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dc.contributor.authorOLIVEIRA, T. R. A. deeng
dc.contributor.authorCARVALHO, H. W. L. deeng
dc.contributor.authorOLIVEIRA, G. H. F.eng
dc.contributor.authorCOSTA, E. F. N.eng
dc.contributor.authorGRAVINA, G. de A.eng
dc.contributor.authorSANTOS, R. D. doseng
dc.contributor.authorCARVALHO FILHO, J. L. S. deeng
dc.date.accessioned2019-12-20T18:09:23Z-
dc.date.available2019-12-20T18:09:23Z-
dc.date.created2019-12-20
dc.date.issued2019
dc.identifier.citationBragantia, v. 78, n. 2, p. 166-174, 2019.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1117410-
dc.descriptionThe cultivation of genotypes non-adapted to the cultivation region of interest is among the main factors responsible for low yield. The aim of the present study is to select hybrid maize through GGE biplot analysis and to assess its adaptability and stability in different environments in Northeastern Brazil. Twenty-five hybrid maize cultivars were assessed in ten different environments in Northeastern Brazil in 2012 and 2013 based on the randomized block design, with two replications. The analysis of variance and assessment of genotype adaptability and stability were made through GGE biplot analysis, based on grain yield. Analysis of variance results showed different performances depending on the genotype, as well as genotype/environment interaction. The biplot analysis was efficient on data interpretation and represented 63.73% of the total variation in the first two main components, it also allowed classifying the ten environments into three macro-environments. Most environments were positively correlated. Hybrids 2 B 604 HX, 30 A 95 HX, 2 B 587 HX and 2 B 710 HX were responsive and stable. Hybrid 30 A 16 HX was recommended for macro-environments2 and 3. Cultivar 30 A 68 HX was recommended to environment 1. São Raimundo das Mangabeiras and Nova Santa Rosa counties were discriminating and representative. Nossa Senhora das Dores, Umbaúba, Teresina, Brejo, Frei Paulo, Colinas and Balsa counties were ambiguous and non-recommended for further evaluations.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectMelhoramento de plantaseng
dc.subjectAnálise biplot GGEeng
dc.subjectAnalise multivariadaeng
dc.subjectSeleção híbridaeng
dc.titleHybrid maize selection through GGE biplot analysis.eng
dc.typeArtigo de periódicoeng
dc.date.updated2019-12-20T18:09:23Z
dc.subject.thesagroMilhoeng
dc.subject.thesagroMelhoramento Genético Vegetaleng
dc.subject.nalthesaurusPlant breedingeng
riaa.ainfo.id1117410eng
riaa.ainfo.lastupdate2019-12-20
dc.identifier.doi10.1590/1678-4499.20170438eng
dc.contributor.institutionTÂMARA REBECCA ALBUQUERQUE DE OLIVEIRA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIROeng
dc.contributor.institutionHELIO WILSON DE LEMOS CARVALHO, CPATCeng
dc.contributor.institutionGUSTAVO HUGO FERREIRA OLIVEIRA, UNIVERSIDADE FEDERAL DE SERGIPEeng
dc.contributor.institutionEMILIANO FERNANDES NASSAU COSTA, CPATCeng
dc.contributor.institutionGERALDO DE AMARAL GRAVINA, UNIVERSIDADE ESTADUAL DO NORTE FLUMINENSE DARCY RIBEIROeng
dc.contributor.institutionRAFAEL DANTAS DOS SANTOS, CPATSAeng
dc.contributor.institutionJOSÉ LUIZ SANDES DE CARVALHO FILHO, UNIVERSIDADE FEDERAL RURAL DE PERNAMBUCO.eng
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