Effect of feeding gilthead seabream (Sparus aurata) with different levels of n-3 and n-6 lipids vegetable oils on fish health and resistance to stress

Se han eliminado páginas en blanco por lo que la paginación puede variar con respecto al índice

Effects of diets, with different levels of n-3 HUFA, designed specifically for gilthead seabream (Sparus auratus L.) broodstock on spawning quality

The effects of dietary lipid levels in the spawning quality has been studied in several cultured fish species. Works like those of Watanabe et al. (1984 a); Mourente et al. (1989); Dhert et al. (1991); Bruce et al. (1993); Navas et al. (1997); Rodriguez et al. (1998); Lavens et al. (1999); Furuita et al. (2002, 2003 b); Mazorra et al. (2003); Fernandez- Palacios (2005) and Aijun et al. (2005) show that lipids and fatty acids are the dietetic components that have more influence in the spawning quality, specially in those species with continuous spawning which display short vitellogenesis periods and are able to incorporate these dietetic components in eggs during the spawning period. Diets for gilthead sea bream (Sparus aurata) broodstock with dietary levels of 2.84% n-3 HUFA, combined with levels of 250 mg/kg vitamine E rasure good spawning quality. Putting so indicative the importance for an effective utilization of essential fatty acids the use of adequate levels of antioxidants.

Reliable estimation of dense optical flow fields with large displacements

[EN] In this paper we show that a classic optical flow technique by Nagel and Enkelmann can be regarded as an early anisotropic diffusion method with a diffusion tensor. We introduce three improvements into the model formulation that avoid inconsistencies caused by centering the brightness term and the smoothness term in different images use a linear scale-space focusing strategy from coarse to fine scales for avoiding convergence to physically irrelevant local minima, and create an energy functional that is invariant under linear brightness changes.  Applying a gradient descent method to the resulting energy functional leads to a system of diffusion-reaction equations. We prove that this system has a unique solution under realistic assumptions on the initial data, and we present an efficient linear implicit numerical scheme in detail. Our method creates flow fields with 100% density over the entire image domain, it is robust under a large range of parameter variations, and it can recover displacement fields that are far beyond the typical one-pixel limits which are characteristic for many differential methods for determining optical flow. We show that it performs better than the classic optical flow methods with 100%  density that are evaluated by Barron et al. (1994). Our software is available from the Internet.