Pedigree records in plant breeding: From independent data to interdependent data structures

C. Kuti, L. Láng, Z. Bedo

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The storage of wheat data in computers began in the mid-eighties in Martonvásár, and was accompanied by the development of the first simple programs to assist the data management of routine breeding tasks. The great expansion of breeding materials and the demand for new applications have led to an enormous increase in the number of data and have made data processing increasingly more complicated. Data storage facilities and computer programs reflecting an outdated technological level were unable to keep pace with developments. Data storage and applications had to be redesigned on new lines to create a completely new information system amalgamating know-how from breeding and informatics. The paper introduces an extremely important part of this system: pedigree records, which contain the designations of all the genotypes included in traditional field breeding programmes and in the gene bank, together with crossing data, phenotypes and genomic data. An up-to-date, consistent pedigree register is one of the key components in the breeding information system, without which the maintenance and alteration of the names of plant species (wheat, barley, oats, etc.) and linking them to experiments and experimental quality data would be an extremely complex, time-consuming task. It would be even more difficult to keep track of all the genotypes and the increasingly large numbers of related lines from year to year. In addition to describing the rationale behind the system, details will be given on the tools and conditions required for the establishment of the pedigree records, and the internal and external sources available. Finally, some practical examples will be given of how the Martonvásár wheat breeding information system has been applied.

Original languageEnglish
Pages (from-to)911-918
Number of pages8
JournalCereal Research Communications
Volume34
Issue number2-3
DOIs
Publication statusPublished - Oct 13 2006

Keywords

  • Agroinformatics
  • Applications
  • Breeding
  • Pedigree
  • Software

ASJC Scopus subject areas

  • Physiology
  • Agronomy and Crop Science
  • Genetics

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