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Strawberry fruit shape: quantification by image analysis and QTL detection by genome-wide association analysis.
- Source :
-
Breeding Science . 2021, Vol. 71 Issue 2, p167-175. 9p. - Publication Year :
- 2021
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *STRAWBERRIES
*GENOME-wide association studies
*IMAGE analysis
*FRUIT
Subjects
Details
- Language :
- English
- ISSN :
- 13447610
- Volume :
- 71
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Breeding Science
- Publication Type :
- Academic Journal
- Accession number :
- 150484149
- Full Text :
- https://doi.org/10.1270/jsbbs.19106