Paper · 2016 · Frontiers in Plant Science

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

Aude Habran; Mauro Commisso; Pierre Helwi; et al.

9
claims
18
verbatim quotes
66
citations
3
research areas
✓
Open access · cc-by

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.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 9

Intervention effectobservedoriginal resultmeasured

Claim · model-written summary

N supply increased N uptake by the plants in 2013 and 2014.

Taxon
grapet0
Treatment
N supplye1
Outcome
N uptakee1
Direction
increasede1
Setting
2013 and 2014e1

Not reportedComparator

Verbatim

t0

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

✓ located verbatim in the source · title, characters 0–84 · show in text ↑
e1

“Both in 2013 and 2014, N supply increased N uptake by the plants, and N content both in vegetative and reproductory organs”

✓ located verbatim in the source · abstract, characters 435–557 · show in text ↑
Intervention effectobservedoriginal resultmeasured

Claim · model-written summary

N supply increased N content in vegetative and reproductive organs in 2013 and 2014.

Taxon
grapet0
Organ / stage
vegetative and reproductory organse1
Treatment
N supplye1
Outcome
N contente1
Direction
increasede1
Setting
2013 and 2014e1

Not reportedComparator

Verbatim

t0

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

✓ located verbatim in the source · title, characters 0–84 · show in text ↑
e1

“Both in 2013 and 2014, N supply increased N uptake by the plants, and N content both in vegetative and reproductory organs”

✓ located verbatim in the source · abstract, characters 435–557 · show in text ↑
Intervention effectobservedoriginal resultno effectnot significant (as stated)measured

Claim · model-written summary

Nitrogen supply did not significantly affect berry weight at harvest.

Taxon
grapet0
Treatment
nitrogene2
Outcome
berry weight at harveste2
Direction
did not affecte2

Not reportedComparator

Verbatim

t0

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

✓ located verbatim in the source · title, characters 0–84 · show in text ↑
e2

“Rootstock, variety and year affected berry weight at harvest, while nitrogen did not affect significantly this parameter”

✓ located verbatim in the source · abstract, characters 559–679 · show in text ↑
Intervention effectobservedoriginal resultmeasured

Claim · model-written summary

Grafting on RGM rootstock increased berry weight compared with 110R rootstock.

Taxon
grapet0
Material
RGMe3
Treatment
Grafting on RGMe3
Outcome
berry weighte3
Direction
increasede3
Qualifier
consistentlye3
Comparator
110Re3

Verbatim

t0

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

✓ located verbatim in the source · title, characters 0–84 · show in text ↑
e3

“Grafting on RGM consistently increased berry weight compared to 110R”

✓ located verbatim in the source · abstract, characters 681–749 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Pinot Noir (PN) scions produced bigger berries than Cabernet Sauvignon (CS) scions.

Taxon
grapet0
Material
PNe4
Outcome
berriese4
Direction
biggere4
Qualifier
consistentlye4
Comparator
CSe4

Verbatim

t0

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

✓ located verbatim in the source · title, characters 0–84 · show in text ↑
e4

“PN consistently produced bigger berries than CS”

✓ located verbatim in the source · abstract, characters 751–798 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Cabernet Sauvignon berries were heavier in 2014 than in 2013.

Taxon
grapet0
Material
CSe5
Outcome
berriese5
Direction
heaviere5
Comparator
2013e5
Setting
2014e5

Verbatim

t0

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

✓ located verbatim in the source · title, characters 0–84 · show in text ↑
e5

“CS berries were heavier in 2014 than in 2013, but the year effect was less marked for PN berries”

✓ located verbatim in the source · abstract, characters 800–896 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

The year effect on berries was less marked for Pinot Noir than for Cabernet Sauvignon.

Taxon
grapet0
Material
PNe5
Outcome
year effecte5
Direction
less markede5

Verbatim

t0

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

✓ located verbatim in the source · title, characters 0–84 · show in text ↑
e5

“CS berries were heavier in 2014 than in 2013, but the year effect was less marked for PN berries”

✓ located verbatim in the source · abstract, characters 800–896 · show in text ↑
Associationobservedoriginal resultmixedmeasured

Claim · model-written summary

Metabolite content responded in complex ways that depend on rootstock, scion, vintage, nitrogen level and berry compartment.

Taxon
grapet0
Organ / stage
berry compartmente6
Treatment
nitrogen levele6
Outcome
metabolite contente6

Not reportedDirection

Verbatim

t0

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

✓ located verbatim in the source · title, characters 0–84 · show in text ↑
e6

“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”

✓ located verbatim in the source · abstract, characters 1233–1529 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Relative quantitation of anthocyanins was fairly comparable to LC-MS determination and to HPLC-DAD.

Taxon
grapet0
Outcome
relative quantitatione7
Direction
fairly comparablee7
Comparator
LC-MS determination and HPLC-DADe7

Verbatim

t0

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

✓ located verbatim in the source · title, characters 0–84 · show in text ↑
e7

“For anthocyanins, the relative quantitation was fairly comparable with both LC-MS determination and HPLC-DAD”

✓ located verbatim in the source · abstract, characters 1082–1190 · show in text ↑

nitrogen · yield · VitisResults differ

33 papers: 25 positive, 8 negative or no effect

7 papers in the same direction as this paper · 25 in the opposite direction

  1. positive
  2. positive
  3. positive

29 papers more in this group

See all 33 papers →

Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.