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Updated: Feb 17, 2026

A Standardized Protocol for Preference Testing to Assess Fish Welfare
Published on: February 22, 2020
The Preference for Social Affiliation Renders Fish Willing to Accept Lower O2 Levels
Abstract:
Animals are bombarded with information about their environment and must select and interpret the relevant cues to make behavioral adjustments critical to survival. How animals integrate and balance the many signals they receive about their environment is rarely assessed. We investigated how signals from the social and physical environment interact to influence environmental preferences in the endemic Tanganyikan cichlid Neolamprologus pulcher. Specifically, we explored how fish respond to the physiological challenge of declining O2 levels in light of embedded social preferences using a modified shuttle box apparatus to test O2 preferences. In the presence of a conspecific, the average (preferred) partial pressure of oxygen (Po2) and minimum Po2 experienced were significantly lower ([Formula: see text] and [Formula: see text] kPa, respectively) than in trials without a conspecific ([Formula: see text] and [Formula: see text] kPa, respectively). Fish with conspecifics also spent more time in the low Po2 zone of the shuttle box and moved between the high and low Po2 zones less frequently. Hence, O2 preferences were modified, and fish willingly remained in an area of continuously declining O2 availability to associate with a conspecific. The O2 preferences of an individual during social trials correlated with its excess postexercise O2 consumption following an exhaustive chase but not with its aerobic scope, routine O2 consumption rate, or body mass. These results suggest that some aspects of respiratory and metabolic physiology (such as the propensity to use anaerobic metabolism) but not others (such as O2 transport capacity) underpin some variation in social behavior under environmental stress.
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Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...

