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Development and application of approaches in protein profiling for Nguni cattle

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dc.contributor.author Buthelezi, Sindisiwe G
dc.contributor.author Mathabe, P
dc.contributor.author Mancama, Dalubuhle T
dc.date.accessioned 2010-09-01T08:34:52Z
dc.date.available 2010-09-01T08:34:52Z
dc.date.issued 2010-09-01
dc.identifier.citation Buthelezi, SG, Mathabe, P and Mancama, D.T. 2010. Development and application of approaches in protein profiling for Nguni cattle. CSIR 3rd Biennial Conference 2010. Science Real and Relevant. CSIR International Convention Centre, Pretoria, South Africa, 30 August – 01 September 2010, pp 1 en
dc.identifier.uri http://hdl.handle.net/10204/4271
dc.description CSIR 3rd Biennial Conference 2010. Science Real and Relevant. CSIR International Convention Centre, Pretoria, South Africa, 30 August – 01 September 2010 en
dc.description.abstract As a consequence of natural selection in stressful environmental conditions, the Nguni cattle have been reported to be metabolically superior under unfavourable conditions, thus indicating an adaptive measure to survive times of poor feed quality. Compared to European breeds such as the Hereford, this indigenous Nguni breed is less susceptible to drought, parasites, diseases and insects. It is also widely acknowledged to be the outstanding beef breed for optimal production under harsh African conditions. One of the features that enable the Nguni to survive under these adverse conditions is their nitrogen cycle pathway which is believed to result in the animals being less dependant on dietary protein than other breeds. It is speculated that this could be partly due to the maintenance of high blood urea levels when the nitrogen content of the pasture drops en
dc.language.iso en en
dc.publisher CSIR en
dc.subject Protein profiling en
dc.subject Nguni cattle en
dc.subject African cattle breed en
dc.subject Proteomics en
dc.subject CSIR Conference 2010 en
dc.title Development and application of approaches in protein profiling for Nguni cattle en
dc.type Conference Presentation en
dc.identifier.apacitation Buthelezi, S. G., Mathabe, P., & Mancama, D. T. (2010). Development and application of approaches in protein profiling for Nguni cattle. CSIR. http://hdl.handle.net/10204/4271 en_ZA
dc.identifier.chicagocitation Buthelezi, Sindisiwe G, P Mathabe, and Dalubuhle T Mancama. "Development and application of approaches in protein profiling for Nguni cattle." (2010): http://hdl.handle.net/10204/4271 en_ZA
dc.identifier.vancouvercitation Buthelezi SG, Mathabe P, Mancama DT, Development and application of approaches in protein profiling for Nguni cattle; CSIR; 2010. http://hdl.handle.net/10204/4271 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Buthelezi, Sindisiwe G AU - Mathabe, P AU - Mancama, Dalubuhle T AB - As a consequence of natural selection in stressful environmental conditions, the Nguni cattle have been reported to be metabolically superior under unfavourable conditions, thus indicating an adaptive measure to survive times of poor feed quality. Compared to European breeds such as the Hereford, this indigenous Nguni breed is less susceptible to drought, parasites, diseases and insects. It is also widely acknowledged to be the outstanding beef breed for optimal production under harsh African conditions. One of the features that enable the Nguni to survive under these adverse conditions is their nitrogen cycle pathway which is believed to result in the animals being less dependant on dietary protein than other breeds. It is speculated that this could be partly due to the maintenance of high blood urea levels when the nitrogen content of the pasture drops DA - 2010-09-01 DB - ResearchSpace DP - CSIR KW - Protein profiling KW - Nguni cattle KW - African cattle breed KW - Proteomics KW - CSIR Conference 2010 LK - https://researchspace.csir.co.za PY - 2010 T1 - Development and application of approaches in protein profiling for Nguni cattle TI - Development and application of approaches in protein profiling for Nguni cattle UR - http://hdl.handle.net/10204/4271 ER - en_ZA


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