3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture.

ABSTRACT: Identification of genes that control root system architecture in crop plants requires innovations that enable high-throughput and accurate measurements of root system architecture through time. We demonstrate the ability of a semiautomated 3D in vivo imaging and digital phenotyping pipeline to interrogate the quantitative genetic basis of root system growth in a rice biparental mapping population, Bala × Azucena. We phenotyped >1,400 3D root models and >57,000 2D images for a suite of 25 traits that quantified the distribution, shape, extent of exploration, and the intrinsic size of root networks at days 12, 14, and 16 of growth in a gellan gum medium. From these data we identified 89 quantitative trait loci, some of which correspond to those found previously in soil-grown plants, and prov

SUBMITTER: Topp CN 

PROVIDER: S-EPMC3645568 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature