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Książki na temat „Quantitative traits”

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Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 6 lipca 2024

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1

1957-, Walsh Bruce, red. Genetics and analysis of quantitative traits. Sunderland, Mass: Sinauer, 1998.

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Kearsey, Michael J., i Harpal S. Pooni. The Genetical Analysis of Quantitative Traits. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-4441-2.

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Bernardo, Rex Novero. Breeding for quantitative traits in plants. Wyd. 2. Woodbury, Minn: Stemma Press, 2010.

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Breeding for quantitative traits in plants. Woodbury, Minn: Stemma Press, 2002.

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S, Pooni Harpal, red. Th e genetical analysis of quantitative traits. Cheltenham: Stanley Thornes, 1998.

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Salinas-Garcia, Gilberto Eduardo. Mapping quantitative trait loci controlling agronomic traits in Brassica napus L. Birmingham: University of Birmingham, 1996.

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Sokolović, Dejan, Christian Huyghe i Jasmina Radović, red. Quantitative Traits Breeding for Multifunctional Grasslands and Turf. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9044-4.

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Simons, Yuval Benjamin. Population Genetics of Mutation Load and Quantitative Traits in Humans. [New York, N.Y.?]: [publisher not identified], 2019.

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Phillimon-Banda, Mackson Henrie. Quantitative studies of production traits in sunflower (Helianthus annuus L.). Birmingham: University of Birmingham, 1999.

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1955-, Saxton Arnold Myron, i SAS Institute, red. Genetic analysis of complex traits using SAS. Cary, N.C: SAS Institute, 2004.

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Badaloo, Mohammad Goolam Houssen. Quantitative genetics of sugar cane: Cross evaluation for major agronomic and morphological traits. Birmingham: University of Birmingham, 1997.

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Camp, Nicola J., i Angela Cox. Quantitative Trait Loci. New Jersey: Humana Press, 2002. http://dx.doi.org/10.1385/1592591760.

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Nōrin Suisan Gijutsu Kaigi. Jimukyoku., red. Genomu ikushu ni yoru kōritsuteki hinshu ikusei gijutsu no kaihatsu, QTL idenshi kaiseki no suishin =: Genetic and molecular dissection of quantitative traits in rice. Tōkyō: Nōrin Suisan Gijutsu Kaigi Jimukyoku, 2009.

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Nōrin Suisan Gijutsu Kaigi. Jimukyoku., red. Genomu ikushu ni yoru kōritsuteki hinshu ikusei gijutsu no kaihatsu, QTL idenshi kaiseki no suishin =: Genetic and molecular dissection of quantitative traits in rice. Tōkyō: Nōrin Suisan Gijutsu Kaigi Jimukyoku, 2009.

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15

Rifkin, Scott A., red. Quantitative Trait Loci (QTL). Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-785-9.

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16

Weller, J. I., red. Quantitative trait loci analysis in animals. Wallingford: CABI, 2009. http://dx.doi.org/10.1079/9781845934675.0000.

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Weller, J. I., red. Quantitative trait loci analysis in animals. Wallingford: CABI, 2001. http://dx.doi.org/10.1079/9780851994024.0000.

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Weller, Joel Ira. Quantitative trait loci analysis in animals. Oxon, UK: CABI Pub., 2001.

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Weller, Joel Ira. Quantitative trait loci analysis in animals. Wyd. 2. Cambridge, MA: CABI North American Office, 2009.

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J, Camp Nicola, i Cox Angela 1961-, red. Quantitative trait loci: Methods and protocols. Totowa, N.J: Humana Press, 2002.

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21

Mostafavi, Hakhamanesh. Quantitative trait variation and adaptation in contemporary humans. [New York, N.Y.?]: [publisher not identified], 2019.

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Lantbruksuniversitet, Sveriges, red. Genome analysis of quantitative trait loci in the pig. Uppsala: Sveriges Lantbruksuniversitet, 1997.

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Burns, Malcolm James. Quantitative trait loci mapping in Arabidopsis: Theory and practice. Birmingham: University of Birmingham, 1997.

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Sebastian, Rachel Louise. The genetic mapping and quantitative trait analysis of Brassica Oleracea. Birmingham: University of Birmingham, 2000.

