While some prey species possess an innate recognition of their predators, others require learning to recognize their predators. The specific characteristics of the predators that prey learn and whether prey can generalize this learning to similar predatory threats have been virtually ignored. Here, we investigated whether fathead minnows that learned to chemically recognize a specific predator ...

Two lines of rainbow trout selected for high (HR) and low (LR) responsiveness to a standardised confinement stressor displayed a sustained divergence in plasma cortisol levels during a 3-h period of confinement (max.: HR: 167+/-13 ng ml(-1); LR: 103+/-8 ng ml(-1); P<0.001). However, no significant difference in plasma ACTH levels was evident (max: HR: 153+/-9 pg ml(-1); LR: 142+/-7 pg ml(-1)). ...

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The development of rainbow trout Oncorhynchus mykiss strains that are resistant to whirling disease has shown promise as a management tool for populations in areas where Myxobolus cerebralis is present. However, the physiological effects of the disease on characteristics necessary for fish survival in natural river conditions have not been tested in many of these strains. Five rainbow trout str...

A method for estimating the number of founding chromosomes in an isolated population is introduced. The method assumes that n/2 diploid individuals are sampled from a population and that alleles are identified at L unlinked loci. The population is assumed to have been founded T generations in the past by individuals carrying c chromosomes drawn randomly from a known source population, which has...

The response characteristics of auditory neurons in the multimodal midbrain torus semicircularis of rainbow trout were analyzed to examine their topography and functional differences. This analysis included the localization of recording sites, the measurement of spontaneous activity, the ratio of transient/sustained activity, and the synchronization, latency, preferred direction and directional...

Among-individual heterogeneity in growth is a commonly observed phenomenon that has clear consequences for population and community dynamics yet has proved difficult to quantify in practice. In particular, observed among-individual variation in growth can be difficult to link to any given mechanism. Here, we develop a Bayesian state-space framework for modeling growth that bridges the complexit...