一种豌豆（Pisum sativum L.）的营养和脂肪酸组成、生物活性化合物、体外抗氧化活性和技术功能特性的研究

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-06-02 DOI:10.1016/j.dib.2025.111709

Francesca Vurro, Davide De Angelis, Giacomo Squeo, Stefano Pavan, Antonella Pasqualone, Carmine Summo

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引用次数: 0

摘要

本数据集是指在实验农场“P”种植的81种豌豆（Pisum sativum L.）基因型的集合。在2022-2023年的生长季节，Bari“Aldo Moro”大学的Martucci在意大利瓦伦扎诺（北纬41°01 22.1”东经16°54 21.0”）进行了研究。该数据集报告了通过碾磨每种豌豆基因型种子获得的面粉的营养和脂肪酸组成、生物活性化合物、体外抗氧化活性和技术功能特性。本研究的目的是评估这些豌豆基因型的潜力和变异，为食品公司和研究机构提供有用的信息。除了研究合适的食品应用外，这些数据还可用于遗传研究，以确定与关键营养和技术功能性状相关的特定基因组区域，从而提高对潜在遗传机制的理解。

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Data on the nutritional and fatty acid composition, bioactive compounds, in vitro antioxidant activity and techno-functional properties of a collection of pea (Pisum sativum L.)

This dataset refers to a collection of 81 pea (Pisum sativum L.) genotypes grown at the experimental farm “P. Martucci” of the University of Bari “Aldo Moro” sited in Valenzano, Italy (41°01 22.1’’ N 16°54 21.0’’ E) during the 2022–2023 growing season. The dataset reports the nutritional and fatty acid composition, bioactive compounds, in vitro antioxidant activity and techno-functional properties determined on the flour obtained by milling the seeds of each pea genotype. The aim of this study was to assess the potential and the variations of these pea genotypes and provide useful information to food companies and research institutions. In addition to the study of suitable food applications, these data can be used in genetic research to identify specific genomic regions associated with key nutritional and techno-functional traits, thereby improving understanding of the underlying genetic mechanisms.

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.