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Статті в журналах з теми "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 (September 29, 2020): 6821. http://dx.doi.org/10.3390/app10196821.
Повний текст джерелаАнотація:
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 formulations and computational modeling of some of the light harvesting complexes including FMO. The most recent research developments in the photosynthetic light harvesting complexes are thoroughly discussed. The theoretical background related to the spectral density, quantum coherence and density functional theory has been elaborated. Furthermore, details about the transfer and excitation of energy in different sites of the FMO complex along with other vital photosynthetic light harvesting complexes have also been provided. Finally, we conclude this review by providing the current and potential applications in environmental science, energy, health and medicine, where such mathematical and computational studies of the photosynthesis and the light harvesting complexes can be readily integrated.
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García-Rodríguez, Luz del Carmen, Juan Prado-Olivarez, Rosario Guzmán-Cruz, Martín Antonio Rodríguez-Licea, Alejandro Israel Barranco-Gutiérrez, Francisco Javier Perez-Pinal, and Alejandro Espinosa-Calderon. "Mathematical Modeling to Estimate Photosynthesis: A State of the Art." Applied Sciences 12, no. 11 (May 30, 2022): 5537. http://dx.doi.org/10.3390/app12115537.
Повний текст джерелаАнотація:
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 such information in a single reference has not been found in the literature, so the objective of this manuscript is to analyze the most relevant mathematical models for the photosynthesis estimation and discuss their formulation, complexity, validation, number of samples, units of the input/output variables, and invasiveness in the estimation method. According to the state of the art reviewed here, 67% of the photosynthesis measurement models are mechanistic, 13% are empirical and 20% hybrid. These models estimate gross photosynthesis, net photosynthesis, photosynthesis rate, biomass, or carbon assimilation. Therefore, this review provides an update on the state of research and mathematical modeling of photosynthesis.
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Stirbet, Alexandrina, Dušan Lazár, Ya Guo, and Govindjee Govindjee. "Photosynthesis: basics, history and modelling." Annals of Botany 126, no. 4 (December 13, 2019): 511–37. http://dx.doi.org/10.1093/aob/mcz171.
Повний текст джерелаАнотація:
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’ (the Z-scheme), chemiosmotic hypothesis for ATP synthesis, water oxidation clock for oxygen evolution, steps for carbon fixation, and finally the diverse mechanisms of regulatory processes, such as ‘state transitions’ and ‘non-photochemical quenching’ of the excited state of chlorophyll a. Scope In this review, we emphasize that mathematical modelling is a highly valuable tool in understanding and making predictions regarding photosynthesis. Different mathematical models have been used to examine current theories on diverse photosynthetic processes; these have been validated through simulation(s) of available experimental data, such as chlorophyll a fluorescence induction, measured with fluorometers using continuous (or modulated) exciting light, and absorbance changes at 820 nm (ΔA820) related to redox changes in P700, the reaction centre of photosystem I. Conclusions We highlight here the important role of modelling in deciphering and untangling complex photosynthesis processes taking place simultaneously, as well as in predicting possible ways to obtain higher biomass and productivity in plants, algae and cyanobacteria.
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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 (March 2021): 93–109. http://dx.doi.org/10.1134/s2079086421020079.
Повний текст джерела
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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 (May 31, 2020): 3110. http://dx.doi.org/10.3390/s20113110.
Повний текст джерелаАнотація:
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 with two different vapor pressure deficit (VPD) levels, corresponding to nominal (low VPD) and off-nominal (high VPD) conditions. Under low VPD, the modified model accurately predicted the transpiration rate (RMSE = 0.10 Lm−2), edible biomass (RMSE = 6.87 g m−2), net-photosynthesis (rBIAS = 34%), and stomatal conductance (rBIAS = 39%). Under high VPD, the model overestimated photosynthesis and stomatal conductance (rBIAS = 76–68%). This inconsistency is likely due to the empirical nature of the original model, which was designed for nominal conditions. Here, applications of the modified model are discussed, and possible improvements are suggested based on plant morpho-physiological changes occurring in sub-optimal scenarios.
