Helium: visualization of large scale plant pedigrees

Paul D. Shaw (Lead / Corresponding author), Martin Graham, Jessie Kennedy, Iain Milne, David F. Marshall

    Research output: Contribution to journalArticle

    21 Citations (Scopus)
    143 Downloads (Pure)

    Abstract

    Plant breeders use an increasingly diverse range of data types to identify lines with desirable characteristics suitable to be taken forward in plant breeding programmes. There are a number of key morphological and physiological traits, such as disease resistance and yield that need to be maintained and improved upon if a commercial variety is to be successful. Computational tools that provide the ability to integrate and visualize this data with pedigree structure, will enable breeders to make better decisions on the lines that are used in crossings to meet both the demands for increased yield/production and adaptation to climate change.
    Original languageEnglish
    Article number259
    Number of pages15
    JournalBMC Bioinformatics
    Volume15
    DOIs
    Publication statusPublished - Aug 2014

    Keywords

    • Alleles
    • Breeding
    • Computational Biology
    • Cooperative Behavior
    • Genotype
    • Hordeum
    • Phenotype
    • Phylogeny

    Fingerprint Dive into the research topics of 'Helium: visualization of large scale plant pedigrees'. Together they form a unique fingerprint.

  • Cite this

    Shaw, P. D., Graham, M., Kennedy, J., Milne, I., & Marshall, D. F. (2014). Helium: visualization of large scale plant pedigrees. BMC Bioinformatics, 15, [259]. https://doi.org/10.1186/1471-2105-15-259