摘要 : Despite the fact that mangoes of India exhibit a considerable diversity, barring only a few genotypes, majority of them are not adequate for commercialisation. Thus, outstanding new varieties are required to meet the market demand... 展开 Despite the fact that mangoes of India exhibit a considerable diversity, barring only a few genotypes, majority of them are not adequate for commercialisation. Thus, outstanding new varieties are required to meet the market demand, which necessitates assessment of genetic variability, authentic identification and population structuring. We examined 30 different fruit traits and utilized 63 RAPD primers in an attempt to perform population structuring and genetic diversity analysis of 58 selected Indian mango genotypes, including commercial cultivars as selections, hybrids and landraces. The higher average values for % polymorphism (85.82%), PIC(> 0.6), EMR(> 12), MI (8.65), RP (13), I (0.40) and a wide range of similarity 0.38 to 0.87 (averaging 0.59) indicated a high degree of genetic diversity and affirmed effectiveness of RAPD as a reliable informative marker. Forty-eight genotype-specific unique fingerprints were detected which enabled identification of 27 different genotypes out of all genotypes audited. Compared to markers associated with fruit features, RAPD markers proved relatively more resolute, being able to portray higher similarity and discrimination among closely related genotypes. A low correlation was noticed between clustering pattern and matrices of fruit-specific and molecular markers. Ten local genotypes were identified based on morphological features related to low similarity coefficient, outliers and pairing with superior genotypes that have been already used as breeding partners. Besides, based on RAPD data on diversity index, presence of unique fingerprints and outlier clustering pattern, 13 most diverse genotypes were identified including three local genotypes, namely 'Kancha Mitha', 'Hunkagaja', and 'Hamilton Sundari', which could be employed as suitable candidates in breeding programs. Efficient grouping of mango genotypes in UPGMA and Bayesian model-based population structuring and admixture analysis, mostly based on genotypic status (selection, hybrid or landrace), substantiated RAPD's efficacy, not only for estimating genetic divergence/associations but also structuring mango populations. Information generated through this investigation will facilitate characterization, conservation and breeding for genetic improvement of this valuable fruit crop. 收起