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dc.contributor.authorCAPISTRANO, M. da C.
dc.contributor.authorANDRADE NETO, R. de C.
dc.contributor.authorSANTOS, V. B. dos
dc.contributor.authorLESSA, L. S.
dc.contributor.authorRESENDE, M. D. V. de
dc.contributor.authorGURGEL, F. de L.
dc.date.accessioned2021-01-06T09:01:55Z-
dc.date.available2021-01-06T09:01:55Z-
dc.date.created2021-01-05
dc.date.issued2020
dc.identifier.citationComunicata Scientiae, v. 12, e3411, 2020.
dc.identifier.issn2176-9079 (Print) / 2177-5133 (Online)
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1128974-
dc.descriptionEvaluations with sweet oranges are usually performed in several harvests and places to verify the differential behavior according to the environmental variations. This makes the selection by traditional statistical methodologies more and more difficult since they have limitations in the case of data unbalanced, common in citrus during the experimental phase due to the possibility of plot loss over the years. The objective of this work was to estimate the temporal stability and adaptability of sweet orange genotypes cultivated in eight crops under the edaphoclimatic conditions of Rio Branco, Acre. The experimental design used was in randomized blocks containing 55 genotypes and three replications. Four agronomic characteristics were evaluated during eight harvests. The genetic parameters were estimated using the REML/BLUP methodology. After detecting the presence of significant interaction between genotypes and environments, stability and adaptability analyzes were conducted by the methods of the harmonic mean of the genotypic values (HMGV), the relative performance of the genetic values (RPGV) and the harmonic mean of the relative performance of the genotypic values (HMRPGV). The HMRPGV can be used to select stable, adapted and productive sweet orange genotypes. The number 48, 19, 5, 14, 2, 47 and 37 sweet orange genotypes can be selected for cultivation in an environment similar to the one studied, as they simultaneously present high stability, adaptability and productivity.
dc.language.isoeng
dc.rightsopenAccesseng
dc.subjectSweet oranges
dc.subjectInteração genótipo-ambiente
dc.subjectInteracción genotipo-ambiente
dc.subjectEstabilidade genética
dc.subjectGenotype adaptability
dc.subjectAclimatación
dc.subjectGenética cuantitativa
dc.subjectGranjas de demostración
dc.subjectAnálisis estadístico
dc.subjectEmbrapa Acre
dc.subjectRio Branco (AC)
dc.subjectAcre
dc.subjectAmazônia Ocidental
dc.subjectWestern Amazon
dc.subjectAmazonia Occidental
dc.titleStability and adaptability of sweet orange using mixed models.
dc.typeArtigo de periódico
dc.subject.thesagroLaranja Doce
dc.subject.thesagroCitrus Sinensis
dc.subject.thesagroAclimatação
dc.subject.thesagroCampo Experimental
dc.subject.thesagroAnálise Quantitativa
dc.subject.thesagroMétodo Estatístico
dc.subject.nalthesaurusAcclimation
dc.subject.nalthesaurusGenotype-environment interaction
dc.subject.nalthesaurusQuantitative genetics
dc.subject.nalthesaurusGenetic stability
dc.subject.nalthesaurusDemonstration farms
dc.subject.nalthesaurusStatistical analysis
dc.description.notesPublicado no site da revista como v. 12, 2021.eng
riaa.ainfo.id1128974
riaa.ainfo.lastupdate2021-02-19 -02:00:00
dc.identifier.doihttps://doi.org/10.14295/CS.v12.3411
dc.contributor.institutionMárcia da Costa Capistrano, Universidade Federal do Acre (Ufac); ROMEU DE CARVALHO ANDRADE NETO, CPAF-AC; Vanderley Borges dos Santos, Universidade Federal do Acre (Ufac); LAURO SARAIVA LESSA, CPAF-AC; MARCOS DEON VILELA DE RESENDE, CNPF; FABIO DE LIMA GURGEL, CPATU.
Aparece nas coleções:Artigo em periódico indexado (CPAF-AC)

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