GENETIC DIVERSITY AMONG BITTER MELON GENOTYPES ASSESSED THROUGH MORPHO-AGRONOMIC VARIABLES

Bitter melon (Momordica charantia L.) is a plant species recommended by the Brazilian Health Regulatory Agency (Anvisa) as hypoglycemiant. The characterization of plants is an essential step in any breeding program. The objective of the present work was to organize and characterize a bitter melon ge...

Descripción completa

Detalles Bibliográficos
Autores: Silveira, Thaísa de Oliveira, Marques, Mayara de Mello, Amorim, Gustavo Torres dos Santos, Carvalho, Mario Geraldo de, Damasceno Junior, Pedro Corrêa
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:Brasil
Institución:Universidade Federal Rural do Semi-Árido (UFERSA)
Repositorio:Revista Caatinga
Idioma:inglés
OAI Identifier:oai:ojs.periodicos.ufersa.edu.br:article/11153
Acceso en línea:https://periodicos.ufersa.edu.br/caatinga/article/view/11153
Access Level:acceso abierto
Palabra clave:Momordica charantia L.. Análise de componentes principais. Análise de agrupamento K-means. Índices de diversidade. Padrões de agrupamento.
Momordica charantia L.. Principal Component Analysis. K-means clustering analysis. Diversity indexes. Grouping patterns.
Descripción
Sumario:Bitter melon (Momordica charantia L.) is a plant species recommended by the Brazilian Health Regulatory Agency (Anvisa) as hypoglycemiant. The characterization of plants is an essential step in any breeding program. The objective of the present work was to organize and characterize a bitter melon germplasm collection, based on morpho-agronomic characters, to assess its genetic diversity and identify genotypes of agronomic interest. Eighty-eight genotypes were characterized for 38 descriptors. Redundant descriptors were identified through Principal Component Analysis (PCA); after their exclusions, a new PCA was carried out to verify the dispersion among the genotypes. Groups in the PCA were defined using the k-means clustering method. The groups were studied for phenotype pattern using radar chart. Populational diversity was estimated through Shannon and Pielou indexes. Intra group diversity was estimated through analysis of similarity (anosim). The relative importance of variables for diversity was also estimated. Seventeen variables were redundant. The genotypes were grouped into 5 groups. Groups G1 and G5 were antagonist regarding fruit and seed productions and fruit, leaf, and seed sizes. A trend of decrease in fruit, leaf, and seed sizes was found in groups from G1 to G5. The diversity was high. Intra group diversity was high among small fruit genotypes, and low for medium-sized fruit genotypes. The variable number of male flowers (NMFL) was identified as that presented the greatest contribution to estimation of diversity. The genotypes UFRRJ MSC072, 042, 028, and 087 stood out with the highest number of fruits produced.