Chung Ping-Yuan, Liao Chen-Tuo
Department of Agronomy, National Taiwan University, Taipei, Taiwan.
Institute of Statistical Science, Academia Sinica, Taipei, Taiwan.
Front Plant Sci. 2022 Jul 27;13:934767. doi: 10.3389/fpls.2022.934767. eCollection 2022.
A set of superior parental lines is imperative for the development of high-performing inbred lines in any biparental crossing program for crops. The main objectives of this study are to (a) develop a genomic prediction approach to identify superior parental lines for multi-trait selection, and (b) generate a software package for users to execute the proposed approach before conducting field experiments. According to different breeding goals of the target traits, a novel selection index integrating information from genomic-estimated breeding values (GEBVs) of candidate accessions was proposed to evaluate the composite performance of simulated progeny populations. Two rice ( L.) genome datasets were analyzed to illustrate the potential applications of the proposed approach. One dataset applied to the parental selection for producing inbred lines with satisfactory performance in primary and secondary traits simultaneously. The other one applied to demonstrate the application of producing inbred lines with high adaptability to different environments. Overall, the results showed that incorporating GEBV and genomic diversity into a selection strategy based on the proposed selection index could assist in selecting superior parents to meet the desired breeding goals and increasing long-term genetic gain. An R package, called IPLGP, was generated to facilitate the widespread application of the approach.
在任何作物双亲自交系培育计划中，一套优良的亲本系对于培育高性能自交系至关重要。本研究的主要目标是：（a）开发一种基因组预测方法，以识别用于多性状选择的优良亲本系；（b）生成一个软件包，供用户在进行田间试验之前执行所提出的方法。根据目标性状的不同育种目标，提出了一种整合候选种质基因组估计育种值（GEBV）信息的新型选择指数，以评估模拟后代群体的综合表现。分析了两个水稻基因组数据集，以说明所提出方法的潜在应用。一个数据集用于亲本选择，以同时培育在主要和次要性状上表现令人满意的自交系。另一个数据集用于展示培育对不同环境具有高适应性的自交系的应用。总体而言，结果表明，将GEBV和基因组多样性纳入基于所提出选择指数的选择策略中，可以帮助选择优良亲本，以实现预期的育种目标，并增加长期遗传增益。生成了一个名为IPLGP的R软件包，以促进该方法的广泛应用。
