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Multivariate analysis as a reliable tool for segregating strawberry cultivars with the best antioxidant capacity

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Authors
Milošević, Tomo
Milošević, Nebojša
Mladenović, Jelena
Article (Published version)
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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 / acidity
Source:
Mitteilungen Klosterneuburg, 2019, 69, 4, 244-257
Publisher:
  • Hohere Bundeslehranstalt und Bundesamt fur Wein- und Obstbau Klosterneuburg

ISSN: 0007-5922

WoS: 000516575100005

Scopus: 2-s2.0-85081002906
[ Google Scholar ]
2
URI
https://refri.institut-cacak.org/handle/123456789/411
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Institut za voćarstvo
TY  - 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 .

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