Academic literature on the topic 'Photosynthesis mathematical models'

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Journal articles on the topic "Photosynthesis mathematical models"

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Badu, Shyam, Roderick Melnik, and Sundeep Singh. "Analysis of Photosynthetic Systems and Their Applications with Mathematical and Computational Models." Applied Sciences 10, no. 19 (2020): 6821. http://dx.doi.org/10.3390/app10196821.

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In biological and life science applications, photosynthesis is an important process that involves the absorption and transformation of sunlight into chemical energy. During the photosynthesis process, the light photons are captured by the green chlorophyll pigments in their photosynthetic antennae and further funneled to the reaction center. One of the most important light harvesting complexes that are highly important in the study of photosynthesis is the membrane-attached Fenna–Matthews–Olson (FMO) complex found in the green sulfur bacteria. In this review, we discuss the mathematical formul
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García-Rodríguez, Luz del Carmen, Juan Prado-Olivarez, Rosario Guzmán-Cruz, et al. "Mathematical Modeling to Estimate Photosynthesis: A State of the Art." Applied Sciences 12, no. 11 (2022): 5537. http://dx.doi.org/10.3390/app12115537.

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Photosynthesis is a process that indicates the productivity of crops. The estimation of this variable can be achieved through methods based on mathematical models. Mathematical models are usually classified as empirical, mechanistic, and hybrid. To mathematically model photosynthesis, it is essential to know: the input/output variables and their units; the modeling to be used based on its classification (empirical, mechanistic, or hybrid); existing measurement methods and their invasiveness; the validation shapes and the plant species required for experimentation. Until now, a collection of su
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Stirbet, Alexandrina, Dušan Lazár, Ya Guo, and Govindjee Govindjee. "Photosynthesis: basics, history and modelling." Annals of Botany 126, no. 4 (2019): 511–37. http://dx.doi.org/10.1093/aob/mcz171.

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Abstract Background With limited agricultural land and increasing human population, it is essential to enhance overall photosynthesis and thus productivity. Oxygenic photosynthesis begins with light absorption, followed by excitation energy transfer to the reaction centres, primary photochemistry, electron and proton transport, NADPH and ATP synthesis, and then CO2 fixation (Calvin–Benson cycle, as well as Hatch–Slack cycle). Here we cover some of the discoveries related to this process, such as the existence of two light reactions and two photosystems connected by an electron transport ‘chain
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Riznichenko, G. Yu, and A. B. Rubin. "Mathematical Modeling in Biology. Part 1. Dynamic Models of Primary Photosynthesis Processes." Biology Bulletin Reviews 11, no. 2 (2021): 93–109. http://dx.doi.org/10.1134/s2079086421020079.

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Amitrano, Chiara, Giovanni Battista Chirico, Stefania De Pascale, Youssef Rouphael, and Veronica De Micco. "Crop Management in Controlled Environment Agriculture (CEA) Systems Using Predictive Mathematical Models." Sensors 20, no. 11 (2020): 3110. http://dx.doi.org/10.3390/s20113110.

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Proximal sensors in controlled environment agriculture (CEA) are used to monitor plant growth, yield, and water consumption with non-destructive technologies. Rapid and continuous monitoring of environmental and crop parameters may be used to develop mathematical models to predict crop response to microclimatic changes. Here, we applied the energy cascade model (MEC) on green- and red-leaf butterhead lettuce (Lactuca sativa L. var. capitata). We tooled up the model to describe the changing leaf functional efficiency during the growing period. We validated the model on an independent dataset wi
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Niebsch, Jenny, Werner von Bloh, Kirsten Thonicke, and Ronny Ramlau. "Accelerated photosynthesis routine in LPJmL4." Geoscientific Model Development 16, no. 1 (2023): 17–33. http://dx.doi.org/10.5194/gmd-16-17-2023.

