A conceptual model for describing processes of crop improvement in database structures

DeLacy, Ian H., Fox, P. N., McLaren, Graham, Trethowan, Richard and White, Jeffery W. (2009) A conceptual model for describing processes of crop improvement in database structures. Crop Science, 49 6: 2100-2112. doi:10.2135/cropsci2009.01.0020

Author DeLacy, Ian H.
Fox, P. N.
McLaren, Graham
Trethowan, Richard
White, Jeffery W.
Title A conceptual model for describing processes of crop improvement in database structures
Journal name Crop Science   Check publisher's open access policy
ISSN 0011-183X
Publication date 2009-11
Sub-type Article (original research)
DOI 10.2135/cropsci2009.01.0020
Volume 49
Issue 6
Start page 2100
End page 2112
Total pages 13
Editor Brent Godshalk
Craig A Roberts
Place of publication United States
Publisher Crop Science Society of America
Collection year 2010
Language eng
Subject C1
0703 Crop and Pasture Production
Abstract Rising research costs, broadening goals, intellectual property rights, and other concerns increase the need for robust management of crop improvement data. The data model of the International Crop Information System (ICIS) allows breeding processes to be recorded unambiguously in a relational database. This paper describes this model, which underlies the Genealogical Management System (GMS) of ICIS. The model recognizes three classes of methods by which genetic material is advanced. Generative methods such as crossing or mutagenesis increase variation. Derivative methods usually involve selection, and maintenance methods conserve the genetic makeup of germplasm, such as in seed multiplications. Unlike systems that only track pedigrees, the model describes steps of selection. Applications are illustrated for self-pollinating, outcrossing, and clonally propagated crops. The ICIS GMS is in use for species including rice (Oryza sativa L.), wheat (Triticum aestivum L.), maize (Zea mays L.), potato (Solanum tuberosum L.), common bean (Phaseolus vulgaris L.), lesquerella [Lesquerella fendleri (Gray) S. Wats.], and witloof chicory (Cichorium intybus L.). The International Rice Information System, based on ICIS, holds more than 2.6 million unique identifiers for germplasm accessions, crosses, populations, and lines, requiring about 900 megabytes of storage space, which can easily be managed on a personal computer. The GMS model appears suited for widespread use in managing data on crop improvement. © Crop Science Society of America.
Keyword Cichorium intybus
Oryza sativa
Physaria (angiosperm)
Phaseolus vulgaris
Physaria fendleri
Solanum tuberosum
Triticum aestivum
Zea mays
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
School of Agriculture and Food Sciences
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Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 12 times in Scopus Article | Citations
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Created: Sun, 22 Nov 2009, 00:06:14 EST