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Abstract
The genetic relationships among 48 melon ( Cucumis melo L.) genotypes collected from various parts of Azerbaijan were determined by comparing their phenotypic and molecular traits. Eleven agromorphological traits and 10 polymorphic inter-simple sequence repeat (ISSR) primers were used to define the genetic diversity. Principal component analysis grouped the agromorphological traits into the first four axes, describing 78% of the total variations. The highest genetic variation coefficient was found for yield per hectare (20.32%) and for fruit length (17.35%). Calculated heritability for yield was 0.96. The analysis of morphological traits grouped the accessions into four clusters. The 10 ISSR primers yielded 35 polymorphic alleles, representing 85.4% of all the amplified loci. The average genetic diversity index determined was 0.70. The highest and the lowest similarity indexes were equal to 0.97 and 0.36, respectively. The 48 accessions were grouped into 10 clusters based on ISSR markers. Correlation between distance matrices based on agromorphological traits and ISSR markers was not statistically significant (r = 0.012).
Highlights
The cultivated melon (Cucumis melo L., 2n = 2x = 24) is an important crop widely distributed in the warmest areas of the world and grown extensively in countries with temperate climate (Pech et al, 2007)
A significant difference with respect to all traits among the studied melon genotypes was detected based on variance analysis
principal component analysis (PCA) grouped the 11 agromorphological traits into the first four axes, describing 78% of the total variation
Summary
48 C. melo L. genotypes from different geographical areas of Azerbaijan were collected and screened for genetic diversity based on both some agromorphological traits and ISSR markers. Morphological diversity analysis The seed materials of all samples collected from different regions were used in the experiment (Table 1). The genetic relationships among accessions were evaluated by Jaccard’s similarity coefficient for pairwise comparisons based on the genotyping data using the PAST statistic program package (Hammer et al, 2001).
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