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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 (January 2, 2023): 17–33. http://dx.doi.org/10.5194/gmd-16-17-2023.
Повний текст джерелаАнотація:
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 issue is to analyse the routines which have the potential for improved computational efficiency and/or increased accuracy when applying sophisticated mathematical methods. In this paper, the Farquhar–Collatz photosynthesis model under water stress as implemented in the Lund–Potsdam–Jena managed Land DGVM (4.0.002) was examined. We additionally tested the uncertainty of most important parameter of photosynthesis as an additional approach to improve model quality. We found that the numerical solution of a nonlinear equation, so far solved with the bisection method, could be significantly improved by using Newton's method instead. The latter requires the computation of the derivative of the underlying function which is presented. Model simulations show a significantly lower number of iterations to solve the equation numerically and an overall run time reduction of the model of about 16 % depending on the chosen accuracy. Increasing the parameters θ and αC3 by 10 %, respectively, while keeping all other parameters at their original value, increased global gross primary production (GPP) by 2.384 and 9.542 GtC yr−1, respectively. The Farquhar–Collatz photosynthesis model forms the core component in many DGVMs and land surface models. An update in the numerical solution of the nonlinear equation in connection with adjusting globally important parameters to best known values can therefore be applied to similar photosynthesis models. Furthermore, this exercise can serve as an example for improving computationally costly routines while improving their mathematical accuracy.
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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 (September 2010): 201–11. http://dx.doi.org/10.1187/cbe.10-03-0040.
Повний текст джерелаАнотація:
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 the past 24 yr. We built this approach based upon a broad survey of literature in mathematical educational research that has convincingly demonstrated the utility of multiple models that involve physical, kinesthetic learning to actual data and interactive simulations. Two projects that use this approach are introduced: The Biological Excel Simulations and Tools in Exploratory, Experiential Mathematics (ESTEEM) Project ( http://bioquest.org/esteem ) and Numerical Undergraduate Mathematical Biology Education (NUMB3R5 COUNT; http://bioquest.org/numberscount ). Examples here emphasize genetics, ecology, population biology, photosynthesis, cancer, and epidemiology. Mathematical manipulative models help learners break through prior fears to develop an appreciation for how mathematical reasoning informs problem solving, inference, and precise communication in biology and enhance the diversity of quantitative biology education.
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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.
Повний текст джерелаАнотація:
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 conditions based on a mathematical model of photosynthesis. The authors introduced the value of the efficiency of additional illumination and studied its dependence on the coefficient of light transmission of the roof.
The solution of the main task of the study is achieved by the fact that the light mode in protected ground structures is carried out on the basis of additional illumination to the ideal (optimal) for this type of plant. The entered value of the efficiency of additional illumination shows what energy costs will be for the production of photosynthesis products and, as a result, allows estimation of the economic costs.
The considered method of artificial lighting of plants makes it possible to effectively use both sunlight and artificial lighting, providing an optimal lighting mode all year round, and allows to increase the intensity of photosynthesis by 50-80 %.
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Töpfer, Nadine. "Environment-coupled models of leaf metabolism." Biochemical Society Transactions 49, no. 1 (January 25, 2021): 119–29. http://dx.doi.org/10.1042/bst20200059.
Повний текст джерелаАнотація:
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 various aspects of photosynthesis, carbon and nitrogen assimilation and metabolism, aided suggesting metabolic intervention strategies for optimized leaf performance, and gave us insights into evolutionary drivers of plant metabolism in various environments. With the increasing pressure to improve agricultural performance in current and future climates, these models have become important tools to improve our understanding of plant–environment interactions and to propel plant breeders efforts. This overview article reviews applications of large-scale metabolic models of leaf metabolism to study plant–environment interactions by means of flux-balance analysis. The presented studies are organized in two ways — by the way the environment interactions are modelled — via external constraints or data-integration and by the studied environmental interactions — abiotic or biotic.
