MeNet: A mixed-effect deep neural network for multi-environment genomic prediction of agronomic traits.

Abstract excerpt

Accurate genomic prediction of agronomic traits is critical for modern breeding and agriculture. Deep learning has great potential to enhance prediction by modeling nonlinearity, but its applications remain limited by inconsistent performance across diverse agronomic traits and environments and a lack of biological interpretability. Here, we propose a mixed-effect deep neural network (MeNet), a novel framework...

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• Crops, Agricultural
• Deep Learning
• Gene-Environment Interaction
• Neural Networks, Computer
• Oryza