High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat

by Xu Wang, Jong Xuan, Byron Evers, Sandesh Shrestha, Robert Pless, Jesse A. Poland
Scientific Research Year: 2019 DOI: https://doi.org/10.1093/gigascience/giz120

Abstract

Measurement of plant traits with precision and speed on large populations has emerged as a critical bottleneck in connecting genotype to phenotype in genetics and breeding. This bottleneck limits advancements in understanding plant genomes and the development of improved, high-yielding crop varieties.

Keywords

high-throughput phenotyping genetic architecture wheat flowering time