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Primate disease and breeding rates.

A Chamove, G Cameron, V Nash

    Laboratory Animals
    |October 1, 1979
    PubMed
    Summary
    This summary is machine-generated.

    This study compared 33 primate species over three years, finding low correlations between popularity, birth, illness, and death rates in laboratory settings. Some species showed distinct high birth or low illness rates.

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    Area of Science:

    • Primate research
    • Comparative biology
    • Laboratory animal science

    Background:

    • Understanding health and demographic patterns in captive primate populations is crucial for welfare and research.
    • Variability in birth, illness, and death rates among species can impact colony management and study outcomes.

    Purpose of the Study:

    • To compare birth, illness, and death rates across 33 primate species.
    • To investigate correlations between these demographic factors and species popularity over three years of laboratory housing.
    • To identify species with particularly high or low rates in these categories.

    Main Methods:

    • Comparative analysis of demographic data (birth, illness, death rates).
    • Data collected over a three-year period for 33 distinct primate species.

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  • Statistical examination of correlations between rates and species popularity.
  • Main Results:

    • Low correlations were observed between species popularity, birth, illness, and death rates.
    • Highest birth rate: Macaca nemestrina. Highest illness rate: Pongo pygmaeus. Highest death rate: Cercopithecus aethiops.
    • Lowest birth rate: Lemur catta. Lowest illness rate: Sanguinus mystax. Lowest death rate: Galago crassicaudatus. Galago crassicaudatus and Macaca fascicularis exhibited low disease and high birth rates.

    Conclusions:

    • Primate species exhibit diverse demographic profiles in laboratory settings.
    • Species-specific factors influence birth, illness, and death rates independently of popularity.
    • Galago crassicaudatus and Macaca fascicularis may serve as models for low disease incidence and high reproductive success.