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Applying genetic markers in practical swine breeding

机译:在实用猪育种中应用遗传标记

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Over the past decade several papers have been published related to the benefits from the use of genetic markers in animal breeding. In many cases several assumptions were made to allow the simulation of molecular (marker-aided) breeding schemes. Sincemuch of the progress made in animal populations is centered on the selection of animals within outbred populations, the most common application of marker technologies studied has been marker-assisted selection (MAS). The first assumption in these simulations is usually the presence of a number of quantitative trait loci (QTL) that control a significant proportion of genetic variation for one or more traits of economic significance. Other assumptions usually include access to relatively well-spaced marker maps and access to large resource populations suitable for discovery of QTL. The general theory indicates that genetic markers located relatively near QTL can be effectively used to practice selection more efficiently than the reliance on trait phenotypes alone. Although some QTL can have sizable effects, e.g. the RN locus effect on meat quality in pigs (5), it is expected that the majority of QTL will have moderate to small effects on economic traits of interest. It is usually assumed that only QTLof large to moderate effect will be identified using markers and used in MAS schemes and the remainder of QTL of small effect will be lumped together as the 'polygenic component' and selected upon using traditional Best Linear Unbiased Prediction (BLUP)techniques. In addition to the assumptions above, it is also important to consider several trait parameters to accurately predict the relative value of genetic markers compared to traditional selection alone. These parameters include trait heritability,age at which phenotypes are expressed, sex-linked traits and the relative cost and difficulty of phenotyping versus genotyping. Since a few swine breeding companies are now actively pursuing molecular breeding programs, it is of interest to consider howrealistic these underlying assumptions are and to examine the benefits of genetic markers in practical swine breeding programs.
机译:在过去的十年中,已经出版了几篇论文与在动物育种中使用遗传标志物的益处有关。在许多情况下,进行了几种假设以允许模拟分子(标记辅助)育种方案。在动物种群中取得的进展的精心是以轰击群体的选择为中心,所研究的标记技术最常见的应用已经是标记辅助选择(MAS)。这些模拟中的第一个假设通常存在许多定量性状基因座(QT1),其控制一个或多个经济意义的一种或多种性状的遗传变异的显着比例。其他假设通常包括访问相对良好间隔的标记图和访问适合于发现QTL的大资源群体。一般理论表明,位于QTL相对接近QTL的遗传标志物可以有效地用于更有效地练习,而不是单独对特征表型的依赖性。虽然一些QTL可以具有相当大的效果,例如, RN基因座对猪肉质量的影响(5),预计大多数QTL将对感兴趣的经济性状的影响中等。通常假设只有使用标记物识别大于中等效果的QTLOF,并且在MAS方案中使用,并且QTL的剩余部分的小效果将被混在一起,作为“多基因组分”并在使用传统的最佳线性无偏见预测时被选中(Blup )技术。除了上述假设之外,对于单独的传统选择,还考虑几个特征参数来准确预测遗传标记的相对值也很重要。这些参数包括特性遗传性,表型表达表型的年龄,性关系性状和相对成本和表型与基因分型的难度。由于少数猪养殖公司现在正在积极追求分子育种计划,因此考虑这些潜在的假设是有兴趣的,这些假设是如何在实际猪养殖计划中审查遗传标志物的益处。

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