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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 (June 27, 2020): 56–67. http://dx.doi.org/10.5216/rbn.v17i1.61889.
Повний текст джерелаАнотація:
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 reactions occurred and organic products such as petroleum arose abiotically. These products gave origin to organic chemistry and drastically reduced the concentration of CO2 and elevated O2 in the atmosphere. In the current plants, for each O2 produced in the photochemical step of photosynthesis, one CO2 is assimilated in the biochemical step. Supported by this relationship and by the results presented in this work, it can be inferred that the first photosynthetic organisms originated on Earth when the concentration of CO2 was possibly at a concentration below 1000 ppm. Biochemistry started with these organisms. The results suggest that the reduction in CO2 concentration was linear in relation to the age of the Earth, before the origin of photosynthetic organisms. This relationship changed with origin of these organisms, due to the major changes that occurred in the environment. There is evidence that in certain periods, CO2 concentrations have been reduced below the CO2 compensation point for certain plants resulting in the extinction of these plants and the organisms that depended on them.
Дисертації з теми "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/.
Повний текст джерелаАнотація:
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 desfolhação baseadas em interceptação luminosa ou calendário, visando estabelecer uma base racional de manejo e observando o sistema sob o ponto de vista fisiológico da planta e da praticidade do manejo. Além disso, descreve-se as respostas morfo-fisiológicas das plantas e verificando suas relações, com as variações na produção influenciadas pelos tratamentos. O estudo foi realizado na Escola Superior de Agricultura "Luiz de Queiroz", campus da USP localizado em Piracicaba - SP, numa área de Nitossolo Vermelho Eutroférrico, estabelecida com capim Brachiaria brizantha cv. Xaraés, onde foram avaliadas as características agronômicas, morfológicas e fisiológicas deste, tais como produção de forragem, taxas de fotossíntese, índice de área foliar (IAF), interceptação luminosa (IL), ângulos foliares. O delineamento experimental foi inteiramente casualizado com três tratamentos e três repetições, totalizando nove unidades experimentais (piquetes) de 120 m² cada, as quais foram pastejadas por grupos de animais sempre que a IL do dossel chegasse a 95%, ou a 100% ou a cada 28 dias. As estratégias de pastejo apresentaram diferentes acúmulos totais de forragem durante o verão. O tratamento 100% de IL, devido à sua menor freqüência, garantiu à comunidade vegetal um maior intervalo de desfolhações e, conseqüentemente, maior período de crescimento, propiciando maiores acúmulos (22.760 kg MS ha-1) de forragem em relação aos tratamentos 95 % de IL e 28 dias (17.700 kg MS ha-1). Os tratamentos baseados em IL apresentaram alturas de prépastejo, próximas das suas respectivas médias, nas respectivas interceptações luminosas. Isso sugere que a altura pode ser usada como uma ferramenta manejo, o que é confirmado pela sua correlação entre altura e IL para todos os tratamentos (r=0,84). Esta mesma relação ocorre com os valores de IAF (r=0,92), que ao longo do experimento mostrou-se, consistentemente, relacionado aos valores de IL (r=0,92), em todos os tratamentos. No tratamento de maior freqüência (95% de IL) o potencial fotossintético manteve-se máximo do dia médio até o pré-pastejo, devido ao menor intervalo de pastejo e à manutenção de menor área foliar média (2,08) o que propiciou um bom ambiente luminoso, minimizando a competição por luz. Dessa forma, o manejo mais adequado seria aquele que proporciona os maiores valores de fotossíntese de dossel ao longo do ciclo.Yield formation in pastures is a complex process at it involves factors of both physiological and morphological nature, as well as interactions among them. By understanding individual processes and how they interact it is possible to assess the assimilatory potential of the sward, using through modeling and simulation. The objective of this research was to evaluate the agronomic performance and to model the photosynthetic potential of vegetative swards of Xaraés palisadegrass as a function of canopy architecture and light environment, in pastures under intermittent grazing, where defoliation frequency was dictated either by levels of light interception or by chronological time, in order to try to rationalize management practices under a physiological standpoint and operational practicity. In addition, plant morphological and physiological responses were described in terms of their mutual interplay, as treatments ultimately affected forage yield. The study was conducted at Escola Superior de Agricultura "Luiz de Queiroz", USP campus in