INRA, UMR 0320/UMR 8120 Génétique Végétale, F-91190 Gif-sur-Yvette, France.
J Hered. 2013 Jul-Aug;104(4):586-90. doi: 10.1093/jhered/est020. Epub 2013 Apr 10.
Current advances in plant genotyping lead to major progress in the knowledge of genetic architecture of traits of interest. It is increasingly important to develop decision support tools to help breeders and geneticists to conduct marker-assisted selection methods to assemble favorable alleles that are discovered. Algorithms have been implemented, within an interactive graphical interface, to 1) trace parental alleles throughout generations, 2) propose strategies to select the best plants based on estimated molecular scores, and 3) efficiently intermate them depending on the expected value of their progenies. With the possibility to consider a multi-allelic context, OptiMAS opens new prospects to assemble favorable alleles issued from diverse parents and further accelerate genetic gain.
当前植物基因型分析的进展推动了人们对相关性状遗传结构知识的重大进步。开发决策支持工具来帮助育种者和遗传学家利用标记辅助选择方法来整合有利等位基因变得越来越重要。我们已经在交互式图形界面中实现了算法,以 1)在各世代中追踪亲本等位基因,2)根据估计的分子分数提出选择最佳植物的策略,以及 3)根据后代的预期值高效地进行它们之间的杂交。通过考虑多等位基因的情况,OptiMAS 为整合来自不同亲本的有利等位基因并进一步加速遗传增益开辟了新的前景。