Dataset on the Effects of Different Pre-Harvest Factors on the Metabolomics Profile of Lettuce ( Lactuca sativa L.) Leaves

Giandomenico Corrado, Luigi Lucini, Begoña Miras-Moreno, Leilei Zhang, Biancamaria Senizza, Boris Basile and Youssef Rouphael
Additional contact information
Giandomenico Corrado: Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy
Luigi Lucini: Department for Sustainable Food Process, Research Centre for Nutrigenomics and Proteomics, University Cattolica del Sacro Cuore, 29122 Piacenza, Italy
Begoña Miras-Moreno: Department for Sustainable Food Process, Research Centre for Nutrigenomics and Proteomics, University Cattolica del Sacro Cuore, 29122 Piacenza, Italy
Leilei Zhang: Department for Sustainable Food Process, Research Centre for Nutrigenomics and Proteomics, University Cattolica del Sacro Cuore, 29122 Piacenza, Italy
Biancamaria Senizza: Department for Sustainable Food Process, Research Centre for Nutrigenomics and Proteomics, University Cattolica del Sacro Cuore, 29122 Piacenza, Italy
Boris Basile: Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy
Youssef Rouphael: Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy

Data, 2020, vol. 5, issue 4, 1-6

Abstract: The study of the relationship between cultivated plants and environmental factors can provide information ranging from a deeper understanding of the plant biological system to the development of more effective management strategies for improving yield, quality, and sustainability of the produce. In this article, we present a comprehensive metabolomics dataset of two phytochemically divergent lettuce ( Lactuca sativa L.) butterhead varieties under different growing conditions. Plants were cultivated in hydroponics in a growth chamber with ambient control. The pre-harvest factors that were independently investigated were light intensity (two levels), the ionic strength of the nutrient solutions (three levels), and the molar ratio of three macroelements (K, Mg, and Ca) in the nutrient solution (three levels). We used an untargeted, mass-spectrometry-based approach to characterize the metabolomics profiles of leaves harvested 19 days after transplant. The data revealed the ample impact on both primary and secondary metabolism and its range of variation. Moreover, our dataset is useful for uncovering the complex effects of the genotype, the environmental factor(s), and their interaction, which may deserve further investigation.

Keywords: nutrient solution composition; nutrient concentration; macrocations; light intensity; leaf; quality (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2306-5729/5/4/119/pdf (application/pdf)
https://www.mdpi.com/2306-5729/5/4/119/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:5:y:2020:i:4:p:119-:d:462140

Access Statistics for this article

Data is currently edited by Ms. Cecilia Yang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().