ArticleG3 (Bethesda, Md.)2020
MoBPS - Modular Breeding Program Simulator.
Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed, 107 citations in OpenAlex.
- OptOrch: a modular optimization toolkit for forest tree seed orchard deployment.G3 (Bethesda, Md.) · 2026Article
- Using deep learning models as a genetic architecture for the simulation of breeding schemes.G3 (Bethesda, Md.) · 2026Article
- Methods to detect selection history in a population under ongoing directional selection.Genetics · 2026Article
- Targeted allele frequency tuning in breeding populations via alternative optimum contribution selection.Genetics · 2026Article
- Stochastic simulations to optimize genomic selection for laying hens: Impact of generation interval and genotyping in the context of extended laying period.Poultry science · 2026Article
- Bridging tradition and innovation: a review of computer simulations in plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Restructuring breeding programs 2: Assortative mating for improved commercial genetic gain when using optimum contribution selection and diversity introduction.Genetics, selection, evolution : GSE · 2026Article
- Restructuring breeding programs 1: Integration of diversity.Genetics, selection, evolution : GSE · 2026Article
- Strategies to improve on selection based on estimated breeding values.Genetics, selection, evolution : GSE · 2026Article
- Article
- Optimising the Use of Cryopreserved Genetic Resources for the Selection and Conservation of Animal Populations.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Derivation of prediction error variance for non-genotyped individuals in genomic selection.Frontiers in genetics · 2026Article
- Mating system of free-ranging domestic dogs and its consequences for dog evolution.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Exploring intra-varietal variation for complex traits in grapevine (Vitis vinifera L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Optimization of recurrent rapid cycle breeding in maize for sustained long-term genetic improvement via stochastic simulations.G3 (Bethesda, Md.) · 2025Article
- Practical Considerations When Using Mendelian Sampling Variances for Selection Decisions in Genomic Selection Programs.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Genomic selection strategies for the German Merino sheep breeding programme - A simulation study.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Analysis of different genotyping and selection strategies in laying hen breeding programs.Genetics, selection, evolution : GSE · 2025Article
- GOplan: an R package for animal breeding program design via integrating Gene Flow and Bayesian optimization methods.G3 (Bethesda, Md.) · 2025Article
- Optimization of breeding program design through stochastic simulation with evolutionary algorithms.G3 (Bethesda, Md.) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.