Mr. Bean: a comprehensive statistical and visualization application for modeling agricultural field trials data
Crop improvement efforts have exploited new methods for modeling spatial trends using the arrangement of the experimental units in the field. These methods have shown improvement in predicting the genetic potential of evaluated genotypes. However, the use of these tools may be limited by the exposur...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Frontiers Media
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/175071 |
| _version_ | 1855527086785036288 |
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| author | Aparicio, Johan Gezan, Salvador A. Ariza-Suarez, Daniel Raatz, Bodo Díaz, Santiago Heilman-Morales, Ana Lobaton, Juan |
| author_browse | Aparicio, Johan Ariza-Suarez, Daniel Díaz, Santiago Gezan, Salvador A. Heilman-Morales, Ana Lobaton, Juan Raatz, Bodo |
| author_facet | Aparicio, Johan Gezan, Salvador A. Ariza-Suarez, Daniel Raatz, Bodo Díaz, Santiago Heilman-Morales, Ana Lobaton, Juan |
| author_sort | Aparicio, Johan |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Crop improvement efforts have exploited new methods for modeling spatial trends using the arrangement of the experimental units in the field. These methods have shown improvement in predicting the genetic potential of evaluated genotypes. However, the use of these tools may be limited by the exposure and accessibility to these products. In addition, these new methodologies often require plant scientists to be familiar with the programming environment used to implement them; constraints that limit data analysis efficiency for decision-making. These challenges have led to the development of Mr.Bean, an accessible and user-friendly tool with a comprehensive graphical visualization interface. The application integrates descriptive analysis, measures of dispersion and centralization, linear mixed model fitting, multi-environment trial analysis, factor analytic models, and genomic analysis. All these capabilities are designed to help plant breeders and scientist working with agricultural field trials make informed decisions more quickly. Mr.Bean is available for download at https://github.com/AparicioJohan/MrBeanApp. |
| format | Journal Article |
| id | CGSpace175071 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1750712025-12-08T10:29:22Z Mr. Bean: a comprehensive statistical and visualization application for modeling agricultural field trials data Aparicio, Johan Gezan, Salvador A. Ariza-Suarez, Daniel Raatz, Bodo Díaz, Santiago Heilman-Morales, Ana Lobaton, Juan modelling models statistical data field experimentation-field trials Crop improvement efforts have exploited new methods for modeling spatial trends using the arrangement of the experimental units in the field. These methods have shown improvement in predicting the genetic potential of evaluated genotypes. However, the use of these tools may be limited by the exposure and accessibility to these products. In addition, these new methodologies often require plant scientists to be familiar with the programming environment used to implement them; constraints that limit data analysis efficiency for decision-making. These challenges have led to the development of Mr.Bean, an accessible and user-friendly tool with a comprehensive graphical visualization interface. The application integrates descriptive analysis, measures of dispersion and centralization, linear mixed model fitting, multi-environment trial analysis, factor analytic models, and genomic analysis. All these capabilities are designed to help plant breeders and scientist working with agricultural field trials make informed decisions more quickly. Mr.Bean is available for download at https://github.com/AparicioJohan/MrBeanApp. 2024-01-03 2025-06-12T08:51:09Z 2025-06-12T08:51:09Z Journal Article https://hdl.handle.net/10568/175071 en Open Access application/pdf Frontiers Media Aparicio, J.; Gezan, S.A.; Ariza-Suarez, D.; Raatz, B.; Díaz, S.; Heilman-Morales, A.; Lobaton, J. (2024) Mr. Bean: a comprehensive statistical and visualization application for modeling agricultural field trials data. Frontiers in Plant Science 14: 1290078. ISSN: 1664-462X |
| spellingShingle | modelling models statistical data field experimentation-field trials Aparicio, Johan Gezan, Salvador A. Ariza-Suarez, Daniel Raatz, Bodo Díaz, Santiago Heilman-Morales, Ana Lobaton, Juan Mr. Bean: a comprehensive statistical and visualization application for modeling agricultural field trials data |
| title | Mr. Bean: a comprehensive statistical and visualization application for modeling agricultural field trials data |
| title_full | Mr. Bean: a comprehensive statistical and visualization application for modeling agricultural field trials data |
| title_fullStr | Mr. Bean: a comprehensive statistical and visualization application for modeling agricultural field trials data |
| title_full_unstemmed | Mr. Bean: a comprehensive statistical and visualization application for modeling agricultural field trials data |
| title_short | Mr. Bean: a comprehensive statistical and visualization application for modeling agricultural field trials data |
| title_sort | mr bean a comprehensive statistical and visualization application for modeling agricultural field trials data |
| topic | modelling models statistical data field experimentation-field trials |
| url | https://hdl.handle.net/10568/175071 |
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