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  • Influence of satellite-derived oceanographic characteristics on sea truth fishery data of Indian mackerel, Rastrelliger kanagurta

    The study aimed to identify the most relevant variable from remote sensing data that may be utilized to forecast species-specific fish availability. Because of the schooling habits and reliance on surface productivity, the Indian mackerel, Rastrelliger kanagurta, has been suggested as a prospective species for such investigations in tropical waters. The current study showed how a geographic database can aid in focusing attention on key oceanic characteristics that can serve as the most dependable predictors of fish abundance. Generalized Additive Model (GAM) on the GIS platform was used to analyze satellite-derived Chlorophyll (Chl.) data, Sea Surface Temperature (SST) data and geo-referenced catch weights of Indian Mackerel. When comparing moderate and low catch weighting to high catch weighting, the Chl. content was highly significant. SST was important when the catch weighting was high, but not when the catch weighting was moderate or low.

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  • Transcriptomic footprint of Mytella strigata: de novo transcriptome assembly of a major invasive species
  • Discovery of a new species of troglobitic eel loach from southern India
  • Reproductive biology of largehead cutlassfish Trichiurus lepturus Linnaeus 1758 along eastern Arabian Sea and western Bay of Bengal
  • Sulfated exopolysaccharide from Bacillus altitudinis MTCC13046 accelerates cutaneous wound healing via dermal fibroblast migration: Insights into an in vivo wound re-epithelialization
  • Unveiling the economic burden of diseases in aquatic animal food production in India
  • Morphometrics, Length-Weight Relationships and Relative Condition Factor Inportunus Sanguinolentus (Herbst, 1783) from Southeastern Arabian Sea
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