AgeStrucNb: Software for Simulating and Detecting Changes in the Effective Number of Breeders (Nb)
AgeStrucNb: Software for Simulating and Detecting Changes in the Effective Number of Breeders (Nb)
复制标题
AgeStrucNb:用于模拟和检测有效育种者数量 (Nb) 变化的软件
DOI:
10.1093/jhered/esaa028
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发表时间:
2020
影响因子:
3.1
通讯作者:
Hand, Brian K
中科院分区:
文献类型:
--
作者:
Antao, Tiago;Cosart, Ted;Trethewey, Brian;Waples, Robin S;Ackerman, Mike W;Luikart, Gordon;Hand, Brian K
Estimation of the effective number of breeders per reproductive event (Nb) using single sample DNA-marker-based methods has rapidly grown in recent years. However, estimatingNbis difficult in age-structured populations because the performance of estimators is influenced by theNb/Neratio, which varies among species with different life histories. We provide a computer program,AgeStrucNb, to simulate age-structured populations (including life history) and also estimateNb. TheAgeStrucNbprogram is composed of 4 major components to simulate, subsample, estimate, and then visualizeNbtime series data.AgeStrucNballows users to also quantify the precision and accuracy of any set of loci or sample size to estimateNbfor many species and populations.AgeStrucNballows users to conduct power analysis to evaluate sensitivity to detect changes inNbor the power to detect a correlation between trends inNband environmental variables (e.g., temperature, habitat quality, predator or pathogen abundance) that could be driving changes inNb. The software providesNbestimates for empirical data sets using the LDNe (linkage disequilibrium) method, includes publication-quality output graphs, and outputs genotype files in Genepop format for use in other programs.AgeStrucNbwill help advance the application of genetic markers for monitoringNb, which will help biologists to detect population declines and growth, which is crucial for research and conservation of natural and managed populations.
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影响因子:
3.3
作者:
R. Waples;M. Yokota
通讯作者:
M. Yokota
DOI:
--
发表时间:
2013
期刊:
Proceedings of the Royal Society B: Biological Sciences
影响因子:
--
作者:
R. Waples;G. Luikart;James R. Faulkner;D. Tallmon
通讯作者:
D. Tallmon
影响因子:
4.1
作者:
T. Dowling;T. F. Turner;E. W. Carson;M. Saltzgiver;D. Adams;B. Kesner;P. Marsh
通讯作者:
P. Marsh
影响因子:
5
作者:
Jacquelyn L. A. Wood;Sebastian Belmar;Jeffrey A. Hutchings;Dylan J. Fraser
通讯作者:
Dylan J. Fraser
影响因子:
7.7
作者:
R. Waples;R. Waples
通讯作者:
R. Waples