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Books on the topic 'Plant population genetics Mathematical models'

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Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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1

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.

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2

I, Li͡ubich I͡U. Mathematical structures in population genetics. Berlin: Springer-Verlag, 1992.

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3

Etheridge, Alison. Some Mathematical Models from Population Genetics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16632-7.

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4

Edwards, A. W. F. Foundations of mathematical genetics. 2nd ed. Cambridge, U.K: Cambridge University Press, 2000.

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5

Introduction to theoretical population genetics. Berlin: Springer-Verlag, 1992.

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6

Dynamic population models. Dordrecht: Springer, 2006.

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7

Population genetics of multiple loci. Chichester: Wiley, 2000.

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8

Bürger, R. The mathematical theory of selection, recombination, and mutation. Chichester: Wiley, 2000.

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9

Bürger, Reinhard. The mathematical theory of selection, recombination, and mutation. Chichester: John Wiley, 2000.

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10

M. C. M. de Gunst. A random model for plant cell population growth. [Amsterdam, the Netherlands]: Centrum voor Wiskunde en Informatica, 1989.

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11

Plätke, Rosemarie. Die Entstehung von Supergenen in unterteilten Populationen: Ein theoretischer Ansatz anhand eines Zwei-Locus-Modells. Krefeld: Marchal und Matzenbacher, 1986.

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12

V, Rădulescu, ed. Nonlinear PDEs: Mathematical models in biology, chemistry and population genetics. Heidelberg: Springer-Verlag, 2012.

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13

Populi͡a︡t͡s︡ionnai͡a︡ biometrii͡a︡. Moskva: "Nauka", 1991.

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14

Bosch, Frank van den. The velocity of spatial population expansion. [Amsterdam, Netherlands]: F. van den Bosch, 1990.

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15

A, Desharnais Robert, ed. Population dynamics and the Tribolium model: Genetics and demography. New York: Springer-Verlag, 1991.

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16

M, Svirezhev I͡U. Fundamentals of mathematical evolutionary genetics. Dordrecht: Kluwer Academic Publishers, 1990.

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17

Korolʹ, A. B. Recombination variability and evolution: Algorithms of estimation and population-genetic models. London: Chapman & Hall, 1994.

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18

Bürger, R. The mathematical theory of selection, recombination, and mutation. Chichester: Wiley, 2000.

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19

Dr, Matsumura Shuichi, Forster Peter 1967-, Renfrew Colin 1937-, McDonald Institute for Archaeological Research., and Alfred P. Sloan Foundation, eds. Simulations, genetics and human prehistory. Cambridge, UK: McDonald Institute for Archaeological Research, 2008.

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20

service), SpringerLink (Online, and École d'Été de Probabilités de Saint-Flour (39th : 2009), eds. Some Mathematical Models from Population Genetics: École d'Été de Probabilités de Saint-Flour XXXIX-2009. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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21

Voigt, Hans-Michael. Evolution and optimization: An introduction to solving complex problems by replicator networks. Berlin: Akademie-Verlag, 1989.

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22

1951-, Lessard Sabin, ed. Theoretical studies on sex ratio evolution. Princeton, N.J: Princeton University Press, 1986.

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23

González-Díaz, Humberto. Alignment-free models in plant genomics: Theoretical, experimental and legal issues. New York: Nova Science, 2010.

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24

1955-, Banzhaf Wolfgang, and Eeckman Frank H, eds. Evolution and biocomputation: Computational models of evolution. Berlin: Springer, 1995.

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25

Charlesworth, Brian. Evolution in age-structured populations. 2nd ed. Cambridge [England]: Cambridge University Press, 1994.

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26

Goel, Narendra S. Stochastic models in biology. Caldwell, N.J: Blackburn Press, 2003.

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27

Fitness landscapes and the origin of species. Princeton, N.J: Princeton University Press, 2004.

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28

H, Schierup Mikkel, and Wiuf Carsten, eds. Gene genealogies, variation and evolution: A primer in coalescent theory. Oxford: Oxford University Press, 2005.

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29

Herrmann, Samuel. Stochastic resonance: A mathematical approach in the small noise limit. Providence, Rhode Island: American Mathematical Society, 2014.

