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Biometrical genetics : analysis of quanitative variation /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Roy, Darbeshwar
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford, U.K. : Alpha Science International, ©2012.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Genes, Chromosomes and Characters
  • 1.1. The Gene
  • 1.2. Biochemistry of the Gene
  • 1.3. Chromosomes
  • 1.4. Characters
  • 1.5. Protein Synthesis
  • References
  • 2. Analysis of Qualitative Traits
  • 2.1. Gene Action and Interaction
  • 2.1.1. Dominance
  • 2.1.2. Overdominance
  • 2.1.3. Co-dominance
  • 2.1.4. Multiple alleles
  • 2.1.5. Epistasis or non-allelic interaction
  • 2.2. Application of Laws of Probability
  • 2.2.1. Application to cases of two or more genes
  • 2.2.2. Types of probability
  • 2.2.3. Binomial probability
  • 2.2.4. Multinomial probability
  • 2.3. Test of Goodness of Fit
  • 2.3.1. Two factor segregation
  • 2.3.2. Test of heterogeneity of families
  • 2.3.3. Testing of independence
  • 2.4. Experimental Size
  • 2.4.1. Distinction between two hypotheses
  • 2.5. Linkage and Pleiotrophy
  • 2.5.1. Detection of linkage
  • 2.5.2. Estimation of recombination frequency
  • 2.5.3. Efficiency of different types of families
  • 2.5.4. Factors affecting the recombination frequency
  • 2.5.5. Pleiotropy
  • 2.6. Extra Chromosomal Inheritance
  • 2.6.1. Criterion for extra-chromosomal inheritance
  • 2.6.2. Cell organelles
  • 2.7. Sex-Determination
  • 2.8. Expression of Qualitative Gene(s)
  • 2.8.1. Penetrance and expressivity
  • 2.9. Estimation of Gene Frequency
  • 2.9.1. Incomplete dominance
  • 2.9.2. Multiple alleles
  • 2.10. Estimation of Genetic Diversity
  • References
  • 3. Analysis of Quantitative Traits
  • 3.1. Theories of Quantitative Variability
  • 3.2. Description of Normal Distribution Curve
  • 3.2.1. Mean
  • 3.2.2. Mode and median
  • 3.2.3. Variance and covariance
  • 3.2.4. Range
  • 3.2.5. Skewness and kurtosis
  • 3.3. Threshold Variability
  • 3.4. Meristic Variability
  • 3.5. Poisson Distribution
  • 3.6. Modifications of Binomial and Poisson Distributions
  • 3.6.1. Gamma distribution
  • 3.6.2. Hypergeometric distribution
  • 3.7. Biomodal and Multimodal Distributions
  • References
  • 4. Statistical Estimations, Tests, Models and Designs
  • 4.1. Estimation and Inference
  • 4.1.1. Methods of estimation
  • 4.2. Test of Significance
  • 4.2.1. Chi-square test
  • 4.2.2. F-test
  • 4.2.3. The t-test
  • 4.2.4. Z-distribution
  • 4.2.5. Relationship between different distributions
  • 4.2.6. Non-central chi-square
  • 4.2.7. Non-central F
  • 4.3. Statistical Models and Expectation of Mean Squares
  • 4.3.1. Fixed model
  • 4.3.2. Random model
  • 4.3.3. Mixed model
  • 4.4. Experimental Designs and Calculation of Mean Squares
  • 4.4.1. Randomized Complete Block Design (RBD)
  • 4.4.2. Nested design
  • 4.4.3. Cross-classified design
  • 4.4.4. Factorial experiment
  • 4.4.5. Analysis of co-variance
  • 4.5. Correlation and Regression Analysis
  • 4.5.1. Correlation coefficient
  • 4.5.2. Regression analysis
  • 4.5.3. Joint regression analysis
  • 4.5.4. Multiple regression
  • 4.5.5. Partial correlation and regression
  • 4.5.6. Multiple correlation
  • 4.6. Orthogonal Polynomial
  • 4.7. Non-Parametric Statistics
  • 4.8. Multivariate Analysis
  • 4.8.1. Principal component analysis
  • 4.8.2. Factor analysis
  • 4.8.3. Canonical analysis
  • 4.8.4. Discrimination and classification
  • 4.8.5. Principal co-ordinate analysis
  • 4.9. Growth Curves
  • 4.9.1. Competition
  • References
  • 5. Analysis of Means
  • 5.1. Scaling Tests
  • 5.2. Estimation of Parameters
  • 5.3. Epistasis or Non-allelic Interaction
  • 5.4. Estimation of Coefficient of Dispersion
  • 5.5. Concept of Average Effect of Gene
  • 5.6. Other Models of Estimation of Genetic Effects
  • 5.7. Detection of Epistasis by other Methods
  • References.
