Blib is a multi-module simulation platform for genetics studies and intelligent breeding

文献类型： 外文期刊

第一作者： Zhang, Luyan

作者： Zhang, Luyan;Li, Huihui;Wang, Jiankang;Zhang, Luyan;Li, Huihui;Wang, Jiankang;Li, Huihui;Wang, Jiankang

作者机构：

期刊名称：COMMUNICATIONS BIOLOGY （ 影响因子：6.548； 五年影响因子：6.816 ）

ISSN：

年卷期： 2022 年 5 卷 1 期

页码：

收录情况： SCI

摘要： Simulation is an efficient approach for the investigation of theoretical and applied issues in population and quantitative genetics, and animal and plant breeding. In this study, we report a multi-module simulation platform called Blib, that is able to handle more complicated genetic effects and models than existing tools. Two derived data types are first defined in Blib, one to hold the required information on genetic models, and the other one to represent the genetics and breeding populations. A number of subroutines are then developed to perform specific tasks. Four case studies are present as examples to show the applications of Blib, i.e., genetic drift of multiple alleles in randomly mating populations, joint effects of neutral mutation and genetic drift, comparison of mass versus family selection, and choice of testers in hybrid breeding. Blib together with its application modules, has great potential to benefit theoretical genetic studies and intelligent breeding by simulating and predicting outcomes in a large number of scenarios, and identifying the best optimum selection and crossing schemes. Blib handles complex genetic effects and simulates large amounts of scenarios to identify the most optimum selection and cross schemes for intelligent breeding.

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