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Abstract. The increasing impacts of climate change require strategies for climate adaptation. Dynamic global vegetation models (DGVMs) are one type of multi-sectorial impact model with which the effects of multiple interacting processes in the terrestrial biosphere under climate change can be studied. The complexity of DGVMs is increasing as more and more processes, especially for plant physiology, are implemented. Therefore, there is a growing demand for increasing the computational performance of the underlying algorithms as well as ensuring their numerical accuracy. One way to approach this
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Jungck, John R., Holly Gaff, and Anton E. Weisstein. "Mathematical Manipulative Models: In Defense of “Beanbag Biology”." CBE—Life Sciences Education 9, no. 3 (2010): 201–11. http://dx.doi.org/10.1187/cbe.10-03-0040.

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Mathematical manipulative models have had a long history of influence in biological research and in secondary school education, but they are frequently neglected in undergraduate biology education. By linking mathematical manipulative models in a four-step process—1) use of physical manipulatives, 2) interactive exploration of computer simulations, 3) derivation of mathematical relationships from core principles, and 4) analysis of real data sets—we demonstrate a process that we have shared in biological faculty development workshops led by staff from the BioQUEST Curriculum Consortium over th
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Zhuravleva, V. V., A. S. Manicheva, and A. A. Martynova. "Analysis of the Mathematical Model of Photosynthesis in Protected Ground." Izvestiya of Altai State University, no. 4(114) (September 9, 2020): 86–91. http://dx.doi.org/10.14258/izvasu(2020)4-13.

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The problem of predicting changes in the intensity of photosynthesis associated with changes in the lighting mode, atmospheric carbon dioxide concentration, and the temperature is urgent. Appropriate models can help choose the optimal mode of growing plants in protected soil, as well as serve as a basis for predicting the consequences of global climate change. It is noted that in the conditions of protected soil, the most significant factor is the illumination of plants.
 The aim of the research is to construct an algorithm for additional illumination of plants in protected ground conditi
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Töpfer, Nadine. "Environment-coupled models of leaf metabolism." Biochemical Society Transactions 49, no. 1 (2021): 119–29. http://dx.doi.org/10.1042/bst20200059.

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The plant leaf is the main site of photosynthesis. This process converts light energy and inorganic nutrients into chemical energy and organic building blocks for the biosynthesis and maintenance of cellular components and to support the growth of the rest of the plant. The leaf is also the site of gas–water exchange and due to its large surface, it is particularly vulnerable to pathogen attacks. Therefore, the leaf's performance and metabolic modes are inherently determined by its interaction with the environment. Mathematical models of plant metabolism have been successfully applied to study
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Portes, Tomás Aquino. "Estimating the interconversion between CO2 and organic matter in the environment using mathematical models and some considerations." Revista de Biologia Neotropical / Journal of Neotropical Biology 17, no. 1 (2020): 56–67. http://dx.doi.org/10.5216/rbn.v17i1.61889.

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The aims was to use mathematical models to analyze the interconversion between the amount of organic matter produced and the consequent variation in the concentration of CO2 in the atmosphere and to discuss, supported by the data presented and the literature, possible changes in the Earth's environment. Scientific findings and evidence indicate that the concentrations of CO2 and O2 varied throughout the existence of the Earth. These variations were a consequence of the existing environment in different Eras, resulting in changes in all other processes that depended on these gases. Chemical rea
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Dissertations / Theses on the topic "Photosynthesis mathematical models"

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Pedreira, Bruno Carneiro e. "Interceptação de luz, arquitetura e assimilação de carbono em dosséis de capim-xaraés [Brachiaria brizantha (A. Rich.) Stapf. cv. Xaraés] submetidos a estratégias de pastejo rotacionado." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/11/11139/tde-21082006-153857/.

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A produção de forragem em pastagens é um processo complexo, pois envolve uma série de fatores de ordem fisiológica, morfológica e a interação destes. A partir do conhecimento sobre processos individuais e das interações entre eles pode-se estimar a capacidade assimilatória do dossel usando modelos matemáticos. O objetivo deste trabalho foi avaliar o desempenho agronômico e modelar o potencial fotossintético de dosséis vegetativos de capim-xaraés em função da arquitetura da comunidade vegetal e do ambiente luminoso, em pastagem submetida a estratégias de pastejo intermitente, com freqüências de
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Creti, Christian. "Fermentation méthanique et désulfuration de gaz par voie bactérienne : proposition d'un bioréacteur de désulfuration, optimisation des deux opérations du procédé." Paris 6, 1986. http://www.theses.fr/1986PA066309.

