A simple technique of controlled breeding of carps in semi-arid environment

A semi-arid environment is a major constraint for production of carp seed through hypophysation. At a water temperature above 31 degree C fishes often fail to respond to induced breeding or produce partial or full eggs with fairly less fertilization, leading to their mortality during embryonic development. Field trials with Labee rohita and Cyprinus carpio communis prove that hypophysation followed by stripping and hatching in a water medium with reduced temperature (below 31 degree C) through controlled use of ice-water and water showers can result in 50-60% fertilization of eggs and 50-72% hatching for L. rohita, and 40-90% fertilization and 49-77% hatching for C. carpio communis. Simultaneous breeding experiments of the species in normal water temperature (>31 degree C) showed negative results.

Processing aspects of Indian mackerel: a review

Indian mackerel belongs to the family Scombridae and the genus Rastrelliger. The Indian mackerel, Rastrelliger kanagurta (Cuvier), is a pelagic shoaling fish widely distributed in the Indo Pacific region with maximum abundance in Indian coasts. Another species, R. brachysoma (Bleeker), also is reported from the Andamans in Indian waters. However, the former is the species that supports the fishery in India (Nair, 1970).

LES of heat transfer in electronics

Numerical methods based on the Reynolds Averaged Navier-Stokes (RANS) and Large Eddy Simulation (LES) equations are applied to the thermal prediction of flows representative of those found in and around electronics systems and components. Low Reynolds number flows through a heated ribbed channel, around a heated cube and within a complex electronics system case are investigated using linear and nonlinear LES models, hybrid RANS-LES and RANS-Numerical-LES (RANS-NLES) methods. Flow and heat transfer predictions using these techniques are in good agreement with each other and experimental data for a range of grid resolutions. Using second order central differences, the RANS-NLES method performs well for all simulations. © 2011 Elsevier Inc.