Veerkamp R F, Beerda B
Animal Breeding and Genomics Centre, ASG, Wageningen UR, The Netherlands.
Theriogenology. 2007 Sep 1;68 Suppl 1:S266-73. doi: 10.1016/j.theriogenology.2007.04.034. Epub 2007 May 24.
Improving dairy cow fertility by means of genetic selection is likely to become increasingly important, since it is now well established that declining fertility cannot only be arrested by improved management. Profit margins per kg milk produced are decreasing, therefore farmers need to reduce cost and increase herd size. This restricts the labor input per cow and the disposable cost of getting a cow pregnant, whilst at the same time hormone treatments have become less acceptable. This makes it unlikely that additional management interventions will maintain fertility at acceptable levels in the near future. Genetic improvement seems the obvious solution. Effective selection tools are available in most Western countries using traditional breeding value estimation procedures. Also, in addition to gene assisted selection using individual genes or QTL, high throughput Single Nucleotide Polymorphism (SNP) technology allows genetic improvement of fertility based on information from the whole genome (tens of thousands SNP per animal), i.e. genomic selection. Simulation studies have shown that genomic selection improves the accuracy of selecting juvenile animals compared with traditional breeding methods and compared with selection using information from a few genes or QTL only. Research in the areas genomics and proteomics promise to make genetic selection even more effective. The genomic and proteomics technologies combined with the bioinformatics tools that support the interpretation of gene functioning and protein expression facilitate an exciting starting point for the development of new management strategies and tools for the improvement of reproductive performance.
通过基因选择提高奶牛繁殖力可能会变得越来越重要,因为目前已经明确,仅靠改善管理并不能阻止繁殖力的下降。每生产一公斤牛奶的利润率在降低,因此农民需要降低成本并扩大牛群规模。这限制了每头奶牛的劳动力投入以及使奶牛怀孕的可支配成本,与此同时,激素治疗变得越来越难以接受。这使得在不久的将来,额外的管理干预措施不太可能将繁殖力维持在可接受的水平。基因改良似乎是显而易见的解决方案。在大多数西方国家,使用传统的育种值估计程序可以获得有效的选择工具。此外,除了使用单个基因或QTL进行基因辅助选择外,高通量单核苷酸多态性(SNP)技术还允许基于来自全基因组的信息(每头动物数万个SNP)对繁殖力进行基因改良,即基因组选择。模拟研究表明,与传统育种方法相比,以及与仅使用少数基因或QTL的信息进行选择相比,基因组选择提高了选择幼年动物的准确性。基因组学和蛋白质组学领域的研究有望使基因选择更加有效。基因组学和蛋白质组学技术与支持基因功能和蛋白质表达解释的生物信息学工具相结合,为开发提高繁殖性能的新管理策略和工具提供了一个令人兴奋的起点。