Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/897610
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dc.contributor.authorHEINEMANN, A. B.pt_BR
dc.contributor.authorSENTELHAS, P. C.pt_BR
dc.date.accessioned2011-08-09T11:11:11Zpt_BR
dc.date.accessioned2011-08-09T11:11:11Zpt_BR
dc.date.available2011-08-09T11:11:11Zpt_BR
dc.date.available2011-08-09T11:11:11Zpt_BR
dc.date.created2011-08-09pt_BR
dc.date.issued2011pt_BR
dc.identifier.citationIn: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 17., 2011, Guarapari. Riscos climáticos e cenários agrícolas futuros: anais. Guarapari: Incaper, 2011.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/897610pt_BR
dc.descriptionThe goal of this study explores possibilities to adjust the upland rice regional breeding systems to optimally fit the range of environments they are targeting, based on a historical yield data set of the IBGE. The specific objectives of this study were: to identify and classify environment groups in the Brazilian upland rice (UPR) production area; to validate these environment groups using yield data set from the upland rice multi-trial experiments (MTEs); and to identify the most representative site for each environment group. For that, the historical upland rice yield data from 54 microregions were detrented from the effects of technological advances and adjusted to the reference year, 2006. A matrix was built with the adjusted yield data and submitted to a cluster analysis allowing to identify three different environment groups. These groups were classified as: high favourable environment (HFE); favourable environment (FE); and low favourable environment (LFE). The HFE has as characteristic being less affected by inter-annual rainfall variability than the other two. KEYWORDS: environment classification, cluster analysis, yield.pt_BR
dc.format1 CD-ROM.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectAnálise de agrupamentopt_BR
dc.subjectClassificação de ambientespt_BR
dc.subjectYieldpt_BR
dc.titleIdentification of mega environments in the Brazilian upland rice production area.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2011-08-09T11:11:11Zpt_BR
dc.subject.thesagroArrozpt_BR
dc.subject.thesagroOryza sativapt_BR
dc.subject.thesagroProdutividadept_BR
dc.subject.thesagroAnálise estatísticapt_BR
dc.subject.nalthesaurusCluster analysispt_BR
riaa.ainfo.id897610pt_BR
riaa.ainfo.lastupdate2011-08-09pt_BR
dc.contributor.institutionALEXANDRE BRYAN HEINEMANN, CNPAF; PAULA CESAR SENTELHAS, ESALQ.pt_BR
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