A MODEL FOR IMPLEMENTING COMPUTER DATA BASE SYSTEMS FROM MAIZE VARIETY PERFORMANCE DATASETS IN NIGERIA

Daniel I O, Ajala M O

Abstract


Performance data of maize varieties at different locations need to be accurate and accessible to stimulate the improvement of the Nigerian maize seed system. This paper describes a database model to implement a simple computerized information system for maize varieties and their performance at various locations in Nigeria. Entity-Relationship modelling was used to identify relevant data and their relational structure from subsets of maize germplasm trial data with Microsoft AccessTM Relational Database Management System software. The model has the capacity to provide detailed variety performance information in relation to cropping environment with specific search queries when the relevant data is properly documented. Such facility will benefit seed producers who will determine seed materials that meet specific market and production challenges of farmers' with greater precision. Plant breeders can also use the information system for breeding plans and policy makers can use it as a Decision Support System (DSS).


Keywords


Electronic database, maize performance data modelling.

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References


Cormak. R. S. and Moore, A. W. 1980. Modelling of land resource data for computer storage and retrieval. In: A. W. Moore, B. G. Cook and L. G. Lynch (Eds.). Proceedings of the second Australian

meeting of the ISSS Working Group on Soil Information Systems. Pp. 8-24.

Craig, C. J. and Webb, J. 1999. Microsoft Visual Basic 6.0 Programmer's Toolbox. 5'I' Edition, Microsoft Press. US.

Darwen, H. and Date, J. C. 1998. Foundation for Object/Relational Databases. Addison-Wesley Publishing Co. UK.

Hannaway, D. B., Belie, J. P., Shuler, P. E., Ballerstedt P. J. and Younes, M. B. 1992. ACE: Alfalfa cultivar expert. J Prod. Agric. 5 :85-88.

Hawkes, J. G. 1997. A database for wild and cultivated potatoes. Euphytica 93 :155-161.

McLaren, C., White, J. W. and Fox P. N. 2001. International Crop Information System (ICI S). Technical development manual. IRRI. Phillipines & CIMMYT, Mexico.

Menkir, A., Kling, J. G. and Ajala S. O. 2002. Evaluation of elite maize germplasm in West and Central Africa. Report of the regional trials conducted by IITA and its collaborators, Ibadan, Nigeria. IITA.

Stallings, W. 1996. Computer Organization and Architecture. Prentice-Hall. 4'1' Edition. USA.

Tzortzios, S., Adams, G. and Gitsakis, N. 2000. An interactive biometric-oriented database system for presenting comparative information on conventional and sustainable agriculture. In: S. Nokoe (Ed.). Biometry and Quality of life. SUSAN-IBS Proceedings. Pp.205-214.

Usman, 1. A., Maini, N. S., Joshua A. and Falusi, A. O. 1992. Strategies for the national seed subsector development plan. National Seed Quarantine Project, National Seed Service, Federal Department of Agriculture, Federal Republic of Nigeria.




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