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Статті в журналах з теми "Plant population genetics Mathematical models"
Peck, Joel R., Guillaume Barreau, and Simon C. Heath. "Imperfect Genes, Fisherian Mutation and the Evolution of Sex." Genetics 145, no. 4 (April 1, 1997): 1171–99. http://dx.doi.org/10.1093/genetics/145.4.1171.
Повний текст джерелаEvans, G. M., and Taing Aung. "Identification of a diploidizing genotype of Lolium multiflorum." Canadian Journal of Genetics and Cytology 27, no. 5 (October 1, 1985): 498–505. http://dx.doi.org/10.1139/g85-074.
Повний текст джерелаAdams, B. M., H. T. Banks, J. E. Banks, and J. D. Stark. "Population dynamics models in plant–insect herbivore–pesticide interactions." Mathematical Biosciences 196, no. 1 (July 2005): 39–64. http://dx.doi.org/10.1016/j.mbs.2004.09.001.
Повний текст джерелаDingkuhn, Michael, Delphine Luquet, Benedicte Quilot, and Philippe de Reffye. "Environmental and genetic control of morphogenesis in crops: towards models simulating phenotypic plasticity." Australian Journal of Agricultural Research 56, no. 11 (2005): 1289. http://dx.doi.org/10.1071/ar05063.
Повний текст джерелаGubbins, Simon, and Christopher A. Gilligan. "Biological control in a disturbed environment." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 352, no. 1364 (December 29, 1997): 1935–49. http://dx.doi.org/10.1098/rstb.1997.0180.
Повний текст джерелаOryokot, Joseph O. E., Stephen D. Murphy, A. Gordon Thomas, and Clarence J. Swanton. "Temperature- and moisture-dependent models of seed germination and shoot elongation in green and redroot pigweed (Amaranthus powellii, A. retroflexus)." Weed Science 45, no. 4 (August 1997): 488–96. http://dx.doi.org/10.1017/s0043174500088718.
Повний текст джерелаThompson, Robin N., and Ellen Brooks-Pollock. "Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1775 (May 6, 2019): 20190038. http://dx.doi.org/10.1098/rstb.2019.0038.
Повний текст джерелаXiao, Sa, Shu-Yan Chen, and Gang Wang. "An ESS for the Height of a Plant Population, or an Optimal Height for an Individual?—Rethinking Game-Theoretic Models for Plant Height." Bulletin of Mathematical Biology 68, no. 4 (April 8, 2006): 957–67. http://dx.doi.org/10.1007/s11538-006-9073-0.
Повний текст джерелаBenson, Lee, Ross S. Davidson, Darren M. Green, Andrew Hoyle, Mike R. Hutchings, and Glenn Marion. "When and why direct transmission models can be used for environmentally persistent pathogens." PLOS Computational Biology 17, no. 12 (December 1, 2021): e1009652. http://dx.doi.org/10.1371/journal.pcbi.1009652.
Повний текст джерелаTrozzi, Francesco, Feng Wang, Gennady Verkhivker, Brian D. Zoltowski, and Peng Tao. "Dimeric allostery mechanism of the plant circadian clock photoreceptor ZEITLUPE." PLOS Computational Biology 17, no. 7 (July 26, 2021): e1009168. http://dx.doi.org/10.1371/journal.pcbi.1009168.
Повний текст джерелаДисертації з теми "Plant population genetics Mathematical models"
Pereira, Renato Nunes. "Modelo hierárquico bayesiano na determinação de associação entre marcadores e QTL em uma população F2." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-25042012-161429/.
