<p>  </p> <p>Advanced high temperature fluid reactors (AR), such as sodium fast reactors (SFR) and molten salt cooled reactors (MSCR) are promising nuclear energy options, which offer lower levelized electricity costs compared to existing light water reactors (LWR). Increasing economic competitiveness of ARs in the open market involves developing strategies for reducing operation and maintenance (O&M) costs. Digitization of AR’s allows to implement continuous on-line monitoring paradigm to achieve early detection of incipient problems, and thus reduce O&M costs. Machine learning (ML) algorithms offer a number of advantages for reactor monitoring through anticipation of key performance variables using data-driven process models. ML model does not require detailed knowledge of the system, which could be difficult to obtain or unavailable because of commercial privacy restrictions. In addition, any data obtained from sensors or through various ML models need to be securely transmitted under all possible conditions, including those of cyber-attacks. Quantum information processing offers promising solutions to these threats by establishing secure communications, due to unique properties of entanglement and superposition in quantum physics. More specifically, quantum key distribution (QKD) algorithms can be used to generate and transmit keys between the reactor and a remote user. In one of popular QKD communication protocols, BB84, the symmetric keys are paired with an advanced encryption standard (AES) protocol protecting the information. Another challenge in sensor measurements is the noise, which can affect the accuracy and reliability of the measured values. The presence of noise in sensor measurements can lead to incorrect interpretations of the data, and therefore, it is crucial to develop effective signal processing techniques to improve the quality of measurements. </p> <p>In this study, we develop several variations of Recurrent Neural Networks (RNN) and test their ability to predict future values of thermocouple measurements. Data obtained by a heat-up experiment conducted in a liquid sodium experimental facility is used for training and testing the RNNs. The method of extrapolation is also explored using measurements of different sensors to train and test a network. We then examine through computer simulations the potential of secure real-time communication of monitoring information using the BB84 protocol. Finally, signal analysis is performed with Discrete Fourier Transform (DFT) sensor signals to analyze and correlate the prediction results with the results obtained by the analysis of the time series in the frequency domain. Using information from the frequency analysis, we apply cutoff filters in the original time series and test again the performance of the networks. Results show that the ML models developed in this work can be efficiently used for forecasting of thermocouple measurements, as they provide Root Mean Square Error (RMSE) values lower than the measurement uncertainty of the thermocouples. Extrapolation produces good results, with performance related to the Euclidean distance between the sets of time series. Moreover, the results from the utilization of the BB84 protocol to securely transmit the measurements prove the feasibility of secure real-time communication of monitoring information. The application of the cutoff filters provided more accurate predictions of the thermocouple measurements than in the case of the unfiltered signals.</p> <p>The suit of computational tools developed in this work is shown to be efficient and promises to have a positive impact on improving performance of an AR.</p>

Le vieillissement normal comporte une diminution légère des fonctions cognitives supérieures qui n’entrave pas le fonctionnement quotidien de la personne. Cependant, ce déclin peut rendre la personne âgée plus vulnérable si celle-ci subit une atteinte cérébrale acquise, tel un traumatisme craniocérébral (TCC). Devant le vieillissement démographique de la population, l’intérêt pour l’étude du vieillissement cérébral normal et pathologique a significativement augmenté au cours des dernières années. Malgré ce fait, on constate une absence de programmes validés de réadaptation cognitive pour les personnes âgées qui subissent un TCC, alors que la cause la plus fréquente de TCC chez la personne âgée sont les chutes de sa propre hauteur, dont la fréquence augmente avec l’âge. Ces faits permettent de présager une augmentation significative de cas de personnes âgées qui subissent un TCC, ce qui représentera un fardeau additionnel pour le déjà surchargé système de santé. Le présent projet de recherche clinique visait à compenser une telle carence en évaluant l’efficacité d’un programme d’entrainement cognitif, le Programme d’enrichissement cognitif (PEC), spécifiquement développé par l’auteur de cette thèse pour les personnes qui ont subi un TCC à l’âge de 55 ans et plus. Le PEC est composé de trois modules intégrant des méthodes de réadaptation qui visent des processus cognitifs fréquemment atteints tant chez la personne âgée que chez les