Research Article Novel selection strategy for half-sib families of sour passion fruit <i>Passiflora</i> <i>edulis</i> (Passifloraceae) under recurrent selection

Abstract

Several strategies have been employed in the breeding of passion fruit with a view to the generation of superior progeny. In an effort to develop more precise methods in breeding, we compared the efficiency of the Post-Hoc Blocking Row-Col technique, which is an a posteriori technique that consists of the overlapping of a block structure on the original-field design, with a randomized-block design and compared different selection strategies within and among half-sib families, using the REML/BLUP mixed-model methodology. Twenty-three half-sib families from the third cycle of recurrent selection of the breeding program of Universidade Estadual do Norte Fluminense Darcy Ribeiro -UENF were evaluated. The trial took place in the experimental unit of UENF, in Itaocara -RJ, Brazil. Plants were trained on vertical stakes, with four replicates and three plants per plot. They were assessed individually for the traits number of fruits per plant, fruit mass per plant, fruit length, fruit diameter, peel thickness, total soluble solids, pH, pulp percentage, and production per plant. No significant difference was found in the test of efficiency of the designs for any of the evaluated traits. Withinfamily heritability (h 2 ad ) had a similar magnitude to individual heritability (h 2 a ), indicating that even in the 4th cycle of recurrent ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 18 (2): gmr18305 N.R. Cavalcante et al. 2selection, genetic variability still exists within the evaluated progeny. Selection within half-sib families provided superior gains when compared with selection among families for the traits number of fruits; production; fruit mass, length, and diameter; total soluble solids; pH; and pulp percentage. The best selection strategy was within families, as it generated higher selection-gain estimates than those obtained with selection between families and the directselection and index-selection approach.

Row–Col and Bayesian approach seeking to improve the predictive capacity and selection of passion fruit

“…These estimates presented values within the expected range for these traits, considering they are controlled by a large number of genes and are highly influenced by the environment (Resende et al, 2014). Cavalcante et al (2019) found similar estimates for the same crop. Viana et al (2004) evaluated the same variables in passion fruit and found higher heritability estimates for all variables except TSS, indicating a favorable situation for selection.…”

“…Passiflora edulis is the most marketable passion fruit species in Brazil, accounting for more than 95 % of the fruit farms in the country and also the most planted species worldwide (Meletti et al, 2011). Passion fruit production in the state of Rio de Janeiro is below the national average, mainly due to the lack of improved varieties adapted to edaphoclimatic conditions; however, breeding programs are working to improve this condition (Cavalcante et al, 2019). In passion fruit, breeding methods face challenges similar to other perennial species.…”

Research Article Evaluation of resistance to <i>Cowpea</i><i> aphid-borne</i> <i>mosaic</i> <i>virus</i> in passion fruit backcrosses for recurrent selection and development of resistant cultivars

“…However, production has been decreasing since 2013, with a 28.95% decrease in 2019. This decline is caused by several factors, including phytosanitary problems and the lack of genotypes adapted to the growing regions (Silva et al, 2009;Cavalcante et al, 2019).…”

Produção de mudas de maracujazeiro amarelo sob salinidade da água de irrigação

“…O maracujá (Passiflora edulis Sims) é uma das culturas de maior relevância comercial, constituindo 95% dos pomares no país, gerando emprego e renda em diversos municípios (IBGE, 2019;Cavalcante et al, 2019). Nesse contexto, o Brasil se destaca como o maior produtor e consumidor mundial de maracujá, produzindo 593.429 toneladas, em 41.584 ha, dos quais 64,5% da produção corresponde a região Nordeste (IBGE, 2019).…”