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No mutual mate choice for quality in zebra finches: Time to question a widely held assumption

机译:Zebra Finches的质量没有相互配合的选择:是时候质疑一个广泛持有的假设

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Studies of mate choice typically assume that individuals prefer high quality mates and select them based on condition-dependent indicator traits. In species with biparental care, mutual mate choice is expected to result in assortative mating for quality. When assortment is not perfect, the lower quality pair members are expected to compensate by increased parental investment to secure their partner (positive differential allocation). This framework has been assumed to hold for monogamous species like the zebra finch (Taeniopygia guttata), but progress has been hampered by the difficulty to define individual quality. By combining multiple measures of causes (inbreeding, early nutrition) and consequences (ornaments, displays, fitness components) of variation in quality into a single principal component, we here show that quality variation can be quantified successfully. We further show that variation in quality indeed predicts individual pairing success, presumably because it reflects an individual’s vigor or ability to invest in reproduction. However, despite high statistical power, we found no evidence for either assortative mating or for positive differential allocation. We suggest that zebra finch ornaments and displays are not sufficiently reliable for the benefits of choosiness to exceed the costs of competition for the putative best partner. To assess the generality of these findings unbiased quantification of signal honesty and preference strength is required, rather than selective reporting of significant results.
机译:伴侣选择的研究通常假设个体更喜欢高质量的配对,并根据条件依赖性指标特征选择它们。在患有千分之一的物种中,相互配偶的选择预计将导致品质的各种交配。当分类并不完美时,较低质量的对成员预计会通过增加的父母投资来补偿以确保其伴侣(正差分分配)。该框架已被认为是Zebra Finch(Taeniopygia Guttata)这样的单甘草物种,但通过难以定义个人质量的进展受到阻碍。通过将质量变化的多种原因(近亲繁殖,早期营养)和后果(装饰,显示,健身组分)组合成单个主要成分,我们在此表明​​可以成功量化质量变化。我们进一步表明,质量的变化确实预测了个别配对成功,可能是因为它反映了个人的活力或投资再生产能力。然而,尽管统计能力很高,但我们发现没有证据表明各种交配或正差分分配。我们建议Z​​ebra Finch装饰品和显示器对选择性的好处不够可靠,以超越推定最佳伴侣的竞争成本。为了评估这些发现的一般性,需要不偏见的信号诚实和偏好强度的量化,而不是选择性报告显着的结果。

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