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dc.contributor.authorBERGO, C. L.
dc.contributor.authorMIQUELONI, D. P.
dc.contributor.authorLUNZ, A. M. P.
dc.contributor.authorASSIS, G. M. L. de
dc.date.accessioned2020-06-17T02:05:52Z-
dc.date.available2020-06-17T02:05:52Z-
dc.date.created2020-06-16
dc.date.issued2020
dc.identifier.citationCoffee Science, v. 15, e151663, 2020.
dc.identifier.issn1984-3909
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1123301-
dc.descriptionCoffee has emerged as an economic alternative culture in the State of Acre, Brazil, but without a clonal variety recommended for the state to overcome the unevenness presented by seed crops. Thus, in order to estimate genetic parameters and indicate progenies of Coffea canephora to compose a clonal variety for the State of Acre, yield, vegetative vigor and plant height were evaluated in five harvests of a randomized complete block experiment with 46 progenies, 4 repetitions and 10 plants per plot by mixed model methodology (REML/BLUP). The harvests were evaluated individually, by the model that considers one harvest, one location and the mean of progenies, and joint analysis (all harvests), by repeatability model with stability and temporal adaptability by the harmonic mean of relative performance of genotypic values method (MHPRVG), with genotypic values of progenies grouped by the Tocher method. There was variability, with possibility of selection, only for grain yield. The yield was strongly affected by production bienniality, with high environmental influence and harvests mean ranging from 14.13±4.60 to 46.20±14.94 bags ha-1 and individual heritabilities from 0.10 to 0.44. Sixteen ?Conilon? coffee progenies with selection gains above 23% were selected. The MHPRVG method allows the refinement of progeny selection throughout the harvests, identifying the most adapted and stable.
dc.language.isopor
dc.rightsopenAccesspt_BR
dc.subjectCafé Conilon
dc.subjectMétodo REML/BLUP
dc.subjectModelo mixto
dc.subjectMixed model
dc.subjectFitomejoramiento
dc.subjectVariación genética
dc.subjectPrueba de progenie
dc.subjectEnsayos de variedades
dc.subjectAnálisis estadístico
dc.subjectEmbrapa Acre
dc.subjectAcre
dc.subjectRio Branco (AC)
dc.subjectAmazônia Ocidental
dc.subjectWestern Amazon
dc.subjectAmazonia Occidental
dc.titleEstimation of genetic parameters and selection of Coffea canephora progenies evaluated in Brazilian Western Amazon.
dc.typeArtigo de periódico
dc.subject.thesagroCafé
dc.subject.thesagroCoffea Canephora
dc.subject.thesagroParâmetro Genético
dc.subject.thesagroMelhoramento Genético Vegetal
dc.subject.thesagroTeste de Progênie
dc.subject.thesagroComportamento de Variedade
dc.subject.thesagroAnálise Estatística
dc.subject.thesagroCampo Experimental
dc.subject.nalthesaurusPlant breeding
dc.subject.nalthesaurusGenetic variation
dc.subject.nalthesaurusProgeny testing
dc.subject.nalthesaurusVariety trials
dc.subject.nalthesaurusStatistical analysis
riaa.ainfo.id1123301
riaa.ainfo.lastupdate2020-06-16
dc.contributor.institutionCELSO LUIS BERGO, CPAF-AC
dc.contributor.institutionDANIELA POPIM MIQUELONI, UNIVERSIDADE FEDERAL DO ACREpor
dc.contributor.institutionAURENY MARIA PEREIRA LUNZ, CPAF-ACpor
dc.contributor.institutionGISELLE MARIANO LESSA DE ASSIS, CPAF-AC.por
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