Strawberry fruit shape: quantification by image analysis and QTL detection by genome-wide association analysis
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 fr...
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Published in | Breeding Science Vol. 71; no. 2; pp. 167 - 175 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Tokyo
Japanese Society of Breeding
01.01.2021
Japan Science and Technology Agency |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Communicated by Takeshi Hayashi |
ISSN: | 1344-7610 1347-3735 |
DOI: | 10.1270/jsbbs.19106 |