Water status and must composition in grapevine cv. Chardonnay with different soils and topography and a mini meta-analysis of the δ 13 C/water potentials correlation - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of the Science of Food and Agriculture Année : 2018

Water status and must composition in grapevine cv. Chardonnay with different soils and topography and a mini meta-analysis of the δ 13 C/water potentials correlation

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Résumé

BACKGROUND The measurement of carbon isotopic discrimination in grape sugars at harvest (δ13C) is an integrated assessment of water status during ripening. It is an efficient alternative to assess variability in the field and discriminate between management zones in precision viticulture, but further work is needed to completely understand the signal. RESULTS This work, spanning over three years, performed in a hillslope toposequence in Burgundy, delineates the relationships between main soil properties (gravel amount, slope, texture) and the grapevine water status assessed by δ13C. The highest δ13C, indicating most severe water deficit, was recorded in gravelly soils on steep slopes. The amount of sugar, malic and tartaric acid was also related to the δ13C. The relationship between δ13C and predawn leaf water potentials (Ψpd) was also investigated, because the absolute values of measured δ13C were lower than the values currently found in literature. CONCLUSIONS A mini-metanalysis was performed, and showed that the slope of the relationships between minimum Ψpd and δ13C was stable across studies (a change of 1‰ in δ13C corresponded to a change of −0.2 MPa in the minimum Ψpd) while the intercept of the comparison δ13C/Ψpd changed, probably because of genetic variations between varieties, or environmental differences.
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hal-01561182 , version 1 (12-07-2017)

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Luca Brillante, Olivier Mathieu, Jean Lévêque, Cornelis van Leeuwen, Benjamin Bois. Water status and must composition in grapevine cv. Chardonnay with different soils and topography and a mini meta-analysis of the δ 13 C/water potentials correlation. Journal of the Science of Food and Agriculture, 2018, 98 (2), pp.691-697. ⟨10.1002/jsfa.8516⟩. ⟨hal-01561182⟩
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