Functional and Nutraceutical Compounds of Tomatoes as Affected by Agronomic Practices, Postharvest Management, and Processing Methods: A Mini Review

Lima, Giuseppina Pace Pereira; Gómez, Héctor Alonzo Gómez; Seabra, Santino; Maraschin, Marcelo; Tecchio, Marco António; Borges, Cristine Vanz

doi:10.3389/fnut.2022.868492

Cited by 14 publications

(8 citation statements)

References 63 publications

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“…High humidity levels might reduce transpiration rates, leading to an accumulation of sugars in the fruit, thereby elevating the Brix values [ 55 ], however, no correlation was found between Brix and RH_90+. It is well-established that external factors can modulate the synthesis of pigments and antioxidants in tomatoes [ 56 , 57 ]. By contrast, there was no significant correlation revealed between climatic factors and Brix or lycopene content.…”

Section: Discussionmentioning

confidence: 99%

A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data

M’hamdi,

Takács,

Palotás

et al. 2024

Plants

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The tomato as a raw material for processing is globally important and is pivotal in dietary and agronomic research due to its nutritional, economic, and health significance. This study explored the potential of machine learning (ML) for predicting tomato quality, utilizing data from 48 cultivars and 28 locations in Hungary over 5 seasons. It focused on °Brix, lycopene content, and colour (a/b ratio) using extreme gradient boosting (XGBoost) and artificial neural network (ANN) models. The results revealed that XGBoost consistently outperformed ANN, achieving high accuracy in predicting °Brix (R² = 0.98, RMSE = 0.07) and lycopene content (R² = 0.87, RMSE = 0.61), and excelling in colour prediction (a/b ratio) with a R² of 0.93 and RMSE of 0.03. ANN lagged behind particularly in colour prediction, showing a negative R² value of −0.35. Shapley additive explanation’s (SHAP) summary plot analysis indicated that both models are effective in predicting °Brix and lycopene content in tomatoes, highlighting different aspects of the data. SHAP analysis highlighted the models’ efficiency (especially in °Brix and lycopene predictions) and underscored the significant influence of cultivar choice and environmental factors like climate and soil. These findings emphasize the importance of selecting and fine-tuning the appropriate ML model for enhancing precision agriculture, underlining XGBoost’s superiority in handling complex agronomic data for quality assessment.

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Section: Discussionmentioning

confidence: 99%

A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data

M’hamdi,

Takács,

Palotás

et al. 2024

Plants

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“…The excessive use of fungicides and bactericides has caused soil pollution, a reduction of the microbial population in the soil, and the occurrence of resistant pathogens [ 59 ]. Also, the continuous application of agrochemicals negatively affects the nutritional content and bioactive compounds of tomatoes, as well as the structure and productivity of the soil [ 60 ].…”

Section: Tomato Diseases and Pathogensmentioning

confidence: 99%

Bacillus Species: Excellent Biocontrol Agents against Tomato Diseases

Karačić,

Miljaković,

Marinković

et al. 2024

Microorganisms

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Tomatoes encounter many pathogens, such as fungi and bacteria, which reduce the yield and quality of plants and lead to large losses in production. The application of plant protection products (PPPs) is still an important and most effective measure to control plant diseases. However, the use of chemicals in agriculture contributes to environmental pollution and biodiversity loss, and it can also threaten non-target living organisms. Biological control is a widely accessible, environmentally safe, and cost-efficient alternative for the prevention and suppression of plant diseases. Bacillus species with antimicrobial and plant growth-promoting effects are most frequently used as biocontrol agents to increase the resilience of agricultural production against biotic stresses. The present review discusses the antagonistic mechanisms and the biocontrol potential of Bacillus spp. against tomato diseases caused by different pathogens. The main mechanisms of Bacillus spp. include the production of antimicrobial compounds (antibiotics, extracellular enzymes, siderophores, and volatile compounds), competition for nutrients and space, and induced systemic resistance (ISR). Although Bacillus-based PPPs have been developed and commercialised worldwide for various crops and pathogens, the efficiency issues are still subject to debate. Additionally, a combined strategy for controlling tomato diseases based on Bacillus spp. and other available methods (conventional or natural-based) is a promising research field.

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“…With the improvement of people’s living standards and the emphasis on health, there is a rapidly increasing demand for quality fruit and vegetables [ 28 ]. However, the difference in tomato nutrients and flavors can be attributed to various factors, such as cultivars [ 29 ], environmental factors [ 30 ], agronomic practices [ 31 ], and metabolic regulation [ 32 ]. Thus, how to efficiently improve the quality of tomato fruit has been a key area of research.…”

Section: Introductionmentioning

confidence: 99%

Application of Exogenous Melatonin Improves Tomato Fruit Quality by Promoting the Accumulation of Primary and Secondary Metabolites

Dou

Wang

Tang

et al. 2022

Foods

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Melatonin plays key roles in improving fruit quality and yield by regulating various aspects of plant growth. However, the effects of how melatonin regulates primary and secondary metabolites during fruit growth and development are poorly understood. In this study, the surfaces of tomato fruit were sprayed with different concentrations of melatonin (0, 50, and 100 µmol·L−1) on the 20th day after anthesis; we used high-performance liquid chromatography (HPLC) and liquid chromatography/mass spectrometry (LC/MS) to determine the changes in primary and secondary metabolite contents during fruit development and measured the activity of sucrose metabolizing enzymes during fruit development. Our results showed that 100 µmol·L−1 melatonin significantly promoted the accumulation of soluble sugar in tomato fruit by increasing the activities of sucrose synthase (SS), sucrose phosphate synthase (SPS), and acid convertase (AI). The application of 100 µmol·L−1 melatonin also increased the contents of ten amino acids in tomato fruit as well as decreased the contents of organic acids. In addition, 100 µmol·L−1 melatonin application also increased the accumulation of some secondary metabolites, such as six phenolic acids, three flavonoids, and volatile substances (including alcohols, aldehydes, and ketones). In conclusion, melatonin application improves the internal nutritional and flavor quality of tomato fruit by regulating the accumulation of primary and secondary metabolites during tomato fruit ripening. In the future, we need to further understand the molecular mechanism of melatonin in tomato fruit to lay a solid foundation for quality improvement breeding.

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Functional and Nutraceutical Compounds of Tomatoes as Affected by Agronomic Practices, Postharvest Management, and Processing Methods: A Mini Review

Cited by 14 publications

References 63 publications

A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data

A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data

Bacillus Species: Excellent Biocontrol Agents against Tomato Diseases

Application of Exogenous Melatonin Improves Tomato Fruit Quality by Promoting the Accumulation of Primary and Secondary Metabolites

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