Institute for Bee Research Hohen Neuendorf, Hohen Neuendorf, Germany.
J Anim Breed Genet. 2022 Nov;139(6):666-678. doi: 10.1111/jbg.12728. Epub 2022 Jul 1.
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.
遗传和剩余方差是最佳线性无偏预测(BLUP)育种值估计的重要输入参数。在蜜蜂中,这些方差的估计值通常与较大的标准误差相关联,这意味着在错误的前提下进行遗传评估存在风险。到目前为止,还没有充分研究这些后果。特别是,在多性状选择或蜜蜂的遗传特性方面,没有足够的关于这个主题的调查。我们进行了模拟研究,探讨了在具有广泛真实和假设遗传参数的蜜蜂群体中进行选择的后果。我们发现,在单性状评估中,假设错误的参数几乎不会影响选择的反应,因此,20 年后遗传进展的减少从未超过 21%。表型选择似乎不如 BLUP 选择优越,尤其是在低遗传力下。遗传评估的参数选择对近交发展有很大影响。通过错误地假设高遗传力,可以将近交率降低多达 74%。当对两个性状进行平行选择时,正确选择遗传参数显得尤为重要,因为几个错误的前提条件导致其中一个性状的意外负选择。这种现象发生在多个表现出负遗传相关的选择性状的组合中。它没有反映在估计的育种值中。我们的结果表明,育种工作严重依赖于遗传参数的详细知识,特别是在进行多性状选择时。因此,应该投入大量精力进行精确的参数估计。