Using accurate detection tools to develop a successful management strategy for lentil and chickpea viruses in farmers' fields in the highlands of Ethiopia
Since 2019, farmers in the highlands of Ethiopia are losing their chickpea and lentil crops because of virus epidemics, and lentil production area in Ethiopia was reduced due to the virus infection. Based on FAOSTAT, lentil production (tonnes) and Area Harvested (ha) in Ethiopia decreased from 166,2...
| Autores principales: | , , , , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
International Center for Agricultural Research in the Dry Areas
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/128124 |
| _version_ | 1855532397580255232 |
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| author | Kumari, Safaa Moukahel, Abdulrahman Ademe, Anteneh Aynewa, Yetsedaw Kemal, Seid Ahmed |
| author_browse | Ademe, Anteneh Aynewa, Yetsedaw Kemal, Seid Ahmed Kumari, Safaa Moukahel, Abdulrahman |
| author_facet | Kumari, Safaa Moukahel, Abdulrahman Ademe, Anteneh Aynewa, Yetsedaw Kemal, Seid Ahmed |
| author_sort | Kumari, Safaa |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Since 2019, farmers in the highlands of Ethiopia are losing their chickpea and lentil crops because of virus epidemics, and lentil production area in Ethiopia was reduced due to the virus infection. Based on FAOSTAT, lentil production (tonnes) and Area Harvested (ha) in Ethiopia decreased from 166,274 tonnes and 113,685 ha during 2016 to 113,018 tonnes and 84,512 ha during 2020, respectively (FAOSTAT, 2022).
Knowing the exact identity of viruses affecting both crops is essential for breeding for resistance and crop management purposes. To achieve this, field surveys were carried out for four consecutive seasons (2019-2022) in collaboration between ICARDA and Ethiopian researchers, using up-to-date detection tools to monitor virus incidence and distribution on lentil and chickpea crops in the highlands of Ethiopia. Data generated can be used by plant pathologists, scientists, breeders, plant protection organizations, policy makers, National agricultural research, and extension agencies to mitigate the viral diseases. |
| format | Artículo preliminar |
| id | CGSpace128124 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | International Center for Agricultural Research in the Dry Areas |
| publisherStr | International Center for Agricultural Research in the Dry Areas |
| record_format | dspace |
| spelling | CGSpace1281242026-01-15T02:13:06Z Using accurate detection tools to develop a successful management strategy for lentil and chickpea viruses in farmers' fields in the highlands of Ethiopia Kumari, Safaa Moukahel, Abdulrahman Ademe, Anteneh Aynewa, Yetsedaw Kemal, Seid Ahmed food security yield losses molecular characterization plant viruses lentil chickpea seed-borne viruses virus characterization Since 2019, farmers in the highlands of Ethiopia are losing their chickpea and lentil crops because of virus epidemics, and lentil production area in Ethiopia was reduced due to the virus infection. Based on FAOSTAT, lentil production (tonnes) and Area Harvested (ha) in Ethiopia decreased from 166,274 tonnes and 113,685 ha during 2016 to 113,018 tonnes and 84,512 ha during 2020, respectively (FAOSTAT, 2022). Knowing the exact identity of viruses affecting both crops is essential for breeding for resistance and crop management purposes. To achieve this, field surveys were carried out for four consecutive seasons (2019-2022) in collaboration between ICARDA and Ethiopian researchers, using up-to-date detection tools to monitor virus incidence and distribution on lentil and chickpea crops in the highlands of Ethiopia. Data generated can be used by plant pathologists, scientists, breeders, plant protection organizations, policy makers, National agricultural research, and extension agencies to mitigate the viral diseases. 2022-12-01 2023-01-24T19:58:58Z 2023-01-24T19:58:58Z Working Paper https://hdl.handle.net/10568/128124 en Open Access application/pdf International Center for Agricultural Research in the Dry Areas Safaa G. Kumari, Abdulrahman Moukahel, Anteneh Ademe, Yetsedaw Aynewa and Seid Ahmed Kemal. 2022. Using accurate detection tools to develop a successful management strategy for lentil and chickpea viruses in farmers' fields in the highlands of Ethiopia. International Center for Agricultural Research in the Dry Areas (ICARDA), Beirut, Lebanon. |
| spellingShingle | food security yield losses molecular characterization plant viruses lentil chickpea seed-borne viruses virus characterization Kumari, Safaa Moukahel, Abdulrahman Ademe, Anteneh Aynewa, Yetsedaw Kemal, Seid Ahmed Using accurate detection tools to develop a successful management strategy for lentil and chickpea viruses in farmers' fields in the highlands of Ethiopia |
| title | Using accurate detection tools to develop a successful management strategy for lentil and chickpea viruses in farmers' fields in the highlands of Ethiopia |
| title_full | Using accurate detection tools to develop a successful management strategy for lentil and chickpea viruses in farmers' fields in the highlands of Ethiopia |
| title_fullStr | Using accurate detection tools to develop a successful management strategy for lentil and chickpea viruses in farmers' fields in the highlands of Ethiopia |
| title_full_unstemmed | Using accurate detection tools to develop a successful management strategy for lentil and chickpea viruses in farmers' fields in the highlands of Ethiopia |
| title_short | Using accurate detection tools to develop a successful management strategy for lentil and chickpea viruses in farmers' fields in the highlands of Ethiopia |
| title_sort | using accurate detection tools to develop a successful management strategy for lentil and chickpea viruses in farmers fields in the highlands of ethiopia |
| topic | food security yield losses molecular characterization plant viruses lentil chickpea seed-borne viruses virus characterization |
| url | https://hdl.handle.net/10568/128124 |
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