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25

Genetical Analysis of Quantitative Traits. Kluwer Academic Publishers, 1996.

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Statistical Genetics of Quantitative Traits. New York, NY: Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-68154-2.

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Kearsey, M., i H. Pooni. Genetical Analysis of Quantitative Traits. CRC Press LLC, 2020.

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Kearsey, Dr M. Genetical Analysis of Quantitative Traits. Garland Science, 2004.

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Kearsey, M., i H. Pooni. Genetical Analysis of Quantitative Traits. CRC Press LLC, 2020.

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Kearsey, M., i H. Pooni. Genetical Analysis of Quantitative Traits. CRC Press LLC, 2020.

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Walsh, Bruce, i 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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Streszczenie:
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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Walsh, Bruce, i Michael Lynch. Changes in Quantitative Traits Over Time. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0001.

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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. This chapter provides a historical overview of the study of such traits and their connections with traditional and molecular population genetics, applied breeding, and evolutionary theory.
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Walsh, Bruce, i Michael Lynch. The Neutral Divergence of Quantitative Traits. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0012.

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The joint action of genetic drift and mutation results in the divergence of trait means over time. This chapter examines the expected amount of divergence, which forms the basis for a number of tests on whether an observed pattern is either too large relative to drift (suggesting directional selection) or two small (suggesting stabilizing selection). It then applies these results to examine tests for selection over a very diverse range of data sets, ranging from a stratophenetic series of fossils to divergence in gene expression over time. It also examines a number of trait-augmented marked-based tests (such as using the QTLs or GWAS hits for a trait) for departures from neutrality.
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Evolution and Selection of Quantitative Traits. Oxford University Press, Incorporated, 2018.

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Evolution and Selection of Quantitative Traits. Oxford University Press, Incorporated, 1998.

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Evolution and Selection of Quantitative Traits. Oxford University Press, 2018.

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Huyghe, Christian, Dejan Sokolovi i Jasmina Radovi. Quantitative Traits Breeding for Multifunctional Grasslands and Turf. Springer, 2014.

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Huyghe, Christian, Dejan Sokolovi i Jasmina Radovi. Quantitative Traits Breeding for Multifunctional Grasslands and Turf. Springer, 2016.

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Sokolović, Dejan, Jasmina Radović i Christian Huyghe. Quantitative Traits Breeding for Multifunctional Grasslands and Turf. Springer London, Limited, 2014.

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Huyghe, Christian, Dejan Sokolović i Jasmina Radović. Quantitative Traits Breeding for Multifunctional Grasslands and Turf. Springer, 2014.

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41

Rao, C. R., Arijit Chaudhuri i Tasos C. Christofides. Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques : Qualitative and Quantitative Human Traits: Qualitative and Quantitative Human Traits. Elsevier Science & Technology, 2016.

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Schork, Nik, i Hemant Tiwari. Statistical Methods in the Analysis of Human Quantitative Traits. A Hodder Arnold Publication, 2004.

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Saifullah, Abro. Upland Cotton: Genetic Analysis for Quantitative and Quality Traits. LAP Lambert Academic Publishing, 2014.

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44

Casella, George, Chang-Xing Ma i Rongling Wu. Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL. Springer New York, 2010.

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Genetic Analysis of Complex Traits Using SAS. SAS Institute, 2004.

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Hughes, Kimberly A. Evolutionary genetics of male life history traits in Drosophila melanogaster. 1993.

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Walsh, Bruce, i Michael Lynch. Maintenance of Quantitative Genetic Variation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0028.

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One of the major unresolved issues in quantitative genetics is what accounts for the amount of standing genetic variation in traits. A wide range of models, all reviewed in this chapter, have been proposed, but none fit the data, either giving too much variation or too little apparent stabilizing selection.
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Kenney, William Andrew. Quantitative genetic aspects of some chemical traits of North American willow ("Salix" L.) Coppice. 1990.

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Statistical Genetics of Quantitative Traits: Linkage, Maps and QTL (Statistics for Biology and Health). Springer, 2007.

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Huber, Dudley Arvle. Optimal mating designs and optimal techniques for analysis of quantitative traits in forest genetics. 1993.

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