Conservación y uso de variedades tradicionales hortícolas

Las variedades tradicionales suponen un material de partida idóneo para el desarrollo de la agricultura ecológica, dadas su adaptación a las condiciones agroclimáticas locales y sus excelentes características de calidad que quedan potenciadas con este sistema de cultivo. Lamentablemente, este tipo de variedades llevan padeciendo durante décadas un constante proceso de desaparición. Surge por tanto la necesidad de preservar este material a través de su colecta y conservación en bancos de germoplasma. No obstante, la conservación ex situ debe complementarse con una conservación in situ mediante la potenciación del cultivo de estas variedades en campo. Estos son los objetivos que han guiado desde su constitución al Centro para la Conservación y Mejora de la Agrodiversidad Valenciana. El programa de recuperación de variedades tradicionales de tomate desarrollado por este centro supone una experiencia piloto que puede extrapolarse a otras hortalizas de interés. El material vegetal recuperado de esta forma puede resultar una valiosa herramienta para los agricultores ecológicos

High throughput FT-MIR analysis of sugars and acids in watermelon

Indirect measurements of taste-related compounds are required when a high number of samples has to be analyzed in a short period of time, with a minimum cost. For this purpose, FT-MIR partial least square (PLS) regression models for the prediction of total soluble solids, sugars and organic acids have been developed using three sample sets including breeding lines and commercial varieties of watermelon. Specific models with excellent performance were obtained only for sugars. Nevertheless, a general model supposed a compromise between the best and worse models and offered %RMSEP values of 11.3%, 11.1% and 11.7% for fructose, glucose and sucrose respectively. The model was applied to the selection of high content samples (selection pressure 20% and 30%) obtaining good sensitivity levels and mean percentile of selected samples close to the expected values (100% sensitivity). The robustness of FT-MIR models was assessed with predictions of external assays, obtaining reasonable performances

FT-MIR determination of taste-related compounds in tomato: a high throughput phenotyping analysis for selection programs

