Theory put into practice: An R implementation of the infinite-dimensional model

被引:2
|
作者
Kuparinen, Anna [1 ]
Byoerklund, Mats [2 ]
机构
[1] Univ Helsinki, Ecol Genet Res Unit, Dept Biosci, FI-00014 Helsinki, Finland
[2] Uppsala Univ, Dept Anim Ecol, Evolutionary Biol Ctr, S-75236 Uppsala, Sweden
基金
芬兰科学院; 瑞典研究理事会;
关键词
Evolution; Function valued trait; Infinite-dimensional model; Growth trajectory; Phenotypic variation; Selection; PHENOTYPIC VARIATION; GROWTH TRAJECTORIES; THERMAL SENSITIVITY; REACTION NORMS; SELECTION; EVOLUTION; SIZE; PERSPECTIVE; MATURATION; AGE;
D O I
10.1016/j.ecolmodel.2011.03.041
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The infinite dimensional model (IDM) is an approach that has been developed for the analyses of phenotypic variation in function valued traits such as growth trajectories and continuous reaction norms. This model is particularly suited for the analysis of the potential and the constraints for growth to evolve under selection on body size. Despite of its applicability to a broad range of study systems IDM has only been applied in a handful of studies, as it is mathematically demanding for scientists not familiar with quantitative genetics methods. Here, we present a user-friendly R implementation of IDM, demonstrate its performance with growth data on nine-spined stickleback (Pungitius pungitius). In addition to rearing experiments, individual based size-at-age trajectories are often measured in wild in mark-recapture studies or estimated retrospectively from scales or bones. Therefore, our R implementation of IDM should be applicable to many studies conducted in wild and in a lab, and be useful by making the methodologically challenging IDM approach more easily accessible also in the fields where quantitative genetics methods are less standardly used. (C) 2011 Elsevier B.V. All rights reserved.
引用
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页码:2027 / 2030
页数:4
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