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Title

Caracterização morfológica e físico-química de frutos em populações naturais de Hancornia speciosa.

Authors

Rocha dos SANTOS, Guilherme; Rodrigues COIMBRA, Ronaldo

Abstract

Biometric studies of fruits and seeds are important to characterize the variations that occur within and between populations, being also relevant to support conservation strategies, management of natural populations and genetic improvement of a species. This study aimed to morphologically characterize three natural populations of Hancornia speciosa located in remnant areas of Cerrado in the municipality of Porto Nacional, Tocantins state, Brazil and to evaluate phenotypic variability through physical and chemical attributes of fruits. The studied populations were: Canaã, São Judas Tadeu and Providência. Seven genotypes were selected in each population and twenty fruits of each genotype were collected for analysis. In the fruits were measured: transverse and longitudinal diameter, total mass, number of seeds and fresh seed mass, mass and pulp yield. From the total pulp of each genotype, pH and soluble solids (°Brix) were measured. For morphological characterization, descriptive statistics were performed and the comparison between the populations was performed using the Tukey test at 5% probability. The relationship between the variables was estimated by the Pearson correlation coefficient. For the study of phenotypic variability, principal component analysis (PCA) was performed. The population of São Judas Tadeu stood out for presenting more homogeneous fruits, bigger and with greater mass while the Providência for presenting fruits with higher content of soluble solids (ºBrix) than the other populations. It was possible to observe the trend of formation of groups of similarity involving the genotypes of each population, constituting a key element for future programs of formation of germplasm bank and genetic improvement of the species.

Subjects

PHENOTYPIC plasticity; PEARSON correlation (Statistics); FRUIT seeds; PRINCIPAL components analysis; GROUP formation; POPULATION viability analysis

Publication

Diversitas Journal, 2022, Vol 7, Issue 4, p2458

ISSN

2525-5215

Publication type

Academic Journal

DOI

10.48017/dj.v7i4.2035

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