personnes ayant subi un TCC : conscience de soi, mémoire épisodique et fonctions exécutives. Deux études de l’efficacité du PEC, effectuées par le biais d’un devis contrôlé semi-randomisé à simple aveugle, sont présentées dans la présente thèse. La première étude visait à démontrer l’efficacité du PEC pour améliorer la mémoire épisodique. Le deuxième module du PEC, composé d’exercices d’entrainement mnémonique tirés du Programme MEMO, vise tout particulièrement cette dimension mnésique. Le Programme MEMO a été originalement conçu et démontré comme étant efficace pour les personnes âgées présentant un déclin cognitif léger (ou mild cognitive impairment). Il s’agit de la première étude impliquant le Programme MEMO auprès de personnes ayant subi un TCC. Une ANCOVA a mis en évidence des améliorations significatives sur une mesure psychométrique de mémoire épisodique et d’une mesure auto-rapportée de généralisation dans la vie quotidienne des participants du groupe expérimental. De plus, une amélioration cliniquement significative a été constatée au niveau de leur perception de bien-être psychologique. La deuxième étude évaluait l’efficacité du PEC pour le fonctionnement exécutif des participants, tel que mesuré par des instruments psychométriques évaluant des composantes exécutives, ainsi que des mesures de généralisation à la vie quotidienne. Les résultats ont montré une amélioration significative dans le groupe expérimental pour des sous-tâches d’une épreuve de fonctionnement exécutif, ainsi qu’une réduction significative des différences entre les participants au PEC et leurs proches sur une échelle de fonctionnement exécutif dans la vie quotidienne. De plus, le nombre d’activités quotidiennes abandonnées était significativement réduit 6 mois plus tard dans le groupe expérimental. L’intégration de programmes de réadaptation cognitive comme le PEC dans les services de réadaptation nous paraît tout à fait nécessaire et hautement recommandée, tout comme la formation de neuropsychologues en méthodes et stratégies de réadaptation cognitive et neuropsychologiques afin d’améliorer significativement l’offre de services à la population vieillissante et générale. / Aging is a natural process that includes decline in higher cognitive functions. This decline doesn’t impede daily functioning but may render a person more vulnerable if they acquire a traumatic bran injury (TBI). The world’s demographic aging has motivated a rise of the interest for the study of normal and neuropathological cognitive decline. Despite this fact, there is a gap in terms of validated neurocognitive training programs specifically conceived for ageing persons who sustain a TBI, even though the main causes of TBI are falls from one’s own height, which become more frequent with age. These facts point to an expected rise of TBI among older people, creating a burden on the already overloaded public health system. This clinical research project aimed to compensate this gap by evaluating the efficacy of a cognitive training program specifically developed by the author of this thesis for people who suffered a TBI at the age of 55 years old or more. This program is named Cognitive Enrichment Program (CEP). The CEP is composed of three modules integrating rehabilitation methods of cognitive functions frequently disturbed during aging and in TBI: self-awareness, episodic memory, and executive functions. Two studies evaluating the efficacy of the CEP, using a controlled semi-randomized single-blind design, are reported in this thesis. The first study aimed to demonstrate the CEP’s efficacy in improving episodic memory. The CEP’s second module is composed of the training mnemonic exercises of the MEMO Program, which focuses mainly on this memory dimension. The MEMO program was originally conceived and demonstrated to be effective for people suffering from mild cognitive impairment. This is the first study to use the MEMO Program with individuals having sustained a TBI. ANCOVA showed significant improvements in a psychometric episodic memory measure, and on a daily-life generalisation self-reported measure in experimental group participants. In addition, they showed clinically significant improvement in self-perceived psychological well-being. The second study assessed CEP efficacy on participants’ executive functioning using psychometric measures of executive functions, and on daily-life generalization measures. Results showed significant improvement in the experimental group on subtasks of a psychometric executive function measure, as well as a significant reduction in CEP participant-significant other differences on a self-reported scale assessing executive functioning in daily life. Also, the number of forsaken daily activities was significantly reduced 6 months later in the experimental group. Integration of cognitive rehabilitation programs such as the CEP into holistic rehabilitation programs is necessary and highly recommended, as is training neuropsychologists on cognitive and neuropsychological rehabilitation methods and strategies, to improve services offered to the aging and general population.

