Phenotypic characterization of beef cattle breeds and production practices in Liberia
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Phenotypic characterization of animal genetic resources (AnGR) involves identification of distinct breed populations, describing their external and production characteristics in a given environment and management, and taking into account the social and economic factors that affect them. A survey involving 346 livestock farmers was conducted in the 15 counties of Liberia to collect data on production practices and phenotypic characteristics of beef cattle. A pre-tested structured questionnaire, focus group discussions, and in-depth interviews were utilized in data collection. Phenotypic descriptors were measured using a measuring tape and weighing scale. The purpose for keeping beef cattle, preferred cattle traits, and challenges of beef cattle farmers were also assessed. Liberia’s beef cattle are predominantly of Ndama (50%), Muturu (38%), and Zebu (11%) breeds. Beef cattle are mainly kept on free range with little investment in housing, feeding, and veterinary care. Beef cattle are raised mainly for income generation, with high cost and low availability of feed (32%), insufficient housing (25%), diseases (21%), and high costs of veterinary medicines (12%) being the main challenges faced by the farmers. Liberian beef cattle were characterized as being docile (53%) or moderate (33%) in temperament, with solid/uniform coat color pattern (61%), black coat color (26%), and non-pigmented skin (84%). The animals had mainly erect or lateral ears, straight back lines, and are sloped rumps. Disease (54%) and drought tolerance (30%) were the main adaptive traits reported. The body weight of beef cattle sampled ranged from 213 to 226 kg, the body length from 119 to 122 cm, and the heart girth from 134 to 140 cm. The government of Liberia should improve policies on local AnGR management and support stakeholder institutions to ensure their sustainable use and conservation.
KeywordsPhenotypic characterization Beef cattle Production system AnGR
We sincerely thank the farmers and respondents who participated in the project. We express our sincere appreciation to all technical staff of MOA and CARI, then the FAO Country Rep. Mr. Marc Abdala and his staff in Liberia and Mr. Jesse Yuan of FAO for his guidance and training in the utilization of EpiCollect data capture program.
This project was funded by the FAO under the Technical Cooperation Program (TCP) for Liberia (TCP/LIR/3502) with the Central Agricultural Research Institute (CARI) as the implementer.
Compliance with ethical standards
The manuscript does not contain clinical studies or patient data.
Conflict of interest
The authors declare that they have no conflict of interest.
- African Union Interafrican Bureau for Animal Resources (AU-IBAR), 2013. Strategic Plan 2014–2017, Nairobi, Kenya.Google Scholar
- Comprehensive Assessment of the Agricultural Sector in Liberia (CASS-Lib), 2007. MOA, FAO, Monrovia, Liberia.Google Scholar
- Food and Agriculture Organization of the United Nations (FAO), 2012. Phenotypic characterization of animal genetic resources. FAO Animal Production and Health Guidelines No. 11. Rome.Google Scholar
- Food and Agriculture Organization of the United Nations (FAO), 2015. The second Report on the State of the World’s Animal Genetic Resources for Food and Agriculture, edited by B.D. Scherf and D. Pilling. FAO Commission on Genetic Resources for Food and Agriculture, Food and Agriculture Organization of the United Nations, Rome.Google Scholar
- Food and Agriculture Organization of the United Nations (FAO), 2016. Review of the Livestock/Meat and Milk Value Chains and Policy Influencing Them in Liberia. FAO, Liberia.Google Scholar
- Frisch, J.E., O'Neil, C.J. and Kelly, M.J., 2000. Using genetic to control cattle parasites. International Journal of Paraital, 30:253–264.Google Scholar
- International Food Policy Research Institute (IFPRI), 2010. Impact of farmers field schools on Agri. Prod. Poverty, East Africa.Google Scholar
- Koikoi, K. K., 2011. Review of the livestock sector with respect to smallholder dairy livestock and meat sub-sector development in Liberia. Consultancy report submitted to FAO. Monrovia, Liberia.Google Scholar
- Ministry of Agriculture (MOA), 2008. Production Estimates of Major Crops and Animals. Monrovia, Liberia.Google Scholar
- Ministry of Agriculture (MOA), 2013. 2010–2013 Annual Report. Monrovia, Liberia.Google Scholar
- Prayage, K.C., Corbet, N.J., Johnson, D.J., Wolcott, M.L. and Fordyce, G., 2009. Genetic of adaptive traits in heifers and relationship to grow, pubertaL AND carcass traits in two tropical beef cattle genotypes. Animal Production Science, 49:413–425.Google Scholar
- R Core Team, 2016. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
- Tadesse, E., Tucho, T.A., Belay, T.K., Woldu, T., Hundesa, F. and Woldu, G., 2017. Traditional breeding management and morpho metric characteristics if indigenous Harerge Highland cattle in Eastern Ethiopia. J. of Biology, Agri. And Healthcare. Vol. 7:9.Google Scholar