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9780748740826

Genetical Analysis of Quantitative Traits

by ;
  • ISBN13:

    9780748740826

  • ISBN10:

    0748740821

  • Edition: 1st
  • Format: Nonspecific Binding
  • Copyright: 2004-08-16
  • Publisher: ROUTLEDGE

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

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Summary

This clearly written and accessible text provides a guide to the experimental and analytical methodologies available for studying quantitative traits, together with a review of the genetic control of quantitative traits.The book also includes discussions of the ways in which theory can be applied to breeding and evolution.Throughout the book, the authors take full account of developments in analytical techniques.A clear account of quantitative genetics is provided which will be invaluable for advanced undergraduates, post-graduate students, lecturers and researchers entering the field.

Table of Contents

Preface xi
Dedication xiii
Introduction
1(17)
Qualitative, single gene differences
2(2)
What are quantitative traits?
4(2)
Who studies quantitative traits?
6(2)
Why are quantitative traits important?
8(2)
What do we need to know about quantitative traits?
10(3)
Historical development of quantitative genetics
13(5)
Summary
16(1)
References
16(1)
Further reading
17(1)
Basic generations -- means
18(20)
Single gene model with additive and dominance effects
19(2)
Two gene model with additive and dominance effects
21(1)
Multiple gene model with additive and dominance effects
22(3)
Extension to other generations
25(2)
Relationships between generation means
27(3)
Estimating genetical parameters
30(3)
Interpretation: heterosis and potence ratio
33(5)
Summary
36(1)
References
36(2)
Basic generations -- variances
38(15)
Variation in the non-segregating generations
38(1)
Environmental variation
39(2)
Estimating environmental variance
41(1)
Variation in the segregating generations
42(3)
Estimation of genetical components
45(3)
Heritability, h2
48(1)
Relationships between [a] and V*A, and [d] and V*D
49(1)
Dominance ratio
50(1)
Variances and means
51(1)
Conclusions from the analysis of basic generations
51(2)
Summary
51(1)
References
52(1)
Further reading
52(1)
Selfing and full-sib mating
53(24)
Selfing: F3 families
54(3)
Selfing: F4 families and beyond
57(4)
Applications of selfing theory
61(2)
Variation between inbred lines derived from an F2
63(2)
Sib-mating an F2
65(5)
Sib-mating: regression of offspring onto the parents
70(2)
Further inbreeding by full-sib mating
72(1)
Estimation of variance components by weighted least squares
73(1)
Unequal family sizes
74(3)
Summary
75(1)
References
75(2)
Half-sib mating designs
77(24)
The North Carolina Experiment I: NCI
77(5)
The North Carolina Experiment II: NCII
82(2)
General and specific combining ability
84(1)
Multiple NCIIs
85(1)
The North Carolina Experiment III: NCIII
86(6)
The Triple Test Cross: TTC
92(3)
The diallel cross
95(2)
HS designs using inbred lines from an F2 as parents
97(4)
Summary
98(1)
References
99(2)
Genes, genetic markers and maps
101(32)
Genetic markers
102(1)
Structural and regulatory genes
102(1)
Mutations in structural genes
103(4)
Molecular genetic markers
107(4)
Chiasmata, crossing over and genetic exchange
111(6)
Chiasma frequency and recombination frequency
117(3)
Estimation of recombination frequency
120(7)
Mapping functions
127(3)
Segregation distortion
130(3)
Summary
131(1)
References
132(1)
Further reading
133(1)
Gene counting and location
133(32)
Reasons for locating QTL
133(1)
Background to methodology
134(3)
QTL and marker loci in segregating generations
137(14)
Handling more than one QTL on a chromosome
151(5)
Biometrical methods of gene counting
156(4)
General conclusions on QTL counting and locating
160(5)
Summary
162(1)
References
162(2)
Further reading
164(1)
Designer chromosomes
165(21)
Chromosome engineering
165(3)
Locating a QTL within the substituted region
168(2)