"This is the peer reviewed version of the following article: Ibáñez, Ginés, Mercedes Valcárcel, Jaime Cebolla-Cornejo, and Salvador Roselló. 2019. FT-MIR Determination of Taste-related Compounds in Tomato: A High Throughput Phenotyping Analysis for Selection Programs. Journal of the Science of Food and Agriculture 99 (11). Wiley: 5140 48. doi:10.1002/jsfa.9760, which has been published in final form at https://doi.org/10.1002/jsfa.9760. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."[EN] BACKGROUND: Tomato taste is defined by the accumulation of sugars and organic acids. Individual analyses of these compounds using high-performance liquid chromatography (HPLC) or capillary zone electrophoresis (CZE) are expensive, time-consuming and are not feasible for large number of samples, justifying the interest of spectroscopic methods such as Fourier-transform mid-infrared (FT-MIR). This work analyzed the performance of FT-MIR models to determine the accumulation of sugars and acids, considering the efficiency of models obtained with different ranges of variation. RESULTS: FT-MIR spectra (five-bounce attenuated total reflectance, ATR) were used to obtain partial least squares (PLS) models to predict sugar and acid contents in specific sample sets representing different varietal types. A general model was also developed, obtaining R-2 values for prediction higher than 0.84 for main components (soluble solids content, fructose, glucose, and citric acid). Root mean squared error of prediction (RMSEP) for these components were lower than 15% of the mean contents and lower than 6% of the highest contents. Even more, the model sensitivity and specificity for those variables with a 10% selection pressure was 100%. That means that all samples with the 10% highest content were correctly identified. The model was applied to an external assay and it exhibited, for main components, high sensitivities (> 70%) and specificities (> 96%). RMSEP values for main compounds were lower than 21% and 13% of the mean and maximum content respectively. CONCLUSION: The models obtained confirm the effectiveness of FT-MIR models to select samples with high contents of taste-related compounds, even when the calibration has not been performed within the same assay. (c) 2019 Society of Chemical IndustryThis research was performed despite the lack of direct public funding for its development and thanks to the enthusiasm of the authors. The authors thank Dr Lahoz and Dr Campillo for providing samples of processing tomato. G. Ibanez thanks Universitat Jaume I for funding his pre-doctoral grant (PREDOC/2015/45).Ibañez, G.; Valcárcel-Germes, M.; Cebolla Cornejo, J.; Rosello Ripolles, S. (2019). FT-MIR determination of taste-related compounds in tomato: a high throughput phenotyping analysis for selection programs. Journal of the Science of Food and Agriculture. 99(11):5140-5148. https://doi.org/10.1002/jsfa.9760514051489911Davies, J. N., Hobson, G. E., & McGlasson, W. B. (1981). The constituents of tomato fruit — the influence of environment, nutrition, and genotype. C R C Critical Reviews in Food Science and Nutrition, 15(3), 205-280. doi:10.1080/10408398109527317Díaz de León-Sánchez, F., Pelayo-Zaldívar, C., Rivera-Cabrera, F., Ponce-Valadez, M., Ávila-Alejandre, X., Fernández, F. J., … Pérez-Flores, L. J. (2009). Effect of refrigerated storage on aroma and alcohol dehydrogenase activity in tomato fruit. Postharvest Biology and Technology, 54(2), 93-100. doi:10.1016/j.postharvbio.2009.07.003Cebolla-Cornejo, J., Valcárcel, M., Herrero-Martínez, J. M., Roselló, S., & Nuez, F. (2012). High efficiency joint CZE determination of sugars and acids in vegetables and fruits. ELECTROPHORESIS, 33(15), 2416-2423. doi:10.1002/elps.201100640Nicolaï, B. M., Beullens, K., Bobelyn, E., Peirs, A., Saeys, W., Theron, K. I., & Lammertyn, J. (2007). Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review. Postharvest Biology and Technology, 46(2), 99-118. doi:10.1016/j.postharvbio.2007.06.024Lahoz, I., Leiva-Brondo, M., Martí, R., Macua, J. I., Campillo, C., Roselló, S., & Cebolla-Cornejo, J. (2016). Influence of high lycopene varieties and organic farming on the production and quality of processing tomato. Scientia Horticulturae, 204, 128-137. doi:10.1016/j.scienta.2016.03.042Martí, R., Valcárcel, M., Leiva-Brondo, M., Lahoz, I., Campillo, C., Roselló, S., & Cebolla-Cornejo, J. (2018). Influence of controlled deficit irrigation on tomato functional value. Food Chemistry, 252, 250-257. doi:10.1016/j.foodchem.2018.01.098Fearn, T. (2002). Assessing Calibrations: SEP, RPD, RER and R2. NIR news, 13(6), 12-13. doi:10.1255/nirn.689Vermeir, S., Beullens, K., Mészáros, P., Polshin, E., Nicolaï, B. M., & Lammertyn, J. (2009). Sequential injection ATR-FTIR spectroscopy for taste analysis in tomato. Sensors and Actuators B: Chemical, 137(2), 715-721. doi:10.1016/j.snb.2009.01.056Lin, T., Zhu, G., Zhang, J., Xu, X., Yu, Q., Zheng, Z., … Huang, S. (2014). Genomic analyses provide insights into the history of tomato breeding. Nature Genetics, 46(11), 1220-1226. doi:10.1038/ng.3117Ursem, R., Tikunov, Y., Bovy, A., van Berloo, R., & van Eeuwijk, F. (2008). A correlation network approach to metabolic data analysis for tomato fruits. Euphytica, 161(1-2), 181-193. doi:10.1007/s10681-008-9672-yBeullens, K., Kirsanov, D., Irudayaraj, J., Rudnitskaya, A., Legin, A., Nicolaï, B. M., & Lammertyn, J. (2006). The electronic tongue and ATR–FTIR for rapid detection of sugars and acids in tomatoes. Sensors and Actuators B: Chemical, 116(1-2), 107-115. doi:10.1016/j.snb.2005.11.084Rudnitskaya, A., Kirsanov, D., Legin, A., Beullens, K., Lammertyn, J., Nicolaï, B. M., & Irudayaraj, J. (2006). Analysis of apples varieties – comparison of electronic tongue with different analytical techniques. Sensors and Actuators B: Chemical, 116(1-2), 23-28. doi:10.1016/j.snb.2005.11.069GALIANA-BALAGUER, L., IBÁÑEZ, G., CEBOLLA-CORNEJO, J., & ROSELLÓ, S. (2018). Evaluation of germplasm in Solanum section Lycopersicon for tomato taste improvement. TURKISH JOURNAL OF AGRICULTURE AND FORESTRY, 42(5), 309-321. doi:10.3906/tar-1712-6

Dissecting a vegetable landrace: Components of variation in Spanish ?Moruno? tomatoes as a case studio

