Testing phenotypes for degree of resilience using fluctuations in milk yield of dairy cows in sub-Saharan Africa
Despite the relevance of dairy production in the fight against food insecurity and unemployment in sub-Saharan Africa (SSA), negative effects of climate change and general changes in the production environment pose huge challenges to its profitability. Thus, there is a need to improve resilience cap...
| Autores principales: | , , , , , |
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| Formato: | Conference Paper |
| Lenguaje: | Inglés |
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Wageningen Academic Publishers
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/132090 |
| _version_ | 1855522437245960192 |
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| author | Oloo, Richard Dooso Ekine-Dzivenu, Chinyere C. Ojango, Julie M.K. Mrode, Raphael A. Okeyo Mwai, Ally Chagunda, Mizeck G.G. |
| author_browse | Chagunda, Mizeck G.G. Ekine-Dzivenu, Chinyere C. Mrode, Raphael A. Ojango, Julie M.K. Okeyo Mwai, Ally Oloo, Richard Dooso |
| author_facet | Oloo, Richard Dooso Ekine-Dzivenu, Chinyere C. Ojango, Julie M.K. Mrode, Raphael A. Okeyo Mwai, Ally Chagunda, Mizeck G.G. |
| author_sort | Oloo, Richard Dooso |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Despite the relevance of dairy production in the fight against food insecurity and unemployment in sub-Saharan Africa (SSA), negative effects of climate change and general changes in the production environment pose huge challenges to its profitability. Thus, there is a need to improve resilience capacity of dairy animals to adapt to this changing environment. In the current study, we tested two indicators of resilience, logtransformed variance (LnVar) and Skewness (Skew) of deviation, based on fluctuations in animals’ milk yield. Further, we assessed the effects of genotype, agroecological zone, and genotype by agroecological zone (G×E) interaction for these phenotypes. Cows with less than 50% of exotic genetics had higher degree of resilience (P<0.05). Cows performing in semi-arid zones had higher resilience capacity compared to those in semi-humid environment (P<0.05). G×E did not significantly influence both indicators. The results provide valuable information that would inform dairy cattle improvement initiatives in SSA. |
| format | Conference Paper |
| id | CGSpace132090 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Wageningen Academic Publishers |
| publisherStr | Wageningen Academic Publishers |
| record_format | dspace |
| spelling | CGSpace1320902025-11-04T16:58:24Z Testing phenotypes for degree of resilience using fluctuations in milk yield of dairy cows in sub-Saharan Africa Oloo, Richard Dooso Ekine-Dzivenu, Chinyere C. Ojango, Julie M.K. Mrode, Raphael A. Okeyo Mwai, Ally Chagunda, Mizeck G.G. livestock phenotypes resilience milk milk yield dairy cattle dairying Despite the relevance of dairy production in the fight against food insecurity and unemployment in sub-Saharan Africa (SSA), negative effects of climate change and general changes in the production environment pose huge challenges to its profitability. Thus, there is a need to improve resilience capacity of dairy animals to adapt to this changing environment. In the current study, we tested two indicators of resilience, logtransformed variance (LnVar) and Skewness (Skew) of deviation, based on fluctuations in animals’ milk yield. Further, we assessed the effects of genotype, agroecological zone, and genotype by agroecological zone (G×E) interaction for these phenotypes. Cows with less than 50% of exotic genetics had higher degree of resilience (P<0.05). Cows performing in semi-arid zones had higher resilience capacity compared to those in semi-humid environment (P<0.05). G×E did not significantly influence both indicators. The results provide valuable information that would inform dairy cattle improvement initiatives in SSA. 2022-02-09 2023-10-02T12:20:41Z 2023-10-02T12:20:41Z Conference Paper https://hdl.handle.net/10568/132090 en Open Access application/pdf Wageningen Academic Publishers Oloo, R.D., Ekine-Dzivenu, C.C., Ojango, J.M.K., Mrode, R.A., Okeyo, A.M. and Chagunda, M.G.G. 2022. Testing phenotypes for degree of resilience using fluctuations in milk yield of dairy cows in sub-Saharan Africa. IN: Veerkamp, R.F. and Haas, Y. de (eds), Proceedings of 12th World Congress on Ge-netics Applied to Livestock Production (WCGALP): 1729-1732. |
| spellingShingle | livestock phenotypes resilience milk milk yield dairy cattle dairying Oloo, Richard Dooso Ekine-Dzivenu, Chinyere C. Ojango, Julie M.K. Mrode, Raphael A. Okeyo Mwai, Ally Chagunda, Mizeck G.G. Testing phenotypes for degree of resilience using fluctuations in milk yield of dairy cows in sub-Saharan Africa |
| title | Testing phenotypes for degree of resilience using fluctuations in milk yield of dairy cows in sub-Saharan Africa |
| title_full | Testing phenotypes for degree of resilience using fluctuations in milk yield of dairy cows in sub-Saharan Africa |
| title_fullStr | Testing phenotypes for degree of resilience using fluctuations in milk yield of dairy cows in sub-Saharan Africa |
| title_full_unstemmed | Testing phenotypes for degree of resilience using fluctuations in milk yield of dairy cows in sub-Saharan Africa |
| title_short | Testing phenotypes for degree of resilience using fluctuations in milk yield of dairy cows in sub-Saharan Africa |
| title_sort | testing phenotypes for degree of resilience using fluctuations in milk yield of dairy cows in sub saharan africa |
| topic | livestock phenotypes resilience milk milk yield dairy cattle dairying |
| url | https://hdl.handle.net/10568/132090 |
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