Introduction of a standardized semi-quantitative body condition scoring system for cattle and pigs in the Democratic Republic of the Congo

To improve the standardization of veterinary assessments of livestock health and welfare across the Democratic Republic of the Congo (DRC), we piloted and validated the implementation of a multispecies semiquantitative six-point body condition scoring (BCS) system for use in farms, abattoirs, and free-range village herds. BCS systems indicating animal energy balance and overall systemic health are critical to rapid and accurate veterinary surveillance to prevent the spread of zoonotic disease and ensure a safe food supply, among other One Health implications. Livestock species may be intermingled in Congolese agricultural settings, requiring a standard BCS scale; we harmonized existing species-specific scales to improve traditional approaches limited to qualitative assessment only. With a team of Congolese veterinarians and technicians, we completed 124 site visits across nine provinces between June 2023 and July 2024, comparing BCS ratings with various animal health indicators to identify patterns and relationships across 1038 swine and 1157 bovine subjects. Results indicate BCS ratings varied significantly by site type (p < 0.001) and age (p < 0.001), as well as between animals with reported histories of illness (p < 0.001) and lesions at the time of sampling (p = 0.089). At selected sites, the investigation team achieved an agreement with a maximum difference of 1 score unit between raters in an assessment of inter-rater reliability (n = 36, κ = 0.47, 95 % CI: 0.22-0.73) and qualitatively reported improved assessment precision with the six-point system compared to previous unstandardized processes.

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Publication Details

Journal
Veterinary and Animal Science
Published
2026-02-18
DOI
https://doi.org/10.1016/j.vas.2026.100601
Primary Topic
Animal Disease Management and Epidemiology
Type
article
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article

Introduction of a standardized semi-quantitative body condition scoring system for cattle and pigs in the Democratic Republic of the Congo

Augustin Tshibwabwa Twabela, Patrick K Mukadi, Carleigh Melofchik, Emmanuel Hasivirwe Vakaniaki et al.
Veterinary and Animal Science
Animal Disease Management and Epidemiology
article

Introduction of a standardized semi-quantitative body condition scoring system for cattle and pigs in the Democratic Republic of the Congo

Augustin Tshibwabwa Twabela, Patrick K Mukadi, Carleigh Melofchik, Emmanuel Hasivirwe Vakaniaki, Paige Rudin Kinzie, Daddy Kanonge, Nicole A Hoff, Milette Mwfankang, Alex Madidi L’k’ye, Jean-Jacques Muyembe-Tamfum, Jean Mona, Boniface Lombe, Placide Mbala-Kingebeni, Megan Halbrook, Lisa E. Hensley, Saraina Adams, Anne W. Rimoin, Danae Witte, Sydney Merritt
article en

Abstract

To improve the standardization of veterinary assessments of livestock health and welfare across the Democratic Republic of the Congo (DRC), we piloted and validated the implementation of a multispecies semiquantitative six-point body condition scoring (BCS) system for use in farms, abattoirs, and free-range village herds. BCS systems indicating animal energy balance and overall systemic health are critical to rapid and accurate veterinary surveillance to prevent the spread of zoonotic disease and ensure a safe food supply, among other One Health implications. Livestock species may be intermingled in Congolese agricultural settings, requiring a standard BCS scale; we harmonized existing species-specific scales to improve traditional approaches limited to qualitative assessment only. With a team of Congolese veterinarians and technicians, we completed 124 site visits across nine provinces between June 2023 and July 2024, comparing BCS ratings with various animal health indicators to identify patterns and relationships across 1038 swine and 1157 bovine subjects. Results indicate BCS ratings varied significantly by site type (p < 0.001) and age (p < 0.001), as well as between animals with reported histories of illness (p < 0.001) and lesions at the time of sampling (p = 0.089). At selected sites, the investigation team achieved an agreement with a maximum difference of 1 score unit between raters in an assessment of inter-rater reliability (n = 36, κ = 0.47, 95 % CI: 0.22-0.73) and qualitatively reported improved assessment precision with the six-point system compared to previous unstandardized processes.

Veterinary and Animal ScienceVol. 32
National Agricultural Statistics Service (US), University of Minnesota (US), University of California, Los Angeles (US), Purdue University West Lafayette (US), University of Florida (US), University of Kinshasa (CD), Université Pédagogique Nationale (CD), National Institute of Biomedical Research (CD)
Zero hunger
Openalex Percentile: Top 50%
Animal Disease Management and Epidemiology
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