242个鲜食葡萄品种果实香气组分数据集
收稿日期: 2024-03-18
录用日期: 2024-04-14
网络出版日期: 2025-02-05
基金资助
国家重点研发计划(2023YFD1200103);国家农业科技园区专项(2021C-01);山东省重点研发计划(2022TZXD0010);中国农业科学院创新工程项目(CAAS-ASTIP-2021-RIP-02);怀来葡萄与葡萄酒产业科技特派团
Dataset of Aromatic Components from the Fruits of 242 Table Grape Varieties
Received date: 2024-03-18
Accepted date: 2024-04-14
Online published: 2025-02-05
香气是葡萄重要的品质性状之一,也是葡萄品质研究的热点和分子设计育种的重要内容。葡萄种质资源丰富,在香气性状上也表现出了丰富的遗传多样性。本研究使用固相微萃取—气相色谱—质谱联用技术(SPME-GC-MS)对242个葡萄品种果实香气组分和含量进行了测定,并开展了组分与感官评价的相关性、组分之间的相关性和品种之间的主成分分析。共检测出526种挥发性组分,并从中筛选出108种可能的香气组分,包括酯类、醇类、醛类、酮类、萜类、烃类、酸类和呋喃类共8种类型,从种类数上看,酯类最多,其次是萜类,从频次上看,醛类最高,其次是烃类和醇类。与香味感官评价相关性系数最高的前十种组分包括6种酯类、3种萜类和1种烃类,其中己酸乙酯相关系数最高,其次为2—己烯酸乙酯和芳樟醇。同种类型的组分之间表现出了较高的相关性,特别是酯类、萜类和呋喃类,不同类型的相关性比较低。主成分分析大部分的品种聚在一起,并在三个主成分方向上存在发散,并且与感官评价的结果高度一致。本研究为研究葡萄香气性状遗传多样性和种质特异性提供了重要的数据支持。
数据摘要:
| 项目 | 描述 |
|---|---|
| 数据库(集)名称 | 242个鲜食葡萄品种果实香气组分数据集 |
| 所属学科 | 农学,生物学 |
| 研究主题 | 葡萄香气组分与含量 |
| 数据时间范围 | 2023年—2024年 |
| 时间分辨率 | 年 |
| 数据地理空间覆盖 | 河北省张家口市怀来县 |
| 数据类型与技术格式 | .XLS和.XLSX |
| 数据库(集)组成 | 本数据集由248个表格数据组成,主要包括242个葡萄品种果实香气GC-MS测定结果、挥发性组分和丰度汇总、香气组分和丰度汇总、感官评价、香气组分与感官评价相关性、香气组分之间的相关性等。 |
| 数据量 | 39.54 MB |
| 数据可用性 | DOI:https://doi.org/10.57760/sciencedb.agriculture.00107 CSTR: |
| 经费支持 | 国家重点研发计划(2023YFD1200103);国家农业科技园区专项(2021C-01);山东省重点研发计划(2022TZXD0010);中国农业科学院创新工程项目(CAAS-ASTIP-2021-RIP-02);怀来葡萄与葡萄酒产业科技特派团 |
冀晓昊, 武亚敬, 于祎飞, 王孝娣, 刘凤之, 李明亮, 王贺, 刘霞, 刘俊, 王海波 . 242个鲜食葡萄品种果实香气组分数据集[J]. 农业大数据学报, 2025 , 7(1) : 118 -125 . DOI: 10.19788/j.issn.2096-6369.100023
Aroma is one of the important quality traits of grapes and a focus of research on grape quality as well as an essential aspect of molecular design breeding. Grapes have a rich germplasm resource, which also exhibits abundant genetic diversity in aroma traits. In this study, solid-phase microextraction coupled with gas chromatography-mass spectrometry (SPME-GC-MS) was used to measure the aromatic components and their contents in the fruit of 242 grape varieties. The study also conducted correlation analyses between the components and sensory evaluation, inter-component correlations, and principal component analysis among the varieties. A total of 526 volatile components were detected, and 108 potential aroma components were screened, including esters, alcohols, aldehydes, ketones, terpenes, hydrocarbons, acids, and furans, covering eight types. Esters were the most numerous, followed by terpenes, while aldehydes were the most frequent, followed by hydrocarbons and alcohols. The top ten components with the highest correlation coefficients related to aroma sensory evaluation included six esters, three terpenes, and one hydrocarbon, with ethyl hexanoate having the highest correlation coefficient, followed by ethyl 2-hexenoate and linalool. Components of the same type exhibited high correlations, especially esters, terpenes, and furans, while correlations between different types were relatively low. Principal component analysis showed that most of the varieties clustered together and diverged in three principal component directions, which highly corresponded with the results of the sensory evaluation. This study provides essential data support for researching the genetic diversity of grape aroma traits and the specificity of germplasm.
Data summary:
| Items | Description |
|---|---|
| Dataset name | Dataset of Aromatic Components from the Fruits of 242 Table Grape Varieties |
| Specific subject area | Agronomy, biology |
| Research topic | Grape aroma components and content |
| Time range | 2023-2024 |
| Temporal resolution | year |
| Geographical scope | Huailai County, Zhangjiakou City, Hebei Province |
| Data types and technical formats | .XLS and.XLSX |
| Dataset structure | This dataset consists of 248 tabular data entries, primarily including GC-MS measurement results of fruit aroma from 242 grape varieties, summaries of volatile components and abundance, summaries of aroma components and abundance, sensory evaluation, correlations between aroma components and sensory evaluation, and correlations among aroma components. |
| Volume of dataset | 39.54 MB |
| Data accessibility | DOI:https://doi.org/10.57760/sciencedb.agriculture.00107 CSTR: |
| Financial support | National Key R&D Program(2023YFD1200103); National Agricultural Science and Technology Park Special Project (2021C-01); Key R&D Plan of Shandong Province (2022TZXD0010); The Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences (CAAS-ASTIP-2021-RIP-02); Huailai Grape and Wine Industry Science & Technology Task Force |
Key words: grape; aroma; GC-MS; genetic diversity
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