Abstract

The objective of this study was to estimate simple and partial coefficients of correlation, as well as to divide their effects into direct and indirect using path analysis for custard apple tree traits. Twenty half-sibling progenies were evaluated in a randomized block design with five replicates, and plots consisting of four plants. Six traits were evaluated in the first cropping season (mean number of seeds per fruit and mean weight of the pericarp, pulp, pedicel, seeds per fruit, and the whole fruit), while five traits were evaluated in the first three cropping seasons (mean fruit length and width, total number of fruits ha-1, mean fruit weight (in both types of analyses), and fruit yield in kg ha-1). The results of this work led to the conclusion that doing selection based on simple correlation estimates may not be convenient, since not always a cause and effect relationship can be verified between two traits. Positive correlations were obtained between number of seeds and seed weight, and between number of fruits and yield. The greatest direct effects were those obtained for pulp weight on fruit weight and for mean number and weight of fruits on fruit yield. The most important indirect effects were obtained for number of seeds and pericarp weight, obtained via pulp weight, on fruit weight, and for fruit length and width, obtained via mean fruit weight, on fruit yield.

Highlights

  • The custard apple is a typically tropical fruit tree, belonging to the genus Annona, of great economic significance in Brazil

  • Among the traits analyzed during the first year, significant simple correlations were found between all pairs of traits, except between pericarp weight/pedicel weight and pericarp weight/seed weight (Table 1)

  • The results of this work led to the conclusion that practicing selection based on simple correlation estimates may not be convenient, since not always a cause and effect relationship can be verified between both traits

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Summary

Introduction

The custard apple is a typically tropical fruit tree, belonging to the genus Annona, of great economic significance in Brazil. Breeding programs aim at improving cultivars with respect to a number of traits. For this reason, the prior knowledge on the nature and magnitude of the correlations between traits of interest is extremely important. If two traits are correlated, it is possible to obtain gains in one of them by the indirect selection of the other. This is advantageous especially when a trait of high economic value has low heritability or is difficult to evaluate, when compared with another trait associated with the first. Selection can be accomplished based on the trait that has higher heritability or is easier to evaluate, but maintaining the breeding goal focused on the wanted trait (Ferreira et al, 2003)

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