Piracicaba, SP, on a kandiudalfic euthrudox using a one-year-old pasture of Xaraés palisadegrass where agronomic, morphological and physiological traits, such as foraqe yield, photosynthesis, leaf area index (LAI), light interception (LI) and leaf angles were studied. The experimental design was completely randomized with three treatments and three replications, for a total of nine experimental units (paddocks) of 120 m² each, which were mob grazed whenever canopy light interception reached 95% or 100%, or every 28 days. Grazing strategies resulted in different seasonal forage yields. The 100% LI treatment made for longer rest periods and less frequent defoliations, resulting in highest (22,760 kg DM ha -1) forage productivity, compared with the 95% LI and the 28-d treatments (mean 17,700 kg DM ha-1). LI-based treatments resulted in less variable pregraze sward heights than the calendar-based treatment, and this suggests that sward height may be successfully used as a management guide. Across treatments sward height was highly correlated with LI (r=0.84) and with LAI (r=0.92) in all treatments, and so were LAI and LI (r= 0.95). Grazed at a higher frequency (95% LI) the canopy responded with maximum levels of assimilation from the midpoint to the end of the rest period, probably due to a lower mean LAI (2.08), which made for a favorable environment and less competition for light. Thus, optimal management seems to be related with higher canopy photosynthesis during the rest period.
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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.
Повний текст джерелаАнотація:
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.
Повний текст джерелаАнотація:
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 between reduced stomatal conductance and canopy scale water-use efficiency (ratio of instantaneous net canopy photosynthesis to total canopy evaporation).
A multi-disciplinary research project was established with two large paddocks of wheat with cultivars of contrasting leaf-scale water-use efficiency, due to inherent differences in stomatal conductance. Intensive measurements were made of C02 and H20 fluxes at leaf and canopy scales. Different stomatal conductances at the leaf scale were reflected at the. canopy scale, although their effects on transpiration were reduced due to canopy boundary layers and soil evaporation. Comparison of scaling from leaf to canopy in the two crops was complicated by their different leaf area indices. To facilitate scaling from leaves to canopies, models of stomatal conductance, leaf photosynthesis and radiation penetration in canopies were used. A comparison of several models of conductance with field data found that using the correlation of conductance with photosynthesis was the best approach. The same model was found to work equally well at the canopy scale, using parameters derived from leaf
scale data. Canopy photosynthesis was modelled with a biochemical model of leaf photosynthesis incorporated into different integration schemes. A canopy model which divided the canopy into a single layer of sunlit and shaded leaves was found to be as accurate as a multi-layer model, but simpler and allowed incorporation of within-canopy profiles of photosynthetic capacity. A big-leaf model of canopy photosynthesis was
found acceptable if tuned, but the uncertainties increased when it was used to predict responses of canopies with different properties. Photosynthetic capacity, the main parameter of the canopy photosynthesis model, was found to decrease during the day under conditions of mild water stress at both the leaf and canopy scale. Combined models of photosynthesis, conductance and energy balance accurately described diurnal variation of canopy gas exchange. The model predicted that a 40% reduction in stomatal conductance would result in 36% greater leaf transpiration efficiency and 19% greater canopy transpiration efficiency (ratio of gross canopy
photosynthesis to canopy transpiration) which compared favourably with field measurements, but depended on the magnitude of the conductance and wind speed. Measurements of air temperature, humidity and surface temperature along a transect
across the interface between the two crops with different evaporation rates, showed that
advection did occur, but that it had minimal impact on canopy fluxes. It was concluded that reduced stomatal conductance does result in reduced transpiration and better transpiration efficiency at the canopy scale, but that canopy
boundary layers and greater soil evaporation reduce the benefit. In this case reduced conductance was also accompanied by greater yield, although this result depends on the availability of soil water. The models presented were an effective tool for scaling nonlinear
physiological processes from leaves to canopies and provide a useful framework for assessing the impact of climate change on vegetation.
