ArticleCommunications biology2022
Blib is a multi-module simulation platform for genetics studies and intelligent breeding.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Bridging tradition and innovation: a review of computer simulations in plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- A genome-wide association study to elucidate the genetic basis of the cottonseed protein content in Upland cotton (Breeding science · 2026Article
- Repeated chip analysis for reducing the effect of genotyping errors on gene mapping for two recombinant inbred line populations in wheat (Triticum aestivum L.).BMC plant biology · 2025Article
- Genetic Basis and Simulated Breeding Strategies for Enhancing Soybean Seed Protein Content Across Multiple Environments.Plants (Basel, Switzerland) · 2025Article
- Detection of genes associated with soybean protein content using a genome-wide association study.Plant molecular biology · 2025Article
- QTN mapping, gene prediction, and simulation breeding of four-seed pod numbers in soybean.Frontiers in plant science · 2025Article
- Identification of reliable QTLs and designed QTL breeding for grain shape and milling quality in the reciprocal introgression lines in rice.BMC plant biology · 2024Article
- Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis.Frontiers in plant science · 2023Article
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3 authors.
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Abstract
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.
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