The Foraging Ecology of Nguni and Brahman Cattle under Different Management Systems in High-altitude Grasslands of South Africa
الموضوعات :
Phumlile Simelane
1
(All Out Africa research station)
Julie Shapiro
2
(University of Florida)
Thembs' Alilahlwa A. M. Mahlaba
3
(University of Eswatini)
Robert McCleery
4
(University of Florida)
Duncan MacFadyen
5
(Oppenheimer Generations)
Ara Monadjem
6
(Department of Biological Sciences, University of Eswatini)
الکلمات المفتاحية: Rangelands, Pasture, forage selection, free-range management, holistic management,
ملخص المقالة :
Cattle production is important to both communal livelihoods and the national economy of South Africa. Understanding the foraging ecology of cattle is important for managing both the animals and their rangelands. This paper reports the dietary preferences of Nguni cattle under holistic management and Brahman cattle under conventional management at two farms during both the wet and dry seasons in high altitude grasslands of South Africa. Foraging patterns were monitored through focal sampling from June 2015 to January 2016. We found that dietary utilization and selectivity varied between the wet and dry seasons for both Nguni and Brahman cattle and both breeds showed strong preferences for certain plant species. In the dry season, Nguni selected strongly for the grass Eragrostis plana. The Brahman selected high value grass species, particularly Sporobolus fimbriatus, Panicum ecklonii, Pennisetum clandestinum, and Themeda triandra, which they continued to utilize in nearly the same proportions in the dry season, even though they were not as widely available as in the wet season. This study suggests that cattle breed may influence foraging ecology and highlights the need for future research on how this interacts with management. Furthermore, our results suggest that due to their greater flexibility in diet and reduced reliance on supplementary feed, Nguni cattle may be particularly well-suited to this heterogeneous landscape with a marked dry season when resources are scarce.
Altmann, J., 1974. Observational study of behaviour: Sampling methods. Behaviour, 49: 227–267.
Bremm, C., Laca, E. A., Fonseca, L., Mezzalira, J. C., Elejalde, D. A. G., Gonda, H. L. and Carvalho, P. C. F., 2012. Foraging behavior of beef heifers and ewes in natural grasslands with distinct proportions of tussocks. Applied Animal Behaviour Science, 141: 108 –116.
Byers, C. R., Steinhorst, R. K. and Krausman, P. R., 1984. Clarification of a technique for analysis of utilization availability data. Journal of Wildlife Management, 48: 1050–1053.
Carvalho, P. C. F. and Batello, C., 2009. Access to land, livestock production and ecosystem conservation in the Brazilian Campos biome: The natural grasslands dilemma. Livestock Science 120: 158-162.
Fuhlendorf, S. D., Fynn, R. W. S., McGranahan, D. A. and Twidwell D., 2017. Heterogeneity as the basis for rangeland management. In: Briske D. (ed) Rangeland Systems. Cham, Switzerland: Springer. 169-196.
Hanley, T. A., 1982. The nutritional basis for food selection by ungulates. Journal of Range Management, 35: 146–151.
Manly, B. F., McDonald, L., Thomas, D., McDonald, T.L. and Erickson, W.P., 2002. Resource Selection by Animals. Dordrecht, Netherlands: Springer Netherlands.
Mpanza, T. D. E., Scogings, P. F., Kunene, N. W. and Zobolo, A. M., 2009. Impacts of cattle on ecological restoration of coastal forests in KwaZulu-Natal, South Africa. Journal of Range and Forage Science, 26: 1–7.
Moyo, B., Dube, S., Lesoli, M. and Masika, P., 2011. Behavioural patterns of cattle in the communal areas of the Eastern Cape Province, South Africa. African Journal of Agricultural Research, 7: 2824–2834.
Mucina, L. and Rutherford, M. C., 2006. The vegetation of South Africa, Lesotho and Swaziland, Strelitzia 19. Pretoria: South African National Biodiversity Institute.
Musemwa, L., Mushunje, A., Chimonyo, M., Fraser, G., Mapiye, C. and Muchenje, V., 2008. Nguni cattle marketing constraints and opportunities in the communal areas of South Africa: Review. African Journal of Agricultural Research, 3: 239–245.
R Core Team. 2013. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org\.
Radloff, F. G. T., Van der Waal, C. and Bond, A. L., 2013. Extensive browsing by a conventional grazer? Stable carbon isotope analysis reveals extraordinary dietary flexibility among Sanga cattle of North Central Namibia. Isotopes in Environmental and Health Studies, 49: 318–324.
Samuels, I., Cupido, C., Swarts, M. B., Palmer, A. R. and Paulse, J. W., 2016. Feeding ecology of four livestock species under different management in a semi-arid pastoral system in South Africa. African Journal of Range & Forage Science, 33: 1–9.
Savory, A., 1983. The Savory grazing method or holistic resource management. Rangelands, 5: 155-159.
Scherf, B. D., 2000. World watch list for domestic animal diversity. 3rd Edition. Rome: Food and Agriculture Organization of the United Nations.
Scholtz, M. M., Bester, J., Mamabolo, J. M. and Ramsay, K. A., 2008. Results of the national cattle survey undertaken in South Africa, with emphasis on beef. Applied Animal Husbandry and Rural Development, 1: 1–9.
Thornton, P. K., Kruska, R. L, Henninger, N., Kristjanson, P. M, Reid, R. S, Atieno, F., Odero, A. and Ndegwa, T., 2002. Mapping poverty and livestock in the developing world. International Livestock Research Institute. Nairobi, Kenya
Van Oudtshoorn, F. 2014. Guide to grasses of southern Africa. Pretoria South Africa: Briza Publications.
Venter, Z. S., Hawkins, H. J., and Cramer, M. D. 2019. Cattle don’t care: Animal behavior is similar regardless of grazing management in grasslands. Agriculture, Ecosystems & Environment, 272:
