Breeding Science
Online ISSN : 1347-3735
Print ISSN : 1344-7610
ISSN-L : 1344-7610
Research Papers
Strawberry fruit shape: quantification by image analysis and QTL detection by genome-wide association analysis
Shiro NagamatsuMasao TsuboneTakuya WadaKoichiro OkuMiyuki MoriChiharu HirataAtsushi HayashiTakanari TanabataSachiko IsobeKinuko TakataKatsumi Shimomura
Author information
JOURNALS FREE ACCESS FULL-TEXT HTML
Supplementary material

2021 Volume 71 Issue 2 Pages 167-175

Details
Abstract

Fruit shape of cultivated strawberry (Fragaria × ananassa Duch.) is an important breeding target. To detect genomic regions associated with this trait, its quantitative evaluation is needed. Previously we created a multi-parent advanced-generation inter-cross (MAGIC) strawberry population derived from six founder parents. In this study, we used this population to quantify fruit shape. Elliptic Fourier descriptors (EFDs) were generated from 2 969 two-dimensional binarized fruit images, and principal component (PC) scores were calculated on the basis of the EFD coefficients. PC1–PC3 explained 96% of variation in shape and thus adequately quantified it. In genome-wide association study, the PC scores were used as phenotypes. Genome wide association study using mixed linear models revealed 2 quantitative trait loci (QTLs) for fruit shape. Our results provide a novel and effective method to analyze strawberry fruit morphology; the detected QTLs and presented method can support marker-assisted selection in practical breeding programs to improve fruit shape.

Information related to the author
© 2021 by JAPANESE SOCIETY OF BREEDING
Previous article Next article
feedback
Top