Genomic Informed Breeding Strategies for Strawberry Yield and Fruit Quality Traits.

ABSTRACT: Over the last two centuries, breeders have drastically modified the fruit quality of strawberries through artificial selection. However, there remains significant variation in quality across germplasm with scope for further improvements to be made. We reported extensive phenotyping of fruit quality and yield traits in a multi-parental strawberry population to allow genomic prediction and quantitative trait nucleotide (QTN) identification, thereby enabling the description of genetic architecture to inform the efficacy of implementing advanced breeding strategies. A negative relationship (r = -0.21) between total soluble sugar content and class one yield was identified, indicating a trade-off between these two essential traits. This result highlighted an established dilemma for strawb

SUBMITTER: Cockerton HM 

PROVIDER: S-EPMC8525896 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature