Interrelations between productive, vegetative, and fruit quality traits in Tahiti acid lime through Bayesian inference

Renan Garcia Malikouski,Marco Antônio Peixoto,Dimmy Herllen Silveira Gomes Barbosa,Leonardo Lopes Bhering,Emanuel Ferrari Do Nascimento,Andréia Lopes De Morais,Moises Zucoloto

doi:10.1590/0103-8478cr20210007

Abstract

ABSTRACT: Although the fruit yield has a core importance in Tahiti acid lime breeding programs, other traits stand out among the quality fruit and vegetative traits as ones that still need to be improved in selection of superior genotypes. Appling efficient tools aiming selection, such as the Bayesian inference, becomes an alternative in perennial crops. This study applied Bayesian inference in the genetic evaluation of Tahiti acid lime genotypes and estimated the interrelation between vegetative, productive and fruit quality traits. Twenty-four acid lime genotypes were evaluated for number of fruits, fruit yield, canopy volume, stem diameter, soluble solids content, shell thickness, and juice yield traits. The genotypic values were estimated through Bayesian inference and models with different residual structure were tested via deviance information criterion. Pearson’s correlation and the path analysis were estimated, removing the multicollinearity effect. The Bayesian inference estimates genotypic values with high selective accuracy. The correlations obtained between traits from different groups can be useful in selection strategies for improvement of Tahiti acid lime. The Bayesian inference demonstrated to be an important tool and should be considered in perennial breeding programs.

Highlights

Belonging to the Rutaceae family, the genus Citrus is one of the most important fruit crops in the world agricultural scenario (LADANIYA et al, 2020)
The third group was of fruit quality with three traits: shell thickness (ST, in mm) where the fruits were cut in half and the peel measured with the aid of a digital caliper; juice yield (JY, in %) calculated from the fruit weight/fruit bagasse weight ratio, and soluble solids content
Spatial variation is recognized as the main disturbing factor for perennial crops and it may differ as a result of seasonal changes and crop growth stage (FAVERI et al, 2015; RESENDE, 2002)

Summary

Introduction

Belonging to the Rutaceae family, the genus Citrus is one of the most important fruit crops in the world agricultural scenario (LADANIYA et al, 2020) Characterized by their high nutritional value, Citrus fruits are consumed fresh or used in the preparation of food and drinks, while their essential oils are used in the manufacture of perfumes, cosmetics, and even medicines (DENARO et al, 2020; DOSOKY & SETZER, 2018). The correlation coefficients alone do not provide the direct and indirect effects under fruit yield, being path analysis an excellent strategy for such end It establishes cause and effect information between correlations and has been applied to different fruit crops of economic importance such as cocoa (DEVY et al, 2018), guajava (SANTOS et al, 2017), peach (MATIAS et al, 2016), and grape (DOLKAR et al, 2017)

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Conclusion