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Conception et réalisation d'un pilote de laboratoire de 20 litres, garni de supports bactériens en PVC, en vue de produire du biogaz (avec des teneurs en H2s au moins égales à 0,3%. ) Emploi de déchets agro-alimentaires riches en sulfates. L'automatisation est réalisée en connectant des capteurs et des actionneurs à un ordinateur industriel. Le biogaz produit passe en continu et en ligne dans un bioréacteur de désulfuration en molécules organiques. Proposition d'un modèle intégrant les différentes vitesses de réaction. Perspectives de synthèse de molécules à haute valeur ajoutée.
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de, Pury David Guilloaume George. "Scaling photosynthesis and water use from leaves to paddocks." Phd thesis, 1995. http://hdl.handle.net/1885/13261.

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Plant breeders can select cultivars with physiological traits that confer a growth or yield advantage to individual plants. The extent to which single plant characters influence canopy performance depends on interactions between vegetation and the atmosphere and the non-linear response of physiological processes to the environment. Better understanding of the scaling of photosynthesis and water use will allow the assessment of changes to leaf scale physiological traits at the canopy scale and prediction of the response of vegetation to climate change. This thesis examines the relationship bet
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Ethier, Gilbert J. "Internal leaf CO₂ transfer conductance diffusional limitation and its consequences for modelling photosynthesis in C₃ plant species." Thesis, 2006. http://hdl.handle.net/1828/2337.

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Virtually all current estimates of the maximum carboxylation rate (V.) of ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco) and the maximum electron transport rate (.Imax) for C3 species used to parameterise Land Surface Models (LSMs) implicitly assume an infinite CO2 transfer conductance from intercellular spaces to the sites of carboxylation (gi). And yet, most measurements in perennial plant species or in ageing or stressed leaves show that gi imposes a significant limitation on photosynthesis. In this study, I demonstrate that many current parameterisations of the photosynthesis mo
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Cinibulková, Renata. "Matematické modely vlivu vybraných faktorů na rychlost fotosyntézy pro střední odborné školy a gymnázia." Master's thesis, 2010. http://www.nusl.cz/ntk/nusl-296665.

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The goal of this Master thesis was development of teaching materials that are focusing on mastering the fundamentals of mathematical modelling on the examples of photosynthetic processes and influence of selected environmental factors on these processes. Developed models of photosynthetic response to select environmental factors, worksheets, methodical manuals and other supporting materials belong to the teaching materials for secondary schools and serve as a basis of work with models. This teaching materials are aimed to introduce modelling and its significance not only in science but also in
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Books on the topic "Photosynthesis mathematical models"

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Caemmerer, S. Von. Biochemical models of leaf photosynthesis. CSIRO Pub., 2000.

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I, Kefeli V., Institut pochvovedenii͡a i fotosinteza (Akademii͡a nauk SSSR), Nauchnyĭ sovet po fotosintezu i produkt͡sionnym prot͡sessam (Akademii͡a nauk SSSR), and Vsesoi͡uznoe obshchestvo fiziologov rasteniĭ (Soviet Union), eds. Vsesoi͡uznai͡a konferent͡sii͡a Preobrazovanie svetovoĭ ėnergii v fotosintezirui͡ushchikh sistemakh i ikh modeli͡akh: Tezisy dokladov : Pushchino, 26-30 ii͡uni͡a 1989 g. Nauch. t͡sentr biologicheskikh issledovaniĭ AN SSSR v Pushchine, 1989.

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Techniques in Plant Sciences Vol. 2: Biochemical Models. CSIRO Publishing, 2000.

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Book chapters on the topic "Photosynthesis mathematical models"

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Rubin, Andrew, and Galina Riznichenko. "Generalized Kinetic Model of Primary Photosynthetic Processes." In Mathematical Biophysics. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-8702-9_12.

