Characterizing Berry Quality in Five ‘Merlot’ Clones from the Hexi Corridor Region of China Through GC-MS and Metabolomics

Clonal selection is essential for adapting wine production to specific terroirs. To characterize clonal variation in berry quality, five ‘Merlot’ clones (M343, VCR1, VCR3, VCR13, and VCR101) grown in the Hexi Corridor region of Gansu Province, China, were evaluated during the 2024 growing season. An integrated analysis of morphological, physicochemical, phenolic, metabolomic, and volatile traits was conducted to provide a multidimensional assessment of clone-specific berry quality under the arid conditions of this region. VCR1 exhibited the highest total soluble solids and anthocyanin contents, alongside the largest number of annotated metabolites. VCR101 had the highest titratable acidity and the most diverse flavonoid profile, whereas VCR13 showed the highest total soluble sugar content. VCR3 had the highest tannin and total phenolic contents and also exhibited the greatest number and total semi-quantitative relative abundance of volatile compounds. These findings demonstrate that, under arid conditions, the clones differ in their accumulation patterns of sugars, organic acids, phenolics, and aroma-related metabolites. Exploratory principal component analysis identified VCR3 and VCR1 as promising candidates for production objectives emphasizing different quality attributes. These findings provide practical information for clonal selection, germplasm evaluation, wine grape breeding, and region-specific cultivation under arid environmental conditions.

Authors

Institutions

Publication Details

Journal
Horticulturae
Published
2026-08-17
DOI
https://doi.org/10.3390/horticulturae12081028
Primary Topic
Horticultural and Viticultural Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterizing Berry Quality in Five ‘Merlot’ Clones from the Hexi Corridor Region of China Through GC-MS and Metabolomics

Huilan Qiao, Xintong Nan, Xing Tang, Zonghuan Ma et al.
Horticulturae
Horticultural and Viticultural Research
article

Characterizing Berry Quality in Five ‘Merlot’ Clones from the Hexi Corridor Region of China Through GC-MS and Metabolomics

Huilan Qiao, Xintong Nan, Xing Tang, Zonghuan Ma, Wenfang Li, Lizhen Chen, Xuemei Hou
article en

Abstract

Clonal selection is essential for adapting wine production to specific terroirs. To characterize clonal variation in berry quality, five ‘Merlot’ clones (M343, VCR1, VCR3, VCR13, and VCR101) grown in the Hexi Corridor region of Gansu Province, China, were evaluated during the 2024 growing season. An integrated analysis of morphological, physicochemical, phenolic, metabolomic, and volatile traits was conducted to provide a multidimensional assessment of clone-specific berry quality under the arid conditions of this region. VCR1 exhibited the highest total soluble solids and anthocyanin contents, alongside the largest number of annotated metabolites. VCR101 had the highest titratable acidity and the most diverse flavonoid profile, whereas VCR13 showed the highest total soluble sugar content. VCR3 had the highest tannin and total phenolic contents and also exhibited the greatest number and total semi-quantitative relative abundance of volatile compounds. These findings demonstrate that, under arid conditions, the clones differ in their accumulation patterns of sugars, organic acids, phenolics, and aroma-related metabolites. Exploratory principal component analysis identified VCR3 and VCR1 as promising candidates for production objectives emphasizing different quality attributes. These findings provide practical information for clonal selection, germplasm evaluation, wine grape breeding, and region-specific cultivation under arid environmental conditions.

HorticulturaeVol. 12(8)
Gansu Agricultural University (CN)
Openalex Percentile: Top 11%
Horticultural and Viticultural Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.