Unfolding government policies towards the development of climate smart agriculture in India
Crop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains ‘to what extent can breeding gains be achieved under a changing climate, at a pace sufficient to useful...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Diva Enterprises Private Limited
2018
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| Acceso en línea: | https://hdl.handle.net/10568/101466 |
| _version_ | 1855543744139362304 |
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| author | Kishore, Avinash Pal, Barun Deb Joshi, Kuhu Aggarwal, Pramod K. |
| author_browse | Aggarwal, Pramod K. Joshi, Kuhu Kishore, Avinash Pal, Barun Deb |
| author_facet | Kishore, Avinash Pal, Barun Deb Joshi, Kuhu Aggarwal, Pramod K. |
| author_sort | Kishore, Avinash |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Crop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains ‘to what extent can breeding gains be achieved under a changing climate, at a pace sufficient to usefully contribute to climate adaptation, mitigation and food security?’. Here, we address this question by critically reviewing how model-based approaches can be used to assist breeding activities, with particular focus on all CGIAR (formerly the Consultative Group on International Agricultural Research but now known simply as CGIAR) breeding programs. Crop modeling can underpin breeding efforts in many different ways, including assessing genotypic adaptability and stability, characterizing and identifying target breeding environments, identifying tradeoffs among traits for such environments, and making predictions of the likely breeding value of the genotypes. Crop modeling science within the CGIAR has contributed to all of these. However, much progress remains to be done if modeling is to effectively contribute to more targeted and impactful breeding programs under changing climates. In a period in which CGIAR breeding programs are undergoing a major modernization process, crop modelers will need to be part of crop improvement teams, with a common understanding of breeding pipelines and model capabilities and limitations, and common data standards and protocols, to ensure they follow and deliver according to clearly defined breeding products. This will, in turn, enable more rapid and better-targeted crop modeling activities, thus directly contributing to accelerated and more impactful breeding efforts. |
| format | Journal Article |
| id | CGSpace101466 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Diva Enterprises Private Limited |
| publisherStr | Diva Enterprises Private Limited |
| record_format | dspace |
| spelling | CGSpace1014662025-11-24T11:21:10Z Unfolding government policies towards the development of climate smart agriculture in India Kishore, Avinash Pal, Barun Deb Joshi, Kuhu Aggarwal, Pramod K. food security agriculture climate change agricultural policies climate-smart agriculture Crop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains ‘to what extent can breeding gains be achieved under a changing climate, at a pace sufficient to usefully contribute to climate adaptation, mitigation and food security?’. Here, we address this question by critically reviewing how model-based approaches can be used to assist breeding activities, with particular focus on all CGIAR (formerly the Consultative Group on International Agricultural Research but now known simply as CGIAR) breeding programs. Crop modeling can underpin breeding efforts in many different ways, including assessing genotypic adaptability and stability, characterizing and identifying target breeding environments, identifying tradeoffs among traits for such environments, and making predictions of the likely breeding value of the genotypes. Crop modeling science within the CGIAR has contributed to all of these. However, much progress remains to be done if modeling is to effectively contribute to more targeted and impactful breeding programs under changing climates. In a period in which CGIAR breeding programs are undergoing a major modernization process, crop modelers will need to be part of crop improvement teams, with a common understanding of breeding pipelines and model capabilities and limitations, and common data standards and protocols, to ensure they follow and deliver according to clearly defined breeding products. This will, in turn, enable more rapid and better-targeted crop modeling activities, thus directly contributing to accelerated and more impactful breeding efforts. 2018-12-05 2019-06-04T14:32:07Z 2019-06-04T14:32:07Z Journal Article https://hdl.handle.net/10568/101466 en Limited Access Diva Enterprises Private Limited Kishore A, Pal BD, Joshi K, Aggarwal P. 2018. Unfolding government policies towards the development of climate smart agriculture in India. Agricultural Economics Research Review 31:123-137. |
| spellingShingle | food security agriculture climate change agricultural policies climate-smart agriculture Kishore, Avinash Pal, Barun Deb Joshi, Kuhu Aggarwal, Pramod K. Unfolding government policies towards the development of climate smart agriculture in India |
| title | Unfolding government policies towards the development of climate smart agriculture in India |
| title_full | Unfolding government policies towards the development of climate smart agriculture in India |
| title_fullStr | Unfolding government policies towards the development of climate smart agriculture in India |
| title_full_unstemmed | Unfolding government policies towards the development of climate smart agriculture in India |
| title_short | Unfolding government policies towards the development of climate smart agriculture in India |
| title_sort | unfolding government policies towards the development of climate smart agriculture in india |
| topic | food security agriculture climate change agricultural policies climate-smart agriculture |
| url | https://hdl.handle.net/10568/101466 |
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