Stock discrimination ofSperata aorfrom river Ganga using microsatellite markers: implications for conservation and management

Characterization of sheep populations of Kenya using microsatellite markers: Implications for conservation and management of indigenous sheep populations

Indigenous sheep of Kenya are very important to resource-poor farmers and pastoralists. They have over time adapted to the harsh environmental conditions of the arid and semi-arid lands where they are faced with challenges of persistent droughts, diseases, conflicts and poor nutrition, yet show resistance to gastrointestinal nematodes. In recent years, these indigenous sheep populations have be...

Status Paper for River Ganga

Discrimination of common bean cultivars using multiplexed microsatellite markers.

Analysis of DNA polymorphisms allows for the genetic identification and precise discrimination of species with a narrow genetic base such as common bean. The primary objectives of the present study were to molecularly characterize commercial common bean varieties developed at various research institutions using microsatellite markers and to determine the degree of genetic diversity among the be...

Microsatellite Markers in Amphibian Conservation Genetics

Recent technical advances allow straightforward access to genetic information directly drawn from DNA. The present article highlights the suitability of high variation molecular genetic markers, such as microsatellites, for studies relevant to amphibian conservation. Molecular markers appear particularly useful for i) measuring local gene flow and migration, ii) assigning individuals to their m...

Assessment and Management of Ganga River Water Quality Using Multivariate Statistical Techniques in India

Multivariate statistical techniques, such as cluster analysis and principal component analysis (PCA), were applied for evaluation of spatial variations and interpretation of large complex water quality data set of the Ganga river basin, generated during one year (2013-2014) monitoring of eight water parameters at seven different sites. Hierarchical cluster analysis grouped seven sampling sites ...