Modelling GxE with historical weather information improves genomic prediction in new environments
Jussi Gillberg, Pekka Marttinen, Hiroshi Mamitsuka, Samuel Kaski A
The paper shows that using genomic data, machine learning, and historical weather data can predict crop yield in new environments, highlighting non-linear GxE effects and soil-rain interactions.
Bioinformatics · Apr 8, 2019Peer-reviewedBioinformatics