Frontiers in Plant Science · 2024 · 15 citations · 22 references
AgriculturePlant BreedingPlant SciencesCrop ImprovementCrop ModelingPlant GeneticsAgronomic Trait EvaluationDecision Support For Crop ManagementMulti-environment TrialsSpatial Crop ModelingSpatial Variability AnalysisYield PredictionControlled Field TrialsFactor Analytic ModelsGenetic Yield PotentialGenotype Data AnalysisLinear Mixed ModelsMixed Linear ModelsMulti-environment TrialingNested Experimental Units
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.
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Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software · 2015 · 85.6K citations · Full text
Hadley Wickham · Journal of Statistical Software · 2014 · 902 citations · Full text
BLUP for phenotypic selection in plant breeding and variety testing
Hans‐Peter Piepho, Jens Möhring, Albrecht E. Melchinger et al. · Euphytica · 2007 · 844 citations