The research findings of the pig genomics and breeding team at Huazhong Agricultural University were recently published in the Journal of Big Data under the title "SIMER: an accurate and intelligent tool for simulating customizable population data across species in complex scenarios".

This study has led to the creation of a groundbreaking breeding planning and population big data simulation software known as SIMER. The software allows for the precise simulation of multi-generation genotypes with diverse genetic parameters and multi-trait phenotypes of varying complexities, based on the principles of quantitative genetics. It helps breeders tailor breeding value evaluation models and comprehensive selection indices for their breeding strategies.

SIMER boasts three functionalities that make it stand out from other simulation software. Firstly, it is the sole breeding data simulation tool capable of accommodating various breeding methods, simulating genotype data across humans, animals, plants, and microorganisms. Secondly, it excels in accurately simulating phenotype data by leveraging a mixed linear model framework, incorporating user-specified covariates, fixed effects, random effects, genetic variance, and genetic correlations as intricate target parameters. Lastly, it is capable of forming and comparing breeding plans, allowing breeders to optimize their breeding programs.

SIMER also boasts features involving cloning, random mating, multi-line crosses, and other innovative breeding methods. It is a pioneer of precise simulation algorithms for genetic correlations and multi-trait variance components. Its four major functional modules – genotype simulation, phenotype simulation, population simulation, and breeding plan comparison – make it a formidable tool in genetic breeding research and industry.

The four major functional modules of SIMER include genotype simulation, phenotype simulation, population simulation, and breeding plan comparison. [Photo/news.hzau.edu.cn]