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      Genetic variation for upper thermal tolerance diminishes within and between populations with increasing acclimation temperature in Atlantic salmon

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          Ecology. Physiology and climate change.

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            COLONY: a program for parentage and sibship inference from multilocus genotype data.

            Pedigrees, depicting genealogical relationships between individuals, are important in several research areas. Molecular markers allow inference of pedigrees in wild species where relationship information is impossible to collect by observation. Marker data are analysed statistically using methods based on Mendelian inheritance rules. There are numerous computer programs available to conduct pedigree analysis, but most software is inflexible, both in terms of assumptions and data requirements. Most methods only accommodate monogamous diploid species using codominant markers without genotyping error. In addition, most commonly used methods use pairwise comparisons rather than a full-pedigree likelihood approach, which considers the likelihood of the entire pedigree structure and allows the simultaneous inference of parentage and sibship. Here, we describe colony, a computer program implementing full-pedigree likelihood methods to simultaneously infer sibship and parentage among individuals using multilocus genotype data. colony can be used for both diploid and haplodiploid species; it can use dominant and codominant markers, and can accommodate, and estimate, genotyping error at each locus. In addition, colony can carry out these inferences for both monoecious and dioecious species. The program is available as a Microsoft Windows version, which includes a graphical user interface, and a Macintosh version, which uses an R-based interface. © 2009 Blackwell Publishing Ltd.
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              Gene flow and the limits to natural selection

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                Author and article information

                Contributors
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                Journal
                Heredity
                Heredity
                Springer Science and Business Media LLC
                0018-067X
                1365-2540
                August 26 2021
                Article
                10.1038/s41437-021-00469-y
                34446857
                0facf855-794f-4bb7-8eb9-14ef4e63c337
                © 2021

                https://www.springer.com/tdm

                https://www.springer.com/tdm

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