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30

Gregorius, H. R. Population Genetics in Forestry. Springer, 1986.

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31

Ewens, Warren J. Mathematical Population Genetics. Springer, 2004.

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32

Volobuev, Nikolaevich Andrey. Mathematical Genetics. Nova Science Publishers, Incorporated, 2014.

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33

Walsh, Bruce, and Michael Lynch. Evolution and Selection of Quantitative Traits. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.001.0001.

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Abstract:
Quantitative traits—be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene—usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important. Evolution and Selection of Quantitative Traits presents a holistic treatment of the subject, showing the interplay between theory and data with extensive discussions on statistical issues relating to the estimation of the biologically relevant parameters for these models. Quantitative genetics is viewed as the bridge between complex mathematical models of trait evolution and real-world data, and the authors have clearly framed their treatment as such. This is the second volume in a planned trilogy that summarizes the modern field of quantitative genetics, informed by empirical observations from wide-ranging fields (agriculture, evolution, ecology, and human biology) as well as population genetics, statistical theory, mathematical modeling, genetics, and genomics. Whilst volume 1 (1998) dealt with the genetics of such traits, the main focus of volume 2 is on their evolution, with a special emphasis on detecting selection (ranging from the use of genomic and historical data through to ecological field data) and examining its consequences. This extensive work of reference is suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of evolutionary biology, genetics, and genomics. It will also be of particular relevance and use to plant and animal breeders, human geneticists, and statisticians.
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34

Kojima, Ken-ichi. Mathematical Topics in Population Genetics. Springer, 2012.

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35

Schoen, Robert. Dynamic Population Models. Springer London, Limited, 2007.

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36

Schoen, Robert. Dynamic Population Models. Springer, 2010.

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37

Winther, Rasmus Grønfeldt. Phylogenetic Inference, Selection Theory, and History of Science: Selected Papers of A. W. F. Edwards with Commentaries. Cambridge University Press, 2018.

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38

Winther, Rasmus Grønfeldt. Phylogenetic Inference, Selection Theory, and History of Science: Selected Papers of A. W. F. Edwards with Commentaries. Cambridge University Press, 2018.

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39

Winther, Rasmus Grønfeldt. Phylogenetic Inference, Selection Theory, and History of Science: Selected Papers of A. W. F. Edwards with Commentaries. Cambridge University Press, 2018.

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40

Ghergu, Marius, and Vicentiu RADULESCU. Nonlinear PDEs: Mathematical Models in Biology, Chemistry and Population Genetics. Springer, 2011.

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41

Ghergu, Marius, and Vicentiu RADULESCU. Nonlinear PDEs: Mathematical Models in Biology, Chemistry and Population Genetics. Springer Berlin / Heidelberg, 2013.

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42

Nonlinear PDEs: Mathematical Models in Biology, Chemistry and Population Genetics. Springer, 2011.

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43

-R, Gregorius H., IUFRO Working Party, and Meeting of the IUFRO Working Party "Ecological and Population Genetics" (1984 : Gottingen), eds. 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.

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44

1947-, Arino Ovide, Axelrod David E. 1940-, Kimmel Marek 1959-, and International Conference on Mathematical Population Dynamics (2nd : 1989 : Rutgers University), eds. Mathematical population dynamics: Proceedings of the second international conference. New York: M. Dekker, 1991.

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45

Ueda, Minoru. Some models for evolution in geographically structured populations with selection and selective-migration. 1985.

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46

A Short History Of Mathematical Population Dynamics. Springer, 2010.

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47

Yamamura, Norio. Hanshoku senryaku no suri moderu (Dobutsu, sono tekio senryaku to shakai). Tokai Daigaku Shuppankai, 1986.

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48

Avner, Friedman, and Cosner Chris, eds. Tutorials in mathematical biosciences. Berlin: Springer-Verlag, 2008.

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49

Desharnais, Robert A., and Robert F. Costantino. Population Dynamics and the Tribolium Model: Genetics and Demography. Springer London, Limited, 2012.

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50

Desharnais, Robert A., and Robert F. Costantino. Population Dynamics and the Tribolium Model: Genetics and Demography. Springer, 2011.

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