Genomics-Assisted Prediction Method for Apple Fruit Quality Traits and Disease Resistance and Use Thereof

摘要

The present disclosure provides a genomics-assisted prediction method for apple fruit quality traits and disease resistance and use thereof, and belongs to the technical field of plant genetics, genomics and breeding. The method is achieved by molecular markers. There are a total of 319 molecular markers, including 318 single-nucleotide polymorphism (SNP) markers and 1 InDel marker; and the molecular markers are associated with 16 traits of the Malus genus, including fruit ripening date, fruit shape, fruit cover color degree, fruit weight, soluble solid content, fruit juice pH value, malate content, chlorogenate content, procyanidin B2 content, flesh firmness at harvest, flesh crispness at harvest, flesh firmness retainability, flesh crispness retainability, fruit ring rot disease resistance, Glomerella leaf blotch resistance, and spur tree architecture. The molecular markers of the present disclosure can be used for apple germplasm resource evaluation and breeding, and can greatly improve apple breeding efficiency and shorten breeding cycle.