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ABSTRACT: Background
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.Results
We have used a large and unique set of experimental barley (H. vulgare) data to develop a prototype pedigree visualizat
SUBMITTER: Shaw PD
PROVIDER: S-EPMC4133633 | biostudies-literature | 2014 Aug
REPOSITORIES: biostudies-literature