Review: Crop phenomics and high-throughput phenotyping (Mol. Plant)

Crop phenomics has lagged behind crop genomics because traditional methods are time-consuming, expensive, invasive and subjective. Recently, high-throughput, automated, sensor and machine-vision methods have been developed, as reviewed by Yang et al. This review describes a large number of phenotyping platforms, including the early efforts, and compares their applications, strengths and weakenesses. (It’s interesting to see how rapidly these technologies have developed and become faster, better, and more reliable.) They also discuss various sensors and imaging methods (red-green-blue, thermal, hyperspectral), different ways to analyze roots (CT, MRI, PET), field-level sensing using towers or mobile carts, and remote sensing using drones. Post-harvest phenotyping and combined phenotyping-genotyping methods are also discussed. This is an excellent and accessible introduction into the exiting arena of crop phenomics and well worth a read. (Summary by Mary Williams) Mol. Plant 10.1016/j.molp.2020.01.008