<p dir="ltr">New system-level codes are being developed for advanced reactors for safety analysis and licensing purposes. Thermal-hydraulics of advanced reactors is a challenging problem due to complex flow scenarios assisted by free jets and stratified flows that lead to turbulent mixing. For these reasons, the 0D or 1D models used for reactor plena in traditional safety analysis codes like RELAP cannot capture the physics accurately and introduce a large degree of modeling uncertainty. System-level calculation codes based on the advection-diffusion equation neglect turbulent fluctuations. These fluctuations are extremely important as they introduce higher-order moments, which are responsible for vortex stretching and the passage of energy to smaller scales. Alternatively, extremely detailed simulations with velocity coupling from the Navier-Stokes equations are able to capture turbulence effects accurately using DNS. These solutions are accurate because they resolve the flow into the smallest possible length and time scales (Kolmogorov scale) important to the flow, which makes DNS computationally expensive for simple geometries and impossible at the system level.</p><p dir="ltr">The flow field can be described through a reduced-order model using the principles of statistical mechanics. Statistical mechanics-based methods provide a method for extracting statistics from data and modeling that data using easily represented differential equations. The Kramers-Moyal (KM) expansion method can be used as a subgrid-scale (SGS) closure for solving the momentum equation. The stochastic Burgers equation is solved using DNS, and the DNS solutions are used to calculate the KM coefficients, which are then implemented as an SGS closure model. The KM method outperforms traditional methods in capturing the multi-scale behavior of Burgers turbulence. The functional dependencies of the KM coefficients are also uniform for several boundary conditions, meaning the closure model can be extended to multiple flow scenarios. </p><p dir="ltr">For the case of the Navier-Stokes equations, each particle trajectory tends to follow some scaling law. Kolmogorov hypothesized that the flow velocity field follows a -5/3 scaling in the inertial region where Markovian characteristics can be invoked to model the interaction between eddies of adjacent sizes. This law holds true in the inertial region where the flow is Markovian. For scalar turbulence, the scaling laws are affected by thermal diffusion. If a fluid has a Prandtl number close to one, the thermal behavior is dominated by momentum, so the spectra for velocity and temperature are similar. For small Prandtl number fluids, such as liquid metals, the thermal diffusion dominates the lower scales and the slope of the spectrum shifts from the -5/3 slope to a -3 slope, also called the Batchelor region. System-level thermal hydraulics codes need to be able to capture these behaviors for a range of Prandtl number fluids. The KM-based model can also be used as a surrogate for velocity or temperature fluctuations in scalar turbulence. Using DNS solutions for turbulent channel flow, the KM model is used to provide a surrogate for temperature and velocity signals at different wall locations in the channel for Pr = 0.004, Pr = 0.025, and Pr = 0.71. The KM surrogate matches well for all wall locations, but is not able to capture the viscous dissipation in the velocity signal, or the thermal dissipation in the low Prandtl number cases. The dissipation can be captured by implementing a Gaussian filter.</p><p dir="ltr">Statistical mechanics-based methods are not limited to modeling turbulence in a reactor. Renewable power generation, such as wind, can be modeled using the Ornstein-Uhlenbeck (OU) method, which allows the long-term trends and short-term fluctuations of wind power to be decoupled. This allows for large fluctuations in wind power to be scaled down to a level that a reactor can accommodate safely. </p><p dir="ltr">Since statistical mechanics methods are based in physics, the calculated coefficients provide some information about the inputted signal. In a high-temperature gas-cooled reactor, strong heating can cause flow that is expected to be turbulent to show laminar characteristics. This laminarization results in reduced heat removal. The KM coefficients can be used to classify the laminarization from probed velocity signals more effectively than traditional statistical analyses.</p>

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[pt] Este estudo investigou interações entre a liderança e fatores do contexto organizacional e entre a liderança e características individuais dos seguidores na predição de atitudes e comportamentos favoráveis ao desempenho organizacional. A investigação se deu através de dois modelos teóricos. No primeiro modelo, foram testadas hipóteses de moderação da relação entre a liderança transformacional e o comprometimento organizacional afetivo pela riqueza das tarefas e pela necessidade pessoal de estrutura. No segundo, foram testadas hipóteses de moderação da relação entre a liderança transformacional e a motivação para o trabalho pelos atributos do estabelecimento de metas e pela orientação para aprendizado. Os dados para a pesquisa foram coletados através de questionários respondidos por 194 empregados de uma empresa pública brasileira do setor de energia. Foram confirmadas as hipóteses de moderação da relação entre a liderança transformacional e o comprometimento organizacional afetivo pela riqueza das tarefas e pela necessidade pessoal de estrutura. A pesquisa identificou ainda efeitos de mediação da relação entre a liderança transformacional e a motivação para o trabalho pelos atributos do estabelecimento de metas e pela riqueza das tarefas. / [en] This study investigated the interactions between leadership and factors of the organizational context related to goals and individual characteristics of the followers for the prediction of attitudes and behaviors favorable to organizational performance. Two theoretical models have been established. In the first model, hypotheses of moderation of the relationship between transformational leadership and affective organizational commitment by job enrichment and by personal need for structure have been tested. In the second model, hypotheses of moderation of the relationship between transformational leadership and work motivation by goal setting and by goal orientation have been tested. The data for the study have been collected through questionnaires answered by 194 employees of a Brazilian stateowned company of the energy sector. Hypotheses of moderation of the relationship between transformational leadership and affective organizational commitment by job enrichment and by personal need for structure have been confirmed. The study further identified mediation effects of the relationship between transformational leadership and work motivation by goal setting and job enrichment.

