Prediction of selection gains in Coffea canephora based on factorial scores

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Data

2004

Autores

Ferreira, Adésio
Cecon, Paulo Roberto
Cruz, Cosme Damião
Ferrão, Romário Gava
Silva, Marcia Flores da
Fonseca, Aymbiré Francisco Almeida da
Ferrão, Maria Amélia Gava

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Editor

Crop Breeding and Applied Biotechnology

Resumo

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.

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Palavras-chave

Coffee, Genetics and plant improvement, Multivariate analysis

Citação

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.

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