Abstract
Abstract: The present study aimed to evaluate the selection indices efficiency for Pilodyn penetration combined with growth traits in Eucalyptus clones. It was carried out experiments in a randomized block design, with single tree plots and 30 replications. Diameter at breast height (DBH), total height (TH), and Pilodyn penetration as an indicator of basic density (BD) were measured. The volume was estimated. Based on predicted genotypic values, three indices presented the highest accuracies: I 8 (based on partial correlation), I 7 (based on the concept of multivariate BLUP) and I 3 (based on two variables as ratio, which uses a third heritability estimate associated to the ratio DBH/BD, besides the two heritabilities of DBH and BD). Thus, it is possible to optimize the selection by combining properly the variables using their genetic control, precision and the relationships between them. The best options came from using only two no redundant traits DBH and BD. Key words : Selection criteria, accuracy, wood quality, partial correlation, path analysis.
Highlights
Part of the increase in forest production is attributed to breeding programs (Costa et al 2015)
The present study investigated the effectiveness of new classes of selection criteria based on partial correlations, direct effect of path analysis, ordinary correlations and heritability for Eucalyptus, using genotypic values predicted through the mixed models methodology
It was measured the diameter at breast height (DBH), in centimeters, and the total height (TH) of trees, in meters (m)
Summary
Part of the increase in forest production is attributed to breeding programs (Costa et al 2015). Selection index is more efficient than direct selection, since it enables the distribution of gains between the several traits, in a more homogeneous way and in accordance with the purposes of the breeding program, generating higher total gain (Reis et al 2011, Freitas et al 2012, Cruz et al 2014) These actions may greatly contribute to maximize the cost/benefit of the breeding program. Several selection indices have been used for multivariate evaluation of characters of interest in different cultures, Eucalyptus (Martins et al 2006, Reis et al 2011, 2015) Despite their importance, these indices are based on phenotypic values and do not consider the genotypic correlation and the cause and effect relationships between variables. The present study investigated the effectiveness of new classes of selection criteria based on partial correlations, direct effect of path analysis, ordinary correlations and heritability for Eucalyptus, using genotypic values predicted through the mixed models methodology
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