MixINN combines mixed models and deep learning to predict genotype-environment interactions in corn trials, yielding 5.8-7.2% higher average yields when selecting top-performing genotypes compared to standard methods.
Evalua- tion and optimization of wheat and maize national eval- uation systems in europe.Preprint (Version
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
MixINN: Accelerating Plant Breeding by Combining Mixed Models and Deep Learning for Interaction Prediction
MixINN combines mixed models and deep learning to predict genotype-environment interactions in corn trials, yielding 5.8-7.2% higher average yields when selecting top-performing genotypes compared to standard methods.