A computer-based retrieval system for plant breeding material

Andrews, D. J.; Hardwick, R. C.; Hardaker, J. M.

doi:10.1007/bf00023724

Cited by 10 publications

(4 citation statements)

References 4 publications

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“…Plant breeders typically deal with hundreds or thousands of genotypes for which they need to manage seed lots and store performance data and genealogical information. Some breeders used databases before the advent of the microcomputer (Andrews and Hardwick, 1982;Andrews et al, 1978). Later work includes that of Mulitze (1990).…”

Section: Databases In Agroecological Researchmentioning

confidence: 99%

A Database for Agroecological Research Data: I. Data Model

Evert¹,

Spaans

Krieger

et al. 1999

Agronomy Journal

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Data from agroecological experiments are typically stored in a collection of minimally documented computer files, with additional information entered into field or lab books. As a result of this fragmentation of data and lack of proper documentation, information may be lost and data manipulation is generally cumbersome, error‐prone, and hard to automate. Modern database technology has the potential to resolve these issues. Storing experiment data in a database solves the problem of fragmentation because all data are in the database; the problem of documentation is solved by making the relations between different items of information explicit during the design of the database; and the problem of manipulation is solved by the powerful query languages available with modern database management systems. As a first step in the construction of a generally applicable database for use in agroecological research, we used a formal method to design a data model that explicitly describes the types of information (‘entities’) one may want to remember about experiments and the relationships between these entities. The data model described here consists of 40 entities and 54 relationships. The entities are classified in five categories: (i) experiments, including statistical design; (ii) objects on which measurements are made; (iii) measurement protocol and equipment; (iv) measurements; and (v) field operations. We describe in detail how the information from several common types of measurements is stored using the proposed data model and conclude that the data model adequately describes the information that scientists in agroecological disciplines need to remember about their experiments.

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Section: Databases In Agroecological Researchmentioning

confidence: 99%

A Database for Agroecological Research Data: I. Data Model

Evert¹,

Spaans

Krieger

et al. 1999

Agronomy Journal

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“…Several computer packages were available which were suitable to do some of the operations . ROGERS (1975), TALBOT & ROBINSON (1980) and ANDREws et al . (1978ANDREws et al .…”

Section: Introductionmentioning

confidence: 99%

A new data base computer package for plant breeders

Brown

1984

Euphytica

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A computer data base package, specifically designed to be used to store data collected from a plant breeding programme is described . The package will do many of the routine clerical operations involved in plant breeding, such as producing plot labels, field plans, genotype lists and data tabulations. It also has several statistical analysis routines, and routines which allow the user to examine and manipulate data . The package is user friendly since it was designed to be operated by plant breeders rather than computing specialists . Although it was written to handle data collected from a plant breeding programme, the package is flexible and could be used for a number of different applications .

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“…Two areas of work are involved; the field experiments and the seed collection. In an earlier paper (ANDREWS et al, 1978) we described a computer-based system which was developed for curating seed collections. The present paper describes how this system has been extended to deal with the tasks associated with the preparation, running and summarising of field experiments.…”

Section: Introductionmentioning

confidence: 99%

“…For field experiments of 1000 plots generating 1000 new accessions at harvest the amount of computer workspace required is in the order of 100 kbytes. The programs described in this paper, together with those described earlier (ANDREWS et al, 1978) form an integrated system for plant breeders which was designed to perform all the clerical tasks associated with a Phaseolus improvement programme (CONwaY & INNES, 1981). It should be applicable to most breeding projects.…”

Section: Introductionmentioning

confidence: 99%