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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Bibliographic Details
Published inBreeding Science Vol. 71; no. 2; pp. 167 - 175
Main Authors Nagamatsu, Shiro, Tsubone, Masao, Wada, Takuya, Oku, Koichiro, Mori, Miyuki, Hirata, Chiharu, Hayashi, Atsushi, Tanabata, Takanari, Isobe, Sachiko, Takata, Kinuko, Shimomura, Katsumi
Format Journal Article
LanguageEnglish
Published Tokyo Japanese Society of Breeding 01.01.2021
Japan Science and Technology Agency
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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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content type line 23
Communicated by Takeshi Hayashi
ISSN:1344-7610
1347-3735
DOI:10.1270/jsbbs.19106