  • 12.6. Triploids
  • 12.7. Haploids
  • 12.7.1. Production of haploids
  • 12.7.2. Identification of haploids
  • 12.7.3. Advantages and disadvantages
  • 12.7.4. Biometrical genetics of haploids
  • 12.8. Doubled Haploids
  • 12.8.1. Analysis of means
  • 12.8.2. Analysis of variances
  • 12.8.3. Estimation of additive and additive additive interaction variances
  • 12.8.4. Estimation of dominance variance and the degree of dominance
  • 12.8.5. Linkage disequilibrium
  • 12.8.6. Estimation of recombination value
  • 12.8.7. Skewness and kurtosis
  • 12.8.8. Estimation of number of effective factors
  • 12.8.9. Covariances/correlation
  • 12.8.10. Generation of deriving DH lines
  • 12.8.11. Efficiency of DH method
  • References
  • 13. Competition
  • 13.1. Definition and Types
  • 13.2. Yield-Density Relationship
  • 13.3. Mixture Diallels
  • 13.4. Intergenotypic Competition
  • 13.4.1. Estimation of a, bm and bd
  • 13.4.2. Partitioning of C-values
  • 13.5. Nature of the Underlying Genetical Control of Competition and Competitive Ability
  • 13.6. Competition in Natural Population
  • 13.7. Estimation of Outcrossing Rate
  • 13.8. Detection of Competition
  • References
  • 14. Environmental Variation
  • 14.1. Definition and Types
  • 14.2. Estimation of Environmental Variation
  • 14.3. Individual Plant Randomization
  • 14.4. Sampling Variation
  • 14.5. Other Experimental Designs
  • 14.6. Estimation of Experimental Error
  • 14.7. Augmented Design
  • 14.8. Environmental Covariance
  • References
  • 15. Heritability
  • 15.1. Definition and Types
  • 15.2. Heritability a Characteristic of Population
  • 15.3. Estimates of Heritability
  • 15.4. Effect of G [×] E Interaction
  • 15.5. Uses of Estimates of Heritability
  • 15.6. Changing Estimates of Heritability
  • 15.7. Problems in use of Estimate of Heritability
  • References
  • 16. Estimation of the Number of Effective Factors
  • 16.1. Approaches to Estimation of Number of Genes
  • 16.2. Chromosome Assay
  • 16.3. Statistical Properties of Distribution
  • 16.4. Estimate of k using Dominance Genetic Effect and Dominance Genetic Variance
  • 16.5. Use of F2 Derived Generation Variances
  • 16.6. Estimation of Number of Effective Factors in Random Mating Population
  • 16.7. Genotype Assay
  • 16.7.1. Theory
  • 16.8. Use of Dihaploids in the Estimation of Number of genes
  • 16.8.1. Use of range and genetical variance of an F1, F2 derived DH populations
  • 16.8.2. Use of variances of F2-derived population
  • 16.8.3. Genotype assay
  • 16.9. Estimation of the Number of Effective Factors in Haploids
  • 16.10. Method for Locating Genes
  • References
  • 17. Analysis of Skewness and Kurtosis
  • 17.1. Genetical Causes of Skewness and Kurtosis
  • 17.2. Information on Gene Action and Interaction
  • 17.3. Estimation of Coefficients of Skewness and Kurtosis in Population of Pure Breeding Lines
  • 17.4. Effects of Random Environmental Variation and Genotype Environment Interaction
  • 17.5. Estimation of Skewness and Kurtosis in Dihaploid Population
