Changes in plant defense chemistry (pyrrolizidine alkaloids) revealed through high-resolution spectroscopy

Carvalho, Sabrina; Máčel, Mirka; Schlerf, Martin; Moghaddam, Fatemeh Eghbali; Mulder, Patrick P.J.; Skidmore, Andrew K.; Putten, Wim H. van der

doi:10.1016/j.isprsjprs.2013.03.004

Cited by 17 publications

(27 citation statements)

References 55 publications

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“…The osmotic adjustment necessary under salinity and other stress can lead to an accumulation of compatible solutes and ion in the vacuole (Guidi et al, ; Romero‐Aranda, Soria, & Cuartero, ), and multiple studies (Asner & Martin, ; Cotrozzi et al, ; Ramirez et al, ; Rubert‐Nason et al, ; Shetty & Gislum, ) have reported that wavelengths important for predicting non‐structural carbohydrates and other foliar osmolyte concentrations using spectroscopy are within the 1,900–2,250 nm range. Plant secondary metabolites also play critical roles in plant functioning and greatly contribute to phytochemical diversity, and reflectance spectroscopy has also been used to estimate concentrations of the major groups of secondary compounds including alkaloids, glucosinolates, terpenoids, phenylpropanoids and related phenolic compounds (Carvalho et al, ; Couture et al, , ; Ebbers, Wallis, Dury, Floyd, & Foley, ; Font, Río‐Celstino, Rosa, Aires, & Haro‐Balión, ; Kokaly & Skidmore, ; Rubert‐Nason et al, ; Schulz, Engelhardt, Wegent, Drews, & Lapczynski, ), highlighting again specific absorption features within the 1,900–2,250 nm range. This spectral region also contains the main protein absorption features (Curran, ), suggesting that it is important in the detection of the L × F × S interaction.…”

Section: Discussionmentioning

confidence: 99%

Hyperspectral assessment of plant responses to multi‐stress environments: Prospects for managing protected agrosystems

Cotrozzi

Couture

2019

Plants People Planet

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Advancements in our ability to rapidly detect plant responses to stress are necessary to improve crop management practices and meet the global challenge of food security. Using optical approaches to detect plant stress before symptoms become apparent has great potential, but these approaches lack testing in multiple-stress environments and fail to fully exploit the data collected. Using hyperspectral data from lettuce, we show that optical measurements can provide growers with important stress-related information to inform crop management practices. We suggest that integrating this technology into protected agrosystems, such as greenhouses, could greatly improve crop quality and yield. Summary• Tools to detect and predict stress pre-visually are essential to optimally manage agrosystems. Here, we investigated the capability of reflectance spectroscopy to characterize responses of asymptomatic crop leaves under multi-stress conditions.• Full range (350-2,500 nm) reflectance measurements and traditional plant stress responses were collected on lettuce leaves under the combination of different supplemental light types and intensities, fertilization and salinity. Partial leastsquares discriminate analysis and regression modeling and spectral indices were employed to characterize plant responses to multiple stress conditions, both alone and in combination.• Spectral profiles (400-800 nm + 1,900-2,200 nm) of individuals grown under variable environments were statistically different (p < .05) for multiple combinations.Partial least-squares discriminate analysis accurately classified the different single stressors well (accuracy: 0.76-0.91), but generated moderate accuracies (0.63-0.65) for two-stress combinations, and low accuracy (0.33) for higher order stress combinations. Osmotic potential, and chlorophyll and phenol concentrations were well predicted by spectral data (validation R 2 : 0.70-0.84). Higher lettuce yield and quality was found under sodium light at high intensity (850 µmol m −2 s −1 photosynthetic active radiation), with high fertilization (150 ppm N) and no salinity. | 245

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Section: Discussionmentioning

confidence: 99%

Hyperspectral assessment of plant responses to multi‐stress environments: Prospects for managing protected agrosystems

Cotrozzi

Couture

2019

Plants People Planet

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“…Reflectance spectroscopy has been used to estimate concentrations of the major groups of secondary compounds, including alkaloids, glucosinolates, terpenoids and phenylpropanoids and related phenolic compounds (Schulz et al 1999;Ebbers et al 2002;Font et al 2005;Carvalho et al 2013;Couture, Serbin & Townsend 2013;Rubert-Nason et al 2013). Of the major groups of secondary metabolites, phenolic compounds are a group of secondary metabolites universally distributed in the plant kingdom and play influential roles in plant physiology and ecosystem functioning.…”

