R scripts to reproduce the results presented in the paper "Bayesian additive regression trees for genotype by environment interaction models". The Annals of Applied Statistics 17 (3) (2023).
Package to genomic prediction focused on GE genomic models
The aim of this study is to predict grain yield (tons/hect.) of a set of maize hybrids sharing a common parent by using their genomic and reaction norm data. All of the analysis was conducted using R.
By analyzing four cultivars grown across five different European climates, the study integrates metabolomic and transcriptomic data to uncover flavour compounds regulation. The findings highlight specific genes linked to flavour stability, offering molecular targets for breeding more consistent and climate-resilient strawberry varieties.
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