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首页> 外文期刊>The Royal Society Proceedings B: Biological Sciences >How repeatable is the estimation of developmental stability by fluctuating asymmetry?
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How repeatable is the estimation of developmental stability by fluctuating asymmetry?

机译：通过波动的不对称性估计发展稳定性的可重复性如何？

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摘要

The estimation of individual fluctuating asymmetry (FA) is subject to large sampling variabilities. Heritability estimates, as well as correlations between developmental stability and any other individual character and/or between-trait correlations, are consequently biased downward if FA is used as an estimate of an individual's ability to buffer its development against developmental noise. The estimation of the hypothetical repeatability, defined as the ratio of the between-individual component of variation in the unsigned FA divided by the total variance, allows correction for these biases such that patterns observed for FA can be translated to make inferences about the presumed underlying developmental stability. In this paper I show that previous estimates of this repeatability are incorrect. I provide a new method and show by means of simulations that the hypothetical repeatability is in most cases even lower than previously thought. This has important consequences for the analysis of FA with respect to statistical power and the interpretation of patterns in FA. [References: 12]
机译：个体波动不对称（FA）的估计会受到较大的采样变化的影响。因此，如果将FA用作评估个体缓冲其发育不受发育噪声影响的能力的估计值，则遗传力估计以及发育稳定性与任何其他个体特征之间的相关性和/或性状之间的相关性会向下偏斜。假设可重复性的估计值定义为无符号FA的个体间变化分量之比除以总方差，从而可以校正这些偏差，从而可以转换观察到的FA模式以推断出假定的潜在发展稳定。在本文中，我证明了以前对此重复性的估计是不正确的。我提供了一种新方法，并通过仿真表明，在大多数情况下，假设的可重复性甚至比以前认为的要低。这对于分析FA的统计能力和解释FA模式具有重要的意义。 [参考：12]

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