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

• Published in: The plant genome Vol. 17; no. 4; pp. e20507 - n/a
• Main Authors: Yusuf, Muyideen, Miller, Michael D., Stefaniak, Thomas R., Haagenson, Darrin, Endelman, Jeffrey B., Thompson, Asunta L., Shannon, Laura M.
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.12.2024; John Wiley and Sons Inc; Wiley
• Subjects: Accuracy; Agricultural production; class; Cloning; Color; Density; Digital imaging; Estimates; fresh market; genetic improvement; genome; Genome, Plant; Genomic analysis; genomics; Genomics - methods; Heritability; image analysis; Image processing; Image Processing, Computer-Assisted - methods; markets; Minnesota; multiple trait selection; Original; Phenotype; Polymorphism; Potatoes; prediction; Prediction models; selection index; Skin; Skin pigmentation; Solanum tuberosum; Solanum tuberosum - genetics; specific gravity; Minnesota

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 accu...