蜜蜂单性状和多性状遗传评估中不正确遗传参数估计的后果。

Manuel Du, Richard Bernstein, Andreas Hoppe, Kaspar Bienefeld
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引用次数: 2

摘要

遗传方差和残差方差是最佳线性无偏预测(BLUP)育种价值估计的重要输入参数。在蜜蜂中,对这些差异的估计通常与较大的标准误差有关,这导致在错误的前提下进行遗传评估的风险。其后果尚未得到充分研究。特别是,在这个问题上没有足够的调查,说明蜜蜂的多性状选择或遗传特性。我们进行了模拟研究,并在广泛的真实和假设的遗传参数下探索了蜜蜂种群选择的后果。我们发现,在单性状评估中,对选择的反应几乎不会因假设错误的参数而受到影响,因此20年后遗传进展的减少从未超过21%。表型选择表现为优于BLUP选择,特别是在低遗传力条件下。遗传评价参数的选择对近交发育有很大影响。由于错误地假设高遗传率,近交率降低了74%。当对两个性状进行平行选择时,遗传参数的正确选择显得相当重要,因为几个错误的前提会导致其中一个性状的无意负选择。这一现象发生在多个星座,其中选择性状表现为负遗传相关。它没有反映在估计的育种值中。我们的研究结果表明,育种工作在很大程度上依赖于对遗传参数的详细了解,特别是在进行多性状选择时。因此,应该在精确的参数估计上投入相当大的努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consequences of incorrect genetic parameter estimates for single-trait and multi-trait genetic evaluations in honeybees.

Genetic and residual variances of traits are important input parameters for best linear unbiased prediction (BLUP) breeding value estimation. In honeybees, estimates of these variances are often associated with large standard errors, entailing a risk to perform genetic evaluations under wrong premises. The consequences hereof have not been sufficiently studied. In particular, there are no adequate investigations on this topic accounting for multi-trait selection or genetic peculiarities of the honeybee. We performed simulation studies and explored the consequences of selection for honeybee populations with a broad range of true and assumed genetic parameters. We found that in single-trait evaluations, the response to selection was barely compromised by assuming erroneous parameters, so that reductions in genetic progress after 20 years never exceeded 21%. Phenotypic selection appeared inferior to BLUP selection, particularly under low heritabilities. Parameter choices for genetic evaluation had great effects on inbreeding development. By wrongly assuming high heritabilities, inbreeding rates were reduced by up to 74%. When parallel selection was performed for two traits, the right choice of genetic parameters appeared considerably more crucial as several incorrect premises yielded inadvertent negative selection for one of the traits. This phenomenon occurred in multiple constellations in which the selection traits expressed a negative genetic correlation. It was not reflected in the estimated breeding values. Our results indicate that breeding efforts heavily rely on detailed knowledge on genetic parameters, particularly when multi-trait selection is performed. Thus, considerable effort should be invested into precise parameter estimations.

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