A relational database system for potato breeding programs

Abstract

Using a desktop database management system (DBMS), a relational database system was developed to replace outdated systems for data storage, retrieval and summary in a potato breeding research program. The new system allows for easy and efficient access, storage and interrelation of potato data, and automated reporting functions to support presentation and analysis requirements of the research program. DBMS tools and programmed functions provide summary information pertaining to such areas as potato plant genealogy and progeny performance in early selection, regional adaptation and disease resistance trials. Database structures have been implemented to facilitate the collection and verification of new data, interface to a hand-held data collection computer, and transfer report data and charts to standard word processing and presentation software. The concepts and techniques used in the construction of this database system can be applied to other potato and plant breeding programs

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Literature Cited

  1. Litwin, P., K. Getz, and M. Gilbert. 1997. Access 97 Developer’s Handbook. 3rded. SYBEX Inc., San Francisco, CA. 1544 pp.

    Google Scholar 

  2. Elmasri, R., and Navathe S.B. 1994. Fundamentals of Database Systems. 2nded. The Benjamin/Cummings Publishing Company, Inc., Redwood City, CA. 873 pp.

    Google Scholar 

  3. Lynch, D.R. and G.C. Kozub. 1988. An analysis of the response of nine potato genotypes to five prairie environments. Can J Plant Sci 68:1219–1228.

    Google Scholar 

  4. Lynch, D.R. and G.C. Kozub. 1991. The association between potato tuber yield and the components of yield in irrigated and dryland environments in the prairies. Can J Plant Sci 71:279–287.

    Google Scholar 

  5. Lynch, D.R. and E.L. Dyck. eds. 1982–1993. Prairie Potato Regional Trial Report. Agriculture and Agri-Food Canada, Lethbridge Research Centre, Lethbridge. Alberta. TlJ 4B1

    Google Scholar 

  6. Que Development Group. 1994. Using Paradox 5 for Windows. Special ed. Que Corporation, Hollis, NH. 1200 pp.

    Google Scholar 

  7. SAS Institute Inc. 1989. SAS/STAT User’s Guide, version 6. 4thed. SAS Institute Inc., Cary, NC. 1686 pp.

    Google Scholar 

  8. Borland International Inc. 1992. Paradox 7 for Windows 95, version 7. 564 pp.

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Correspondence to J. G. Kozub or D. R. Lynch.

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Kozub, J.G., Lynch, D.R., Kozub, G.C. et al. A relational database system for potato breeding programs. Am. J. Pot Res 77, 95–101 (2000). https://doi.org/10.1007/BF02853736

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Additional Key Words

  • Reports
  • graphics
  • selection
  • Microsoft Access™