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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.
Повний текст джерелаАнотація:
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 model of Farquhar, von Caemmerer & Berry (1980) based on the leaf intercellular CO, concentration (Ci) are incorrect for leaves where gi limits photosynthesis. I show how conventional A-C, curve (net CO2 assimilation rate of a leaf - An - as a function of Ci) fitting methods which rely on a rectangular hyperbola model under the assumption of infinite gi can significantly underestimate Vcmax for such
leaves. Alternative V., parameterisations of the conventional method based on a single, apparent Michaelis-Menten constant for CO, evaluated at C; and used for all C3 plants are also found to be inaccurate since the relationship between Vcmax and g; is not conserved among species. To address this problem, I present an alternative curve fitting method that accounts for gi through a non-rectangular hyperbola version of the model of Farquhar et al. (1980).
Current estimates of a central Farqhuar et al. (1980) model parameter, Kc(1+O/K0) (effective Michaelis-Menten constant for CO2), vary 4-fold, making it very difficult to justify any single value for the parameterisation of large scale, pan-species LSM studies. Following on previous work published over two decades ago, I demonstrate that the current range of Kc(1+O/K0) values chosen for LSMs is partly an artefact of many inaccurate in vitro determinations, and results in widely different estimates of An for given Vcmac values. Once corrected, the average Kc(1 +O/Ko) value determined in vitro for C, plants is essentially identical to the two in vivo values published to date, but considerable variation within the data set remains due to the poor accuracy of the in vitro determinations. The new A-Ci curve fitting method elaborated in this study suggests new ways of obtaining in vivo estimates of Rubisco's kinetic constants, as I demonstrate through a well-documented example.
The CO, transfer conductance was originally considered to be a constitutional property of a leaf related to its internal anatomy. This study provides the first estimates of gi in a coniferous species and examines variation in gi through time and space in relation to anatomical and physiological traits. Gas exchange measurements and subsequent novel A-Ci curve analyses, as well as stable carbon isotope, nitrogen (N), protein, and pigment analyses, were made on upper and lower canopy, current- to 4-year-old needles of 50-year-old Pseudotsuga menziesii trees. During the first growing season, needle thickness and leaf mass per area decreased by 30% from the top to bottom of the canopy. These anatomical changes were accompanied by modest variation in area-based estimates of g , but no causal link could be established between anatomical traits and mass-based estimates of gi, whether in current-
year or older foliage. Both gi and the stomata] conductance of leaves were closely coupled to Vcmax, Jmax, and An with all variables decreasing with increasing leaf age. The N content of leaves, as well as the amount of Rubisco and other proteins, increased during the first three growing seasons, then stabilised afterwards. Thus, the age-related photosynthetic nitrogen use efficiency decline of leaves was not a consequence of decreased allocation of nitrogen towards Rubisco and other proteins. Rather, loss of photosynthetic capacity was the result of the decreased activation state of Rubisco and proportional down-regulation of electron transport towards the photosynthetic carbon reduction and photorespiratory cycles in response to a reduction of CO, supply to the chloroplasts' stroma.
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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.
Повний текст джерелаАнотація:
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 education. The present thesis was accomplished on the basis of participation of the Department of Experimental Plant Biology of Faculty of Science of Charles University in Prague in international project NSF within programme GLOBE - The Carbon Cycle. The present thesis is divided into two parts - theoretical part and practical part. The theoretical part includes a literary review and an introduction to the mathematical modelling (in software Stella) that are elaborated considering the teaching purposes and serve as a theoretical background for practical part of present thesis. The chapters that deal with increasing interest in mplementing of modelling in education and with philosophical background of software...