Повний текст джерелаThe objective of the mapping of quantitative trait loci (QTL) is to identify its position in the genome, ie, identify which chromosome is and what is its location in the chromosome, as well as to estimate their genetic eects. Since the location of QTL are not known a priori, markers are often used to assist in it mapping. Some markers may be closely linked to one or more QTL, and thus they may show a strong association with the phenotypic trait. The genetic eect of QTL and the phenotypic values of a quantitative trait are usually described by a linear model. Since the QTL locations are not known a priori, markers are used to represent them. Generally is used a large number of markers. These markers are used in the linear model to make the process of association and thus the model specied contains a large number of parameters to be estimated. However, it is expected that many of these parameters are not signicant, requiring a special treatment. In Bayesian estimation this problem is treated through structure priori distribution used. A parameter that is expected to assume the value zero (not signicant) is naturally specied by means of a distribution that put more weight at zero, bayesian shrinkage. This paper proposes the use of two models using priori distributions to shrinkage. One of the models is related to the use of priori distribution Laplace (bayesian Lasso) and the other with Horseshoe (Horseshoe Estimator). To evaluate the performance of the models to determine the association between markers and QTL, we performed a simulation study. We analyzed the association between markers and QTL using three phenotypic traits: grain yield, ear height and plant height. We compared the results obtained in this study with analyzes in the literature on the detection of markers associated with these characteristics. The computational implementation of the algorithms was done using the C language and executed the statistical package R. The program is implemented in C languages presented and made available. Due to the interaction between the programming languages C and R, it was possible execute the program in the environment R.
Lundy, Ian J. "Theoretical population genetics of spatially structured populations /." Title page, contents and summary only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09phl962.pdf.
Повний текст джерелаKOT, MARK. "THE EFFECTS OF PARAMETRIC EXCITATION AND OF DISPERSAL ON THE DYNAMICS OF DISCRETE-TIME POPULATION MODELS." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/184074.
Повний текст джерелаGayley, Todd Warwick. "Genetic models of two-phenotype frequency-dependent selection." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184883.
Повний текст джерелаGryspeirt, Aiko. "Impact des plantes Bt sur la biologie de Plodia interpunctella: évaluation de l'efficacité de la stratégie agricole "Haute dose - refuge" pour la gestion de la résistance des insectes ravageurs aux plantes Bt." Doctoral thesis, Universite Libre de Bruxelles, 2008. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210542.
Повний текст джерелаMon projet de recherche s’inscrit dans le cadre de l’évaluation de l'efficacité de cette stratégie et s’articule en deux phases :une phase expérimentale et une phase théorique. La première se concentre sur la caractérisation en laboratoire de l'impact des toxines Cry sur la biologie d'un ravageur. Cette phase constitue un support au volet théorique :la mise au point d’un modèle mathématique évaluant l'efficacité de la stratégie HD/R. L'originalité de ce projet repose entre autre sur l'interactivité entre ces deux volets.
Volet expérimental. Impact des toxines Cry sur la biologie de Plodia interpunctella. Nous évaluons séparément l'impact d'une gamme de concentrations de deux toxines Cry (CryXX et CryYY) sur une série de paramètres comportementaux et biologiques d'un insecte commun des denrées stockées: Plodia interpunctella (Hübner) (Lepidoptera :Pyralidae). Ces paramètres sont sélectionnés car leur variation pourrait avoir un impact sur l'efficacité de la stratégie HD/R dans le contrôle de la résistance. Il est donc pertinent de les quantifier pour intégrer dans le modèle des ordres de grandeur réalistes et générer des résultats qui ne sont pas uniquement basés sur des spéculations théoriques.
Volet théorique A. Efficacité de la stratégie HD/R pour des plantes Bt synthétisant une ou deux toxines simultanément. La stratégie 'HD/R' a été développée pour prévenir la résistance envers les plantes Bt synthétisant une seule toxine. Or, depuis 2003, de nouvelles variétés de coton Bt synthétisant simultanément deux toxines Cry sont commercialisées (BollgardII® et WidestrikeTM). Nous évaluons, grâce au modèle que nous avons développé, l'efficacité de cette stratégie lors d'une utilisation exclusive de plantes Bt synthétisant une ou deux toxines.
