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固定样本搜索规则及使用指示特征评估配偶质量

The Fixed Sample Search Rule and Use of an Indicator Character to Evaluate Mate Quality.

作者信息

Wiegmann DD, Makhopadhyay K

机构信息

Department of Biological Sciences, Bowling Green State University, Bowling Green, OH 43403,, U.S.A

出版信息

J Theor Biol. 1998 Aug 21;193(4):709-715. doi: 10.1006/jtbi.1998.0737.

Abstract

The phenotypic correlation observed between mated males and females is a direct result of the decision rules that individuals employ during search for a mate. We generalise the fixed sample search rule and examine how the functional relationship between a male indicator character and the fitness benefit of a mating decision influences female search behaviour. If the phenotypes of males and females combine additively to influence the benefit of a mating decision and fitness is a highly inclined function of phenotypic values the optimal value of n, the number of males that females sample during search, is relatively large. The phenotype of the searcher has no impact on the optimal value of n if fitness is a linear function; the optimal n increases with the phenotype of females if the fitness function is convex; and a concave fitness function induces females with high trait values to sample relatively few males. Because females that sample many potential mates are expected to encounter a male with a high expression of the indicator trait linear, convex and concave fitness functions induce a random, assortive and disassortative combination of phenotypes between mated individuals, respectively. Thus, the fixed sample research tactic can produce the variety of phenotypic correlations observed between mated individuals in natural systems and our ability to derive rule-specific predictions of search behavior may generally require information on how characters used to evaluate potential mates are related to fitness.Copyright 1998 Academic Press

摘要

在已交配的雄性和雌性之间观察到的表型相关性,是个体在寻找配偶过程中所采用的决策规则的直接结果。我们推广了固定样本搜索规则,并研究了雄性指示性状与交配决策的适应性益处之间的函数关系如何影响雌性的搜索行为。如果雄性和雌性的表型以相加的方式结合起来影响交配决策的益处,并且适应性是表型值的高度倾斜函数,那么雌性在搜索过程中采样的雄性数量n的最优值相对较大。如果适应性是线性函数,搜索者的表型对n的最优值没有影响;如果适应性函数是凸函数,最优的n随着雌性的表型增加;而凹的适应性函数会导致具有高性状值的雌性采样相对较少的雄性。因为预计采样许多潜在配偶的雌性会遇到具有指示性状高表达的雄性,线性、凸性和凹性适应性函数分别导致已交配个体之间出现随机、 assortive和disassortative的表型组合。因此,固定样本研究策略可以产生在自然系统中已交配个体之间观察到的各种表型相关性,并且我们推导搜索行为的特定规则预测的能力通常可能需要关于用于评估潜在配偶的性状如何与适应性相关的信息。版权所有1998年学术出版社

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