2020
DOI: 10.1016/j.foodchem.2019.125713
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The bioactive profile of lettuce produced in a closed soilless system as configured by combinatorial effects of genotype and macrocation supply composition

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Cited by 38 publications
(47 citation statements)
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“…In addition, leaf pigmentation significantly correlates to the constitution and concentration of phenolic compounds belonging mainly in the subgroups of phenolic acids, flavonoids, and anthocyanins [14]. Chicoric, caffeic, and chlorogenic acids and their derivatives are the most abundant phenolic acids present in lettuce, whereas the most outstanding flavonoids include anthocyanins, quercetin, kaempferol, and flavone luteolin [35,[45][46][47]. Several authors reported a higher total phenolic content in red butterhead, red leaf and red romaine lettuces compared to their green counterparts [16,35,[48][49][50][51].…”
Section: Lettucementioning
confidence: 99%
“…In addition, leaf pigmentation significantly correlates to the constitution and concentration of phenolic compounds belonging mainly in the subgroups of phenolic acids, flavonoids, and anthocyanins [14]. Chicoric, caffeic, and chlorogenic acids and their derivatives are the most abundant phenolic acids present in lettuce, whereas the most outstanding flavonoids include anthocyanins, quercetin, kaempferol, and flavone luteolin [35,[45][46][47]. Several authors reported a higher total phenolic content in red butterhead, red leaf and red romaine lettuces compared to their green counterparts [16,35,[48][49][50][51].…”
Section: Lettucementioning
confidence: 99%
“…All data were subjected to two-way analysis of variance, and mean values were separated according to Duncan test with p < 0.05. Principal component analysis (PCA) was performed on the whole morphological and physiological data set, and the eigen values, total variance of the first three principal components (PCs) as well as the loading scores and plots were determined [58][59][60]. A heat map summarizing the agronomical, physiological, and qualitative responses of lettuce to plant biostimulant applications and N fertilization levels was also generated using the https://biit.cs.ut.ee/clustvis/ online program package with Euclidean distance as the similarity measure and hierarchical clustering with complete linkage [6].…”
Section: Data Elaboration Statistical Analysis Principal Component mentioning
confidence: 99%
“…Principal component analysis (PCA) is used to reduce multivariate data complexity as a method of identifying patterns and expressing data in ways that highlight similarities and differences, and further identify groups of samples according to their maturation stage [31,32]. The first four principal components (PCs) were associated with Eigen values higher than 1 and explained 97.2% of the cumulative variance, with PC1 accounting for 43.8%, PC2 for 22.9%, PC3 for 19.4% and finally PC4 for 11.1%.…”
Section: Principal Component Analysis (Pca)mentioning
confidence: 99%