Varietal threat index for monitoring crop diversity on farms in five agro-ecological regions in India
Our knowledge about the status of agrobiodiversity on farms is still very limited. While several studies to assess the crop genetic diversity on farms have been undertaken, there are no systematic documentation and monitoring practices for varietal diversity in space and time. Achieve ment of the ag...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/115711 |
| _version_ | 1855524091798224896 |
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| author | Dulloo, Mohammad Ehsan Estrada-Carmona, Natalia Rana, Jai Chand Yadav, Rashmi Grazioli, Francesca |
| author_browse | Dulloo, Mohammad Ehsan Estrada-Carmona, Natalia Grazioli, Francesca Rana, Jai Chand Yadav, Rashmi |
| author_facet | Dulloo, Mohammad Ehsan Estrada-Carmona, Natalia Rana, Jai Chand Yadav, Rashmi Grazioli, Francesca |
| author_sort | Dulloo, Mohammad Ehsan |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Our knowledge about the status of agrobiodiversity on farms is still very limited. While several studies to assess the crop genetic diversity on farms have been undertaken, there are no systematic documentation and monitoring practices for varietal diversity in space and time. Achieve ment of the agrobiodiversity Aichi Target 13, established under the Biodiversity Strategy Plan 2011–2020, have failed due to the lack of existing data on varietal diversity at country, regional and global levels. Here, we propose a method for calculating the Varietal Threat Index using the four-cell analysis (FCA) participatory methodology at different geographical scales to monitor changes in the varietal diversity on farms and to compare between areas. We tested the method with datasets collected from the UN-Environment GEF project implemented in India, in which data on crop and varietal diversity were collected across seven states in India, covering five agroecological regions. Results showed that landraces are still commonly grown in the study sites, especially in the central and western regions, and that more than 50% of landraces are considered threatened, suggesting that conservation interventions are required to prevent large-scale genetic erosion. A long-term monitoring framework for varietal diversity in India is proposed. |
| format | Journal Article |
| id | CGSpace115711 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1157112025-11-11T18:47:58Z Varietal threat index for monitoring crop diversity on farms in five agro-ecological regions in India Dulloo, Mohammad Ehsan Estrada-Carmona, Natalia Rana, Jai Chand Yadav, Rashmi Grazioli, Francesca landraces variety trials on-farm conservation biodiversity diversification razas indígenas ensayos de variedades conservación en la explotación agrícola biodiversidad Our knowledge about the status of agrobiodiversity on farms is still very limited. While several studies to assess the crop genetic diversity on farms have been undertaken, there are no systematic documentation and monitoring practices for varietal diversity in space and time. Achieve ment of the agrobiodiversity Aichi Target 13, established under the Biodiversity Strategy Plan 2011–2020, have failed due to the lack of existing data on varietal diversity at country, regional and global levels. Here, we propose a method for calculating the Varietal Threat Index using the four-cell analysis (FCA) participatory methodology at different geographical scales to monitor changes in the varietal diversity on farms and to compare between areas. We tested the method with datasets collected from the UN-Environment GEF project implemented in India, in which data on crop and varietal diversity were collected across seven states in India, covering five agroecological regions. Results showed that landraces are still commonly grown in the study sites, especially in the central and western regions, and that more than 50% of landraces are considered threatened, suggesting that conservation interventions are required to prevent large-scale genetic erosion. A long-term monitoring framework for varietal diversity in India is proposed. 2021-10-22 2021-10-27T11:12:04Z 2021-10-27T11:12:04Z Journal Article https://hdl.handle.net/10568/115711 en Open Access application/pdf MDPI Dulloo, M.E.; Estrada Carmona, N.; Rana, J.C.; Yadav, R.; Grazioli, F. (2021) Varietal threat index for monitoring crop diversity on farms in five agro-ecological regions in India. Diversity 13(11): 514. ISSN: 1424-2818 |
| spellingShingle | landraces variety trials on-farm conservation biodiversity diversification razas indígenas ensayos de variedades conservación en la explotación agrícola biodiversidad Dulloo, Mohammad Ehsan Estrada-Carmona, Natalia Rana, Jai Chand Yadav, Rashmi Grazioli, Francesca Varietal threat index for monitoring crop diversity on farms in five agro-ecological regions in India |
| title | Varietal threat index for monitoring crop diversity on farms in five agro-ecological regions in India |
| title_full | Varietal threat index for monitoring crop diversity on farms in five agro-ecological regions in India |
| title_fullStr | Varietal threat index for monitoring crop diversity on farms in five agro-ecological regions in India |
| title_full_unstemmed | Varietal threat index for monitoring crop diversity on farms in five agro-ecological regions in India |
| title_short | Varietal threat index for monitoring crop diversity on farms in five agro-ecological regions in India |
| title_sort | varietal threat index for monitoring crop diversity on farms in five agro ecological regions in india |
| topic | landraces variety trials on-farm conservation biodiversity diversification razas indígenas ensayos de variedades conservación en la explotación agrícola biodiversidad |
| url | https://hdl.handle.net/10568/115711 |
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