Multivariate analysis as a reliable tool for segregating strawberry cultivars with the best antioxidant capacity
Abstract
During 2018 and 2019 we ad hoc investigated fruit weight, chemical composition and antioxidant activity of five strawberry cultivars (Irma' as a day-neutral cultivar, and 'Clery', 'Roxana' Asia' and an 'Unknown' genotype as short-day strawberries). By ANOVA and multivariate analysis (PCA), differences were observed between cultivars based on the fruit weight, contents of soluble solids, acidity, maturity indexes, main phenolic compounds and antioxidant activity. Results showed that 'Roxana' had the largest fruit at the same growing and environmental conditions. The highest soluble solids content (SSC), acidity and ripening and taste indexes, phenolic compounds had 'Clery' and Asia', respectively. Asia' is the cultivar with the highest antioxidant capacity. The poorest evaluated properties were shown by the 'Unknown' genotype, followed by 'Irma'. Season (year) had more influence on fruit weight, acidity, phenolic compounds and antioxidant activity whereas effect on other properties was ...not significant. Interaction cultivar x year had significant effect on all evaluated properties with exception of fruit weight. Correlation matrix indicated significant positive or negative correlations between most primary and secondary metabolites in fruit of strawberries. Principal component analysis (PCA) can be a very good tool for segregating strawberry genotypes with the best nutritional value and health promoting compounds.
Keywords:
strawberry fruit / soluble solids / principal component analysis / phenolic compounds / antioxidant capacity / aciditySource:
Mitteilungen Klosterneuburg, 2019, 69, 4, 244-257Publisher:
- Hohere Bundeslehranstalt und Bundesamt fur Wein- und Obstbau Klosterneuburg
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Institution/Community
Institut za voćarstvoTY - JOUR AU - Milošević, Tomo AU - Milošević, Nebojša AU - Mladenović, Jelena PY - 2019 UR - https://refri.institut-cacak.org/handle/123456789/411 AB - During 2018 and 2019 we ad hoc investigated fruit weight, chemical composition and antioxidant activity of five strawberry cultivars (Irma' as a day-neutral cultivar, and 'Clery', 'Roxana' Asia' and an 'Unknown' genotype as short-day strawberries). By ANOVA and multivariate analysis (PCA), differences were observed between cultivars based on the fruit weight, contents of soluble solids, acidity, maturity indexes, main phenolic compounds and antioxidant activity. Results showed that 'Roxana' had the largest fruit at the same growing and environmental conditions. The highest soluble solids content (SSC), acidity and ripening and taste indexes, phenolic compounds had 'Clery' and Asia', respectively. Asia' is the cultivar with the highest antioxidant capacity. The poorest evaluated properties were shown by the 'Unknown' genotype, followed by 'Irma'. Season (year) had more influence on fruit weight, acidity, phenolic compounds and antioxidant activity whereas effect on other properties was not significant. Interaction cultivar x year had significant effect on all evaluated properties with exception of fruit weight. Correlation matrix indicated significant positive or negative correlations between most primary and secondary metabolites in fruit of strawberries. Principal component analysis (PCA) can be a very good tool for segregating strawberry genotypes with the best nutritional value and health promoting compounds. PB - Hohere Bundeslehranstalt und Bundesamt fur Wein- und Obstbau Klosterneuburg T2 - Mitteilungen Klosterneuburg T1 - Multivariate analysis as a reliable tool for segregating strawberry cultivars with the best antioxidant capacity EP - 257 IS - 4 SP - 244 VL - 69 UR - conv_1677 ER -
@article{ author = "Milošević, Tomo and Milošević, Nebojša and Mladenović, Jelena", year = "2019", abstract = "During 2018 and 2019 we ad hoc investigated fruit weight, chemical composition and antioxidant activity of five strawberry cultivars (Irma' as a day-neutral cultivar, and 'Clery', 'Roxana' Asia' and an 'Unknown' genotype as short-day strawberries). By ANOVA and multivariate analysis (PCA), differences were observed between cultivars based on the fruit weight, contents of soluble solids, acidity, maturity indexes, main phenolic compounds and antioxidant activity. Results showed that 'Roxana' had the largest fruit at the same growing and environmental conditions. The highest soluble solids content (SSC), acidity and ripening and taste indexes, phenolic compounds had 'Clery' and Asia', respectively. Asia' is the cultivar with the highest antioxidant capacity. The poorest evaluated properties were shown by the 'Unknown' genotype, followed by 'Irma'. Season (year) had more influence on fruit weight, acidity, phenolic compounds and antioxidant activity whereas effect on other properties was not significant. Interaction cultivar x year had significant effect on all evaluated properties with exception of fruit weight. Correlation matrix indicated significant positive or negative correlations between most primary and secondary metabolites in fruit of strawberries. Principal component analysis (PCA) can be a very good tool for segregating strawberry genotypes with the best nutritional value and health promoting compounds.", publisher = "Hohere Bundeslehranstalt und Bundesamt fur Wein- und Obstbau Klosterneuburg", journal = "Mitteilungen Klosterneuburg", title = "Multivariate analysis as a reliable tool for segregating strawberry cultivars with the best antioxidant capacity", pages = "257-244", number = "4", volume = "69", url = "conv_1677" }
Milošević, T., Milošević, N.,& Mladenović, J.. (2019). Multivariate analysis as a reliable tool for segregating strawberry cultivars with the best antioxidant capacity. in Mitteilungen Klosterneuburg Hohere Bundeslehranstalt und Bundesamt fur Wein- und Obstbau Klosterneuburg., 69(4), 244-257. conv_1677
Milošević T, Milošević N, Mladenović J. Multivariate analysis as a reliable tool for segregating strawberry cultivars with the best antioxidant capacity. in Mitteilungen Klosterneuburg. 2019;69(4):244-257. conv_1677 .
Milošević, Tomo, Milošević, Nebojša, Mladenović, Jelena, "Multivariate analysis as a reliable tool for segregating strawberry cultivars with the best antioxidant capacity" in Mitteilungen Klosterneuburg, 69, no. 4 (2019):244-257, conv_1677 .