Prediction of genetic value for coffee production in Coffea arabica from a half-diallel with lines and hybrids

Cilas Christian, Bouharmont Pierre, Boccara Michel, Eskes Albertus, Baradat Philippe. 1998. Prediction of genetic value for coffee production in Coffea arabica from a half-diallel with lines and hybrids. Euphytica, 104 : pp. 49-59.

Journal article ; Article de revue à facteur d'impact
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Autre titre : Prévision de la valeur génétique pour la productivité de Coffea arabica à partir d'un demi-diallèle de lignées et d'hybrides

Abstract : Genetic analysis of yield and morphological traits bas been carried out in #Coffea arabica# from a half-diallel including the parental lines. The trial was established in west Cameroon with completely randomized single-tree plots. Observations included yield (four years), stem diameter, height and number of primaries. General combining abilities (GCA) and specific combining abilities (SCA) as heritabilities and genetic correlations were estimated. A significant SCA variance was observed for all the traits. Morphological traits, stem diameter, plant height and number of primaries, were genetically correlated to the yield. The hybrids were, on average, better performing than lines. There was no clear relationship between performance of lines and their general combining ability. Contribution of the seven lines to the SCA sum of squares was shown to be unequal for all the studied traits, one parent (Java) being far the most interactive. This variation of interactivity seemed to be related to different levels of residual heterozygosity among parental lines. Indirect prediction of yield using morphological traits gave the same value for expected genetic gain as the prediction based on cumulated yield over four years. The multitrait indirect selection for yield operated in a different way as far as GCA and SCA are concerned. The application of these results to coffee breeding strategies involving hybrid selection is discussed. (Résumé d'auteur)

Mots-clés Agrovoc : Coffea arabica, Hybride, Parent, Valeur génétique, Index de sélection, Corrélation génétique, Aptitude à la combinaison, Héritabilité, Paramètre génétique, Caractère agronomique, rendement, Port de la plante, Méthode statistique

Mots-clés géographiques Agrovoc : Cameroun

Classification Agris : F30 - Plant genetics and breeding
U10 - Computer science, mathematics and statistics

Auteurs et affiliations

  • Cilas Christian, CIRAD-CP-DIR (FRA)
  • Bouharmont Pierre
  • Boccara Michel, CIRAD-CP-CACAO (CMR)
  • Eskes Albertus, CIRAD-CP-CACAO (FRA)
  • Baradat Philippe

Autres liens de la publication

  • Document en bibliothèque
  • Localisation du document : CD_BR7370 [(Bibliothèque de Lavalette)] ; CD_PE403 [(Bibliothèque de Lavalette)]

Source : Cirad - Agritrop (

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