Is an easy to use R-Shiny web-app that simplifies the analysis of large-scale plant breeding experimental analysis by using the power and versatility of Linear Mixed Models (LMM) . This app combines the analytical robustness and speed of ASReml and SpATS (Rodriguez-Alvarez et al. 2018)¹ with the visual power offered by R. Mr.Bean provides a graphical workflow for importing data, identifying outliers, and fitting field data using LMM with or without spatial correction. The results are BLUPs/BLUEs predictions and heritabilities for single-environmental experiments or multiple-environmental trial (MET) analysis. In addition, Mr.Bean also provides a module for exploring results from METs using several graphical and multivariate techniques.

More about: https://mrpackages.netlify.app/mrbean.html

This app is a convenient and accurate way to analyze your agronomic data, visualize field patterns and select genotypes all in one place using the latest statistical and computational tools. Features are built-in separate modules and you can start to discover the advantages of our tool as soon as you download the package!

Mr.Bean is the result from a collaboration of an international group of researchers including statisticians, quantitative geneticists, and breeders who wanted of simplify and automate routine analysis to predict accurately the genetic potential of genotypes coming out of plant breeding pipelines.

¹ Rodriguez-Alvarez, M.X, Boer, M.P., van Eeuwijk, F.A., and Eilers, P.H.C. (2018). Correcting for spatial heterogeneity in plant breeding experiments with P-splines. Spatial Statistics, 23, 52 - 71.