Animal phenotyping: challenges and opportunities
The dairy sector contributes 30% and 44% of the livestock-related agricultural GDP in Tanzania and Kenya, respectively. Despite this significant contribution, it is predominantly comprised smallholder farmers with few cows providing vital support in terms of food security, household income and emplo...
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| Format: | Ponencia |
| Language: | Inglés |
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International Livestock Research Institute
2024
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| Online Access: | https://hdl.handle.net/10568/163395 |
| _version_ | 1855523839972212736 |
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| author | Mrode, Raphael A. |
| author_browse | Mrode, Raphael A. |
| author_facet | Mrode, Raphael A. |
| author_sort | Mrode, Raphael A. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The dairy sector contributes 30% and 44% of the livestock-related agricultural GDP in Tanzania and Kenya, respectively. Despite this significant contribution, it is predominantly comprised smallholder farmers with few cows providing vital support in terms of food security, household income and employment for millions of farmers. Research aimed at enhancing productivity and sustainability in these smallholder dairy systems is crucial for rural development, increasing farm incomes, creating employment and supporting women and youth. However, a major challenge is the absence of a routine performance data collection system. Previous efforts to address this limitation often relied on methods from well-established dairy systems in developed countries which frequently failed to adapt effectively. Advances in mobile technology have prompted attempts to investigate alternative cost-effective and practical data recording systems in the smallholder dairy farming with a major focus on information and communications technology (ICT). Successful implementation of digital tools for data collection and synthesis to generate management information as feedback to farmers using ICT-based extension tools has led to increased productivity and household income. Additionally, the use of genomic information allows for genetic evaluation with minimal pedigree information and supports the initiation of breed improvement programs for increased productivity.© The Authors 2024 |
| format | Ponencia |
| id | CGSpace163395 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Livestock Research Institute |
| publisherStr | International Livestock Research Institute |
| record_format | dspace |
| spelling | CGSpace1633952025-11-04T19:51:52Z Animal phenotyping: challenges and opportunities Mrode, Raphael A. animals animal production farmers genetics phenotypes The dairy sector contributes 30% and 44% of the livestock-related agricultural GDP in Tanzania and Kenya, respectively. Despite this significant contribution, it is predominantly comprised smallholder farmers with few cows providing vital support in terms of food security, household income and employment for millions of farmers. Research aimed at enhancing productivity and sustainability in these smallholder dairy systems is crucial for rural development, increasing farm incomes, creating employment and supporting women and youth. However, a major challenge is the absence of a routine performance data collection system. Previous efforts to address this limitation often relied on methods from well-established dairy systems in developed countries which frequently failed to adapt effectively. Advances in mobile technology have prompted attempts to investigate alternative cost-effective and practical data recording systems in the smallholder dairy farming with a major focus on information and communications technology (ICT). Successful implementation of digital tools for data collection and synthesis to generate management information as feedback to farmers using ICT-based extension tools has led to increased productivity and household income. Additionally, the use of genomic information allows for genetic evaluation with minimal pedigree information and supports the initiation of breed improvement programs for increased productivity.© The Authors 2024 2024-11-20 2024-12-12T04:28:34Z 2024-12-12T04:28:34Z Presentation https://hdl.handle.net/10568/163395 en Open Access application/pdf International Livestock Research Institute Mrode, R. 2024. Animal phenotyping: challenges and opportunities. Presented at the 13th Intergovernmental Technical Working group on Animal Genetic Resources for Food and Agriculture Rome. 20-22 November 2024. Nairobi, Kenya: ILRI. |
| spellingShingle | animals animal production farmers genetics phenotypes Mrode, Raphael A. Animal phenotyping: challenges and opportunities |
| title | Animal phenotyping: challenges and opportunities |
| title_full | Animal phenotyping: challenges and opportunities |
| title_fullStr | Animal phenotyping: challenges and opportunities |
| title_full_unstemmed | Animal phenotyping: challenges and opportunities |
| title_short | Animal phenotyping: challenges and opportunities |
| title_sort | animal phenotyping challenges and opportunities |
| topic | animals animal production farmers genetics phenotypes |
| url | https://hdl.handle.net/10568/163395 |
| work_keys_str_mv | AT mroderaphaela animalphenotypingchallengesandopportunities |