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Roostocks/Scion/Nitrogen Interactions Affect Secondary Metabolism in the Grape Berry

Overview of attention for article published in Frontiers in Plant Science, August 2016
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Title
Roostocks/Scion/Nitrogen Interactions Affect Secondary Metabolism in the Grape Berry
Published in
Frontiers in Plant Science, August 2016
DOI 10.3389/fpls.2016.01134
Pubmed ID
Authors

Aude Habran, Mauro Commisso, Pierre Helwi, Ghislaine Hilbert, Stefano Negri, Nathalie Ollat, Eric Gomès, Cornelis van Leeuwen, Flavia Guzzo, Serge Delrot

Abstract

The present work investigates the interactions between soil content, rootstock, and scion by focusing on the effects of roostocks and nitrogen supply on grape berry content. Scions of Cabernet Sauvignon (CS) and Pinot Noir (PN) varieties were grafted either on Riparia Gloire de Montpellier (RGM) or 110 Richter (110R) rootstock. The 4 rooststock/scion combinations were fertilized with 3 different levels of nitrogen after fruit set. Both in 2013 and 2014, N supply increased N uptake by the plants, and N content both in vegetative and reproductory organs. Rootstock, variety and year affected berry weight at harvest, while nitrogen did not affect significantly this parameter. Grafting on RGM consistently increased berry weight compared to 110R. PN consistently produced bigger berries than CS. CS berries were heavier in 2014 than in 2013, but the year effect was less marked for PN berries. The berries were collected between veraison and maturity, separated in skin and pulp, and their content was analyzed by conventional analytical procedures and untargeted metabolomics. For anthocyanins, the relative quantitation was fairly comparable with both LC-MS determination and HPLC-DAD, which is a fully quantitative technique. The data show complex responses of the metabolite content (sugars, organic acids, amino acids, anthocyanins, flavonols, flavan-3-ols/procyanidins, stilbenes, hydroxycinnamic, and hydroxybenzoic acids) that depend on the rootstock, the scion, the vintage, the nitrogen level, the berry compartment. This opens a wide range of possibilities to adjust the content of these compounds through the choice of the roostock, variety and nitrogen fertilization.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
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 %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 36%
Student > Ph. D. Student 11 14%
Student > Master 10 13%
Professor 7 9%
Professor > Associate Professor 3 4%
Other 6 8%
Unknown 12 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 57%
Biochemistry, Genetics and Molecular Biology 5 7%
Environmental Science 3 4%
Chemistry 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 5 7%
Unknown 16 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 August 2016.
All research outputs
#7,892,248
of 23,932,490 outputs
Outputs from Frontiers in Plant Science
#5,073
of 22,268 outputs
Outputs of similar age
#129,678
of 367,457 outputs
Outputs of similar age from Frontiers in Plant Science
#94
of 462 outputs
Altmetric has tracked 23,932,490 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 22,268 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 76% 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 367,457 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 64% of its contemporaries.
We're also able to compare this research output to 462 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.