A5017436963- Remote Sensing in Agriculture
- Spectroscopy and Chemometric Analyses
- Smart Agriculture and AI
- Horticultural and Viticultural Research
- Leaf Properties and Growth Measurement
- Plant Stress Responses and Tolerance
- Plant Water Relations and Carbon Dynamics
- Plant Growth Enhancement Techniques
- Enzyme Catalysis and Immobilization
- Remote Sensing and LiDAR Applications
- Plant Physiology and Cultivation Studies
- Agriculture, Plant Science, Crop Management
- Plant Virus Research Studies
- Plant Molecular Biology Research
- Genetics and Plant Breeding
- Plant responses to elevated CO2
- Plant tissue culture and regeneration
- Metal-Catalyzed Oxygenation Mechanisms
- Photosynthetic Processes and Mechanisms
- Biochemical Acid Research Studies
- Wheat and Barley Genetics and Pathology
- Plant Disease Management Techniques
- Dye analysis and toxicity
- Genetic Mapping and Diversity in Plants and Animals
- Composting and Vermicomposting Techniques
Ente Regionale per i Servizi all'Agricoltura e alle Foreste
2021
Fondazione Progetto Ematologia
2010
Centre National de la Recherche Scientifique
2002-2005
Swedish University of Agricultural Sciences
2002
Federal Government of Germany
1981
Plant phenotyping is the study of complex plant traits to evaluate its status depending on life-cycle conditions. Often, these evaluations are carried out by human operators, and accuracy could be biased their experience skill, especially when dealing with huge amounts data produced high-throughput (HTP) platforms. With rapid development key enabling technologies, HTP only made possible vast available computer vision systems. In this scenario, artificial intelligence algorithms play a role...
Effective identification of tomato plant traits is crucial for timely monitoring and evaluating their growth harvest. However, conducting stress experiments on multiple genotypes introduces challenges due to the nature data. One these arises from an imbalanced sample distribution, potentially leading misclassification between classes disruptions in model recognition. This paper addresses effect by considering flowers, fruits, nodes proposing improved detection approach through data...
Drought stress imposes a major constraint over crop yield and can be expected to grow in importance if the climate change predicted comes about. Improved methods are needed facilitate management via prompt detection of onset stress. Here, we report use an vivo OECT (organic electrochemical transistor) sensor, termed as bioristor, context drought response tomato plant. The device was integrated within plant’s stem, thereby allowing for continuous monitoring physiological status throughout its...
Introduction Kiwifruit species have a relatively high rate of root oxygen consumption, making them very vulnerable to low zone concentrations resulting from soil waterlogging. Recently, kiwifruit rootstocks been increasingly used improve biotic and abiotic stress tolerance crop performance under adverse conditions. The aim the present study was evaluate morpho-physiological changes in grafting combinations short-term waterlogging stress. Methods A pot trial conducted at ALSIA PhenoLab, part...
According to the IPCC 2014 report Mediterranean region will be affected by strong climatic changes, both in terms of average temperature and precipitations regime. This area hosts some half a billion people impact on food production severe. To implement climate smart agriculture paradigm sustainable increase agricultural productivity different approaches can deployed. Agriculture alone consumes 70% entire water available planet, thus observed reduction useful rainfall growing costs for...
Recent developments in low-cost imaging hyperspectral cameras have opened up new possibilities for high-throughput phenotyping (HTP), allowing high-resolution spectral data to be obtained the visible and near-infrared range. This study presents, first time, integration of a camera Senop HSC-2 into an HTP platform evaluate drought stress resistance physiological response four tomato genotypes (770P, 990P, Red Setter Torremaggiore) during two cycles well-watered deficit irrigation. Over 120...
Due to climate change, many agricultural areas will face shortages in water availability; thus, the mission of upcoming decades is ensure food security while improving agriculture sustainability. The development wheat varieties that are more adaptable changing mandatory achieve this goal. Genetic resources can be key unlock a wide genetic potential, but faster, high throughput methods needed easily screen huge amount available resources. Phenotyping central element exploit as it allows us...
The identification of heat stress (HS)-resilient germplasm is important to ensure food security under less favorable environmental conditions. For that, with an altered activity factors regulating the HS response genetic tool for crop improvement. Heat shock binding protein (HSBP) one main negative regulators response, acting as a repressor transcription factors. We identified TILLING allele Solanum lycopersicum (tomato) HSBP1. examined effects mutation on functionality in tomato...
cis-9,10-Epoxystearic acid was used as a tool to probe the active sites of epoxide hydrolases (EHs) mammalian and plant origin. We have compared stereochemical features hydrolysis this substrate catalysed by soluble membrane-bound rat liver EHs, EH (purified apparent homogeneity) obtained from maize seedlings or celeriac roots, recombinant soybean expressed in yeast. Plant EHs were found differ their enantioselectivity, i.e. ability discriminate between two enantiomers 9,10-epoxystearic...
In the scenario of climate change, availability genetic resources for tomato cultivation that combine improved nutritional properties and more tolerance to water deficiency is highly desirable. Within this context, molecular screenings Red Setter cultivar-based TILLING platform led isolation a novel lycopene ε-cyclase gene (SlLCY-E) variant (G/3378/T) produces modifications in carotenoid content leaves fruits. leaf tissue, G/3378/T SlLCY-E allele enhances β,β-xanthophyll at expense lutein,...
Recently, computer vision and artificial intelligence are being used as enabling technologies for plant phenotyping studies, since they allow the analysis of large amounts data gathered by sensors. Plant studies can be devoted to evaluation complex traits either on aerial part well underground part, extract meaningful information about growth, development, tolerance, or resistance itself. All should evaluated automatically quantitatively measured in a non-destructive way. This paper...
Abstract Plant tissue in vitro culture is increasingly used agriculture to improve crop production, nutritional quality, and commercial value. In plant virology, the technique as sanitation protocol produce virus‐free plants. Sanitized (S) artichokes show increased vigour compared their non‐sanitized (NS) counterparts, because viral infections lead a decline of growth development. To investigate mechanisms that control complex traits related morphology, growth, yield S NS plants, RNAseq...
The PII protein in plants has been associated to many different tissue specialized roles concerning the Nitrogen assimilation pathways. We report here further characterization of L. japonicus transgenic lines overexpressing encoded by LjGLB1 gene that is strongly expressed guard cells Lotus plants. Consistently with a putative role played specific cellular context we have observed an alteration patterns stomatal movement An increased closure measured epidermal peels from detached leaves...
Aim: This study examined whether the application of calcite-silicon mediated particle film (CaPF) at veraison can mitigate a drought-induced increase in leaf temperature on grapevine, thus contributing to improved functionality, yield and grape composition traits.Methods results: A total 48 five-year-old Merlot (Vitis vinifera L.) vines grafted onto SO4 were grown (in 20 L PVC pots) under Mediterranean conditions (Southern Italy). The pruned single spur with 3 winter buds irrigated daily 100...
Abstract This study investigates the use of exploratory data analysis and supervised learning techniques to analyze plant phenotyping traits, with a specific focus on: i) genetic diversity (wild type vs mutant tomato plants); ii) plant-plant interactions (primed non-primed plants using volatiles emitted by other stressed iii) stress response (using drought comparing droughted controls). The analyzed consisted high-throughput imaging at multiple wavelengths, which allowed for examination...