Exploratory study on vineyards soil mapping by visible/near-infrared spectroscopy of grapevine leaves

Páscoa, Ricardo N.M.J.; Lopo, Miguel; Santos, Cláudia A. Teixeira dos; Graça, António; Lopes, João A.

doi:10.1016/j.compag.2016.05.014

Cited by 28 publications

(15 citation statements)

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“…Despite the usefulness and accuracy of such techniques, they are very laborious and expensive. Spectroscopic techniques have already been successfully applied for taxonomic proposes in several knowledge areas and could represent a reliable alternative for Citrus species discrimination. In this context, this work was developed to evaluate the ability of two infrared techniques – NIR and FTIR‐ATR spectroscopy – to discriminate Citrus species and/or hybrids based on their leaf (fresh and air‐dried) spectra.…”

Section: Discussionmentioning

confidence: 88%

“…Regarding NIR data, the best spectral range for the optimal PLSDA models was between 6234 and 5504 cm −1 . This region corresponds to the absorption bands of ArCH, CH 3 , CH 2 , CH and SH (first overtone region) and could be related to carbohydrates (namely, cellulose and lignin) and phenolic compounds . The percentage of correct species assignments obtained using spectra from the adaxial and abaxial surfaces combined (90.1%) was higher than with data of the adaxial (80.9%) and abaxial (78.5%) surfaces individually.…”

Section: Resultsmentioning

confidence: 99%

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Citrus species and hybrids depicted by near‐ and mid‐infrared spectroscopy

et al. 2018

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Infrared spectroscopy was able to successfully discriminate several Citrus species and/or hybrids. Our results contributed also to enhance insights regarding the studied Citrus species and/or hybrids. Despite the benefit of including additional samples, the results herein obtained clearly pointed infrared spectroscopy as a reliable technique for Citrus species and/or hybrid discrimination. © 2018 Society of Chemical Industry.

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Section: Discussionmentioning

confidence: 88%

Section: Resultsmentioning

confidence: 99%

Citrus species and hybrids depicted by near‐ and mid‐infrared spectroscopy

et al. 2018

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“…Therefore, a Savitzky-Golay filter with a filter size of 15 points, 2nd order polynomial, and first or second derivative was applied followed by standard normal variate (SNV). These methods were thoroughly used in the literature for similar spectral data processing 14 . After this, all the spectra were mean centered for further analysis.…”

Section: Methodsmentioning

confidence: 99%

Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations

Martín-Tornero

Páscoa

Espínosa-Mansilla

et al. 2020

Sci Rep

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open Scientific RepoRtS | (2020) 10:6246 | https://doi.org/10.1038/s41598-020-63407-8 www.nature.com/scientificreports www.nature.com/scientificreports/ by using portable NIR instruments. Determination coefficients around 0.90 between NIR spectra and pressure chamber measurements were obtained 7,8 . Recently, a NIR spectrophotometer mounted on a vehicle and operating without plant contact was used with the same purpose and a correlation coefficient (R 2 ) of 0.88 was obtained for the estimation of the estomatal conductance 9 . Leaf relative water content has also been addressed with R 2 between 0.66 and 0.81 10 . Infrared spectroscopy techniques have also been applied in grapevine leaves for classification purposes. Grapevine varietal and clone identification were successfully tested using the hyperspectral image of a leaf measured in reflectance mode and proper classifications around 95% were obtained in both cases 11,12 . In the same context, Gutierrez et al. (2015) used a portable NIR instrument for in-field grapevine varieties discrimination using the leaves spectra 13 . A total of 20 different grapevine varieties were included in this study and around 85% of correct predictions were obtained. In another work, the accuracy of Vis-NIR spectroscopy to discriminate between vineyard soils using leaves spectra was demonstrated. A comparison with the existing soil map proved that the NIR spectroscopy based estimation was very similar 14 . Moreover, the results obtained in this work confirmed that the same variety planted in different soils will grow differently, or in other words, the grapevine leaves reflect the soil where the vines are located. However, as far as we know, there are no studies regarding the discrimination of leaves of the same grapevine variety collected at different vineyards located in two geographical regions using infrared spectroscopy.The analysis of grapevine leaves should also take into account the vegetative cycle of the plant. The vegetative cycle is a process that takes place in the vineyard each year and comprises all the morphological and biological changes. These changes are called phenological stages and their occurrence and duration is influenced by climatic factors 15 . It is known that leaf metabolites composition vary significantly over the vegetative cycle, especially during the ripening period due to environmental factors or the plant development 16 . These parameters are genetically determined, however their expression throughout the grape ripening process change with agricultural and environmental factors 17 .In this sense, this work intends to investigate the suitability of two infrared techniques, near and mid infrared spectroscopy, for the discrimination of grapevine leaves of the same variety growing in two different geographical locations (different leaves vegetative cycles were also considered by collecting samples over different months during the ripening process), for the discrimination leaves' vegetative cycle and also for the determination of total chlorophylls and ...

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“…Such a discovery has more recently fed intense work on deriving spectral indices from both remote [25] and proximal sensing approaches [26], and testing their degree of correlation with mineral deficiency symptoms and vine yield [27,28]. Likewise, this procedure was also used as a proxy for vineyard soil mapping [29] or canopy growth [30]. Nowadays, one of the most robust and promising tools for making spectral ground-validation is ASD FieldSpec ® .…”

Section: Introductionmentioning

confidence: 99%

Ground Truthing and Physiological Validation of Vis-NIR Spectral Indices for Early Diagnosis of Nitrogen Deficiency in cv. Barbera (Vitis vinifera L.) Grapevines

et al. 2019

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Several narrow or broadband spectral indices can be calculated at varying spatial and spectral resolution, which can then be correlated with the physiological and nutritional status of the leaves. In a three-year trial carried out on fruiting, potted cv. Barbera grapevines subjected to full (N+) or no (N0) nitrogen supply, seasonal evolution of different leaf spectral indices were correlated with non-destructive chlorophyll readings (Minolta SPAD meter), leaf gas exchange, and vine performance. Throughout the entire trial, N starvation resulted in greater-than-proportional limitation of vine yield as compared to vegetative growth (55% compared to 26% less than values measured on N+). Indices calculated within the red-edge spectral domain had highest sensitivity to relative change between N+ and N0, also indicating that the promptest response was recorded at the median shoot zone level. Twelve broadband indices were linearly correlated with leaf blade N concentration at veraison, indicating that N values ≤ 1.8% of dry matter identify a limiting N status. Any of these indices collected at the leaf level can be reliably used as a non-destructive predictor of N availability, albeit due to significant between-year variation in their absolute values at a given N level, readings should always include a well-supplied N treatment.

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Exploratory study on vineyards soil mapping by visible/near-infrared spectroscopy of grapevine leaves

Cited by 28 publications

References 28 publications

Citrus species and hybrids depicted by near‐ and mid‐infrared spectroscopy

Citrus species and hybrids depicted by near‐ and mid‐infrared spectroscopy

Comparative quantification of chlorophyll and polyphenol levels in grapevine leaves sampled from different geographical locations

Ground Truthing and Physiological Validation of Vis-NIR Spectral Indices for Early Diagnosis of Nitrogen Deficiency in cv. Barbera (Vitis vinifera L.) Grapevines

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