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isqg: a binary framework for in silico quantitative genetics

Author: Toledo, F.H.
Author: Perez-Rodriguez, P.
Author: Crossa, J.
Author: Burgueño, J.
Year: 2019
ISSN: 2160-1836 (Print)
URI: https://hdl.handle.net/10883/20224
Language: English
Publisher: Genetics Society of America
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Place: Bethesda, MD (USA)
Pages: 2425-2428
Journal Issue: 8
Journal: G3: Genes, Genomes, Genetics
Journal Volume: 9
DOI: 10.1534/g3.119.400373
Agrovoc: BIOINFORMATICS
Agrovoc: RECOMBINATION
Agrovoc: SIMULATION
Agrovoc: GENETICS
Related Datasets: https://cran.r-project.org/package=isqg
Related Datasets: https://doi.org/10.25387/g3.8162051


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  • Genetic Resources
    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP

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