Characterizing farm households in Surkhet, Western Nepal, through a quantitative farming systems typology
The Sustainable Intensification of Mixed Farming Systems (SIMFS) is a CGIAR initiative. This initiative ‘aims to provide equitable, transformative pathways for improved livelihoods of actors in mixed farming systems through sustainable intensification within target agroecological and socioeconomic s...
| Autores principales: | , , , , , , , , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
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International Maize and Wheat Improvement Center
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/139116 |
| _version_ | 1855526426630946816 |
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| author | Zepeda, Adair Cheesman, Stephanie Neupane, Nilhari Shrestha, Nirman Shrestha, Ram Narayan Amjath-Babu, T. S. Karki, Saral Gathala, Mahesh Kumar Krupnik, Timothy J. López Ridaura, Santiago |
| author_browse | Amjath-Babu, T. S. Cheesman, Stephanie Gathala, Mahesh Kumar Karki, Saral Krupnik, Timothy J. López Ridaura, Santiago Neupane, Nilhari Shrestha, Nirman Shrestha, Ram Narayan Zepeda, Adair |
| author_facet | Zepeda, Adair Cheesman, Stephanie Neupane, Nilhari Shrestha, Nirman Shrestha, Ram Narayan Amjath-Babu, T. S. Karki, Saral Gathala, Mahesh Kumar Krupnik, Timothy J. López Ridaura, Santiago |
| author_sort | Zepeda, Adair |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Sustainable Intensification of Mixed Farming Systems (SIMFS) is a CGIAR initiative. This initiative ‘aims to provide equitable, transformative pathways for improved livelihoods of actors in mixed farming systems through sustainable intensification within target agroecological and socioeconomic settings. To achieve this, different methodologies, innovations, and practices have been implemented to understand and improve the agroecological/productive conditions to assess a benefit on nutrition, food security and welfare. SIMFS works closely with the CGIAR Regional Integrated Initiative on Transforming Agrifood Systems in South Asia (TAFSSA) that propels evidence into impact through engagement with public and private partners across the production-to-consumption continuum, to achieve productive, environmentally sound South Asian agrifood systems that support equitable access to sustainable healthy diets.
The use of Principal Component Analysis through Hierarchical Clustering (PCA-HC) is a tool which provides relevant information for farmers, practitioners, and other stakeholders. The development of typologies is a methodological approach to systematically arrange and interpret data associated with the categorization of groups of variables. In farming systems analysis, household-level data are critical in delineating internal farm dynamics that include production processes, adaptive strategies, and resilience metrics. Structural variables, characterized by their stability over short to medium-term periods, are key to discerning consistent trends and patterns within farming systems. These variables assist in identifying the strategic choices made by farm households to advance their welfare and nutrition. The analytical process is structured to support the establishment of sustainable and productive mixed crop-livestock-tree farming systems. |
| format | Informe técnico |
| id | CGSpace139116 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | International Maize and Wheat Improvement Center |
| publisherStr | International Maize and Wheat Improvement Center |
| record_format | dspace |
| spelling | CGSpace1391162025-05-04T09:21:45Z Characterizing farm households in Surkhet, Western Nepal, through a quantitative farming systems typology Zepeda, Adair Cheesman, Stephanie Neupane, Nilhari Shrestha, Nirman Shrestha, Ram Narayan Amjath-Babu, T. S. Karki, Saral Gathala, Mahesh Kumar Krupnik, Timothy J. López Ridaura, Santiago farming systems typology farm structure sustainable intensification The Sustainable Intensification of Mixed Farming Systems (SIMFS) is a CGIAR initiative. This initiative ‘aims to provide equitable, transformative pathways for improved livelihoods of actors in mixed farming systems through sustainable intensification within target agroecological and socioeconomic settings. To achieve this, different methodologies, innovations, and practices have been implemented to understand and improve the agroecological/productive conditions to assess a benefit on nutrition, food security and welfare. SIMFS works closely with the CGIAR Regional Integrated Initiative on Transforming Agrifood Systems in South Asia (TAFSSA) that propels evidence into impact through engagement with public and private partners across the production-to-consumption continuum, to achieve productive, environmentally sound South Asian agrifood systems that support equitable access to sustainable healthy diets. The use of Principal Component Analysis through Hierarchical Clustering (PCA-HC) is a tool which provides relevant information for farmers, practitioners, and other stakeholders. The development of typologies is a methodological approach to systematically arrange and interpret data associated with the categorization of groups of variables. In farming systems analysis, household-level data are critical in delineating internal farm dynamics that include production processes, adaptive strategies, and resilience metrics. Structural variables, characterized by their stability over short to medium-term periods, are key to discerning consistent trends and patterns within farming systems. These variables assist in identifying the strategic choices made by farm households to advance their welfare and nutrition. The analytical process is structured to support the establishment of sustainable and productive mixed crop-livestock-tree farming systems. 2023-12-30 2024-02-09T07:22:48Z 2024-02-09T07:22:48Z Report https://hdl.handle.net/10568/139116 en Open Access application/pdf International Maize and Wheat Improvement Center Zepeda, A., Chessman, S., Neupane, N., Shrestha, N., Narayan, R., Amjath Babu, T.S., Karki, S., Gathala, M.K., Krupnik, T.J. and López-Ridaura, S. 2023. Characterizing farm households in Surkhet, Western Nepal, through a quantitative farming systems typology. CGIAR research initiative on Mixed Farming Systems (MFS). Mexico: CIMMYT. |
| spellingShingle | farming systems typology farm structure sustainable intensification Zepeda, Adair Cheesman, Stephanie Neupane, Nilhari Shrestha, Nirman Shrestha, Ram Narayan Amjath-Babu, T. S. Karki, Saral Gathala, Mahesh Kumar Krupnik, Timothy J. López Ridaura, Santiago Characterizing farm households in Surkhet, Western Nepal, through a quantitative farming systems typology |
| title | Characterizing farm households in Surkhet, Western Nepal, through a quantitative farming systems typology |
| title_full | Characterizing farm households in Surkhet, Western Nepal, through a quantitative farming systems typology |
| title_fullStr | Characterizing farm households in Surkhet, Western Nepal, through a quantitative farming systems typology |
| title_full_unstemmed | Characterizing farm households in Surkhet, Western Nepal, through a quantitative farming systems typology |
| title_short | Characterizing farm households in Surkhet, Western Nepal, through a quantitative farming systems typology |
| title_sort | characterizing farm households in surkhet western nepal through a quantitative farming systems typology |
| topic | farming systems typology farm structure sustainable intensification |
| url | https://hdl.handle.net/10568/139116 |
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