Multiyear Maize management dataset collected in Chiapas, Mexico
For several decades, maize (Zea mays L.) management decisions in smallholder farming in tropical regions have been a puzzle. To best balance alternative management practices' environmental and economic outcomes, an extensive dataset was gathered through CIMMYT's knowledge hub in Chiapas, a state in...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2022
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/125880 |
| _version_ | 1855535440685170688 |
|---|---|
| author | Trevisan, Rodrigo G. Martin, Nicolas F. Fonteyne, Simon Verhulst, Nele Dorado Betancourt, Hugo Andres Jiménez, Daniel Gardeazábal Monsalve, Andrea |
| author_browse | Dorado Betancourt, Hugo Andres Fonteyne, Simon Gardeazábal Monsalve, Andrea Jiménez, Daniel Martin, Nicolas F. Trevisan, Rodrigo G. Verhulst, Nele |
| author_facet | Trevisan, Rodrigo G. Martin, Nicolas F. Fonteyne, Simon Verhulst, Nele Dorado Betancourt, Hugo Andres Jiménez, Daniel Gardeazábal Monsalve, Andrea |
| author_sort | Trevisan, Rodrigo G. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | For several decades, maize (Zea mays L.) management decisions in smallholder farming in tropical regions have been a puzzle. To best balance alternative management practices' environmental and economic outcomes, an extensive dataset was gathered through CIMMYT's knowledge hub in Chiapas, a state in southern Mexico. In a knowledge hub, farmers, with the support of farm advisors, compare conventional and improved agronomic practices side-by-side and install demonstration fields where they implement improved practices. In all these fields data on on-farm operations and results is collected. The dataset was assembled using field variables (yield, cultivars, fertilization and tillage practice), as well as environment variables from soil mapping (slope, elevation, soil texture, pH and organic matter concentration) and gridded weather datasets (precipitation, temperature, radiation and evapotranspiration). The dataset contains observations from 4585 fields and comprises a period of 7 years between 2012 and 2018. This dataset will facilitate analytical approaches to represent spatial and temporal variability of alternative crop management decisions based on observational data and explain model-generated predictions for maize in Chiapas, Mexico. In addition, this data can serve as an example for similar efforts in Big Data in Agriculture. |
| format | Journal Article |
| id | CGSpace125880 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1258802025-11-11T19:02:19Z Multiyear Maize management dataset collected in Chiapas, Mexico Trevisan, Rodrigo G. Martin, Nicolas F. Fonteyne, Simon Verhulst, Nele Dorado Betancourt, Hugo Andres Jiménez, Daniel Gardeazábal Monsalve, Andrea smallholders tropical agriculture sustainable intensification machine learning crop management aprendizaje automático intensificación sostenible pequeños agricultores data papers For several decades, maize (Zea mays L.) management decisions in smallholder farming in tropical regions have been a puzzle. To best balance alternative management practices' environmental and economic outcomes, an extensive dataset was gathered through CIMMYT's knowledge hub in Chiapas, a state in southern Mexico. In a knowledge hub, farmers, with the support of farm advisors, compare conventional and improved agronomic practices side-by-side and install demonstration fields where they implement improved practices. In all these fields data on on-farm operations and results is collected. The dataset was assembled using field variables (yield, cultivars, fertilization and tillage practice), as well as environment variables from soil mapping (slope, elevation, soil texture, pH and organic matter concentration) and gridded weather datasets (precipitation, temperature, radiation and evapotranspiration). The dataset contains observations from 4585 fields and comprises a period of 7 years between 2012 and 2018. This dataset will facilitate analytical approaches to represent spatial and temporal variability of alternative crop management decisions based on observational data and explain model-generated predictions for maize in Chiapas, Mexico. In addition, this data can serve as an example for similar efforts in Big Data in Agriculture. 2022-02 2022-12-12T16:13:29Z 2022-12-12T16:13:29Z Journal Article https://hdl.handle.net/10568/125880 en Open Access application/pdf Elsevier Trevisan, R.G.; Martin, N.F.; Fonteyne, S.; Verhulst, N.; Dorado Betancourt, H.A.; Jimenez, D.; Gardeazabal, A. (2022) Multiyear Maize management dataset collected in Chiapas, Mexico. Data in Brief 40: 107837. 7 p. ISSN: 2352-3409 |
| spellingShingle | smallholders tropical agriculture sustainable intensification machine learning crop management aprendizaje automático intensificación sostenible pequeños agricultores data papers Trevisan, Rodrigo G. Martin, Nicolas F. Fonteyne, Simon Verhulst, Nele Dorado Betancourt, Hugo Andres Jiménez, Daniel Gardeazábal Monsalve, Andrea Multiyear Maize management dataset collected in Chiapas, Mexico |
| title | Multiyear Maize management dataset collected in Chiapas, Mexico |
| title_full | Multiyear Maize management dataset collected in Chiapas, Mexico |
| title_fullStr | Multiyear Maize management dataset collected in Chiapas, Mexico |
| title_full_unstemmed | Multiyear Maize management dataset collected in Chiapas, Mexico |
| title_short | Multiyear Maize management dataset collected in Chiapas, Mexico |
| title_sort | multiyear maize management dataset collected in chiapas mexico |
| topic | smallholders tropical agriculture sustainable intensification machine learning crop management aprendizaje automático intensificación sostenible pequeños agricultores data papers |
| url | https://hdl.handle.net/10568/125880 |
| work_keys_str_mv | AT trevisanrodrigog multiyearmaizemanagementdatasetcollectedinchiapasmexico AT martinnicolasf multiyearmaizemanagementdatasetcollectedinchiapasmexico AT fonteynesimon multiyearmaizemanagementdatasetcollectedinchiapasmexico AT verhulstnele multiyearmaizemanagementdatasetcollectedinchiapasmexico AT doradobetancourthugoandres multiyearmaizemanagementdatasetcollectedinchiapasmexico AT jimenezdaniel multiyearmaizemanagementdatasetcollectedinchiapasmexico AT gardeazabalmonsalveandrea multiyearmaizemanagementdatasetcollectedinchiapasmexico |