Exact(8)
We model the evolution of a quantitative trait under selection that fluctuates in space and time, and derive an analytical condition for when these fluctuations promote genetic diversification.
We consider a simple computational model of the evolution of a quantitative trait and its phenotypic plasticity based on directional and positive frequency-dependent selection in order to explore whether and how leaning might facilitate evolution under the dynamics that arise from communicative interactions among individuals.
The evolution of a quantitative trait depends on the magnitude of heritability but also on the genetic and environmental correlations with other traits [4], [11], [37].
As such, we have to recognize the real biochemical limitations that particular genes impose on the evolution of a quantitative trait, and recognize that there are regions of phenotypic space that may simply be inaccessible [50], [51].
He considered the evolution of a quantitative trait that is determined by linear reaction norms.
Specifically, we consider the evolution of a quantitative trait in a gradually changing environment.
Similar(50)
By testing natural variation at this gene, we have also demonstrated the utility of forward genetics in identifying loci that contribute to the evolution of a complex quantitative trait.
The model is the first to provide a complete quantitative description of the evolution of a char's structure for a pulverized coal during rapid heating.
We constructed an individual-based eco-genetic model (for an overview of eco-genetic modeling, see Dunlop et al. 2009b) to follow the evolution of four quantitative life-history traits: growth capacity, reproductive investment, and the intercept and slope of a linear probabilistic maturation reaction norm (PMRN; described in detail below).
The evolution of the quantitative efficacy parameters will also be assessed, by group, for the different time periods, using a repeated measures analysis.
Here, we focus on the less far-reaching question of the role of plasticity in the evolution of existing quantitative traits.
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