Estimation of mating system parameters in plant populations using marker loci with null alleles

1986 ◽  
Vol 72 (3) ◽  
pp. 322-327 ◽  
Author(s):  
H. A. Ross
Keyword(s):  
Mating System ◽  
Null Alleles ◽  
Plant Populations ◽  
System Parameters ◽  
Marker Loci

scholarly journals A multilocus estimator of mating system parameters in plant populations

1981 ◽  
Vol 78 (2) ◽  
pp. 1298-1302 ◽  
Author(s):  
D. V. Shaw ◽  
A. L. Kahler ◽  
R. W. Allard
Keyword(s):  
Mating System ◽  
Plant Populations ◽  
System Parameters

MONTE CARLO STUDIES OF PLANT MATING SYSTEM ESTIMATION MODELS: THE ONE-POLLEN PARENT AND MIXED MATING MODELS

Genetics ◽  
1986 ◽  
Vol 112 (4) ◽  
pp. 927-945
Author(s):  
Daniel J Schoen ◽  
Michael T Clegg
Keyword(s):  
Monte Carlo ◽  
Mating System ◽  
Bootstrap Method ◽  
Pollen Parent ◽  
Mixed Mating ◽  
Plant Populations ◽  
System Parameters ◽  
Monte Carlo Studies ◽  
The One ◽  
Estimation Models

ABSTRACT Estimation of mating system parameters in plant populations typically employs family-structured samples of progeny genotypes. These estimation models postulate a mixture of self-fertilization and random outcrossing. One assumption of such models concerns the distribution of pollen genotypes among eggs within single maternal families. Previous applications of the mixed mating model to mating system estimation have assumed that pollen genotypes are sampled randomly from the total population in forming outcrossed progeny within families. In contrast, the one-pollen parent model assumes that outcrossed progeny within a family share a single-pollen parent genotype. Monte Carlo simulations of family-structured sampling were carried out to examine the consequences of violations of the different assumptions of the two models regarding the distribution of pollen genotypes among eggs. When these assumptions are violated, estimates of mating system parameters may be significantly different from their true values and may exhibit distributions which depart from normality. Monte Carlo methods were also used to examine the utility of the bootstrap resampling algorithm for estimating the variances of mating system parameters. The bootstrap method gives variance estimates that approximate empirically determined values. When applied to data from two plant populations which differ in pollen genotype distributions within families, the two estimation procedures exhibit the same behavior as that seen with the simulated data.

Estimation of mating system parameters in plant populations using the EM algorithm

1983 ◽  
Vol 65 (2) ◽  
pp. 157-161 ◽  
Author(s):  
W. M. Cheliak ◽  
K. Morgan ◽  
C. Strobeck ◽  
F. C. H. Yeh ◽  
B. P. Dancik
Keyword(s):  
Em Algorithm ◽  
Mating System ◽  
Plant Populations ◽  
System Parameters ◽  
The Em Algorithm

The mating system in natural populations of Thujaorientalis

1991 ◽  
Vol 21 (3) ◽  
pp. 333-339 ◽  
Author(s):  
Chang Yi Xie ◽  
Bruce P. Dancik ◽  
Francis C. Yeh
Keyword(s):  
Mating System ◽  
Expectation Maximization ◽  
Natural Populations ◽  
Expectation Maximization Algorithm ◽  
Outcrossing Rate ◽  
Significant Heterogeneity ◽  
System Parameters ◽  
Marker Loci ◽  
Self Fertilization ◽  
The Mean

EM (expectation–maximization) algorithm procedures were used to estimate mating-system parameters in four natural populations of Thujaorientalis L. from China using seven allozyme marker loci (Fest1, Idh1, Idh2, Mr, Pgi2, Skdh1, and 6Pg2). The mean single-locus outcrossing rate was 0.70 for the species, but estimates showed that there was significant heterogeneity among loci within populations. Multilocus estimates of the outcrossing rate showed that there was significant heterogeneity among populations and among trees within populations. The mean multilocus outcrossing rate (0.75) was higher than the outcrossing rate (0.63) observed in a closely related conifer, Thujaoccidentalis L., but lower than estimates that have been reported for most other conifers. Significant heterozygote deficiencies, relative to Hardy–Weinberg and mating-system equilibria, were observed in all filial populations. In contrast, the maternal populations conformed to Hardy–Weinberg and mating-system equilibria at most loci. Self-fertilization and other forms of inbreeding (e.g., sibling mating) within the sampled populations are important contributors to the low outcrossing estimates in this conifer.

Joint estimation of immigration and mating system parameters in gymnosperms using the EM algorithm

1991 ◽  
Vol 83 (2) ◽  
pp. 137-140 ◽  
Author(s):  
C. Y. Xie ◽  
F. C. Yeh ◽  
B. P. Dancik ◽  
C. Strobeck
Keyword(s):  
Em Algorithm ◽  
Mating System ◽  
Joint Estimation ◽  
System Parameters ◽  
The Em Algorithm

scholarly journals Genome‐wide genotyping estimates mating system parameters and paternity in the island species Tolpis succulenta

2020 ◽  
Vol 107 (8) ◽  
pp. 1189-1197
Author(s):  
Matthew J. S. Gibson ◽  
Daniel J. Crawford ◽  
Mark T. Holder ◽  
Mark E. Mort ◽  
Benjamin Kerbs ◽  
...  
Keyword(s):  
Mating System ◽  
System Parameters ◽  
Island Species ◽  
Genome Wide

scholarly journals Temporal quantification of mating system parameters in a coastal Douglas-fir seed orchard under manipulated pollination environment

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Jiayin Song ◽  
Blaise Ratcliffe ◽  
Tony Kess ◽  
Ben S. Lai ◽  
Jiří Korecký ◽  
...  
Keyword(s):  
Mating System ◽  
Seed Orchard ◽  
Douglas Fir ◽  
System Parameters ◽  
Pollination Environment
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