Genomic prediction for potato (Solanum tuberosum) quality traits improved through image analysis.

ABSTRACT: Potato (Solanum tuberosum L.) is the most widely grown vegetable in the world. Consumers and processors evaluate potatoes based on quality traits such as shape and skin color, making these traits important targets for breeders. Achieving and evaluating genetic gain is facilitated by precise and accurate trait measures. Historically, quality traits have been measured using visual rating scales, which are subject to human error and necessarily lump individuals with distinct characteristics into categories. Image analysis offers a method of generating quantitative measures of quality traits. In this study, we use TubAR, an image-analysis R package, to generate quantitative measures of shape and skin color traits for use in genomic prediction. We developed and compared different genomic models

SUBMITTER: Yusuf M 

PROVIDER: S-EPMC11628938 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature