Analysis of Genotype x Environment Interactions for Grain Yield in Durum Wheat

cg.contactr.mohammadi@areo.iren_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerAgricultural Research, Education and Extension Organization, Dryland Agricultural Research Institute - AREEO-DARIen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_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.creator.idAmri, Ahmed: 0000-0003-0997-0276en_US
cg.date.embargo-end-dateTimelessen_US
cg.identifier.doihttps://dx.doi.org/10.1007/s12892-010-0028-5en_US
cg.isijournalISI Journalen_US
cg.issn0011-183Xen_US
cg.issn1435-0653en_US
cg.issue4en_US
cg.journalCrop Scienceen_US
cg.volume49en_US
dc.contributorAmri, Ahmeden_US
dc.creatorMohammadi, Rezaen_US
dc.date.accessioned2021-11-18T23:18:48Z
dc.date.available2021-11-18T23:18:48Z
dc.description.abstractGenotype x environment (GE) interactions are important sources of variation in crop breeding programs. The objectives of this study were (i) to analyze GE interactions on grain yield of one bread wheat (Triticum aestivum L.) and 19 durum wheat [T turgidum L. subsp. durum (Desf.) Husn.] genotypes by the additive main effects and multiplicative interaction (AMMI) model, and (ii) to evaluate genotype (G), environment (E), and GE interactions with the statistical parameters of AMMI statistic coefficient (D), AMMI stability value (ASV), regression coefficient (b) and ecovalence (W-2). Main effects due to E, G, and GE interaction as well as first three interaction principal component axes (IPCA 1 to 3) were found to be significant (P < 0.01). The AMMI biplots distinguished genotypes with wide and specific adaptation and environments with high and low genotype discrimination ability. Ranking the statistical parameters indicated that they are similar in general, especially for the genotypes with similar responses and also for the environments with similar discrimination ability. The results show that the statistical parameters as well as the AMMI model are useful for analyzing GE interaction. Based on the AMMI model, the recommended genotypes had more grain yield improvement in favorable than unfavorable environments. The genotypes selected based on stability of grain yield combined high stability and h h-yielding performance.en_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationReza Mohammadi, Ahmed Amri. (1/7/2009). Analysis of Genotype x Environment Interactions for Grain Yield in Durum Wheat. Crop Science, 49 (4), pp. 1177-1186.en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/66415
dc.languageenen_US
dc.publisherCrop Science Society of Americaen_US
dc.sourceCrop Science;49,Pagination 1177-1186en_US
dc.subjectdurum wheaten_US
dc.titleAnalysis of Genotype x Environment Interactions for Grain Yield in Durum Wheaten_US
dc.typeJournal Articleen_US
dcterms.available2009-07-01en_US
dcterms.extent1177-1186en_US
dcterms.issued2009-07-01en_US
mel.impact-factor2.096en_US

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