Книги з теми "Photosynthesis mathematical models"
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Caemmerer, S. Von. Biochemical models of leaf photosynthesis. Collingwood, VIC: 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. Pushchino: Nauch. t͡sentr biologicheskikh issledovaniĭ AN SSSR v Pushchine, 1989.
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Caemmerer, S. Von. Techniques in Plant Sciences Vol. 2: Biochemical Models. CSIRO Publishing, 2000.
Знайти повний текст джерелаЧастини книг з теми "Photosynthesis mathematical models"
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Rubin, Andrew, and Galina Riznichenko. "Generalized Kinetic Model of Primary Photosynthetic Processes." In Mathematical Biophysics, 187–201. Boston, MA: 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, 281–84. Boston, MA: 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, 141–55. Boston, MA: 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, 59–69. Cham: 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, 3255–66. De Gruyter, 1996. http://dx.doi.org/10.1515/9783110883237.3255.
Повний текст джерелаТези доповідей конференцій з теми "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.
Повний текст джерелаАнотація:
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 example shows that it is possible to conduct quite serious scientific research at the intersection of plant physiology and electric power engineering, which allows us to create modern self-adjusting systems for automatic microclimate control when growing plants. Application of engineering methods allows to increase the efficiency of development of information systems for automatic control of parameters of the most important physiological processes (photosynthesis, transpiration, etc.) in plants under the influence of environmental factors. The article outlines the prospects for the development of the subject area of engineering in the direction of solving specific problems to integrated energy engineering, and the energy business - from trading individual services to trading models and technologies.
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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. Pushchino: 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.
Повний текст джерелаАнотація:
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 the basis of an external radiated light system, a single-source system was developed. Mathematical expressions for the local light intensity and the average light intensity were derived for a cylindrical photobioreactor with external sources, single internal sources, and multiple internal sources. The proposed model was used to predict the light absorbance values inside an externally and internally radiated photobioreactor using Nannochloropsis Oculata. The effects of cell density and light path length were interpreted through experimental and model simulation studies. The predicted light intensity values were found to be within +/− 7% to those obtained experimentally. This level of accuracy could be better improved with more testing and more precise instrumentation. Due to the simplicity and flexibility of the proposed model, it was also possible to predict the light conditions in other complex multiple light source photobioreactors.
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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.
Повний текст джерелаАнотація:
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, under a uniform full-time light intensity provided by two 6-watt white fluorescent light sources. To study the effects of shear stress produced by mechanical agitation on the growth rate of a micro-organism, different agitation frequencies were tested. All reactors were filled with 150 ml of culture medium and micro-organism suspension, with initial dilution factors (mlsuspenion/mltotal volume) of 1/30 and 1/300 for Synechocystis and C. reinhardtii respectively. The vessels were placed on different agitating systems at the desired agitator rotation speed, and were sealed with a cotton membrane from the top in order to permit air exchange with the external environment. The micro-organisms’ growth was monitored daily by measuring the optical density of the suspensions using a spectrophotometer and was then correlated with the cellular concentration, which was measured in turn using a microscopic cell counter. Throughout the experiments pH levels and temperature were measured regularly and adjusted to 7 and 20 °C respectively in order to maintain the photosynthetic activity of the species. In addition, to measure the shear stress inside the agitated reactors, a mathematical model was derived to determine the global shear stress magnitude. To determine the local shear stress distribution, the velocity field in the reactor was measured for different agitation frequencies using PIV. Different zones of high and low shear stress were identified. The results showed that the growth rate is independent of the shear stress magnitude for Synechocystis; Synechocystis showed strong resistance, unlike C. reinhardtii, which showed linear dependence of growth rate and shear stress.