Cropformer: An interpretable deep learning framework for crop genomic prediction.

Abstract excerpt

Machine learning and deep learning are extensively employed in genomic selection (GS) to expedite the identification of superior genotypes and accelerate breeding cycles. However, a significant challenge with current data-driven deep learning models in GS lies in their low robustness and poor interpretability. To address these challenges, we developed Cropformer, a deep learning framework for predicting crop...

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• Crops, Agricultural
• Deep Learning
• Genome, Plant
• Oryza
• Plant Breeding