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Titlebook: Exploring Studbooks for Wildlife Management and Conservation; F.P.G. Princée Book 2016 Springer International Publishing AG 2016 conservat

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楼主: 万灵药
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https://doi.org/10.1007/978-3-658-15668-8 regression models are used to detect differences in lifespan in inbred and non–inbred individuals. Different methods to estimate lethal equivalents are presented. These include linear and generalised linear regression, the generalised equation estimator (to adjust for pseudoreplication) and maximum
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https://doi.org/10.1007/978-3-531-94061-8resentation in a population that was established with a small number of founders. The concept of estimating mean kinship of individuals from kinship coefficients is described. The procedure used to identify genetically important individuals is illustrated with mean kinship in male and female wolveri
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Frank Marcinkowski,Adrian Steinern regarding independent data and normal distribution of trait data are discussed, as are effects of outliers on results. The Residual or Restricted Maximum Likelihood (REML) and Markov chain Monte Carlo (MCMC) implementations of the “animal model” to estimate heritability are briefly described. Part
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Book 2016ction presents analyses to determine baseline species information such as litter size, inter-birth interval, longevity and seasonality. “Demography” covers census(-style) analyses, age-class based life tables, comparative survival analyses and population projections. Solutions for dealing with small
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Introductionooks and that can be used for wildlife management and conservation. An outline of the main topics of the book is provided. These include natural history, census, life tables, survival analysis, population projections, detection of inbreeding depression, quantitative genetics and the use of data from
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Studbooks and Softwarefrom SPARKS studbooks and applies its own data filters to create subsets for comparative studies. The PML program is used throughout the book for natural history, demographic and genetic analyses of the studbook examples. PML includes basic statistics but uses R through the add-on module studbookR f
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