Evidence map›Paper›PMID 35681317›Full record

ArticleFoods (Basel, Switzerland)2022

Evolution of Volatile Aroma Compounds and Amino Acids in Cabernet Gernischt Grape Berries (

Kangqi Geng, Dongmei Li, Jing Zhang, Yanxia Zhang, Zhennan Zhan, Zhenping Wang

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Kangqi GengSchool of Life Sciences, Ningxia University, Yinchuan 750021, China.
Dongmei LiCollege of Agriculture, Ningxia University, Yinchuan 750021, China.
Jing ZhangCollege of Agriculture, Ningxia University, Yinchuan 750021, China.
Yanxia ZhangSchool of Life Sciences, Ningxia University, Yinchuan 750021, China.
Zhennan ZhanSchool of Life Sciences, Ningxia University, Yinchuan 750021, China.
Zhenping WangSchool of Life Sciences, Ningxia University, Yinchuan 750021, China.
Ningxia University · CN

Funding

China Agriculture Research System for Grape Industry CARS-29-zp-03National Natural Science Foundation of China 31660551
6 · The paper itself

Abstract

Soil burial is a survival strategy for grapevines that can safely overwinter in north-western regions of China. A suitable training system was beneficial for soil burial to provide winter protection. Moreover, the training system can also significantly affect fruit quality during the development of grape berries, such as primary and secondary metabolites. In this study, four-year-old Cabernet Gernischt grapevines were used as experimental material and exposed to four training systems, including the Ningxia traditional vertical trunk (control, CK); the gobelet (T1); single guyot (T2); slant trunk with vertical shoot positioning (STVSP) (T3). The results showed that total soluble solid total phenol content was 12.69%, 57% higher under T3 training systems than in the control, and T3 alleviated the canopy density, leading to improving the leaf photosynthetic efficiency gas chromatography-mass spectrometry (GC-MS) assay used to detect the aroma compounds. The results indicated that the T3 training system enhanced the accumulation of alcohols, carbonyl compounds, C6/C9 and esters, which account for the largest proportion of volatile compounds, and the qRT-PCR reveals that

Indexed as

amino acidsCabernet Gernischtgene expressiontraining systemsvolatile aroma compounds

Identifiers

PMID35681317
PMCPMC9180044
OpenAlexW4281769730

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.