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Clone identification in Japanese flowering cherry (Prunus subgenus Cerasus) cultivars using nuclear SSR markers

Overview of attention for article published in Breeding Science, November 2012
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  • Good Attention Score compared to outputs of the same age (74th percentile)

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1 X user
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3 Wikipedia pages
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1 Google+ user

Citations

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26 Dimensions

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18 Mendeley
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1 CiteULike
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Title
Clone identification in Japanese flowering cherry (Prunus subgenus Cerasus) cultivars using nuclear SSR markers
Published in
Breeding Science, November 2012
DOI 10.1270/jsbbs.62.248
Pubmed ID
Authors

Shuri Kato, Asako Matsumoto, Kensuke Yoshimura, Toshio Katsuki, Kojiro Iwamoto, Yoshiaki Tsuda, Shogo Ishio, Kentaro Nakamura, Kazuo Moriwaki, Toshihiko Shiroishi, Takashi Gojobori, Hiroshi Yoshimaru

Abstract

Numerous cultivars of Japanese flowering cherry (Prunus subgenus Cerasus) are recognized, but in many cases they are difficult to distinguish morphologically. Therefore, we evaluated the clonal status of 215 designated cultivars using 17 SSR markers. More than half the cultivars were morphologically distinct and had unique genotypes. However, 22 cultivars were found to consist of multiple clones, which probably originate from the chance seedlings, suggesting that their unique characteristics have not been maintained through propagation by grafting alone. We also identified 23 groups consisting of two or more cultivars with identical genotypes. Most members of these groups were putatively synonymously related and morphologically identical. However, some of them were probably derived from bud sport mutants and had distinct morphologies. SSR marker analysis provided useful insights into the clonal status of the examined Japanese flowering cherry cultivars and proved to be a useful tool for cultivar characterization.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 22%
Professor > Associate Professor 4 22%
Student > Master 2 11%
Lecturer 1 6%
Student > Ph. D. Student 1 6%
Other 2 11%
Unknown 4 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 39%
Environmental Science 3 17%
Philosophy 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Engineering 1 6%
Other 0 0%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 April 2023.
All research outputs
#6,754,036
of 25,373,627 outputs
Outputs from Breeding Science
#79
of 475 outputs
Outputs of similar age
#50,849
of 202,248 outputs
Outputs of similar age from Breeding Science
#1
of 3 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 475 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 202,248 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them