Drone phenotyping maps wheat nitrogen responsiveness. (IMAGE)

Nanjing Agricultural University The Academy of Science

Drone phenotyping maps wheat nitrogen responsiveness.

Caption

Drone phenotyping maps wheat nitrogen responsiveness. A multiseasonal study of 54 wheat varieties under three nitrogen levels used low-cost drone and manual phenotyping, AirMeasurer-based dynamic analysis of six nitrogen-response traits, machine learning, and a Wheat55K single-nucleotide polymorphism (SNP) array-based genome-wide association study (GWAS) to classify four nitrogen-responsiveness groups and explore associated genetic loci. The random forest-nitrogen response (RF-NRES) model predicted nitrogen-responsiveness groups with 91.6% accuracy.

Credit

Plant Phenomics

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CC BY

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