Prediction of selection gains in Coffea canephora based on factorial scores

dc.contributor.authorFerreira, Adésio
dc.contributor.authorCecon, Paulo Roberto
dc.contributor.authorCruz, Cosme Damião
dc.contributor.authorFerrão, Romário Gava
dc.contributor.authorSilva, Marcia Flores da
dc.contributor.authorFonseca, Aymbiré Francisco Almeida da
dc.contributor.authorFerrão, Maria Amélia Gava
dc.date.accessioned2024-05-27T23:05:42Z
dc.date.available2024-05-27T23:05:42Z
dc.date.issued2004
dc.description.abstractThe 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.formatpdfpt_BR
dc.identifier.citationFERREIRA, 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.urihttps://cbab.sbmp.org.br/wp-content/uploads/2023/09/Cbab-43-298-304.pdfpt_BR
dc.identifier.urihttp://www.sbicafe.ufv.br/handle/123456789/14383
dc.language.isoenpt_BR
dc.publisherCrop Breeding and Applied Biotechnologypt_BR
dc.rightsOpen Accesspt_BR
dc.subjectCoffeept_BR
dc.subjectGenetics and plant improvementpt_BR
dc.subjectMultivariate analysispt_BR
dc.subject.classificationCafeicultura::Genética e melhoramentopt_BR
dc.titlePrediction of selection gains in Coffea canephora based on factorial scorespt_BR
dc.typeArtigopt_BR

Arquivos

Pacote original

Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
Cbab-43-298-304.pdf
Tamanho:
120.71 KB
Formato:
Adobe Portable Document Format
Descrição:
Texto completo

Licença do pacote

Agora exibindo 1 - 1 de 1
Nenhuma Miniatura Disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição: