The results of the science of this project on data drive agronomy work create a massive opportunity for climate services to optimize Maize management in Mexico
Together with the MasAgro initiative in Mexico, the data-driven agronomy team determined through the analysis of historical data, the main limiting factors of the yield per region to guide the design of site-specific management recommendations. The drivers of productivity in some regions in Mexico c...
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
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2018
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| Acceso en línea: | https://hdl.handle.net/10568/123173 |
| _version_ | 1855533263100051456 |
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| author | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_browse | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_facet | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_sort | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Together with the MasAgro initiative in Mexico, the data-driven agronomy team determined through the analysis of historical data, the main limiting factors of the yield per region to guide the design of site-specific management recommendations. The drivers of productivity in some regions in Mexico changed according to the regions |
| format | Informe técnico |
| id | CGSpace123173 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | CGSpace1231732023-03-14T12:11:21Z The results of the science of this project on data drive agronomy work create a massive opportunity for climate services to optimize Maize management in Mexico CGIAR Research Program on Climate Change, Agriculture and Food Security maize climate productivity development rural development management data analysis data analysis agronomy services climate services systems design data management agrifood systems sciences factors initiatives limiting factors Together with the MasAgro initiative in Mexico, the data-driven agronomy team determined through the analysis of historical data, the main limiting factors of the yield per region to guide the design of site-specific management recommendations. The drivers of productivity in some regions in Mexico changed according to the regions 2018-12-31 2022-10-06T14:24:34Z 2022-10-06T14:24:34Z Report https://hdl.handle.net/10568/123173 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security. 2018. The results of the science of this project on data drive agronomy work create a massive opportunity for climate services to optimize Maize management in Mexico. Reported in Climate Change, Agriculture and Food Security Annual Report 2018. Innovations. |
| spellingShingle | maize climate productivity development rural development management data analysis data analysis agronomy services climate services systems design data management agrifood systems sciences factors initiatives limiting factors CGIAR Research Program on Climate Change, Agriculture and Food Security The results of the science of this project on data drive agronomy work create a massive opportunity for climate services to optimize Maize management in Mexico |
| title | The results of the science of this project on data drive agronomy work create a massive opportunity for climate services to optimize Maize management in Mexico |
| title_full | The results of the science of this project on data drive agronomy work create a massive opportunity for climate services to optimize Maize management in Mexico |
| title_fullStr | The results of the science of this project on data drive agronomy work create a massive opportunity for climate services to optimize Maize management in Mexico |
| title_full_unstemmed | The results of the science of this project on data drive agronomy work create a massive opportunity for climate services to optimize Maize management in Mexico |
| title_short | The results of the science of this project on data drive agronomy work create a massive opportunity for climate services to optimize Maize management in Mexico |
| title_sort | results of the science of this project on data drive agronomy work create a massive opportunity for climate services to optimize maize management in mexico |
| topic | maize climate productivity development rural development management data analysis data analysis agronomy services climate services systems design data management agrifood systems sciences factors initiatives limiting factors |
| url | https://hdl.handle.net/10568/123173 |
| work_keys_str_mv | AT cgiarresearchprogramonclimatechangeagricultureandfoodsecurity theresultsofthescienceofthisprojectondatadriveagronomyworkcreateamassiveopportunityforclimateservicestooptimizemaizemanagementinmexico AT cgiarresearchprogramonclimatechangeagricultureandfoodsecurity resultsofthescienceofthisprojectondatadriveagronomyworkcreateamassiveopportunityforclimateservicestooptimizemaizemanagementinmexico |