Section: Introductionmentioning

confidence: 99%

Spectroscopic determination of ecologically relevant plant secondary metabolites

et al. 2016

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Summary Spectroscopy has recently emerged as an effective method to accurately characterize leaf biochemistry in living tissue through the application of chemometric approaches to foliar optical data, but this approach has not been widely used for plant secondary metabolites. Here, we examine the ability of reflectance spectroscopy to quantify specific phenolic compounds in trembling aspen (Populus tremuloides) and paper birch (Betula papyrifera) that play influential roles in ecosystem functioning related to trophic‐level interactions and nutrient cycling. Spectral measurements on live aspen and birch leaves were collected, after which concentrations of condensed tannins (aspen and birch) and salicinoids (aspen only) were determined using standard analytical approaches in the laboratory. Predictive models were then constructed using jackknifed, partial least squares regression (PLSR). Model performance was evaluated using coefficient of determination (R2), root‐mean‐square error (RMSE) and the per cent RMSE of the data range (%RMSE). Condensed tannins of aspen and birch were well predicted from both combined (R2 = 0·86, RMSE = 2·4, %RMSE = 7%)‐ and individual‐species models (aspen: R2 = 0·86, RMSE = 2·4, %RMSE = 6%; birch: R2 = 0·81, RMSE = 1·9, %RMSE = 10%). Aspen total salicinoids were better predicted than individual salicinoids (total: R2 = 0·76, RMSE = 2·4, %RMSE = 8%; salicortin: R2 = 0·57, RMSE = 1·9, %RMSE = 11%; tremulacin: R2 = 0·72, RMSE = 1·1, %RMSE = 11%), and spectra collected from dry leaves produced better models for both aspen tannins (R2 = 0·92, RMSE = 1·7, %RMSE = 5%) and salicinoids (R2 = 0·84, RMSE = 1·4, %RMSE = 5%) compared with spectra from fresh leaves. The decline in prediction performance from total to individual salicinoids and from dry to fresh measurements was marginal, however, given the increase in detailed salicinoid information acquired and the time saved by avoiding drying and grinding leaf samples. Reflectance spectroscopy can successfully characterize specific secondary metabolites in living plant tissue and provide detailed information on individual compounds within a constituent group. The ability to simultaneously measure multiple plant traits is a powerful attribute of reflectance spectroscopy because of its potential for in situ–in vivo field deployment using portable spectrometers. The suite of traits currently estimable, however, needs to expand to include specific secondary metabolites that play influential roles in ecosystem functioning if we are to advance the integration of chemical, landscape and ecosystem ecology.

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“…Commonly used techniques for determination of PA in plant material are chromatographic methods: thin‐layer chromatography (TLC), liquid chromatography–mass spectrometry (LC‐MS) and gas chromatography–mass spectrometry (GC‐MS). Also, hyperspectral reflectance (visible–near‐infrared (VIS‐NIR)) has been reported to be able to detect the content of PA in plants, and real‐time polymerase chain reaction (PCR) has been used to detect S. vulgaris in rocket salad . Therefore, a non‐destructive technique could significantly contribute to food industry and plant ecology.…”

Section: Introductionmentioning

confidence: 99%

FTIR spectroscopy as a tool to detect contamination of rocket (Eruca sativa and Diplotaxis tenuifolia) salad with common groundsel (Senecio vulgaris) leaves

2016

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Changes in plant defense chemistry (pyrrolizidine alkaloids) revealed through high-resolution spectroscopy

Cited by 17 publications

References 55 publications

Hyperspectral assessment of plant responses to multi‐stress environments: Prospects for managing protected agrosystems

Hyperspectral assessment of plant responses to multi‐stress environments: Prospects for managing protected agrosystems

Spectroscopic determination of ecologically relevant plant secondary metabolites

FTIR spectroscopy as a tool to detect contamination of rocket (Eruca sativa and Diplotaxis tenuifolia) salad with common groundsel (Senecio vulgaris) leaves

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