  • 17.6. Effect of Skewness on Selection
  • References
  • 18. Transformation of Scale
  • 18.1. Tests of Non-normality
  • 18.2. Relation of Variability to Mean
  • 18.3. Scale Effect
  • 18.4. Variance Stabilizing Transformation
  • 18.5. Poisson Distribution
  • 18.6. Binomial Distribution
  • References
  • 19. Genetic Structure of Population
  • 19.1. The Hardy-Weinberg Equilibrium
  • 19.1.1. Testing goodness of fit
  • 19.1.2. Extension of H.W. equilibrium to cases of multiple alleles, sex-linked genes and polygenic inheritance
  • 19.1.3. Sex-linked loci
  • 19.1.4. Polygenic traits
  • 19.2. Changes in Gene Frequency
  • 19.2.1. Effects of non-random mating
  • 19.2.2. Self-fertilization
  • 19.2.3. Sib mating
  • 19.2.4. Assortative mating
  • 19.2.5. Negative assortative mating
  • 19.3. Mutation
  • 19.3.1. Balance between mutation and selection
  • 19.4. Selection
  • 19.4.1. Complete elimination of recessive homozygotes
  • 19.4.2. Balance between selection and inbreeding
  • 19.5. Competitive Selection
  • 19.6. Migration
  • 19.6.1. Balance between selection and migration
  • 19.6.2. Models for studying the population structure
  • 19.7. Drift
  • 19.7.1. Effective population size
  • 19.7.2. Random genetic drift in natural populations
  • 19.8. The Founder Principle
  • 19.9. Gametic Selection
  • 19.10. Meiotic Drive
  • 19.11. Genetic Load
  • 19.11.1. Segregational load
  • 19.11.2. Mutational load
  • References
  • 20. Selection Theory
  • 20.1. Response to Selection
  • 20.1.1. Selection differential
  • 20.1.2. Response due to selection in tetraploid
  • 20.2. Correlated Response
  • 20.3. Path Analysis
  • 20.3.1. Determination of residual variability
  • 20.3.2. Path coefficient vs correlation coefficient
  • 20.3.3. Application of path analysis
  • 20.4. Yield and Yield Components
  • 20.5. Types of Selection
  • 20.5.1. Efficiency of different methods
  • 20.5.2. Combined selection
  • 20.6. Selection Criterion
  • 20.6.1. Single trait selection
  • 20.6.2. Multitrait selection
  • 20.7. Comparison of Efficiency of Different Methods
  • 20.8. Selection Limit
  • 20.9. Natural Selection
  • 20.9.1. Stabilizing selection
  • 20.9.2. Directional selection
  • 20.9.3. Disruptive selection
  • References
  • 21. QTL Analysis
  • 21.1. QTL Analysis
  • 21.1.1. Linkage between QTL and molecular marker
  • 21.1.2. Mapping methods
  • 21.2. Models for Estimating Genetic Effects of QTL
  • 21.3. Mapping Populations
  • 21.4. Population Size
  • 21.5. Experimental Design
  • 21.6. Mapping in Polyploids
  • 21.6.1. Methods of linkage analysis
  • 21.7. Genetic Mapping
  • 21.8. Information from QTL Mapping
  • 21.9. Comparative Mapping and Orthologous Poly Genes
  • 21.10. Identification of Links between Genotype and Phenotype
  • References
  • 22. Matrix
  • 22.1. Definition and Types
  • 22.2. Matrix Operations
  • 22.3. Dispersion Matrix
  • 22.4. Orthogonal Matrix
  • 22.5. Diagonalization of Matrix
  • References
  • 23. Problems in Biometrical Genetics.