Accounting for relatedness and spatial structure to improve plant phenotypic selection in the wild
Accounting for relatedness and spatial structure to improve plant phenotypic selection in the wild
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Publisher
Cham: Springer International Publishing
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Language
English
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Publisher
Cham: Springer International Publishing
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Contents
Identifying natural selection in wild plant populations is a challenging task, as the reliability of selection coefficients depends, among other factors, on the critical assumption of data independence. While rarely examined, selection coefficients may be influenced by the spatial and genetic dependence among plants, which violates the independence...
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Full title
Accounting for relatedness and spatial structure to improve plant phenotypic selection in the wild
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Author / Creator
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TN_cdi_proquest_journals_2484020621
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2484020621
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ISSN
0269-7653
E-ISSN
1573-8477
DOI
10.1007/s10682-020-10089-3
