Path analysis and canonical correlations for indirect selection of Jatropha genotypes with higher oil yield

Abstract

ABSTRACT. Jatropha is a species with great potential for biodiesel production, and the knowledge on how the main agronomic traits are correlated will contribute to its improvement. Therefore, the objectives of this study were to estimate the genetic parameters of the traits: plant height at 12 and 40 months, canopy projection on the row at 12 and 40 months, canopy projection between the row at 12 and 40 months, number of branches at 40 months, grain yield, and oil yield; to verify the existence of phenotypic correlation between these traits; to verify the influence of the morphological traits on oil yield by means of path analysis; and to evaluate the relationship between the productive traits in Jatropha and the morphological traits measured at different ages. Sixty-seven half-sib families were evaluated using a completely randomized block design with two replications and five plants per plot. Analysis of variance was used to estimate the genetic value. Phenotypic correlations were given by the Pearson correlation between traits. For the canonical correlation analysis, two groups of traits were established: group I, consisting of traits of economic importance for the culture, and group II, consisting of morphological traits. Path analysis was carried out considering oil yield as the main dependent variable. Genetic variability was observed among Jatropha families. Productive traits can be indirectly selected via morphological traits due to the correlation between these two groups of traits. Therefore, canonical correlations and path analysis are two strategies that may be useful in Jatrophabreeding program when the objective is to select productive traits via morphological traits.

Association between traits related to fruit quality in papaya (Carica papaya L.) hybrids and their implications for selection

“…According to Silva et al. (2017), indirect selection can be used when two variables have a significant correlation and DE in the same direction on the dependent variable. The correlation is reliable since the independent variable is strongly associated with the dependent variable.…”

“…It appears that the PT is the main variable responsible for directly increasing the percentage pulp volume, providing evidence for indirect selection of the PV% based on this variable. According to Silva et al (2017), indirect selection can be used when two variables have a significant correlation and DE in the same direction on the dependent variable. The correlation is reliable since the independent variable is strongly associated with the dependent variable.…”

Genetic Diversity in <i>Jatropha platyphylla</i> Accessions Based on Morphological Traits and Inter-Simple Sequence Repeats Molecular Markers

“…The populations evaluated in this study had sufficient variability for genotype selection of superior agronomic performance [26]. This fact is important for the establishment of a genetic improvement program.…”

Multi-trait genomic selection indexes applied to identification of superior genotypes

“…Genomic selection has been currently described by several authors and has provided promising results in several areas of genetics and plant breeding (Peixoto et al 2017;Persa et al 2020;Silva et al 2017). Many statistical methods can be applied to genomic selection (Crossa et al 2017), and the choice and efficiency of application of these methods depend mainly on the genetic architecture of the quantitative trait under study (Daetwyler et al 2013;de los Campos et al 2013).…”