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Relational Database System for Summarization and Interpretation of Hard Winter Wheat Regional Quality Data

Dep. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO 80523
Agricultural Information Technologies, Iroquois, SD 57353

Bradford W. Seabourn and Okkyung K. Chung

USDA-ARS, Grain Marketing and Production Research Center, Hard Winter Wheat Quality Laboratory, Manhattan, KS 66502

^* Corresponding author (shaley{at}lamar.colostate.edu).

Achieving acceptable end-use (milling and baking) quality is a fundamental objective of wheat (Triticum aestivum L.) breeding programs throughout the U.S. hard winter wheat region. Numerous analytical methods have been developed to measure quality. Few tools are available to assist in the decision-making process when faced with a large number of parameters from comprehensive milling and baking tests. Our objective was to develop a relational database system for summarization and interpretation of wheat end-use quality data from the USDA-ARS Hard Winter Wheat Quality Laboratory. The database system uses a graphical interface with a series of "layouts" that require input from the user, guide the user to a successive layout, or provide a data report. The database system provides simultaneous assessment of multiple quality traits on a standardized scale, userspecified prioritization of end-use quality traits for numerical and qualitative ratings of genotypes, tabulation of major quality deficiencies of genotypes, and summarization of quality ratings for a genotype across multiple nurseries. The database system has specific application to the hard winter wheat regional testing program; however, the basic principle and design could be readily extended to nursery-based enduse quality testing programs in other wheat regions and market classes.

Received for publication December 18, 1997.

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