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dc.contributorStreet, Kennethen_US
dc.contributorMackay, Michaelen_US
dc.contributorBari, Abdallahen_US
dc.contributorDe Pauw, Eddyen_US
dc.creatorEndresen, Dag Terje Filipen_US
dc.date2011-09-01en_US
dc.date.accessioned2022-03-30T22:27:14Z
dc.date.available2022-03-30T22:27:14Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationDag Terje Filip Endresen, Kenneth Street, Michael Mackay, Abdallah Bari, Eddy De Pauw. (1/9/2011). Predictive Association between Biotic Stress Traits and Eco-Geographic Data for Wheat and Barley Landraces. Crop Science, 51 (5), pp. 2036-2055.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/67295
dc.description.abstractCollections of crop genetic resources are a valuable source of new genetic variation for economically important traits, including resistance to crop diseases. New sources of useful crop traits are often identified through evaluation in field trials. The number of relevant accessions in genebank collections available to be evaluated is often substantially larger than the capacity of the evaluation project. The focused identification of germplasm strategy (FIGS) is an approach used to select subsets of germplasm from genetic resource collections in such a way as to maximize the likelihood of capturing a specific trait. This strategy uses a range of methods to link the expression of a specific trait (of a target crop) with the eco-geographic parameters of the original collection site. This study contributes to the development of the approach by which a FIGS subset could be assembled for biotic traits. We have evaluated trait-specific subset selection methods for two fungal crop diseases, namely stem rust (Puccinia graminis Pers.) in wheat (Triticum aestivum L. and Triticum turgidum L.) and net blotch (Pyrenophora teres Drechs.) in barley (Hordeum vulgare L.). The results indicate that the climate layers from freely available eco-geographic databases are well suited to model and predict the reaction in these crops to biotic stress traits. This result has the potential to improve the efficiency of field screening trials to find novel sources of economically valuable crop traits.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherCrop Science Society of Americaen_US
dc.rightsCopyrighted; all rights reserveden_US
dc.sourceCrop Science;51,(2011) Pagination 2036,2055en_US
dc.subjectdiseaseen_US
dc.subjectpopulationsen_US
dc.subjectcore collectionen_US
dc.subjectagreementen_US
dc.subjectconservationen_US
dc.subjectresistanceen_US
dc.subjectpartial least-squaresen_US
dc.subjectgenetic-resourcesen_US
dc.subjectBarleyen_US
dc.titlePredictive Association between Biotic Stress Traits and Eco-Geographic Data for Wheat and Barley Landracesen_US
dc.typeJournal Articleen_US
cg.creator.idBari, Abdallah: 0000-0001-6918-2736en_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocevolutionen_US
cg.subject.agrovocidentificationen_US
cg.contributor.centerNordic Genetic Resources Center (NordGen)en_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerBioversity International - Bioversityen_US
cg.contributor.funderNordic Genetic Resources Center (NordGen)en_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-dateTimelessen_US
cg.coverage.regionGlobalen_US
cg.contactdag.endresen@gmail.comen_US
dc.identifier.statusTimeless limited accessen_US
mel.impact-factor2.319en_US


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