Variability of health and bioactive compounds in strawberry (Fragaria x ananassaDuch.) cultivars grown under an Indian temperate ecosystem

Abstract

Variability of health and bioactive compounds in strawberry (Fragaria × ananassa Duch.) cultivars grown under an Indian temperate ecosystem. Abstract-Introduction. Strawberry is rich in health as well as bioactive compounds, and benefits resulting from the use of natural products rich in bioactive substances are receiving increased interest from the pharmaceutical, food and cosmetic industries. Materials and methods. Twenty-two cultivars of strawberry (Fragaria × ananassa Duch.) grown under a temperate ecosystem were screened for ascorbic acid, phenolic compounds, flavonoids, anthocyanins and antioxidant activities (DPPH and FRAP assays). The phenolic content was measured by Folin-Ciocalteu reagent using gallic acid as the standard. Antioxidant activity was determined in terms of DPPH and FRAP assays and expressed as ascorbic acid equivalent. Total anthocyanins and total flavonoid content were determined using a colorimetric method. Titratable acidity (citric acid) was determined by the titration method. The average data of two years was analyzed using SAS 9.2 software. Results and discussion. Significant differences in the health and bioactive compounds were detected among the cultivars. The range of ascorbic acid of the tested samples was (51.03 to 89.40) mg•100 g-1 fresh weight. Titratable acidity varied between 0.73% and 1.44%; however, total anthocyanins ranged between (28.24 and 43.32) mg cyanidin-3-glucoside Eq•100 g-1 fresh weight. Total phenols varied from (380.10 to 888.10) mg gallic acid Eq•100 g-1 and total flavonoids from (31.26 to 55.16) mg catechin Eq•100 g-1. The total antioxidant activity ranged between (203.13 and 471.10) mg ascorbic acid Eq•100 g-1 fresh weight for DPPH, and between (326.06 and 701.13) mg ascorbic acid Eq•100 g-1 fresh weight for FRAP. Total phenols, DPPH and FRAP showed close association; however, PCA clearly categorized the selected cultivars into two broad groups. All of the diverse cultivars were clustered into two clusters which could be exploited for future qualitative breeding programs based on average cluster distance and can act as gene sources for making health foods. Conclusion. The importance of our findings would be significant for farmers, breeders, consumers and industries concerning food quality, disease prevention and healthcare. India (Jammu and Kashmir) / Fragaria ananassa / temperate zones / fruits / antioxidants / ascorbic acid / phenolic content / anthocyanins Variabilité de composés bioactifs et de santé chez des cultivars de fraisier (Fragaria × ananassa Duch.) cultivés dans un écosystème tempéré indien. Inde (Jammu et Cachemire) / Fragaria ananassa / zone tempérée / fruits / antioxydant / acide ascorbique / teneur en phenols / anthocyane

General combining ability and heterosis regarding the phytochemical properties in strawberry (Fragaria × ananassa) hybrids

“…In the present work, phenolic content in fruits varied from 2.73 to 3.92 mg gallic acid equivalent/g FW and was similar to that obtained by other authors (Lal et al. , Wang et al. , Żebrowska et al.…”

WildArbutus unedoL. andRubus ulmifoliusSchott fruits are underutilized sources of valuable bioactive compounds with antioxidant capacity

“…A wide variability was found in ascorbic acid, dehydroascorbic acid and total vitamin C, with coefficients of variation up to 46.07%. Wide natural variations in vitamin C and many other nutrients' content can be found in edible fruits, as can be seen from data in the scientific literature as well as food nutrient databases [3,12,27,[32][33][34][35]. Different factors may be involved in vitamin C content in the fruits, particularly in wild species, very influenced by climate conditions, due to its high instability at high temperatures or during light exposure.…”

Genetic Divergence of Horticultural Traits among Olive (Olea europea L.) Genotypes Grown in Temperate Climate

“…The dissimilarity level in terms of genetic distance ranged from 0.317-1.41 indicating a high degree of dissimilarity between genotypes and high genetic distance between genotypes and if chosen for hybridization program, may give high heterotic F1s and broad spectrum of variability in segregating generations. Principal components analysis is a way of identifying patterns in data, which expresses data in such a way as to highlight their similarities and differences (Verma et al, 2014;Lal et al, 2013). Therefore, it was carried out to determine the characters more strongly contributed to the principal components.…”