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Goltsev, Vasili, Pavel Venedictov, and Vladimir Shinkarev. "Mathematical Model of the Millisecond Delayed Fluorescence." In Techniques and New Developments in Photosynthesis Research. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-8571-4_37.

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Rubin, Andrew, and Galina Riznichenko. "Models of Photosynthetic Electron Transport: Electron Transfer in a Multienzyme Complex." In Mathematical Biophysics. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-8702-9_9.

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Mitome, Yuta, Satoshi Iriyama, Keiko Sato, and Igor V. Volivich. "Efficient Energy Transfer in Network Model of Photosynthesis." In STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74971-6_7.

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"Analysis of two hypothetical mechanisms of photosynthetic oscillations by means of mathematical skeleton models." In World Congress of Nonlinear Analysts '92. De Gruyter, 1996. http://dx.doi.org/10.1515/9783110883237.3255.

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Conference papers on the topic "Photosynthesis mathematical models"

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Gulin, S. V., and A. G. Pirkin. "FEATURES OF BUSINESS-PROCESSES IN THE CREATION OF ELECTROTECHNOLOGICAL SYSTEMS FOR THE AGRICULTURAL INDUSTRIAL COMPLEX." In INNOVATIVE TECHNOLOGIES IN SCIENCE AND EDUCATION. DSTU-Print, 2020. http://dx.doi.org/10.23947/itno.2020.357-362.

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This article offers a universal methodology for the design, creation and operation of complex electrotechnological systems. This methodology is based on a system-process approach to business modeling. The article provides a detailed description of all private business processes that provide a full cycle of business engineering, and offers a General mathematical expression for a comprehensive assessment of the effectiveness of the business engineering process. The proposed methodology has been tested on the example of designing, creating and operating vegetation climate systems (VCS). This exam
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Riznichenko, G. Yu, A. N. Diakonova, I. B. Kovalenko, T. Yu Plyusnina, S. S. Khruschev, and V. A. Fyodorov. "Models of cellular and molecular regulation of the photosynthetic chain of hydrogen-producing microalgae." In Mathematical Biology and Bioinformatics. IMPB RAS - Branch of KIAM RAS, 2018. http://dx.doi.org/10.17537/icmbb18.25.

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Tanor, Meity, Arrijani Arrijani, and Debby Rayer. "Application of Cycle 5E Learning Model in Photosynthesis Discussion to improve Skills of Science Processes Airmadidi State High School Students." In Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia. EAI, 2020. http://dx.doi.org/10.4108/eai.12-10-2019.2296574.

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Straub, Quinn, and Juan Ordonez. "A Methodology for the Determination of the Light Distribution Profile of a Micro-Algal Photobioreactor." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54830.

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The following work presents an in depth analysis of the distribution of the light absorbance profile. The proper identification of conditions that maximize the growth efficiency of photosynthetic algae is necessary to optimize the productivity as a whole of the photobioreactor. In an effort to understand light as it interacts with an absorbing species such as algae, various tests were completed to extrapolate extinction coefficient ε or a calibration curves based on Beer-Lamberts Law. To characterize the absorbance conditions in a photobioreactor, a light distribution model was developed. From
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Fadlallah, Hadi, Mojtaba Jarrahi, Eric Herbert, Roselyne Ferrari, Annick Mejean, and Hassan Peerhossaini. "Effects of Shear Stress on the Growth Rate of Micro-Organisms in Agitated Reactors." In ASME 2016 Fluids Engineering Division Summer Meeting collocated with the ASME 2016 Heat Transfer Summer Conference and the ASME 2016 14th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fedsm2016-7590.

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The effects of hydrodynamic shear stress on the growth rate of cyanobacteria Synechocystis sp. and Chlamydomonas reinhardtii microalgae cells were studied in agitated photobioreactors, since they have different motility rates and sizes. An experimental setup was designed and constructed to monitor the growth rate of the micro-organisms versus the shear rate; experiments were carried out in a well controlled environment, under constant atmospheric pressure and 20 °C temperature. Digitally controlled magnetic agitator-photobioreactors were placed inside a closed chamber with air flow for 4 weeks
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