A parallel convolution attention network for crop genomic prediction.

Abstract excerpt

Genome prediction is a breeding strategy that predicts crop phenotype through genomic markers. Traditional statistical models cannot accurately capture the complex relationships between genotypes and phenotypes, and deep neural networks have shown significant advantages in capturing nonlinear relationships. Deep learning methods in genome selection primarily utilize sequential convolutional kernels, which can...

Topics

• Genomics
• Crops, Agricultural
• Prediction Algorithms
• Convolutional Neural Networks
• Genome, Plant
• Deep Learning
• Genotype