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Ornamental pepper plants have genetic variability, which can be accessed through morphological and molecular traits. Genotype selection to form the base population for breeding can be performed through the joint analysis of several types of data, providing greater selection accuracy. From this perspective, this study aimed to evaluate the diversity among pepper accessions based on analysis of phenotypic traits and molecular markers and to select the best ones to use as parents in breeding programs. The study was carried out at the Centro de Ciências Agrárias of the Universidade Federal da Paraíba, Paraíba, Brazil. Sixteen ornamental pepper genotypes were used and characterized for eight quantitative traits, nine qualitative traits, and 18 pairs of microsatellite primers. Simultaneous variable analyses were performed using Tocher’s clustering method, Ward’s clustering algorithm, and the dissimilarity matrix. The clustering methods were efficient in separating the genotypes, identifying genetic variability, and accuracy in the selection through the joint analysis of quantitative, qualitative, and molecular data. Different groups were formed among the genotypes by Tocher’s method (six groups) and Ward’s method (three groups). There is genetic variability among ornamental pepper genotypes considering the joint analysis of quantitative, qualitative, and molecular data. Qualitative traits are important in the identification of genetic divergence among ornamental pepper accessions. The UFPB genotypes 46, 134, 137, 443 and 449, the mini pepper Akamu, and the cultivar Calypso are indicated for selection and can be used to carry out crosses and continue the breeding program.
Ornamental pepper plants have genetic variability, which can be accessed through morphological and molecular traits. Genotype selection to form the base population for breeding can be performed through the joint analysis of several types of data, providing greater selection accuracy. From this perspective, this study aimed to evaluate the diversity among pepper accessions based on analysis of phenotypic traits and molecular markers and to select the best ones to use as parents in breeding programs. The study was carried out at the Centro de Ciências Agrárias of the Universidade Federal da Paraíba, Paraíba, Brazil. Sixteen ornamental pepper genotypes were used and characterized for eight quantitative traits, nine qualitative traits, and 18 pairs of microsatellite primers. Simultaneous variable analyses were performed using Tocher’s clustering method, Ward’s clustering algorithm, and the dissimilarity matrix. The clustering methods were efficient in separating the genotypes, identifying genetic variability, and accuracy in the selection through the joint analysis of quantitative, qualitative, and molecular data. Different groups were formed among the genotypes by Tocher’s method (six groups) and Ward’s method (three groups). There is genetic variability among ornamental pepper genotypes considering the joint analysis of quantitative, qualitative, and molecular data. Qualitative traits are important in the identification of genetic divergence among ornamental pepper accessions. The UFPB genotypes 46, 134, 137, 443 and 449, the mini pepper Akamu, and the cultivar Calypso are indicated for selection and can be used to carry out crosses and continue the breeding program.
The Egyptian-farmed soybeans have a wide range of genetic diversity which is most important in plant improvement programs in order to develop new higher yielding soybean genotypes. The present study is designed to determine the genetic variability among seventeen genotypes of cultivated soybean (Glycine max L.) by examining the phenotypic level at the seedling stage, field performance over two years 2022/2023 and genetically using Start Codon Targeted (SCoT) markers. Results indicated that the SCoT markers, 100 seed weight, and tip angle (TA) traits were positively correlated with H2L12, DR 101, H15L5, and H117 genotypes. In addition, the number of branches per plant and plant height were associated with H113, H32, Crowford, H129, and D7512035. Furthermore, the length of the first internode (LFI), root width (RW), root length (RL), and shoot length (SL) were more associated with Giza 111, NC105, and Hutcheson. The hierarchical cluster analysis (HCA) and its associated heatmap explored the differences among the genotypes. It showed that all examined parameters were clustered into four distinct clusters. The obtained results showed that genotypes NC105, H30, D75_12035, and H2L12 have promising phenological and morphological traits besides tracking the inheritance of nearby genes surrounding the ATG translation start codon since they are in a monoclades. The obtained results will help the breeder plan appropriate selection strategies for improving seed yield in soybeans through hybridization from divergent clusters.
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