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Growth increments and stability over time in fast-growing forest tree species

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Abstract:

We review an analytical procedure useful for measuring the influence of time on the phenotypic expression of cumulative growth. It consists of separating the genetic control into two meaningful components: the cumulative genetic effect of growth increments and the effect of genotype × time interaction. The analysis is performed via a hierarchical mixed linear model. Data from three Pinus tecunumanii Eguiluz & J.P. Perry provenance–progeny trials established by the CAMCORE Cooperative in South America were used to assess the practical application of the method. Results suggest that the simple observation of age–age correlations for cumulative growth can be misleading, because they hide the effects of family and within-family variation. The partition of cumulative growth into mutually exclusive growth increments can help to discriminate covariance components, which are also useful to predict the degree of association between growth at different ages and the potential value for early selection.

Nous réexaminons une méthode analytique qui sert à mesurer l'influence du temps sur l'expression phénotypique de la croissance cumulative. Cette méthode consiste à subdiviser le contrôle génétique en deux composantes signifiantes : l'effet génétique cumulatif des augmentations de croissance et l'effet de l'interaction entre le génotype et le temps. L'analyse est accomplie via un modèle hiérarchique mixte de forme linéaire. Les données de trois essais de provenances–descendances de Pinus tecunumanü Eguiluz & J.P. Perry, établis par la coopérative CAMCORE en Amérique du Sud, ont été utilisées pour évaluer l'applicabilité de la méthode. Les résultats indiquent que la simple observation des corrélations âge–âge pour la croissance cumulative peut être trompeuse parce qu'elles cachent la variation dans et entre les familles. La division de la croissance cumulative en accroissements mutuellement exclusifs peut aider à distinguer les composantes de covariance, lesquelles sont également utiles pour prédire le degré d'association entre la croissance à différents âges et l'intérêt potentiel pour la sélection hâtive.[Traduit par la Rédaction]

Document Type: Research Article

Publication date: June 1, 2002

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  • Published since 1971, this monthly journal features articles, reviews, notes and commentaries on all aspects of forest science, including biometrics and mensuration, conservation, disturbance, ecology, economics, entomology, fire, genetics, management, operations, pathology, physiology, policy, remote sensing, social science, soil, silviculture, wildlife and wood science, contributed by internationally respected scientists. It also publishes special issues dedicated to a topic of current interest.
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