Mr.Bean: a comprehensive statistical and visualization application for modeling agricultural field trials data.
breeding
experimental designs
multi-environmental analysis
spatial analysis
trial
Journal
Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200
Informations de publication
Date de publication:
2023
2023
Historique:
received:
06
09
2023
accepted:
01
12
2023
medline:
18
1
2024
pubmed:
18
1
2024
entrez:
18
1
2024
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 38235208
doi: 10.3389/fpls.2023.1290078
pmc: PMC10792065
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1290078Informations de copyright
Copyright © 2024 Aparicio, Gezan, Ariza-Suarez, Raatz, Diaz, Heilman-Morales and Lobaton.
Déclaration de conflit d'intérêts
Author SG is employed by VSN International, Author AH-M is employed by AES Big Data Pipeline Unit. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.