Volet théorique B. Impact du ralentissement du développement des insectes sur les plantes Bt sur l'efficacité de la stratégie HD/R. Le volet expérimental met en évidence un allongement de la durée du développement des larves se nourrissant sur une diète contaminée en toxine Cry. Ce ralentissement induit une séparation temporelle entre l'émergence des adultes de la zone Bt et de la zone refuge et perturbe une hypothèse principale de la stratégie HD/R: le croisement aléatoire entre adultes, indépendamment du génotype et de la zone d'origine. Dans ce troisième chapitre, nous étudions l'impact de la perturbation du croisement aléatoire sur l'efficacité de la stratégie HD/R. Nous testons également deux options pour optimiser la stratégie en cas d'asynchronie: l'utilisation de plantes Bt synthétisant une faible concentration en toxine (atténuant le décalage entre l'émergence des adultes) ou l'augmentation de la taille de la zone refuge (favorisant la survie des individus porteurs d'allèle de sensibilité et donc optimisant la dilution de la résistance à la génération suivante).
Ce travail s'intègre dans une problématique actuelle et utilise des outils de biologie théorique (théories de la dynamique et de la génétique des populations) ainsi que le développement d'un modèle mathématique. Il apporte des éléments de réponse et de réflexion sur l'optimisation de la gestion de la résistance des insectes mais c'est aussi une illustration de la complémentarité entre la biologie expérimentale et théorique.
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On the market since 1996, genetically modified plants synthesizing an insecticidal toxin (Cry toxin) stemmed from Bacillus thuringiensis, called Bt plants, target several insect pests (Lepidoptera or Coleoptera). Bt crops cover increasingly larger areas and control important pest populations The Insect Resistance Management Strategy (IRM) strategy currently recommended in the U.S.A. to limit the development of resistant populations is the High Dose / Refuge zone (HD/R) strategy. This pre-emptive strategy requires a refuge zone composed by non-Bt plants, usable by the target insect and in close proximity of the Bt zone synthesizing a high toxin concentration.
My research project contributes to the effectiveness assessment of this HD/R strategy. It is structured on two main parts: an experimental, and a theoretical section. The first part characterizes the impact of Cry toxins on the biology of an insect pest. It is the basis of the theoretical part: the implementation of a mathematical model, which evaluates the effectiveness of the HD/R strategy.
The originality of this project is based on the interactivity of these two components.
Experimental section. Impact of the Cry toxins on the biology of Plodia interpunctella. We assess the impact of a range of concentrations of two Cry toxins (CryXX et CryYY) on several behavioural and biological parameters of a common pest of stored products: Plodia interpunctella (Hübner) (Lepidoptera :Pyralidae). These parameters are selected because their variation could influence the effectiveness of a HD/R strategy. So, it is important to quantify these parameters so that realistic values can be integrated in our model. The results of the model are thus not based on theoretical assumptions alone.
Theoretical section A. Effectiveness of a HD/R strategy with Bt plants synthesizing one or two toxins. Initially, the HD/R strategy has been developed to limit the resistance towards Bt plants synthesizing one toxin. However, since 2003, new Bt cotton varieties synthesize two toxins simultaneously (BollgardII® et WidestrikeTM). We assess, with our model, the effectiveness of this strategy for Bt plants synthesizing one or two toxins.
Theoretical section B. Impact of the slowing down of the insect development reared on Bt plants on the effectiveness of the HD/R strategy. The experimental part demonstrates that larvae reared on a Bt diet have a protracted development duration. The consequence of this is a temporal separation between adult emergence in the two zones (Bt zone and refuge zone). This could affect the main assumption of the HD/R strategy, i. e. random mating independently of the genotype and of the native zone. In this third chapter, we study the impact of random mating disruption on the effectiveness of a HD/R strategy. We test two options to optimise the strategy in case of asynchrony: the use of Bt plants synthesizing a lower toxin concentration (limiting emergence asynchrony) or increasing the refuge zone size (favouring the survival of insect carrying one or two susceptible allele and thus optimising the dilution of resistance at the next generation).
This work is applied to a current issue. It uses some of the tools of theoretical biology (theories of population dynamics and population genetics) and develops a mathematical model. It provides some responses and some elements of thought about insect resistance management. It is also an illustration of the complementarity between experimental and theoretical biology.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished
Tran, Tat Dat. "Information Geometry and the Wright-Fisher model of Mathematical Population Genetics." Doctoral thesis, Universitätsbibliothek Leipzig, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-90508.
