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dc.contributorTadesse, Wuletawen_US
dc.contributorSarker, Ashutoshen_US
dc.contributorMaalouf, Fouaden_US
dc.contributorImtiaz, Muhammaden_US
dc.contributorCapettini, Flavioen_US
dc.contributorMiloudi, Nachiten_US
dc.creatorSingh, Murarien_US
dc.date2013-03-15en_US
dc.date.accessioned2017-07-23T22:45:36Z
dc.date.available2017-07-23T22:45:36Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifierhttp://libcatalog.cimmyt.org/download/reprints/98317.pdfen_US
dc.identifierhttps://dl.sciencesocieties.org/publications/cs/abstracts/53/3/811en_US
dc.identifierhttps://www.researchgate.net/publication/235928517_Capturing_the_Heterogeneity_of_the_Error_Variances_of_a_Group_of_Genotypes_in_Crop_Cultivar_Trialsen_US
dc.identifierhttp://dx.doi.org/10.2135/cropsci2012.11.0637en_US
dc.identifier.citationMurari Singh, Ashutosh Sarker, Fouad Maalouf, Wuletaw Tadesse, Muhammad Imtiaz, Nachit Miloudi, Flavio Capettini. (15/3/2013). Capturing the Heterogeneity of the Error Variances of a Group of Genotypes in Crop Cultivar Trials. Crop Science, 53(3), pp. 611-818.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/7208
dc.description.abstractAppropriate experimental designs provide an efficient estimate of cultivar performance by allowing better control of experimental error. The standard approach assumes homogeneity of experimental error variances across plots. However, a given trial may involve genotypes having different scales of response and/or associated with plots with different error variances. This study on cereal and legume trials detected the heterogeneity of the error variances associated with genotypes or groups of genotypes. A hierarchical clustering method, using absolute plot residuals, was used to group the genotypes. The heterogeneity of the error variances was determined using the difference in the deviances resulting from models based on an assumed homogeneity and heterogeneity of the error variances and on an adjusted level of significance for the chosen threshold for cluster formation. The efficiency of pairwise genotype comparisons, based on heterogeneous error variances, ranged from 105 to 116% for the cereals and from 124 to 254% for the legumes. Variations in the estimates of heritability and genetic gain resulting from selection were substantial. Accounting for the heterogeneous error variances, on average, led to higher estimates of heritability and genetic gain in each of the crop trials examined. This study found that heterogeneous variance, varying with the groups of genotypes, was frequent. The approach presented here is recommended for the analysis of cultivar trials.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherCrop Science Society of Americaen_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceCrop Science;53,(2013) Pagination 611,818en_US
dc.subjecthierarchical clustering methoden_US
dc.subjectpairwise genotype comparisonsen_US
dc.titleCapturing the Heterogeneity of the Error Variances of a Group of Genotypes in Crop Cultivar Trialsen_US
dc.typeJournal Articleen_US
cg.creator.ID0000-0001-5450-0949en_US
cg.creator.ID0000-0003-1175-3502en_US
cg.creator.ID0000-0002-9074-4876en_US
cg.creator.ID0000-0002-7642-7102en_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocagricultureen_US
cg.subject.agrovoclegumesen_US
cg.subject.agrovoccerealsen_US
cg.subject.agrovocgenotypesen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInternational Maize and Wheat Improvement Center - CIMMYTen_US
cg.contributor.crpCRP on Dryland Systems - DSen_US
cg.contributor.funderInternational Fund for Agricultural Development - IFADen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-dateTimelessen_US
cg.coverage.regionNorthern Africaen_US
cg.coverage.regionWestern Asiaen_US
cg.coverage.regionCentral Americaen_US
cg.coverage.countryEGen_US
cg.coverage.countryLBen_US
cg.coverage.countryMXen_US
cg.coverage.countrySYen_US
cg.contactM.SINGH@CGIAR.ORGen_US
dc.identifier.statusTimeless limited accessen_US


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