Abstract

The objective of this study was to evaluate the stability and adaptability, using the method of harmonic means of the relative performance of genetic values and to estimate the genetic components of variance and average via mixed models of 14 genotypes of passion fruit in three environments. Data were obtained in a random block design with three replicates and nine plants per plot. For the hybrids in the final validation phase, the estimates of heritability and genetic gains in the evaluated environments showed good prospects for selection of superior genotypes. There was a pronounced effect of genotype-environment interaction (GxE) for all traits investigated except fruit length, percentage of pulp, soluble solids, titratable acidity and SS/TA ratio. The most stable and adaptable hybrids in the evaluated environments were BRS Gigante Amarelo, HFOP-09, H09-09, GP09-02, GP09-03 and BRS Sol do Cerrado.

Highlights

  • Brazil is highlighted as a large producer of yellow passion fruit (Passiflora edulis Sims), and the demand for it has grown both in the markets for processed juice and natural fruits (Gonçalves et al 2007)

  • Considering the Northeast Region, Bahia State is responsible for approximately 65.96% and 42.81% of the national production (IBGE 2015)

  • Regarding the physical and chemical characteristics of fruits, five fruits were considered per plot, and the following traits measured: fruit length (FL) in cm; fruit diameter (FD) in cm; peel thickness (PT) in mm; fruit mass (FM) in g; peel mass (PM) in g; pulp mass (PUM) in g; soluble solids (SS) in oBrix, as measured with a digital refractometer; total titratable acidity (TA), expressed in mg citric acid per 100 mL juice, as determined through titration with NaOH at 0.1mol L-1; percentage of pulp (PP), measured through the PUM/FM ratio in %; and the SS/TA ratio

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Summary

Introduction

Brazil is highlighted as a large producer of yellow passion fruit (Passiflora edulis Sims), and the demand for it has grown both in the markets for processed juice and natural fruits (Gonçalves et al 2007). Considering the Northeast Region, Bahia State is responsible for approximately 65.96% and 42.81% of the national production (IBGE 2015). Despite such numbers, productivity in Bahia is considered low (12.21 t ha-1) compared to the culture’s potential, which is estimated to be 40 to 50 t ha-1 (Freitas et al 2011). To succeed in the selection and identification of promising genotypes, it is essential to evaluate the agronomic performance of genotypes in multiple locations. In such evaluations, the genotypes are subject to the genotype–environment interaction (GxE), which reflects differentiated behavior of the individuals in the evaluated locales. When developing varieties, Received: 22 July 2016 Accepted: 15 September 2016

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