Full dataset for high-throughput phenotyping-enabled genetic dissection of crop lodging in wheat.

The primary objective of this research was to evaluate the potential of
unmanned aerial systems-based imaging for quantification of crop lodging in wheat. This dataset contains images and associated files collected from large wheat breeding trials over the course of two seasons in 2016 and 2017. Using the validated digital lodging scores, we performed Genome-Wide Assocation Analysis on 1035 wheat genotypes and found a consistent peak at chromosome 2A. To follow up, we tested the hypothesis of complex genetic architecture of lodging in wheat by applying genomic prediction cross-validations within and across environments. Our findings provide a strong proof-of-concept in support of the application of unmanned aerial systems in breeding and genetic studies. This work was published in Frontiers in Plant Science (2019). This dataset provides a comprehensive collection of files to replicate the proposed methods and analysis.