A simple, cost-effective high-throughput image analysis pipeline improves genomic prediction accuracy for days to maturity in wheat.

Morteza Shabannejad Mohammad Reza Bihamta Eslam Majidi-Hervan Hadi Alipour Asa Ebrahimi

Published in: Plant methods (2020)

This study provided a robust, quick, and cost-effective machine learning-enabled image-phenotyping pipeline to improve the genomic prediction accuracy for days to maturity in wheat. The results encouraged the integration of phenomics and genomics in breeding programs.

Keyphrases

high throughput
machine learning
single cell
copy number
deep learning
public health
artificial intelligence
gene expression