Data/hora: 10/06/2024 10:07:51

Provedor de dados: | 65
País: | Brazil
Título: | Genetic variability of selected Passiflora alata genotypes based on the physical characteristics of fruits
Autores: | D'Abadia,Ana Claudia Alves; Faleiro,Fábio Gelape; Costa,Ana Maria; Junqueira,Nilton Tadeu Vilela; Braga,Marcelo Fideles.
Data: | 2020-01-01
Ano: | 2020
Palavras-chave: | Passiflora; Sweet passion fruit; Clustering; Main components.
Resumo: | ABSTRACT: Over several past centuries, specific plant populations have been carefully selected to filter strains with higher agronomic performance. Genetic variability is most essential for successful selection. The Passiflora genus offers great inter- and intra-specific variability. This study aimed to evaluate the physical characteristics of the genotypes of the elite passion fruit (Passiflora alata) for selection purpose. We considered the physical traits of fruit mass, longitudinal and equatorial diameters, peel thickness and color, and pulp mass and volume without and with seeds and pulp yield. The sources of variation for the analysis of variance included the fruits of 8 elite genotypes, with 3 replications, whose means were compared by Tukey’s test at 1% probability. We also performed multivariate analysis and correlation between these characteristics. Statistical differences were noted between elite genotypes for most of the tested traits. The elite 7 genotype presented with the highest seedless pulp yield in relation to the fruit and the largest fruit mass. Cluster analysis and graphic dispersion revealed a tendency for clustering of the elite genotypes based on their fruit shape. The tested population showed genetic variability, which allowed new selection cycles toward gaining pulp yield and fruit mass.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000200402
Editor: | Universidade Federal de Santa Maria
Relação: | 10.1590/0103-8478cr20181056
Formato: | text/html
Fonte: | Ciência Rural  v.50 n.2 2020
Fonte: | info:eu-repo/semantics/openAccess