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Effects of Water Stress, Defoliation and Crop Thinning on Vitis vinifera L. cv. Solaris Must and Wine Part II: 1HNMR Metabolomics
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Orientador(es)
Resumo(s)
Proton nuclear magnetic resonance (1H NMR) metabolomics was employed to investigate
the impact of water deficit, defoliation, and crop thinning on the chemical composition of must and
wines from the cool-climate white grape variety Solaris. The obtained results show that viticultural
practices (defoliation and crop thinning) affected the amino acid and sugar content of Solaris must
and thereby the quality of the final wine—mainly in terms of compounds normally related to fruity
aroma (i.e., isopentanol), non-sugar sweetness (i.e., proline and glycerol), and alcohol content. The
content of tyrosol, a natural phenolic antioxidant with a high bioavailability, was increased in the final
wine by a combination of defoliation and crop thinning. The results of the metabolomics analysis
performed on the must and wine samples from the water stress experiment showed that short-term
water deficit significantly affected the concentration of several flavor-related compounds, including
glutamate, butyrate and propanol, of the organic acids lactate and fumarate, and of the phenolic
compounds caffeic acid and p-coumaric acid. ANOVA simultaneous component analysis showed
that the effect of water deficit accounted for 11% (p < 0.001) and 8% (p < 0.001) of the variability in the
metabolite concentrations in must and wines, respectively, while viticultural practices accounted for
38% (p < 0.001) and 30% (p < 0.001) of the metabolite variability in must and wines, respectively
Descrição
Palavras-chave
Vitis vinifera Solaris grapevine water deficit defoliation crop thinning 1HNMR metabolomics FT-IR WineScan tyrosol
Contexto Educativo
Citação
Aru, V.; Nittnaus, A.P.; Sørensen, K.M.; Toldam-Andersen, T.B.; Engelsen, S.B. Effects of Water Stress, Defoliation and Crop Thinning on Vitis vinifera L. cv. Solaris Must and Wine Part II: 1HNMR Metabolomics. Metabolites 2022, 12, 672
Editora
MDPI