The variability of landraces is dissected and related to farmers' practices through surveys. Spanish 'Moruno' tomatoes, recognised for their excellent flavour, were selected as a case study. For this purpose, 30 populations were characterised in a four-year program. Higher intra-population than inter-population variability was found. Variability is generally reduced in the traits used by farmers as selection criteria. Farmers rarely used flavour as a selection criterion, but it is one of the main characteristics used by them to define the landrace. Seed exchange and growing different landraces simultaneously are commonplace, and outcrossing might occur, thus justifying in part the seed degeneration problems experienced by some farmers. At the same time, farmers select seeds for the next year on a per-fruit basis rather than a per-plant basis, justifying the maintenance of a high level of variability. In such cases, high pressure would be applied to key morphological traits but not to flavour. Accordingly, the sugars, acids and volatiles profiles related to flavour in the landraces' populations are highly variable, though the environment also exercises a high effect. It is necessary to make population selections to offer farmers materials combining the best organoleptic perception and a high stable yield. This would reduce the gap between the price premium received by farmers and the expected fair price. It would also be necessary to develop consumer information campaigns to exploit their willingness to pay for the extra value offered by landraces. Only then long-term on-farm conservation would be economically feasible. Although achieving a trade-off between yield and flavour is difficult, it is possible to identify populations that reach a compromise between them. In germplasm banks, it is impossible to evaluate all the materials in the same year. The use of hybrid controls, with no genetic variation, is helpful in considering the environmental effects. Still, genotype x environment interactions are evident, and using selected control populations of landraces is necessary to evaluate possible performances closer to the type of materials being evaluated

Fast simultaneous determination of prominent polyphenols in vegetables and fruits by reversed phase liquid chromatography using a fused-core column

A reversed-phase high-performance liquid chromatography method with photodiode array detection has been developed enabling the joint determination of 17 prominent flavonoids and phenolic acids in vegetables and fruits. A multi-segmented gradient program using a fused-core column for the separation of several phenolic classes (phenolic acids and flavonoids) has been optimised. The influence of extraction conditions (sample freeze-drying, ultrasound extraction, solvent composition and extraction time) has been also optimised using response surface methodology with tomato samples as a model. Complete recoveries (76–108%) were obtained for the phenolic compounds present in tomato. The developed method provided satisfactory repeatability in terms of peak area (RSD < 2.9%) and retention time (RSD < 0.2%) both for standards and real samples. Detection limits ranged between 3 and 44 μg kg−1 for the detected polyphenols. This method is recommended for routine analysis of large number of samples typical of production quality systems or plant breeding programs

Non-destructive determination of taste-related compounds in tomato using NIR spectra

[EN] Near infrared (NIR) diffuse reflectance was used to predict the contents of taste-related compounds of tomato. Models were obtained for several varietal types including processing tomato, cherry and cocktail tomato, mid-sized tomato and tomato landraces, with a wide range of varieties. Good performance was obtained for the prediction of soluble solids, sugars and acids, considering a non-destructive methodology applied to fruits with different internal structure. Specific models averaged RMSEP (%mean) values lower than 6.1% for SSC, 13.3% for fructose, 14.1% for glucose, 12.7% for citric acid, 13.8% for malic acid and 21.9% for glutamic acid. The performance was dependent on varietal type. General models with a higher number of samples and variation did not improve the performance of specific models. The models obtained, either specific or general, couldn't be extrapolated to external assays and an internal calibration would be required for each assay in order to provide a reliable performance.This research was performed despite the lack of direct public funding for its development and thanks to the enthusiasm of the authors. The authors thank Dr. Lahoz and Dr. Campillo for providing processing tomato samples and Dr. Moreno for providing samples from tomato landraces. G. Ibanez thanks Universitat Jaume I for funding his pre-doctoral grant (PREDOC/2015/45).Ibáñez, G.; Cebolla Cornejo, J.; Martí-Renau, R.; Roselló, S.; Valcárcel-Germes, M. (2019). Non-destructive determination of taste-related compounds in tomato using NIR spectra. Journal of Food Engineering. 263:237-242. https://doi.org/10.1016/j.jfoodeng.2019.07.004S23724226

Optimization of electronic nose drift correction applied to tomato volatile profiling

This is a pre-print of an article published in Analytical and Bioanalytical Chemistry. The final authenticated version is available online at: https://doi.org/10.1007/s00216-021-03340-5E-noses can be routinely used to evaluate the volatile profile of tomato samples once the sensor drift and standardization issues are adequately solved. Short-term drift can be corrected using a strategy based on a multiplicative drift correction procedure coupled with a PLS adaptation of the component correction. It must be performed specifically for each sequence, using all sequence signals data. With this procedure, a drastic reduction of sensor signal %RSD can be obtained, ranging between 91.5 and 99.7% for long sequences and between 75.7 and 98.8% for short sequences. On the other hand, long-term drift can be fixed up using a synthetic reference standard mix (with a representation of main aroma volatiles of the species) to be included in each sequence that would enable sequence standardization. With this integral strategy, a high number of samples can be analyzed in different sequences, with a 94.4% success in the aggrupation of the same materials in PLS-DA two-dimensional graphical representations. Using this graphical interface, e-noses can be used to developed expandable maps of volatile profile similitudes, which will be useful to select the materials that most resemble breeding objectives or to analyze which preharvest and postharvest procedures have a lower impact on the volatile profile, avoiding the costs and sample limitations of gas chromatography

