MoBPS - Modular Breeding Program Simulator. Issue 6 (1st June 2020)

• Record Type: Journal Article
• Authors: Pook, Torsten; Schlather, Martin; Simianer, Henner
• Is Part Of: G3. Volume 10:Issue 6(2020)
• Page Start: 1915
• Page End: 1918
• Publication Date: 2020-06-01
• Subjects: R-package simulation breeding breeding program resource management population genetics; Genetics -- Research -- Periodicals; Genomics -- Periodicals; Genetics; Genomics; Genes; Genetics -- Research; Genomics; Electronic journals; Periodical; Periodicals; Fulltext; Internet Resources; Periodicals; 572.8
• DOI: 10.1534/g3.120.401193
• Languages: English
• ISSNs: 2160-1836

Abstract

Abstract: The R-package MoBPS provides a computationally efficient and flexible framework to simulate complex breeding programs and compare their economic and genetic impact. Simulations are performed on the base of individuals. MoBPS utilizes a highly efficient implementation with bit-wise data storage and matrix multiplications from the associated R-package miraculix allowing to handle large scale populations. Individual haplotypes are not stored but instead automatically derived based on points of recombination and mutations. The modular structure of MoBPS allows to combine rather coarse simulations, as needed to generate founder populations, with a very detailed modeling of todays' complex breeding programs, making use of all available biotechnologies. MoBPS provides pre-implemented functions for common breeding practices such as optimum genetic contributions and single-step GBLUP but also allows the user to replace certain steps with personalized and/or self-written solutions.