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Prediction of selection gains in Coffea canephora based on factorial scores

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dc.contributor.author Ferreira, Adésio
dc.contributor.author Cecon, Paulo Roberto
dc.contributor.author Cruz, Cosme Damião
dc.contributor.author Ferrão, Romário Gava
dc.contributor.author Silva, Marcia Flores da
dc.contributor.author Fonseca, Aymbiré Francisco Almeida da
dc.contributor.author Ferrão, Maria Amélia Gava
dc.date.accessioned 2024-05-27T23:05:42Z
dc.date.available 2024-05-27T23:05:42Z
dc.date.issued 2004
dc.identifier.citation FERREIRA, A. et al. Prediction of selection gains in Coffea canephora based on factorial scores. Crop Breeding and Applied Biotechnology, Viçosa, v. 4, n. 3, p. 298-304, 2004. pt_BR
dc.identifier.uri https://cbab.sbmp.org.br/wp-content/uploads/2023/09/Cbab-43-298-304.pdf pt_BR
dc.identifier.uri http://www.sbicafe.ufv.br/handle/123456789/14383
dc.description.abstract The technique of factor analysis in the simultaneous selection of traits and prediction of genetic gains was evaluated in Coffea canephora var. conilon. Fourteen traits in 40 assessed genotypes were evaluated at two sites. The technique was used aiming at the structuring and simplification of the data, without information loss and with biological interpretation. The experimental design was of randomized blocks in four replications, each plot containing two useful plants. The technique was efficient for the data simplification and structuring. Moreover, the estimates of the predicted gains in the traits involved in the factors showed magnitude near the direct selection gain, attesting the suitability of the technique and its use in improvement programs of the species. pt_BR
dc.format pdf pt_BR
dc.language.iso en pt_BR
dc.publisher Crop Breeding and Applied Biotechnology pt_BR
dc.rights Open Access pt_BR
dc.subject Coffee pt_BR
dc.subject Genetics and plant improvement pt_BR
dc.subject Multivariate analysis pt_BR
dc.subject.classification Cafeicultura::Genética e melhoramento pt_BR
dc.title Prediction of selection gains in Coffea canephora based on factorial scores pt_BR
dc.type Artigo pt_BR

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