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Estimation of genetic parameters and selection of Coffea canephora progenies evaluated in Brazilian Western Amazon

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dc.contributor.author Bergo, Celso Luis
dc.contributor.author Miqueloni, Daniela Popim
dc.contributor.author Lunz, Aureny Maria Pereira
dc.contributor.author Assis, Giselle Mariano Lessa de
dc.date.accessioned 2021-07-28T17:02:26Z
dc.date.available 2021-07-28T17:02:26Z
dc.date.issued 2020
dc.identifier.citation BERGO, C. L. et al. Estimation of genetic parameters and selection of Coffea canephora progenies evaluated in Brazilian Western Amazon. Coffee Science, Lavras, v. 15, p. 1-10, 2020. pt_BR
dc.identifier.issn 1984-3909
dc.identifier.uri https://doi.org/10.25186/.v15i.1663 pt_BR
dc.identifier.uri http://www.sbicafe.ufv.br/handle/123456789/12753
dc.description.abstract Coffee 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. pt_BR
dc.format pdf pt_BR
dc.language.iso en pt_BR
dc.publisher Editora UFLA pt_BR
dc.relation.ispartofseries Coffee Science:v.15;
dc.rights Open Access pt_BR
dc.subject ‘Conilon’ or ‘Kouilou’ coffee pt_BR
dc.subject Breeding pt_BR
dc.subject Mixed models pt_BR
dc.subject.classification Cafeicultura::Genética e melhoramento pt_BR
dc.title Estimation of genetic parameters and selection of Coffea canephora progenies evaluated in Brazilian Western Amazon pt_BR
dc.type Artigo pt_BR

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