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Allelic database and accession divergence of a Brazilian mango collection based on microsatellite markers.

TLDR
Allelic patterns and genetic distances were examined in a collection of 103 foreign and Brazilian mango accessions in order to develop a reference database to support cultivar protection and breeding programs.
Abstract
Allelic patterns and genetic distances were examined in a collection of 103 foreign and Brazilian mango (Mangifera indica) accessions in order to develop a reference database to support cultivar protection and breeding programs. An UPGMA dendrogram was generated using Jaccard's coefficients from a distance matrix based on 50 alleles of 12 microsatellite loci. The base pair number was estimated by the method of inverse mobility. The cophenetic correlation was 0.8. The accessions had a coefficient of similarity from 30 to 100%, which reflects high genetic variability. Three groups were observed in the UPGMA dendrogram; the first group was formed predominantly by foreign accessions, the second group was formed by Brazilian accessions, and the Dashehari accession was isolated from the others. The 50 microsatellite alleles did not separate all 103 accessions, indicating that there are duplicates in this mango collection. These 12 microsatellites need to be validated in order to establish a reliable set to identify mango cultivars.

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A different approach to introducing statistical mechanics

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Population genomic analysis of mango (Mangifera indica) suggests a complex history of domestication

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Identification of mango (Mangifera indica L.) landraces from Eastern and Central Kenya using a morphological and molecular approach

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The Mathematical Theory of Communication

TL;DR: The theory of communication is extended to include a number of new factors, in particular the effect of noise in the channel, and the savings possible due to the statistical structure of the original message anddue to the nature of the final destination of the information.
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PowerMarker: an integrated analysis environment for genetic marker analysis

TL;DR: PowerMarker delivers a data-driven, integrated analysis environment (IAE) for genetic data that accelerates the analysis lifecycle and enables users to maintain data integrity throughout the process.
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