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Books on the topic 'Trait quantitative'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

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

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2

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

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3

Weller, Joel Ira. Quantitative trait loci analysis in animals. 2nd ed. CABI North American Office, 2009.

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4

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

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

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6

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

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7

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

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8

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

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9

Lantbruksuniversitet, Sveriges, ed. Genome analysis of quantitative trait loci in the pig. Sveriges Lantbruksuniversitet, 1997.

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10

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

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11

1957-, Walsh Bruce, ed. Genetics and analysis of quantitative traits. Sinauer, 1998.

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12

S, Pooni Harpal, ed. Th e genetical analysis of quantitative traits. Stanley Thornes, 1998.

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13

Bernardo, Rex Novero. Breeding for quantitative traits in plants. 2nd ed. Stemma Press, 2010.

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14

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

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15

Breeding for quantitative traits in plants. Stemma Press, 2002.

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16

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

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17

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

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18

Hazardous materials transportation risk analysis: Quantitative approaches for truck and train. Van Nostrand Reinhold, 1994.

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19

Saunak, Sen, and SpringerLink (Online service), eds. A Guide to QTL Mapping with R/qtl. Springer-Verlag New York, 2009.

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20

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

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21

Terehin, Valeriy, and Viktor Chernyshov. Efficiency and effectiveness of the penitentiary system: assessment and planning. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1079434.

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The issues of setting goals, planning and forming a system of indicators of the effectiveness and efficiency of the penal system are considered. The criteria for determining the goals-tasks that are adequate to the public goals of the system are justified. Quantitative indicators corresponding to the criteria were developed, based on the contribution of the criminal justice System to reducing the socio-economic losses of society from recidivism. The contribution of the system is determined by changes in the criminal potential of convicted persons during the period of serving a sentence under a

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22

Quantitative Trait Loci Analysis in Animals. CABI, 2001.

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23

J, Camp Nicola, and Cox Angela 1961-, eds. Quantitative trait loci: Methods and protocols. Humana Press, 2002.

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24

Quantitative Trait Loci Qtl Methods in Molecular Biology Hardcover. Humana Press, 2012.

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25

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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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, show

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26

Walsh, Bruce, and 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-ba

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27

(Editor), Nicola J. Camp, and Angela Cox (Editor), eds. Quantitative Trait Loci: Methods and Protocols (Methods in Molecular Biology). Humana Press, 2002.

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28

Al-Rjoub, Faisal Ahmed. Mapping quantitative trait loci affecting sucrose accumulation in barley seedlings under water stress. 1994.

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29

Principles Of Statistical Genomics. Springer-Verlag New York Inc., 2008.

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30

Traore, Abdoulaye. Quantitative trait locus mapping of yield and yield components in barley (Hordeum vulgare L.). 1993.

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31

P. Beck, P. Stratz, S. Preuß, et al. Linkage mapping of quantitative trait loci for phosphorus utilization and growth related traits in an F2-cross of Japanese quail (Coturnix japonica). Verlag Eugen Ulmer, 2016. http://dx.doi.org/10.1399/eps.2016.133.

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32

Tahir, Muhammad. Use of isozyme polymorphisms in lentil (LENS· culinaris Medik.) for gene mapping and detection of quantitative trait loci. 1990.

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33

Oziel, Adeline M. Mapping of quantitative trait loci for malting quality in a winter X spring barley (Hordeum vulgare, L.) cross. 1993.

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34

Weller, Joel. Genomic Selection in Animals. Wiley & Sons, Incorporated, John, 2016.

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35

Genomic Selection in Animals. Wiley-Blackwell, 2016.

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36

Weller, Joel. Genomic Selection in Animals. Wiley & Sons, Incorporated, John, 2016.

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37

Iyamabo, Odianosen E. Effects of selection, recombination and plot type on phenotypic and quantitative trait locus analyses in barley (Hordeum vulgare L.). 1993.

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38

A Review of the Genetics of Alcoholism and a Confirmatory Study of an Acute Alcohol Withdrawal Quantitative Trait Locus in Mice. Storming Media, 1999.

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39

Webb, David M. Genetic mapping of Cuphea lanceolata: Molecular-marker linkage to quantitative-trait loci affecting seed capric acid, seed oil, and embryo development. 1990.

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40

Nielsen, François. Genes and Status Achievement. Edited by Rosemary L. Hopcroft. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190299323.013.22.

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A number of human traits that are predictive of socioeconomic success (e.g., intelligence, certain personality traits, and educational attainment) or reflective of success (e.g., occupational prestige and earnings) have been found to be substantially affected by individual genetic endowments; some outcomes, such as educational attainment, are also affected by the family environment, although usually to a lesser extent. The associations among status-related traits are themselves largely due to genetic causes. By reshuffling the genes of parents at each generation, sexual reproduction produces a

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41

Walsh, Bruce, and Michael Lynch. Short-term Changes in the Variance: 2. Changes in the Environmental Variance. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0017.

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While classical quantitative genetics usually assumes that all genotypes have the same environmental variance (the assumption of homoscedasticity), in reality, genotypes can show heteroscedasticity in the environmental variance. When such variation is heritable (i.e., has an additive variance in an outbred population), then the environmental variance can change under selection. This can either be due to an indirect response (such as during directional selection on a trait), or through direct selection to increase the homogeneity of a trait (such as for increased uniformity during harvesting).

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42

Reichborn-Kjennerud, Ted, and Kenneth S. Kendler. Genetics of Personality Disorders. Edited by Christian Schmahl, K. Luan Phan, Robert O. Friedel, and Larry J. Siever. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199362318.003.0003.

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This chapter reviews the evidence for genetic contributions to the etiology of personality disorders (PDs) as defined by the Diagnostic and Statistical Manual of Mental Disorders (DSM; 5th ed.). This approach and some of the controversial issues associated with its development are briefly described in the first section. The second section evaluates the evidence for genetic influence on DSM PDs from family and twin studies using quantitative genetic methods. Studies that move beyond individual PDs are also reviewed, together with studies on the extent to which common genetic factors influence P

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43

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

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44

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

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45

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

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46

Walsh, Bruce, and Michael Lynch. Long-term Response: 2. Finite Population Size and Mutation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0026.

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In a finite population, drift is often more important than selection in removing any initial additive variance. This chapter examines the joint impact of selection, drift, and mutation on the long-term response in a quantitative trait. One key result is the remarkable finding of Robertson that the expected long-term response from any initial additive variance is bounded above by the product of twice the effective population size times the initial response. This result implies that the optimal selection intensity for long-term response it to save half of the population in each generation.

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47

(Editor), Jeffrey C. Hall, Jay C. Dunlap (Editor), Theodore Friedmann (Editor), and Francesco Giannelli (Editor), eds. Advances in Genetics, Volume 41 (Advances in Genetics). Academic Press, 1999.

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48

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

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49

Walsh, Bruce, and 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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50

Horner, John D., Bartosz J. Płachno, Ulrike Bauer, and Bruno Di Giusto. Attraction of prey. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198779841.003.0012.

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The ability to attract prey has long been considered a universal trait of carnivorous plants. We review studies from the past 25 years that have investigated the mechanisms by which carnivorous plants attract prey to their traps. Potential attractants include nectar, visual, olfactory, and acoustic cues. Each of these has been well documented to be effective in various species, but prey attraction is not ubiquitous among carnivorous plants. Directions for future research, especially in native habitats in the field, include: the qualitative and quantitative analysis of visual cues, volatiles, a

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