Today, the availability of methods for the activity-preserving and cost-efficient downstream processing of enzymes forms a major bottleneck to the use of these valuable tools in technical processes. A promising technology appears to be foam fractionation, which utilizes the adsorption of proteins at a gas–liquid interface. However, the employment of surfactants and the dependency of the applicability on individual properties of the target molecules are considerable drawbacks. Here, we demonstrate that a reversible fusion of the large, surface-active protein Ranaspumin-2 (Rsn-2) to a β-lactamase (Bla) enabled both surfactant-free formation of a stable foam and directed enrichment of the enzyme by the foaming. At the same time, Bla maintained 70% of its catalytic activity, which was in stark contrast to the enzyme without fusion to Rsn-2. Rsn-2 predominantly mediated adsorption. Comparable results were obtained after fusion to the structurally more complex penicillin G acylase (PGA) as the target enzyme. The results indicate that using a surface-active protein as a fusion tag might be the clue to the establishment of foam fractionation as a general method for enzyme downstream processing.

Both children and adults have been shown to benefit from the integration of multisensory and sensorimotor enrichment into pedagogy. For example, integrating pictures or gestures into foreign language (L2) vocabulary learning can improve learning outcomes relative to unisensory learning. However, whereas adults seem to benefit to a greater extent from sensorimotor enrichment such as the performance of gestures in contrast to multisensory enrichment with pictures, this is not the case in elementary school children. Here, we compared multisensory- and sensorimotor-enriched learning in an intermediate age group that falls between the age groups tested in previous studies (elementary school children and young adults), in an attempt to determine the developmental time point at which children’s responses to enrichment mature from a child-like pattern into an adult-like pattern. Twelve-year-old and fourteen-year-old German children were trained over 5 consecutive days on auditorily presented, concrete and abstract, Spanish vocabulary. The vocabulary was learned under picture-enriched, gesture-enriched, and non-enriched (auditory-only) conditions. The children performed vocabulary recall and translation tests at 3 days, 2 months, and 6 months post-learning. Both picture and gesture enrichment interventions were found to benefit children’s L2 learning relative to non-enriched learning up to 6 months post-training. Interestingly, gesture-enriched learning was even more beneficial than picture-enriched learning for the 14-year-olds, while the 12-year-olds benefitted equivalently from learning enriched with pictures and gestures. These findings provide evidence for opting to integrate gestures rather than pictures into L2 pedagogy starting at 14 years of age.

