Search Results - Database management

  1. Data sharing and ontology use among agricultural genetics, genomics, and breeding databases and resources of the Agbiodata Consortium by Clarke, Jennifer L., Cooper, Laurel D., Poelchau, Monica F., Berardini, Tanya Z., Elser, Justin, Farmer, Andrew D., Ficklin, Stephen, Kumari, Sunita, Laporte, Marie-Angélique, Nelson, Rex T., Sadohara, Rie, Selby, Peter, Thessen, Anne E., Whitehead, Brandon, Sen, Taner Z.

    Published 2024
    “…Over the last couple of decades, there has been a rapid growth in the number and scope of agricultural genetics, genomics and breeding databases and resources. The AgBioData Consortium (https://www.agbiodata.org/) currently represents 44 databases and resources (https://www.agbiodata.org/databases) covering model or crop plant and animal GGB data, ontologies, pathways, genetic variation and breeding platforms (referred to as 'databases' throughout). …”
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    Journal Article
  2. Computer program for flume and weir design by Clemmens, A.J., Bos, M.G., Groenestein, J.M., Replogle, J.A.

    Published 1996
    Subjects: “…water management…”
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    Book Chapter
  3. Report of a Working Group on Prunus: Eighth meeting, 7-9 September 2010, Forlì, Italy by Maggioni, L., Lateur, M., Balsemin, E., Lipman, E., Bioversity International, European Cooperative Programme for Plant Genetic Resources

    Published 2011
    “…Successful examples of such networks will be made available on the Web, to serve as a model for other countries.The progress made in the European Prunus Database (EPDB) managed by INRA-Bordeaux, France, was presented. …”
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    Artículo preliminar
  4. solGS: a webbased tool for genomic selection by Tecle, I.Y., Edwards, J.D., Menda, N., Egesi, Chiedozie N., Rabbi, Ismail Y., Kulakow, Peter A., Kawuki, R.S., Jannink, Jean-Luc, Mueller, L.

    Published 2014
    “…Raw data is stored in a generic database schema, Chado Natural Diversity, co-developed by multiple database groups. …”
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    Journal Article
  5. Linking genotype to phenotype: the International Rice Information System (IRIS) by Bruskiewich, Richard M., Cosico, Alexander B., Eusebio, William, Portugal, Arllet M., Ramos, Luralyn M., Reyes, Ma. Teresa, Sallan, May Ann B., Ulat, Victor Jun M., Wang, Xusheng, McNally, Kenneth L., Hamilton, Ruaraidh Sackville, McLaren, Christopher Graham

    Published 2003
    “…The International Rice Information System (IRIS, http://www.iris.irri.org) is the rice implementation of the International Crop Information System (ICIS, http://www.icis.cgiar.org), a database system for the management and integration of global information on genetic resources and germplasm improvement for any crop. …”
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    Journal Article
  6. Tailoring the documentation of plant genetic resources in Europe to the needs of the user: Workshop of the ECPGR Documentation and Information Working Group, 20-22 May 2014, Prague... by Maggioni, L., Hintum, T.J.L. van, Lipman, E., Bioversity International, European Cooperative Programme for Plant Genetic Resources

    Published 2014
    “…This workshop, attended by 49 participants from 29 different countries, gathered a selected group of National Inventory Focal Points, ECPGR Central Crop Database managers and international experts of PGR documentation and informatics. …”
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    Conference Paper
  7. TROPIS: Tree Growth and Permanent Plot Information System by Vanclay, J.K.

    Published 1998
    “…TROPIS, the Tree Growth and Permanent Plot Information System, contains five elements: (1) a network of people willing to share permanent plot data and tree growth information, serviced by newsletters and information sources hosted at http:/'/www.cgnet.or g/cifor/research/tropis.htmI (or available from CIFOR), (2) an index of people and institutions holding permanent plot data, (3) a database management system to assist more efficient data management, (4) a system to facilitate site -matching by identifying comparable sites and allowing foreign data to be used when no local growth information exists, and (5) an inference system to allow growth estimates to be made in the absence of empirical data. …”
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    Journal Article
  8. Serving up Data on Nutrient Composition of Aquatic Foods by Cohen, Philippa, Consalez, Fabio, Ahern, Molly, Masangwi, Sitilitha, Rittenschober, Doris, Holmes, Bridget, Kjellevold, Marian, Golden, Christopher, Hicks, Christina

    Published 2022
    “…But nutrient measures for many species, food types and geographies are unavailable, and are prohibitively expensive to measure. So, databases that house the data that do exist are incredibly valuable for health practitioners, fisheries managers, researchers and policy makers. …”
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    Poster

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