A first meta-analysis study on body weight prediction method for beef cattle based on digital image processing

Authors

  • Frediansyah Firdaus Research Center for Animal Husbandry, National Research and Innovation Agency, Cibinong Science Center, Bogor, Indonesia
  • Bayu Andri Atmoko Research Center for Animal Husbandry, National Research and Innovation Agency, Cibinong Science Center, Bogor, Indonesia
  • Alek Ibrahim Research Center for Animal Husbandry, National Research and Innovation Agency, Cibinong Science Center, Bogor, Indonesia
  • Tristianto Nugroho Department of Animal Production, Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, Indonesia
  • Endang Baliarti Department of Animal Production, Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, Indonesia
  • Panjono Panjono Department of Animal Production, Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, Indonesia

Keywords:

Body weight; prediction; metaanalysis; beef cattle; digital image.

Abstract

Objective: This study aimed to develop a method for predicting the body weight of beef cattle using meta-analysis based on digital image processing. Materials and Methods: The meta-analysis process commenced by collecting studies with the keywords “beef cattle,” “correlation,” “digital image,” and “body weight” from Google Scholar and Science Direct. The obtained studies were reviewed papers based on their titles, abstracts, and content, and then categorized by authors, year, country, sample size, and correlation coefficient. A digital image of body measurements used included wither and hip height, chest depth, heart girth, body length, and top view. The statistical analysis was conducted by calculating effect sizes using the correlation coefficient and sample sizes. Results: The results of the meta-analysis, based on 3,017 cattle from 13 selected studies, showed the highest and lowest correlation coefficients for the top view variable and hip height. Based on cattle breed, significant differences (p < 0.05) were observed in the wither height variable with correlation coefficients of 0.94, 0.79, and 0.66 for Hanwoo, Holstein, and Simmental, respectively. Based on sex, significant differences (p < 0.05) were seen in the wither height variable, with correlation coefficients of 0.73 for males and 0.90 for females, while for hip height, the values were 0.70 and 0.87, respectively. Conclusion: In conclusion, to achieve the best accuracy in predicting the body weight of beef cattle based on a digital image, the top view variable can be used. However, for ease of field experimentation, body length or chest depth can also be used while taking breed and sex categories into the model.

Adv. Vet. Anim. Res., 11(1): 153-160, March 2024

http://doi.org/10.5455/javar.2024.k760

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Published

2024-03-31

How to Cite

Firdaus, F., Atmoko, B. A., Ibrahim, A., Nugroho, T., Baliarti, E., & Panjono, P. (2024). A first meta-analysis study on body weight prediction method for beef cattle based on digital image processing. Journal of Advanced Veterinary and Animal Research, 11(1), 153–160. Retrieved from https://banglajol.info/index.php/JAVAR/article/view/76089

Issue

Vol. 11 No. 1 (2024)

Section

Original Articles

License

Copyright (c) 2024 Frediansyah Firdaus

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