<p dir="ltr">Generation IV high-temperature gas-cooled reactors (HTGR) are designed to exhibit passive safety under all off-normal circumstances. One such scenario, known as depressurized loss of forced circulation (DLOFC), occurs after a break in the coaxial inlet/outlet header. As the headers are traditionally located at the base of the reactor vessel, the low-density helium coolant is preserved in the core following the initial rupture accident. Upon depressurization, however, air from the surrounding reactor environment slowly enters the coolant channel through molecular diffusion. As the incoming fluid continues to deplete the helium concentration, the onset of natural circulation (ONC) can occur causing bulk air ingress leading to the oxidation and degradation of core components. Therefore, investigating methods to improve the time to ONC is critical in impeding reactor core component damage brought about by DLOFC in an HTGR.</p><p dir="ltr">The Transformational Challenge Reactor (TCR) has similar features to those of an HTGR, but the primary difference is the use of a more complex, additively manufactured (AM) fuel geometry. The more compact, AM, ceramic fuel elements can be conveniently produced with optimally configured channels that suppress the air ingress progress and improve thermofluidic performance. DLOFC and air ingress are experimentally studied in a scaled HTGR flow test setup. Distributed temperature measurements and time to ONC data are collected for the experiments conducted. Multiple geometries are analyzed throughout the investigation. The thermal transient and time to ONC data gathered for the different test geometries and temperatures are compared. The results show that the AM and pebble bed elements deter ONC significantly longer than the baseline geometry representative of a prismatic fuel coolant channel. The AM part delayed ONC as compared to the pebble bed test piece at higher temperatures. The distributed temperature sensor shows intra-leg circulation at higher temperature tests.</p><p dir="ltr">Thermophysical properties of the 316 stainless steel AM component are compared to those of a standard 316 stainless steel round bar. The properties ascertained include the density, emissivity, specific heat, and thermal conductivity. The density of the AM part is 1.5% greater than the density of the standard bar. The emissivity of the AM part is determined to be over three times greater than the emissivity of the polished standard stainless steel round. The specific heat of the AM element is 16% greater than that of the standard 316 stainless steel specific heat. The thermal conductivity of the AM component is measured to be within 1.5% of the standard 316 stainless steel round bar thermal conductivity.</p>

[ES] El impacto del cambio climático en los cultivos hortícolas es cada vez más evidente, lo que ha llevado a la pérdida y erosión de diversidad genética de manera drástica. Esto plantea importantes desafíos para la mejora de los cultivos, que requiere la exploración de los recursos fitogenéticos conservados en los bancos de germoplasma y el desarrollo de tecnologías que permitan evaluar el valor fenotípico y genotípico de estos materiales. Sin embargo, la situación actual de las colecciones de germoplasma es la existencia de duplicados no identificados entre colecciones, errores en la clasificación taxonómica, documentación insuficiente y no disponible para investigadores y mejoradores, añadido a la falta de financiación para la conservación y gestión adecuadas. Esto dificulta enormemente la utilización de estos recursos. En la presente Tesis se aborda este problema comenzando por la unificación de datos de pasaporte, fenotipado e imágenes de las principales colecciones de tomate, pimiento y berenjena en un mismo repositorio en el primer capítulo. El segundo capítulo se centra en el desarrollo y optimización de un método de extracción de ADN genómico de alta calidad, rápido y económico que combina las ventajas del método de extracción basado en el CTAB, añadido a la purificación de los ácidos nucleicos en una matriz de sílice. Es un método universal que puede utilizarse para diferentes especies y tejidos. Se ha evaluado la eficiencia del ADN genómico resultante en diferentes plataformas de secuenciación como SPET (Single Primer Enrichment Technology) y Oxford Nanopore, generando resultados muy prometedores. Esto facilita el paso previo al genotipado de las colecciones que es la extracción de ADN. En el tercer capítulo se aborda el genotipado de las colecciones. El elevado número de accesiones de cada cultivo, en particular el tomate, supone un problema de tipo económico, en ocasiones irresoluble. Por ello, el tercer capítulo está orientado a la evaluación del potencial de la tecnología de secuenciación SPET, más económica que otras conocidas, para el genotipado de alto rendimiento de colecciones de germoplasma de tomate y berenjena. Los resultados revelan que el genotipado SPET es una tecnología robusta y de alto rendimiento para estudios genéticos, incluyendo la posibilidad de identificación de duplicados y errores de clasificación taxonómica en las entradas conservadas en los bancos. Con la información generada en