High throughput FT-MIR indirect analysis of sugars and acids in watermelon

[EN] Indirect measurements of taste-related compounds are required when a high number of samples has to be analyzed in a short period of time, with a minimum cost. For this purpose, FT-MIR partial least square (PLS) regression models for the prediction of total soluble solids, sugars and organic acids have been developed using three sample sets including breeding lines and commercial varieties of watermelon. Specific models with excellent performance were obtained only for sugars. Nevertheless, a general model supposed a compromise between the best and worse models and offered %RMSEP values of 11.3%, 11.1% and 11.7% for fructose, glucose and sucrose respectively. The model was applied to the selection of high content samples (selection pressure 20% and 30%) obtaining good sensitivity levels and mean percentile of selected samples close to the expected values (100% sensitivity). The robustness of FT-MIR models was assessed with predictions of external assays, obtaining reasonable performances.Martí-Renau, R.; Sánchez, G.; Rosello Ripolles, S.; Valcárcel-Germes, M.; Cebolla Cornejo, J. (2019). High throughput FT-MIR indirect analysis of sugars and acids in watermelon. Food Chemistry. 300:1-9. https://doi.org/10.1016/j.foodchem.2019.125227S1930

Polyphenol and L-ascorbic acid content in tomato as influenced by high lycopene genotypes and organic farming at different environments

[EN] The accumulation of polyphenols and L-ascorbic acid was evaluated under conventional (integrated pest management, IPM) and organic farming, as means to increase the accumulation of chemoprotective compounds. The effect of genotype was considerably higher than the growing system, in fact it is determining. 'Kalvert', a high-lycopene cultivar, outstood for the accumulation of most polyphenols, though low-carotenoid cultivars with high accumulation were also detected. Organic farming significantly increased the levels of caffeic acid by 20%, but reduced those of ferulic acid and naringenin by 13% and 15% respectively. A strong interaction with the environment was detected: in Navarra the differences were limited, while in Extremadura lower contents of ferulic acid and higher contents of chlorogenic acid and rutin were found in organic farming for certain cultivars. The effect of organic farming on L-ascorbic acid was dependent on cultivar and environment and it only led to an increase in Extremadura by 58%. (C) 2017 Elsevier Ltd. All rights reserved.This research was partly funded by INIA (RTA2011-00062, Spain) and FEDER (EU).Martí-Renau, R.; Leiva-Brondo, M.; Lahoz, I.; Campillo, C.; Cebolla Cornejo, J.; Roselló, S. (2018). Polyphenol and L-ascorbic acid content in tomato as influenced by high lycopene genotypes and organic farming at different environments. Food Chemistry. 239:148-156. https://doi.org/10.1016/j.foodchem.2017.06.102S14815623

Simultaneous determination of main phenolic acids and flavonoids in tomato by micellar electrokinetic capillary electrophoresis

[EN] A methodology for the determination of tomato phenolic acids and flavonoids has been developed combining MEKC and DAD detection. The influence on polyphenol separation of pH and background electrolyte, BGE (borax, acetonitrile, methanol and SDS concentrations), was studied and optimized using response surface methodology and weighted desirability function. Separation of polyphenols was achieved within 20 min at 15 degrees C using 11.3 mM borax and 11.2 mM SDS adjusted to pH 8.5 as BGE. Validation was performed using standards and tomato extracts. Recoveries ranged from 77 to 106%. Acceptable repeatabilities were obtained for peak area (% RSD <3.1% and <3.7%) and migration times (% RSD <0.2% and <1.4%) for intra-and inter-day respectively. Detection limits ranged between 0.8 and 3.8 mg kg (1). Five and seven of these polyphenols were determined in samples of tomato and related species. This methodology will be valuable tool in breeding programs, analyzing a large number of samples. (C) 2016 Elsevier Ltd. All rights reserved.This study was partially supported by Project RTA2011-00062C04 funded by Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria. J.M. H-M expreses his thanks to the project CTQ2014-52765-R (MINECO of Spain and FEDER).Martí-Renau, R.; Valcárcel Germes, M.; Herrero-Martínez, JM.; Cebolla Cornejo, J.; Rosello Ripolles, S. (2017). Simultaneous determination of main phenolic acids and flavonoids in tomato by micellar electrokinetic capillary electrophoresis. Food Chemistry. 221:439-446. https://doi.org/10.1016/j.foodchem.2016.10.105S43944622