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  • 1
    ISSN: 1572-8889
    Keywords: Schistocerca ; grasshopper ; learning ; aversion ; novelty ; polyphagy ; dietary mixing
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Schistocerca americanasixth-instar nymphs were examined for a change in diet acceptance, in which insects experiencing an unfavorable diet subsequently become predisposed to eat relatively less of that diet and more of diets with a novel flavor than they would had they previously fed on a more adequate diet. Insects were pretreated for 4 h on either low-protein (2 % wet wt) or higherprotein (4%) artificial diets flavored with a plant secondary compound (tomatine or rutin). They were then offered, in choice or no-choice tests, the lowprotein diet with the familiar or a novel (tomatine, rutin, or NHT) flavor. When tomatine was the familiar and rutin the novel flavor in a no-choice test, the insects previously fed low-protein diets took relatively long meals on the novel and relatively short meals on the familiar diets compared with the insects that had previously eaten higher-protein diets. A similar, but in this case considerably less pronounced and statistically nonsignificant, pattern existed in the reciprocal design experiment in which rutin was the familiar and tomatine the novel flavor. Similarly, insects fed low-protein diets flavored with rutin subsequently showed an increased relative preference for the novel flavor (NHT) in a choice test, compared with the high protein-pretreated insects. It is concluded that insects fed protein-deficient diets may subsequently show a preference for novel foods through different mechanisms, the importance of which may differ in different circumstances.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Entomologia experimentalis et applicata 62 (1992), S. 221-231 
    ISSN: 1570-7458
    Keywords: Nutritional indices ; ratios ; analysis of covariance ; statistics
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Some statistical problems are added to the growing list of cautionary tales regarding the use of the conventional, ratio-based nutritional indices (RCR, RGR, ECI, AD and ECD). Analysis of ratios is based on the, probably unrealistic, assumption of an isometric relationship between denominator and numerator variables. Analysis of covariance (ANCOVA) makes less restrictive assumptions, and additionally provides important information about the data which is lost by using ratio variables. We demonstrate, using computer-generated data sets, some of the pitfalls of statistical analysis of ratios and illustrate how these may be avoided using ANCOVA. Some possible consequences of such statistical iniquities for biological interpretations are discussed.
    Type of Medium: Electronic Resource
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