September 16, 2024
Hamid Hatami Maleki

Hamid Hatami Maleki

Academic rank: Associate professor
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Education: PhD.
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Faculty: Faculty of Agriculture

Research

Title
Classification of melon germplasm from Iran based on multivariate statistical analysis
Type Presentation
Keywords
genetic diversity, cluster analysis, principle component analysis
Year
2023
Researchers ، ، ، Hamid Hatami Maleki،

Abstract

Melon (Cucumis melo L.) belongs to the pumpkin family and is one of the ornamental plants. Obtaining information about genetic distances and kinship relationships of species in breeding programs provides the possibility of germplasm organization. Collecting the germplasm of agricultural and garden plants and their wild relatives from natural habitats and keeping them in specialized conditions based on international standards outside natural habitats is considered the most effective conservation strategy. Therefore, this research was carried out with the aim of evaluating the genetic diversity and grouping of 15 native Iranian melon genotypes using morphological characteristics in the Mianeh city. In the field evaluation, a wide genetic diversity was observed between melon genotypes for morphological traits. Cluster analysis by Ward's method based on the Euclidean squared distance for the measured traits placed the genotypes in 2 separate groups. Checking the correctness of the groupings resulting from the cluster analysis indicated that all the investigated genotypes were correctly grouped and the success rate of the detection function for all groups was 100%. The results of analysis into main components showed that the first and second two components explained more than 50% of the total variation of the data and the first and second two components explained 40.6% and 13.9% of the total changes, respectively. In this research, the grouping obtained from the PCA analysis was consistent with the grouping obtained from the cluster analysis. The heterotic groups identified in this research can be used in future melon breeding programs through hybrid production.