Genetic dissimilarity, selection index and correlation estimation in a melon germplasm

Abstract

The success of breeding programs depends on genetic variability. Individuals selected based on a few traits may be a limitation. One alternative is the use of nonparametric indices. However, there is no information on the use of selection indices in melon germplasms. The present study aimed to estimate genetic dissimilarity in a melon germplasm and select potential parent plants for future breeding programs. The genetic material consisted of 37 melon accessions. The traits assessed were fruit diameter and length, diameter and length of the fruit cavity and total soluble solids. Genetic dissimilarity was assessed by multivariate analyses (UPGMA and Tocher). Selection gain estimates were analyzed by comparing the classic Smith-Hazel and sum of ranks indices. Genetic diversity was observed between accessions. The variable that contributed most to genetic dissimilarity was fruit cavity length. Simultaneous selection for the traits assessed based on the sum of ranks index is better suited to melon germplasm assessment. The best accessions for the five variables simultaneously were UFU07, UFU23, UFU09, UFU21, UFU28 and UFU30.

Phenotypic Characterization of Citron Watermelon (Citrullus lanatus var. citroides) Genotypes for Bioenergy Production

“…Although, SC1-Sesoswane had a significantly (P < 0.01) higher fruit number, it exhibited lower fruit diameter and rind thickness, which is typical of a seed melon type. Fruit diameter varied from 14.6 cm to 30.3 cm with an average of 25.9 cm, and this is relatively bigger than those of the 37 melons accession evaluated in Brazil which had a diameter range of 8.0 cm to 17.7 cm and average of 12.95 (Gomes et al, 2021). However, rind thickness of 2.0 cm observed in their study was in accordance with those recorded in this research with an average of 2.4 cm.…”

Atributos genéticos dos frutos de pimenteira ornamental para seleção

“…Os resultados obtidos podem direcionar a seleção dos melhores indivíduos, de forma acurada, otimizando a eficácia dos programas de melhoramento Tabela 1. Estimativas de parâmetros genéticos, para as variáveis: massa média do fruto (MMF), comprimento do fruto (CP), diâmetro do fruto (DF), comprimento do pedúnculo (CP) e espessura do pericarpo (EP) em população em população F2 de pimenteira ornamental (C. annuum l. (Vargas et al, 2020), Cucumis melo (Gomes et al, 2021), Glycine max L. (Carneiro et al, 2021) e C. frutescens (Costa et al, 2021), o que confirma sua utilidade para a seleção de genótipos com características agronômicas favoráveis. Desta forma a transmissibilidade dessas características ao longo das gerações, sugere que as variáveis avaliadas neste estudo são relevantes para a seleção dos melhores genótipos, de acordo com os objetivos dos programas de melhoramento genético.…”