scholarly journals Assessing performance of single‐sample molecular genetic methods to estimate effective population size: empirical evidence from the endangered Gochu Asturcelta pig breed

2016 ◽  
Vol 6 (14) ◽  
pp. 4971-4980 ◽  
Author(s):  
Juan Menéndez ◽  
Isabel Álvarez ◽  
Iván Fernandez ◽  
Nuria A. Menéndez‐Arias ◽  
Félix Goyache
Keyword(s):  
Population Size ◽  
Effective Population Size ◽  
Empirical Evidence ◽  
Molecular Genetic ◽  
Single Sample ◽  
Effective Population

Monitoring the effective population size of a brown bear (Ursus arctos) population using new single-sample approaches

2012 ◽  
Vol 21 (4) ◽  
pp. 862-875 ◽  
Author(s):  
TOMAŽ SKRBINŠEK ◽  
MAJA JELENČIČ ◽  
LISETTE WAITS ◽  
IVAN KOS ◽  
KLEMEN JERINA ◽  
...  
Keyword(s):  
Population Size ◽  
Effective Population Size ◽  
Ursus Arctos ◽  
Brown Bear ◽  
Single Sample ◽  
Effective Population

scholarly journals Relative precision of the sibship and LD methods for estimating effective population size with genomics-scale datasets

2021 ◽  
Author(s):  
Robin S Waples
Keyword(s):  
Linkage Disequilibrium ◽  
Population Size ◽  
Effective Population Size ◽  
Computer Simulations ◽  
Sibling Relationships ◽  
Single Sample ◽  
Effective Population ◽  
Model Species ◽  
Relative Precision ◽  
Combining Information

Computer simulations were used to compare relative precision of two widely-used single-sample methods for estimating effective population size (Ne)--the sibship method and the linkage-disequilibrium (LD) method. Emphasis is on performance when thousands of gene loci are used, which now can easily be achieved even for non-model species. Results show that unless Ne is very small, if at least 500-2000 diallelic loci are used, precision of the LD method is higher than the maximum possible precision for the sibship method, which occurs when all sibling relationships have been correctly identified. Results also show that when precision is high for both methods, their estimates of effective population size are high and positively correlated, which limits additional gains in precision that might be obtained by combining information from the two estimators

Testing single-sample estimators of effective population size in genetically structured populations

2013 ◽  
Vol 15 (1) ◽  
pp. 23-35 ◽  
Author(s):  
Clare E. Holleley ◽  
Richard A. Nichols ◽  
Michael R. Whitehead ◽  
Aaron T. Adamack ◽  
Melissa R. Gunn ◽  
...  
Keyword(s):  
Population Size ◽  
Effective Population Size ◽  
Structured Populations ◽  
Single Sample ◽  
Effective Population
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