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Candidate loci for phenology and fruitfulness contributing to the phenotypic variability observed in grapevine

Overview of attention for article published in Theoretical and Applied Genetics, August 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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9 X users
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4 Wikipedia pages

Citations

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26 Dimensions

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76 Mendeley
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1 CiteULike
Title
Candidate loci for phenology and fruitfulness contributing to the phenotypic variability observed in grapevine
Published in
Theoretical and Applied Genetics, August 2013
DOI 10.1007/s00122-013-2170-1
Pubmed ID
Authors

Lukasz Grzeskowiak, Laura Costantini, Silvia Lorenzi, M. Stella Grando

Abstract

In this study, we identified several genes, which potentially contribute to phenological variation in the grapevine. This may help to maintain consistent yield and suitability of particular varieties in future climatic conditions. The timing of major developmental events in fruit crops differs with cultivar, weather conditions and ecological site. This plasticity results also in diverse levels of fruitfulness. Identifying the genetic factors responsible for phenology and fertility variation may help to improve these traits to better match future climates. Two Vitis vinifera populations, an F1 progeny of Syrah × Pinot Noir and a phenological core collection composed of 163 cultivars, were evaluated for phenology and fertility subtraits during three to six growing seasons in the same geographical location. The phenotypic variability in the core collection mostly overlapped with that observed in the F1 progeny and several accessions had exceeding values of phenological response. The progeny population was used together with SSR and SNP markers to map quantitative trait loci (QTLs). This allowed us to detect nine QTLs related to budburst, flowering beginning, the onset of ripening (véraison) and total fertility, explaining from 8 to 44 % of phenotypic variation. A genomic region on chromosome 15 was associated with budburst and véraison and two QTLs for fruitfulness were located on chromosomes 3 and 18. Several genes potentially affecting fertility and the timing of fruit development were proposed, based on their position and putative function. Allelic variation at these candidate loci may be explored by sampling accessions from the core collection.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
France 1 1%
Ireland 1 1%
Uruguay 1 1%
New Zealand 1 1%
Spain 1 1%
United States 1 1%
Unknown 69 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 32%
Researcher 18 24%
Other 6 8%
Student > Master 6 8%
Professor > Associate Professor 5 7%
Other 10 13%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 64%
Environmental Science 6 8%
Biochemistry, Genetics and Molecular Biology 6 8%
Social Sciences 2 3%
Economics, Econometrics and Finance 1 1%
Other 6 8%
Unknown 6 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 28 February 2024.
All research outputs
#4,520,071
of 25,067,172 outputs
Outputs from Theoretical and Applied Genetics
#617
of 3,731 outputs
Outputs of similar age
#36,283
of 203,693 outputs
Outputs of similar age from Theoretical and Applied Genetics
#4
of 12 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,731 research outputs from this source. They receive a mean Attention Score of 5.0. 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 203,693 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.