Author
Listed:
- 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
Research Centre for Genomics and Bioinformatics (CREA-GB), via San Protaso 302, 29017 Fiorenzuola d’Arda, 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)
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.
Suggested Citation
Giandomenico Corrado & Luigi Lucini & Begoña Miras-Moreno & Leilei Zhang & Biancamaria Senizza & Boris Basile & Youssef Rouphael, 2020.
"Dataset on the Effects of Different Pre-Harvest Factors on the Metabolomics Profile of Lettuce ( Lactuca sativa L.) Leaves,"
Data, MDPI, vol. 5(4), pages 1-6, December.
Handle:
RePEc:gam:jdataj:v:5:y:2020:i:4:p:119-:d:462140
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