los primeros tres capítulos se establecieron las colecciones nucleares para cada cultivo, abarcando la máxima diversidad genética y fenotípica en un conjunto de 450 individuos. Finalmente, en el cuarto capítulo, se analiza y describe la colección nuclear de tomate a nivel genético y fenotípico, mediante un enfoque basado en el establecimiento de grupos genéticos basados en su proximidad genética. El análisis de la diversidad genética y fenotípica reveló patrones de variación distintos entre diferentes grupos genéticos, contradiciendo afirmaciones anteriores que proponían una disminución en la diversidad genética como consecuencia de la mejora genética y descubriendo correlaciones entre rasgos morfológicos únicas dentro de los diferentes grupos. En resumen, esta tesis aumenta el conocimiento y accesibilidad a las colecciones de Solanaceae en bancos de germoplasma y proporciona herramientas moleculares. Destaca la importancia de estos bancos como reservorios de diversidad genética, aunque enfrenten desafíos como datos limitados y duplicados. Estos avances sientan las bases para la conservación y programas de mejora futuros. / [CA] L'impacte del canvi climàtic en els cultius hortícoles és cada vegada més evident, la qual cosa ha portat a la dràstica pèrdua i erosió de la diversitat genètica. La reduïda diversitat genètica planteja importants reptes per a la millora dels cultius. Sent necessari l'exploració dels recursos genètics vegetals conservats en els bancs de germoplasma i el desenvolupament de tecnologies que permeten avaluar el valor fenotípic i genotípic d'aquests materials. Pel que fa a les col·leccions de germoplasma presenten duplicats no identificats entre col·leccions, errors en la classificació taxonòmica, falta de finançament per a la conservació i gestió adequades a banda de documentació insuficient i no disponible (investigadors i milloradors vegetals). En la present tesi doctoral en el primer capítol s'aborda aquest problema unificant les dades de passaport, fenotipat i imatges de les principals col·leccions de tomaca, pebre i albergínia en un mateix repositori. El segon capítol es focalitza en el desenvolupament i optimització d'un mètode d'extracció de ADN genòmic d'alta qualitat, ràpid i econòmic que combina els avantatges del mètode d'extracció basat en el CTAB amb l'ús de matrius de sílice. El mètode desenvolupat pot utilitzar-se de manera universal per a diferents espècies i teixits vegetals. S'ha avaluat l'eficiència del ADN genòmic resultant en diferents plataformes de seqüenciació com SPET (Single Primer Enrichment Technology) i Oxford Nanopore, generant resultats molt prometedors. Això facilita el pas previ al genotipat de les col·leccions que és l'extracció d'ADN. En el tercer capítol aborda l'optimització del procés de genotipat de les col·leccions generades. L'elevat nombre d'accessions de cada cultiu, en particular la tomaca, suposa un problema de tipus econòmic, a vegades irresoluble. Per això, aquest capítol està orientat a l'avaluació del potencial de la tecnologia de seqüenciació SPET per al genotipat d'alt rendiment de col·leccions de germoplasma de tomaca i albergínia a un preu econòmic. Els resultats revelen que el genotipat SPET és una tecnologia robusta i d'alt rendiment per a estudis genètics, incloent-hi la possibilitat d'identificació de duplicats i errors de classificació taxonòmica en les entrades conservades en els bancs de germoplasma. La informació generada va permetre establir col·leccions nuclears per a cada cultiu, abastant la màxima diversitat genètica i fenotípica en un conjunt de 450 individus. Finalment, en el quart capítol, s'analitza i descrigué la col·lecció nuclear de tomaca a nivell genètic i fenotípic, focalitzant-se en l'establiment de grups genètics basats en la seua proximitat genètica. L'anàlisi de la diversitat genètica i fenotípica va revelar patrons de variació diferents entre diferents grups genètics, contradient afirmacions anteriors que proposaven una disminució en la diversitat genètica a conseqüència de la millora genètica. També és descobriren noves correlacions entre trets morfològics únics dins dels diferents grups. L'estudi destaca la importància d'abordar les iniciatives de millora de la tomaca tenint en compte tant la diversitat genètica com la fenotípica, amb especial èmfasi en aspectes com la grandària, la forma, el color i la qualitat del fruit. En definitiva, els treballs realitzats en aquesta tesi doctoral augmenten, d'una banda, el coneixement i l'accessibilitat a les principals col·leccions de solanàcies conservades en els bancs de germoplasma. Per un altre, generen eines moleculars que permeten l' avaluació genotípica de les col·leccions analizades. En resum, aquests avanços suposen una base per al futur, proporcionant informació valuosa per a la pròpia conservació de les col·leccions i el seu ús en programes de millora. / [EN] The impact of climate change on horticultural crops is increasingly evident, leading to drastic loss and erosion of genetic diversity. This poses significant challenges for crop improvement, which requires the exploration of plant genetic resources conserved in germplasm banks and the development of technologies. However, the current