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Variation in growth in the blue tit ( Parus caeruleus )
Author(s) -
Björklund M.
Publication year - 1997
Publication title -
journal of evolutionary biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.289
H-Index - 128
eISSN - 1420-9101
pISSN - 1010-061X
DOI - 10.1046/j.1420-9101.1997.10020139.x
Subject(s) - biology , microevolution , variation (astronomy) , heritability , offspring , parus , selection (genetic algorithm) , genetic variation , quantitative genetics , natural selection , evolutionary biology , zoology , ecology , demography , genetics , population , pregnancy , physics , artificial intelligence , sociology , astrophysics , computer science , gene
The pattern and amount of phenotypic and genetic variation in growth was analysed using the infinite‐dimensional model in natural populations of the blue tit ( Parus caeruleus ). A size‐index was used to analyse patterns of variation and covariation across ages (2, 5, 8, 11 and 14 days). Genetic variation was analysed using mother‐, father‐, and midparent‐offspring regressions in the blue tit. Phenotypic variation in growth was limited to a few dimensions only, while heritabilities were close to zero at all ages except at 2 days when a significant mother‐offspring relation was found. The phenotypic variance‐covariance matrix over ages was found to be singular, which suggests that there are trajectories for which there is no phenotypic variation, and which therefore they cannot evolve. The phenotypic growth trajectory associated with the largest amount of variation basically showed a high to moderately high covariation across ages. These results have macroevolutionary implications in terms of the outcome of selection which generally will be in terms of overall size changes but with a slow rate of change due to low heritabilities; an outcome consistent with macro‐evolutionary patterns of morphological variation in birds. A simulation study supported the conclusion that high covariances among traits and ages can impose considerable constraint on a microevolutionary scale.