Data from: High fidelity detection of crop biomass QTL from low-cost imaging in the field

Darshi Banan, Rachel E. Paul, Max J. Feldman, Mark W. Holmes, Hannah Schlake, Ivan Baxter, Hui Jiang & Andrew D.B. Leakey
Field-based, rapid, and non-destructive techniques for assessing plant productivity are needed to accelerate the discovery of genotype-to-phenotype relationships in next-generation biomass grass crops. The use of hemispherical imaging and light attenuation modeling was evaluated against destructive harvest measures with respect to their ability to accurately capture phenotypic and genotypic relationships in a field-grown grass crop. Plant area index (PAI) estimated from below-canopy hemispherical images, as well as a suite of thirteen traits assessed by manual...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
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