Crop Science
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (3)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Edwards, J. W.
Right arrow Articles by Lamkey, K. R.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Edwards, J. W.
Right arrow Articles by Lamkey, K. R.
Agricola
Right arrow Articles by Edwards, J. W.
Right arrow Articles by Lamkey, K. R.
Related Collections
Right arrow Statistics
Right arrow Crop Genetics
Right arrow Maize

Dominance and Genetic Drift

Predicted Effects of Population Subdivision in a Maize Population

Jode W. Edwards*,a and Kendall R. Lamkeyb

a Dep. of Biostatistics, Univ. of Alabama at Birmingham, RPHB 327, 1530 3rd Ave. South, Birmingham, AL 35294-0022
b Dep. of Agronomy, Iowa State Univ., Ames, IA 50011



View larger version (26K):

[in a new window]
 
Fig. 1. Predicted variance among subpopulation means for five two-allele models characterized by degree of dominance (d) and recessive allele frequency (q). For each model, the variance among subpopulations was divided by the variance among completely inbred subpopulations (VB at FST = 1).

 


View larger version (23K):

[in a new window]
 
Fig. 2. Predicted variance among subpopulation means for grain yield (YLD), grain moisture (MST), and plant height (PHT) in the BS13(S)C0 maize population. For each trait, the variance among subpopulation means was divided by the total variance among completely inbred subpopulations (VB at FST = 1).

 


View larger version (26K):

[in a new window]
 
Fig. 3. Predicted total genetic variance among noninbred individuals [VW(0)] within subpopulations for five two-allele models characterized by degrees of dominance (d) and recessive allele frequency (q). Predicted genetic variances were divided by the total genetic variance among noninbred genotypic values in the metapopulation [VW(0) at FST = 0].

 


View larger version (27K):

[in a new window]
 
Fig. 4. Predicted additive genetic variance within subpopulations [VAW(0)] for five two-allele models characterized by degree of dominance (d) and recessive allele frequency (q). Predicted additive genetic variances were divided by the total genetic variance among noninbred genotypic values in the metapopulation [VW(0) at FST = 0].

 


View larger version (31K):

[in a new window]
 
Fig. 5. Predicted total genetic variance among noninbred individuals within subpopulations [VW(0), labeled VW] and additive genetic variance within subpopulations [VAW(0), labeled VA] for grain yield (YLD), grain moisture (MST), and plant height (PHT) in the BS13(S)C0 maize population. All predicted variances were divided by the total genetic variance among noninbred genotypic values in the metapopulation [VW(0) at FST = 0 and FIS = 0].

 


View larger version (27K):

[in a new window]
 
Fig. 6. Predicted covariances between inbred genotypic values and inbred breeding values, CGAW(1), (labeled A) and between inbred genotypic values and inbred dominance deviations, CGDW(1), (labeled D) for three two-allele models characterized by degree of dominance (d) and recessive allele frequency (q). Plots are labeled with ordered pairs in parentheses, representing degree of dominance and recessive allele frequency, respectively [e.g., (2, 0.1) represents d = 2 and q = 0.1; allele frequency excluded for d = 0]. All covariances were divided by predicted genetic variance among inbred individuals [VW(1)] at the same value of FST.

 


View larger version (28K):

[in a new window]
 
Fig. 7. Predicted covariances between inbred genotypic values and inbred breeding values, CGAW(1), (labeled A) and between inbred genotypic values and inbred dominance deviations, CGDW(1), (labeled D) for grain yield (YLD), grain moisture (MST), and plant height (PHT) in the BS13(S)C0 maize population. All covariances were divided by predicted genetic variance among inbred individuals [VW(1)] at the same value of FST.

 


View larger version (22K):

[in a new window]
 
Fig. 8. Predicted 95% drift intervals for grain yield in the BS13(S)C0 maize population for values of FST ranging from zero to one. The line µ represents the predicted metapopulation mean, lines µ ± 2 are 95% confidence limits for values of individuals, and lines µ ± 2 are 95% confidence limits for values of subpopulation means.

 


View larger version (22K):

[in a new window]
 
Fig. 9. Predicted 95% drift intervals for grain moisture in the BS13(S)C0 maize population for values of FST ranging from zero to one. The line µ represents the predicted metapopulation mean, lines µ ± 2 are 95% confidence limits for values of individuals, and lines µ ± 2 are 95% confidence limits for values of subpopulation mean.

 





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Vadose Zone Journal
Journal of Plant Registrations Soil Science Society of America Journal
Journal of Natural Resources
and Life Sciences Education
Journal of
Environmental Quality
Copyright © 2003 by the Crop Science Society of America.