Rice-fish coculture: Enhancing resource management and food security
Rice-fish coculture is an age-old nature-based practice that effectively utilizes land and water resources and promises to be a viable alternative to rice monoculture for sustainable joint production of rice and fish with socioeconomic and ecological advantages in rural areas. However, qualitative a...
| Autores principales: | , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Elsevier
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/159511 |
| _version_ | 1855536656238510080 |
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| author | Samaddar, Ayan Kacha, Dani Kaviraj, Anilava Freed, Sarah Johanna Panemangalore, Arun Padiyar Saha, Subrata |
| author_browse | Freed, Sarah Johanna Kacha, Dani Kaviraj, Anilava Panemangalore, Arun Padiyar Saha, Subrata Samaddar, Ayan |
| author_facet | Samaddar, Ayan Kacha, Dani Kaviraj, Anilava Freed, Sarah Johanna Panemangalore, Arun Padiyar Saha, Subrata |
| author_sort | Samaddar, Ayan |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Rice-fish coculture is an age-old nature-based practice that effectively utilizes land and water resources and promises to be a viable alternative to rice monoculture for sustainable joint production of rice and fish with socioeconomic and ecological advantages in rural areas. However, qualitative and quantitative studies on such practices to evaluate their socioeconomic vulnerability based on primary data of farmers' opinions are sparse. In this study, we attempted to identify the factors responsible for the success and lapses in rice-fish coculture in five villages of Ziro Valley in the lower Subansiri district of Arunachal Pradesh. We conducted an exhaustive field survey to collect primary data through questionnaires survey, focus group discussions, and interviews. Then, we analyzed the data by applying artificial intelligence and machine learning algorithms to identify the stresses and recommend guidelines to improve farmers' management and decision-making for sustainable rice-fish coculture. The results of the general linear regression, considering fifteen variables, Akaike information criterion, and the decision tree on three important responses of the farmers indicate that the the current practice of rice-fish coculture in the Ziro Valley yields poor returns. We identified that mismanagement of inputs, unwillingness to invest, nonavailability of adequate funds and formal training, and limited involvement of youths in the culture are crucial factors behind poor returns. However, institutional support in managing stocking density, feed, and rice type, along with human resource training, can address these gaps, thereby improving the production and livelihoods of a significant section of the Apatani tribe. |
| format | Journal Article |
| id | CGSpace159511 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1595112025-11-11T19:03:25Z Rice-fish coculture: Enhancing resource management and food security Samaddar, Ayan Kacha, Dani Kaviraj, Anilava Freed, Sarah Johanna Panemangalore, Arun Padiyar Saha, Subrata evaluation rice food security resource management valuation socioeconomic environment fish culture Rice-fish coculture is an age-old nature-based practice that effectively utilizes land and water resources and promises to be a viable alternative to rice monoculture for sustainable joint production of rice and fish with socioeconomic and ecological advantages in rural areas. However, qualitative and quantitative studies on such practices to evaluate their socioeconomic vulnerability based on primary data of farmers' opinions are sparse. In this study, we attempted to identify the factors responsible for the success and lapses in rice-fish coculture in five villages of Ziro Valley in the lower Subansiri district of Arunachal Pradesh. We conducted an exhaustive field survey to collect primary data through questionnaires survey, focus group discussions, and interviews. Then, we analyzed the data by applying artificial intelligence and machine learning algorithms to identify the stresses and recommend guidelines to improve farmers' management and decision-making for sustainable rice-fish coculture. The results of the general linear regression, considering fifteen variables, Akaike information criterion, and the decision tree on three important responses of the farmers indicate that the the current practice of rice-fish coculture in the Ziro Valley yields poor returns. We identified that mismanagement of inputs, unwillingness to invest, nonavailability of adequate funds and formal training, and limited involvement of youths in the culture are crucial factors behind poor returns. However, institutional support in managing stocking density, feed, and rice type, along with human resource training, can address these gaps, thereby improving the production and livelihoods of a significant section of the Apatani tribe. 2025-01 2024-11-11T13:25:14Z 2024-11-11T13:25:14Z Journal Article https://hdl.handle.net/10568/159511 en Open Access application/pdf Elsevier Samaddar, A.; Kacha, D.; Kaviraj, A.; Freed, S.J.; Panemangalore, A.P.; Saha, S. (2024) Rice-fish coculture: Enhancing resource management and food security. Aquaculture 595: 741476. ISSN: 0044-8486 |
| spellingShingle | evaluation rice food security resource management valuation socioeconomic environment fish culture Samaddar, Ayan Kacha, Dani Kaviraj, Anilava Freed, Sarah Johanna Panemangalore, Arun Padiyar Saha, Subrata Rice-fish coculture: Enhancing resource management and food security |
| title | Rice-fish coculture: Enhancing resource management and food security |
| title_full | Rice-fish coculture: Enhancing resource management and food security |
| title_fullStr | Rice-fish coculture: Enhancing resource management and food security |
| title_full_unstemmed | Rice-fish coculture: Enhancing resource management and food security |
| title_short | Rice-fish coculture: Enhancing resource management and food security |
| title_sort | rice fish coculture enhancing resource management and food security |
| topic | evaluation rice food security resource management valuation socioeconomic environment fish culture |
| url | https://hdl.handle.net/10568/159511 |
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