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Research Article

The influence of mineral content on spectral features of vine leaves

, , , & ORCID Icon
Pages 9161-9179 | Received 13 Mar 2019, Accepted 01 Jun 2020, Published online: 05 Oct 2020
 

ABSTRACT

The reflectance spectra of vegetation carry potentially useful information that can be used to determine chemical composition and discriminate between vegetation classes. If compared with analytical methods such as conventional chemical analysis, reflectance measurement provides non-destructive, economic, near real-time data. This paper reports results from reflectance measurements performed by spectroradiometry on leaves and branches of Vitis vinifera L. cv. Merlot and Cabernet Sauvignon from two vineyards in south Brazil. The vineyards had different geological origins but were subjected to the same management. The objectives were to detect spectral differences between the vineyards, and to correlate these differences to variations in foliar traits like the chemical composition of vine leaves. To that end, seven vine parcels were selected for reflectance measurements and chemical analyses (of eleven elements) of vine leaves, and correlations between reflectance and chemical composition were looked for. An initial investigation by discriminant analysis applied to reflectance data of leaves and branches and to grape varieties as well allowed for good separation between vineyards and varieties (> 90% accuracy). By further investigating the correlations between leaf chemical composition and reflectance along the wavelength domain covered by the measurements, we found several well-determined wavelengths with Pearson correlation coefficients r > 0.7. Concentrations of elements could be modelled up to 94% accuracy. These preliminary results, which have to be validated, suggest that variations in soil properties induce chemical differences in vine leaves that can be detected by reflectance measurements. Applications of this observation include the assessment of the chemical content of vine leaves by spectroradiometry as a fast, low-cost alternative to chemical analytical methods.

Acknowledgements

The authors are thankful to the managers of Boscato Winery for their kind and constant assistance provided during this research.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research was performed by authors JRD, ABT and SBAR in the context of their tenures at respective institutions. Authors PAP and DCA acknowledge fellowships from Brazilian agencies CAPES and CNPq. The authors acknowledge financial support from UFRGS for the field trips.

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