Genetic analysis of 90 mango genotypes including juicy, table, dual and pickle types from different parts of Andhra Pradesh of India was carried out employing 143 mango-specific microsatellite markers. Of the 143, 34 were new mango-specific microsatellite loci isolated in the course of the present investigation by constructing an (CA) n and (TG) n -enriched genomic library. Characterization of the 90 genotypes resulted in the detection of 301 alleles from 106 polymorphic loci with an average of 2.87 alleles per locus and polymorphism information content of 0.67. UPGMA cluster analysis grouped all the genotypes into two major groups with a genetic similarity range of 47–88 %. Grouping of the genotypes based on the utility type was observed only at sub-cluster level. Study of population structure by a model-based STRUCTURE analysis revealed the germplasm to exist in four gene pools. Overall F st of 0.11 indicated genetic differentiation between the populations to be low. Analysis of molecular variance revealed that major proportion of the variation was within the individuals (62.25 %). The molecular marker-based study of genetic diversity suggests that the germplasm studied representing the kind of variability would be a valuable genetic resource for future breeding and association mapping in search for new and novel alleles.

Population structure and genetic analysis of different utility types of mango (Mangifera indica L.) germplasm of Andhra Pradesh state of India using microsatellite markers

Mango is an important dry zone fruit crop in Sri Lanka. Mangoes grown in northern Sri Lanka show rich varietal diversity and have greater consumer demand compared with those from other regions of the country. In this study, eighteen mango varieties including 54 accessions from Jaffna were examined to evaluate morphological variations and determine fruit quality. A total of 46 morphological traits from IPBGR descriptors for mango were measured in 54 mango accessions between years 2009 and 2012. Qualitative and quantitative morphological traits including leaf, inflorescence and fruit characteristics were evaluated in the field as well as in the laboratory. High variation among the mango varieties was observed with respect to qualitative data such as colour of immature leaves, leaf shape, inflorescence axis flower colour, type of flower, fruit shape skin colour and texture. Collected quantitative data was subjected to principal component analysis (PCA) and hierarchical cluster analysis (HCA). PCA showed that first 4 principal component had 75.6% of the total variation. PC1 explained 34.2% variations and these components were fruit length, breadth, thickness and weight. Besides these parameters, seed and leaf length also showed high variation. PC2 showed 21.8% variations with the parameters of leaf length, leaf breadth and inflorescence length. Thus based on these variations and similarities in morphological traits, mango varieties were grouped into three by HCA. These PCA and HCA results suggest that broad morphologic diversity was found in mango varieties examined in this study. Over all fruit quality was measured by a trained taste panel. Fruit quality was rated excellent in 8 varieties with pink or red mixed attractive fruit skin or waxy yellow colour skin. Among the 18 mango varieties thus identified from the 54 accessions, 4 varieties were found to be exotic and 14 varieties were endemic to Sri Lanka.

/pdf/morphometric-analysis-of-mango-varieties-in-sri-lanka-1lvdr9t2ig.pdf

Morphometric analysis of mango varieties in Sri Lanka

Fruit and leaf diversity of selected Indian mangoes (Mangifera indica L.)

Collection, characterization and utilization of genetic resources are crucial for developing varieties to meet current and future needs. Although mango is an economically important fruit tree, its genetic resources are still undocumented and are threatened in their natural habits. In this study, the variability of 452 mango accessions from three regions in China (Nujiang, Lancang river and Honghe) was assessed using 41 descriptors including qualitative and quantitative traits, with the aim to identify mango accessions with excellent agronomic and quality traits. To this end, descriptive and multivariate analyses were performed. Based on Shannon–Weaver diversity index, qualitative traits including pericarp color, fruit aroma, flesh color, and fruit flavor recorded the highest variability in the germplasm. Fruit related traits including pulp weight, peel weight, and fruit weight were the most diverse traits in the germplasm with a high coefficient of variation (CV > 40%). Significant differences (MANOVA test, p < 0.000) were observed among the three regions for most of the quantitative traits. Biologically significant and positive correlations were found among agronomically important traits such as fruit weight and pulp weight, fruit weight and edible rate. The hierarchical cluster analysis revealed tree clusters, indicating a low diversity in the germplasm. The majority of the descriptors contributed to the differentiation of the accessions. Accessions with good fruits quality (high fruit weight, pulp weight, and edible rate) were found in Cluster 2. Accessions in this cluster could be used for fruit quality improvement in mango breeding programs. Our study sheds light on the diversity of a large collection of natural mango population in China and provides relevant information for efficient conservation and harnessing of mango genetic resources.

Diversity of a Large Collection of Natural Populations of Mango (Mangifera indica Linn.) Revealed by Agro-Morphological and Quality Traits

Biochemical basis of the use of cocoyam (Colocassia esculenta L.) in the dietary management of diabetes and its complications in streptozotocin induced diabetes in rats

Mangoes (Mangifera indica L.) are economically important for Mozambique because of adequate climatic conditions and international market opportunities. This study characterised 30 mango varieties from the Umbeluzi research station, including some commercial varieties. The total variation was lower using quantitative (89.4% similarity) than qualitative (60% similarity) analyses. The combined quantitative and qualitative dendrogram had a total variation of 63% similarity and clustered varieties in three subgroups based on high fruit weight, high Brix content and low fruit weight. AFLP characterisation using seven primers combinations, generated 207 data points and detected 74.9% polymorphisms with an average of 30 fragments per primer combination. The total variation was low (72.49% similarity) and the dendrogram showed five subgroups based on low fruit weight, dwarfness and low Brix content, commercial varieties, high fruit weight and roundish fruit shape. The combined morphological and AFLP dendrogram was more accurate in clustering varieties based on geographic origin within the country and from outside.

Morphological and genetic characterisation of mango varieties in Mozambique.

Résumé Research Application Summary Ethno-botanical and morphological characterisation of cocoyams (Colocasia esculenta L. Schott and Xanthosoma sagittifolum L. Schott)

/pdf/ethno-botanical-and-morphological-characterisation-of-44q2snpzy9.pdf

Ethno-botanical and morphological characterisation of cocoyams (Colocasia esculenta L. Schott and Xanthosoma sagittifolum L. Schott) germplasm in Malawi.

Morphological and genetic characterization of mango varieties in Mozambique.

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Morphological and genetic characterisation of mango varieties in Mozambique.

Ethno-botanical and morphological characterisation of cocoyams (Colocasia esculenta L. Schott and Xanthosoma sagittifolum L. Schott) germplasm in Malawi.

Morphological and genetic characterization of mango varieties in Mozambique.