Detecting substitution effects
170(2)
Manipulating whole chromosomes
172(1)
Chromosome substitution methods in different species
173(9)
Use of chromosome substitution lines
182(4)
Summary
184(1)
References
184(2)
Populations
186(19)
Problems of studying populations
186(1)
Solutions
187(2)
Consequences of definitions of VA and VD
189(3)
Studies of human populations
192(2)
The use of twins
194(3)
Heritabilities of human traits
197(1)
Genotype--environment correlation
198(2)
Diallel crosses
200(1)
Inbreeding in a population
201(4)
Summary
203(1)
References
204(1)
The consequences of linkage
205(19)
Genetic variation with linkage
205(3)
Extension to more than two genes
208(2)
Linkage and random mating an F2
210(2)
Linkage and inbreeding an F2
212(1)
Linkage disequilibrium in populations in general
212(1)
Tests of linkage
213(2)
Sex linkage
215(1)
Basic generations of single crosses
216(3)
Full-sib families
219(1)
Half-sib designs
220(4)
Summary
222(1)
References
223(1)
Epistasis
224(17)
Definitions
225(1)
Relationship with classical epistasis
226(2)
What is parameter m?
228(1)
The effects of association and dispersion on epistasis
228(3)
Deriving the expectations of generation means
231(1)
Estimates and tests of significance
232(2)
Determining the type of epistasis for a multigene case
234(1)
Epistasis and scaling tests
234(1)
Higher order interactions
235(1)
Epistasis and variances
236(5)
Summary
239(1)
References
240(1)
Genotype by environment interaction
241(25)
The nature and causes of G x E
241(3)
Tests of G x E
244(1)
Macro-environmental variables
245(6)
G x E with many lines
251(1)
Interpretation of G x E analysis
252(2)
Predictions in the presence of G x E
254(1)
Conclusions from the genetic analysis of G x E
255(2)
Selection in heterogeneous environments
257(2)
Other methods of analysis
259(3)
G x E -- stability versus flexibility
262(4)
Summary
263(1)
References
263(2)
Further reading
265(1)
Maternal effects and non-diploids
266(19)
Maternal effects
266(1)
Models for generation means
267(2)
Maternal effects and scaling tests
269(3)
Generation variances
272(1)
Maternal effects in FS and HS designs
273(1)
Haploids and polyploids
274(1)
Basic generations with haploids
274(3)
Multiple mating designs with haploids
277(1)
Basic generations with polyploids
278(4)
Multiple mating designs with polyploids
282(3)
Summary
283(1)
References
283(2)
Correlated and threshold characters
285(17)
Correlations between characters
285(2)
Environmental correlations
287(1)
Genetic correlations
288(3)
Genetic covariation and design of experiment
291(1)
Causes of covariation
292(2)
General conclusions about correlations
294(1)
Threshold traits
294(2)
Handling threshold traits
296(2)
Two or more thresholds
298(4)
Summary
300(1)
References
300(1)
Further reading
301(1)
Applications
302(33)
Choice of breeding objective
302(2)
The causes of heterosis
304(4)
Predicting the breeding potential of crosses
308(6)
Effects of failed assumptions on predictions of RILs and SCHs
314(1)
Predicting the response to selection
315(6)
Correlated response to selection
321(1)
Indirect selection
322(1)
Multi-trait selection
323(1)
Marker-based selection
324(3)
Genetic architecture of populations
327(2)
Human populations
329(6)
Summary
332(1)
References
333(1)
Further reading
334(1)
Experimental design
335(15)
Replication
335(4)
Power of experiments
339(3)
Power of biometrical experiments based on Anova
342(4)
Reliability of the additive genetic variance
346(1)
Data analysis
347(3)
Summary
348(1)
References
349(1)
Further reading
349(1)
Appendix A Precision of h2n with FS families 350(1)
Appendix B Precision of h2n with HS families 351(1)
Appendix C Statistical tables; F, X2, t 352(2)
Appendix D Normal deviate and intensity of selection (i) 354(1)
Appendix E Area under the normal curve 355(1)
Appendix F The weighted least squares procedure 356(4)
Symbols 360(4)
Problems 364(6)
Answers to problems 370(9)
Index 379

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