Phenotypic Expression of Diaspores Indicates Genetic Diversity in Natural Populations of Spondias tuberosa (Anacardiaceae)

The aim of this study was to assess phenotypic variation and its implications for genetic diversity in natural populations of <i>Spondias tuberosa</i>. Fruits were harvested from 38 mother plants from three natural populations, and the physical traits of the fruits, endocarps, and physiological quality of the seeds were evaluated in a completely randomized design with four replicates of 25 fruits per genotype. The data were subjected to analysis of variance, and the means were grouped via the Scott-Knott method. Genetic diversity was evaluated via UPGMA and Tocher clustering methods, which are based on the Mahalanobis distance (D<sup>2</sup>) and canonical variables, whereas the relative importance of the characters was evaluated via the Singh method. The results indicated high phenotypic variability, with fruit length was the main discriminant trait among genotypes. The groupings formed six (UPGMA) and 12 groups (Tocher), indicating greater divergence within populations. The analysis of phenotypic data provides a solid basis for understanding the ecological dynamics of and supporting sustainable management practices for <i>S. tuberosa</i>, in line with bioeconomic objectives. This study highlights the importance of preserving phenotypic variability in populations, which is essential for the adaptation of species to environmental changes and for improving local bioeconomies.

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Journal
Biology
Published
2025-11-21
DOI
https://doi.org/10.3390/biology14121641
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.00

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article

Phenotypic Expression of Diaspores Indicates Genetic Diversity in Natural Populations of Spondias tuberosa (Anacardiaceae)

Naysa Flávia Ferreira do Nascimento, João Henrique Constantino Sales Silva, Kaline Lígia do Nascimento, Maria Karoline Ferreira Bernardo et al.
Biology
Genetic diversity and population structure
article

Phenotypic Expression of Diaspores Indicates Genetic Diversity in Natural Populations of Spondias tuberosa (Anacardiaceae)

Naysa Flávia Ferreira do Nascimento, João Henrique Constantino Sales Silva, Kaline Lígia do Nascimento, Maria Karoline Ferreira Bernardo, R. S. Ramos, Joyce Naiara da Silva, Edna Ursulino Alves, Caroline Marques Rodrigues, Luís Gustavo Alves de Almeida, Eduardo Luã Fernandes da Silva
article en

Abstract

The aim of this study was to assess phenotypic variation and its implications for genetic diversity in natural populations of <i>Spondias tuberosa</i>. Fruits were harvested from 38 mother plants from three natural populations, and the physical traits of the fruits, endocarps, and physiological quality of the seeds were evaluated in a completely randomized design with four replicates of 25 fruits per genotype. The data were subjected to analysis of variance, and the means were grouped via the Scott-Knott method. Genetic diversity was evaluated via UPGMA and Tocher clustering methods, which are based on the Mahalanobis distance (D<sup>2</sup>) and canonical variables, whereas the relative importance of the characters was evaluated via the Singh method. The results indicated high phenotypic variability, with fruit length was the main discriminant trait among genotypes. The groupings formed six (UPGMA) and 12 groups (Tocher), indicating greater divergence within populations. The analysis of phenotypic data provides a solid basis for understanding the ecological dynamics of and supporting sustainable management practices for <i>S. tuberosa</i>, in line with bioeconomic objectives. This study highlights the importance of preserving phenotypic variability in populations, which is essential for the adaptation of species to environmental changes and for improving local bioeconomies.

BiologyVol. 14(12)
Universidade Federal da Paraíba (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 62%
Genetic diversity and population structure
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