Davis G P, DeNise S K
CSIRO Tropical Agriculture, Brisbane, Australia.
J Anim Sci. 1998 Sep;76(9):2331-9. doi: 10.2527/1998.7692331x.
Genetic marker technologies, such as marker-assisted selection, parentage identification, and gene introgression can be applied to livestock selection programs. Highly saturated genetic maps are now available for cattle, swine, and sheep to provide the genetic framework for developing MAS programs. These programs rely on three phases for commercialization of the technology: the detection phase, in which quantitative trait loci are located and their effects on the phenotype measured; the evaluation phase, in which the markers are evaluated in commercial populations; and the implementation phase, in which markers are combined with phenotypic and pedigree information in genetic evaluation for predicting the genetic merit of individuals within the population. Predicting the economic impact of genetic technologies is a complex process that requires quantitative prediction and economic analysis. Evaluating the impact of these benefits across an industry can be achieved through a process in which gains from implementation of a genetic technology are assessed at the individual, enterprise, and industry levels. A pattern of annual benefits and costs can be predicted using gene flows that can be evaluated by conventional economic analysis.
遗传标记技术,如标记辅助选择、亲子鉴定和基因渐渗,可应用于家畜选育计划。目前,牛、猪和羊都有高度饱和的遗传图谱,为制定标记辅助选择计划提供了遗传框架。这些计划的技术商业化依赖三个阶段:检测阶段,即定位数量性状位点并测量其对表型的影响;评估阶段,即在商业群体中评估标记;实施阶段,即将标记与表型和系谱信息结合进行遗传评估,以预测群体内个体的遗传价值。预测遗传技术的经济影响是一个复杂的过程,需要进行定量预测和经济分析。通过在个体、企业和行业层面评估遗传技术实施所获得的收益,可以实现对整个行业这些效益影响的评估。利用基因流动可以预测年度收益和成本模式,而基因流动可通过传统经济分析进行评估。