situation of germplasm collections is characterized by the existence of unidentified duplicates among collections, taxonomic mislabelling, insufficient and unavailable documentation for researchers and breeders, and a lack of funding for proper conservation and management. This greatly hampers the utilization of these resources. This thesis addresses this problem by starting with the unification of passport, phenotyping, and image data from the main collections of tomato, pepper, and eggplant. Genotyping these collections enables the creation of core collections, enhancing knowledge of genotypic and phenotypic variability for researchers and breeders. In the first chapter, an inventory of available passport and phenotypic data of tomato, pepper, and eggplant accessions conserved in major European and non-European germplasm banks were conducted to improve the efficiency of plant genetic resource management. The second chapter focuses on the development and optimization of a high-quality, fast, and cost-effective genomic DNA extraction method that combines the advantages of the CTAB-based extraction method with nucleic acid purification on a silica matrix. The efficiency of the resulting genomic DNA was evaluated on different sequencing platforms, such as Single Primer Enrichment Technology (SPET) and Oxford Nanopore, yielding promising results. This facilitates the prerequisite step of DNA extraction before genotyping the collections. Chapter three addresses the genotyping of the collections. The high number of accessions for each crop, particularly tomato, poses an often insurmountable economic problem. Therefore, chapter three is focused on evaluating the potential of SPET sequencing technology, which is more cost-effective than other known methods, for high-throughput genotyping of tomato and eggplant germplasm collections. The results reveal that SPET genotyping is a robust and high-performance technology for genetic studies, including the identification of duplicates and taxonomic misclassifications in the accessions stored in the germplasm banks. Based on the information generated in the first three chapters, core collections were established for each crop, encompassing maximum genetic and phenotypic diversity in a set of 450 individuals. Finally, in the fourth chapter, the genetic and phenotypic analysis of the tomato core collection is examined and described using an approach based on establishing genetic groups based on their genetic proximity. Genetic and phenotypic diversity analysis revealed distinct patterns of variation among different genetic groups, contradicting previous claims of a decrease in genetic diversity due to genetic improvement and uncovering unique correlations between morphological traits within different groups. The study highlights the importance of considering both genetic and phenotypic diversity in tomato breeding initiatives, with a particular emphasis on aspects such as fruit size, shape, color, and quality. In conclusion, this thesis enhances knowledge and accessibility to major Solanaceae collections in germplasm banks, while providing molecular tools for genotypic evaluation. It underscores germplasm banks' role as genetic diversity reservoirs, despite challenges such as data limitations and inaccuracies, emphasizing the importance of data standardization and maintenance. These advancements lay a foundation for conservation and breeding programs in the future. / This work was supported by grants CIPROM/2021/020 from Conselleria d’Innovació, Universitats, Ciència i Societat Digital (Generalitat Valenciana, Spain), PID2021-128148OB-I00 funded by MCIN/AEI/10.13039/501100011033/ and by “ERDF A way of making Europe”, PDC2022-133513-I00 funded by MCIN/AEI/10.13039/501100011033/, and by “European Union NextGenerationEU/PRTR”, by Grant Agreement No. 677379 (G2P-SOL project: Linking genetic resources, genomes and phenotypes of Solanaceous crops) from European Union’s Horizon 2020 Research and Innovation Programme, by the Grant Agreement No. 101094738 (PRO-GRACE project: Promoting a Plant Genetic Resource Community for Europe) from the European Union’s Horizon Europe programme, as well as by the initiative "Adapting Agriculture to Climate Change: Collecting, Protecting and Preparing Crop Wild Relatives", which is supported by the Government of Norway. This later project is managed by the Global Crop Diversity Trust with the Millennium Seed Bank of the Royal Botanic Gardens, Kew and implemented in partnership with national and international gene banks and plant breeding institutes around the world. For further information, see the project website: htp://www.cwrdiversity.org/. The overall work also partially fulfils some goals of the Agritech National Research Center and received funding from the European Union Next-Generation EU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR)–MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4—D.D. 1032 17/06/2022, CN00000022). David Alonso is grateful to Universitat Politècnica de València for a predoctoral (PAID-01-16) / Alonso Martín, D. (2023). Linking Genetic Resources, Genomes and Phenotypes of Solanaceus Crops [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/201550