W815
Utilizing 2D Imaging to Map Root System Architecture QTL in Carrot (Daucus carota L.)

Date: Tuesday, January 17, 2017
Time: 1:50 PM
Room: Pacific Salon 6-7 (2nd Floor)
Shelby Ellison , Department of Horticulture, University of Wisconsin, Madison, WI
Philipp W. Simon , USDA-Agricultural Research Service, Vegetable Crops Unit, University of Wisconsin-Madison, Madison, WI
Effective phenotyping in carrot is complicated by the fact that the agronomically valuable portion of the crop is underground. To better understand the genetics of carrot root architecture, novel approaches must be conceived and applied in the field of high resolution, high throughput phenotyping. One such approach is to scan roots and use 2D image analysis software to extract traits of interest. We have used RootNav and SmartRoot to measure carrot root architecture traits in an F2 mapping population between wild and cultivated carrot. Phenotypic measurements have been used in conjunction with genotypic information to better understand the genetic basis of lateral root formation and root shape in carrot. Establishing a protocol for 2D image analysis in carrot, as a model root crop, will facilitate the application of these technologies to other root and tuber crops such as sugar and table beet, potato, and cassava. Finally, increased knowledge pertaining to carrot root architecture can be used to design cultivars to better meet farmer and consumer needs.