/10.1007/s11250-022-03276-7
25. Identifying the Most Important Linear Body Depth Traits Associated with Milk Yield in Dairy Cattle S. Prabowo & M. Garip https://doi.org/10.5965/223811712232023453
26. The Effect of the Slaughter Weight on Carcass Composition, Body Measurements and Veal Quality of Holstein Calves K. Vavrišínová et al. https://doi.org/10.11118/actaun201967051235
27. Body measures, growth curves and body weight prevision of alpacas ( Vicugna pacos ) reared in Italy M. Ablondi et al. https://doi.org/10.1080/1828051X.2023.2273982