Повний текст джерелаArpin, Sheree. "Using Mathematical Models to Investigate Phenotypic Oscillations in Cichlid Fish: A Case of Frequency-dependent Selection." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/195981.
Повний текст джерелаBallard, Todd Curtis. "Mathematical Models of Zea mays: Grain Yield and Aboveground Biomass Applied to Ear Flex and within Row Spacing Variability." TopSCHOLAR®, 2008. http://digitalcommons.wku.edu/theses/41.
Повний текст джерелаKean, J. M. "Metapopulation theory in practice." Lincoln University, 1999. http://hdl.handle.net/10182/1372.
Повний текст джерелаAston, Christopher Eric. "Statistical models for multilocus structures." Phd thesis, 1985. http://hdl.handle.net/1885/141088.
Повний текст джерелаКниги з теми "Plant population genetics Mathematical models"
IUFRO Working Party "Ecological and Population Genetics". Meeting. Population genetics in forestry: Proceedings of the meeting of the IUFRO Working Party "Ecological and Population Genetics" held in Göttingen, August 21-24, 1984. Berlin: Springer-Verlag, 1985.
Знайти повний текст джерелаI, Li͡ubich I͡U. Mathematical structures in population genetics. Berlin: Springer-Verlag, 1992.
Знайти повний текст джерелаEtheridge, Alison. Some Mathematical Models from Population Genetics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16632-7.
Повний текст джерелаEdwards, A. W. F. Foundations of mathematical genetics. 2nd ed. Cambridge, U.K: Cambridge University Press, 2000.
Знайти повний текст джерелаIntroduction to theoretical population genetics. Berlin: Springer-Verlag, 1992.
Знайти повний текст джерелаDynamic population models. Dordrecht: Springer, 2006.
Знайти повний текст джерелаPopulation genetics of multiple loci. Chichester: Wiley, 2000.
Знайти повний текст джерелаBürger, R. The mathematical theory of selection, recombination, and mutation. Chichester: Wiley, 2000.
Знайти повний текст джерелаBürger, Reinhard. The mathematical theory of selection, recombination, and mutation. Chichester: John Wiley, 2000.
Знайти повний текст джерелаM. C. M. de Gunst. A random model for plant cell population growth. [Amsterdam, the Netherlands]: Centrum voor Wiskunde en Informatica, 1989.
Знайти повний текст джерелаЧастини книг з теми "Plant population genetics Mathematical models"
Ewens, Warren J. "Discrete Stochastic Models." In Mathematical Population Genetics, 92–135. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-0-387-21822-9_3.
Повний текст джерелаLyubich, Yuri I., and Ethan Akin. "Elementary Models." In Mathematical Structures in Population Genetics, 23–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76211-6_2.
Повний текст джерелаNeuhauser, C. "Mathematical Models in Population Genetics." In Handbook of Statistical Genetics, 753–80. Chichester, UK: John Wiley & Sons, Ltd, 2008. http://dx.doi.org/10.1002/9780470061619.ch22.
Повний текст джерелаEtheridge, Alison. "Introduction." In Some Mathematical Models from Population Genetics, 1–3. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16632-7_1.
Повний текст джерелаEtheridge, Alison. "Mutation and Random Genetic Drift." In Some Mathematical Models from Population Genetics, 5–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16632-7_2.
Повний текст джерелаEtheridge, Alison. "One Dimensional Diffusions." In Some Mathematical Models from Population Genetics, 33–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16632-7_3.
Повний текст джерелаEtheridge, Alison. "More than Two Types." In Some Mathematical Models from Population Genetics, 53–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16632-7_4.
Повний текст джерелаEtheridge, Alison. "Selection." In Some Mathematical Models from Population Genetics, 65–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16632-7_5.
Повний текст джерелаEtheridge, Alison. "Spatial Structure." In Some Mathematical Models from Population Genetics, 89–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16632-7_6.
Повний текст джерелаNeuhauser, C. "Mathematical Models in Population Genetics." In Handbook of Statistical Genetics. Chichester: John Wiley & Sons, Ltd, 2004. http://dx.doi.org/10.1002/0470022620.bbc20.
Повний текст джерела