Unknown

Dataset Information

High-fidelity detection of crop biomass quantitative trait loci from low-cost imaging in the field.


ABSTRACT: Field-based, rapid, and nondestructive 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 destructive harvests, were measured in a Setaria recombinant inbred line mapping population segregating for aboveground productivity and architecture. A significant correlation was observed between PAI and biomass production across th

SUBMITTER: Banan D 

PROVIDER: S-EPMC6508524 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature