Replacement of barley grains and dehydrated alfalfa by Sulla Hay (Hedysarum flexuosum) and common reed leaves (Phragmites australis) in fattening rabbits diet

Fifty-five Algerian white population rabbits were used to study the effect of the incorporation of Sulla hay (Hedysarum flexuosum) and common Reed leaves (Phragmites australis) in a pelleted feed on the growth of rabbits. At weaning (35 d), the rabbits were divided in two groups, individually caged and received ad libitum one of the two diets during 42 d. The control diet contained barley, dehydrated alfalfa, soya bean meal and wheat bran. The other diet (RS) was formulated to totally substitute barley and dehydrated alfalfa with Sulla hay and common Reed leaves. Feed intake increased distinctly in the RS group in the second period of fattening (150 vs 126). For the whole fattening period (35-77 d), growth rate was similar in the two groups (35.4 g/d) while the feed conversion was higher (p<0.01) in RS group (3.86 vs 3.23). This confirmed that using these fibre sources in a pelleted feed was valuable for fattening rabbit.Keywords: Rabbit, Growth performances, Phragmites australis, Hedysarum flexuosum

Fattening rabbits with simplified feed made from Sulla flexuosa hay, fig-tree leaves and wheat bran

Fattening rabbits with simplified feed made from Sulla flexuosa hay, fig-tree leaves and wheat bran. 10. International Symposium on the Nutrition of Herbivores (ISNH 2018

Accounting for global-mean warming and scaling uncertainties in climate change impact studies: application to a regulated lake system

International audienceA probabilistic assessment of climate change and related impacts should consider a large range of potential future climate scenarios. State-of-the-art climate models, especially coupled atmosphere-ocean general circulation models and Regional Climate Models (RCMs) cannot, however, be used to simulate such a large number of scenarios. This paper presents a methodology for obtaining future climate scenarios through a simple scaling methodology. The projections of several key meteorological variables obtained from a few regional climate model runs are scaled, based on different global-mean warming projections drawn in a probability distribution of future global-mean warming. The resulting climate change scenarios are used to drive a hydrological and a water management model to analyse the potential climate change impacts on a water resources system. This methodology enables a joint quantification of the climate change impact uncertainty induced by the global-mean warming scenarios and the regional climate response. It is applied to a case study in Switzerland, a water resources system formed by three interconnected lakes located in the Jura Mountains. The system behaviour is simulated for a control period (1961?1990) and a future period (2070?2099). The potential climate change impacts are assessed through a set of impact indices related to different fields of interest (hydrology, agriculture and ecology). The results obtained show that future climate conditions will have a significant influence on the performance of the system and that the uncertainty induced by the inter-RCM variability will contribute to much of the uncertainty of the prediction of the total impact. These CSRs cover the area considered in the 2001?2004 EU funded project SWURVE

Accounting for global mean warming and scaling uncertainties in climate change impact studies: application to a regulated lake system

A probabilistic assessment of climate change and related impacts should consider a large range of potential future climate scenarios. State-of-the-art climate models, especially coupled atmosphere-ocean general circulation models and Regional Climate Models (RCMs) can however not be used to simulate such a large number of scenarios. This paper presents a methodology to obtain future climate scenarios through a simple scaling methodology: The projections of several key meteorological variables obtained from a few regional climate model runs are scaled based on different global-mean warming projections drawn in a probability distribution of future global-mean warming. The resulting climate change scenarios are used to drive a hydrological and a water management model to analyse the potential climate change impacts on a water resources system. This methodology enables a joint quantification of the climate change impact uncertainty induced by the global-mean warming scenarios and the regional climate response. It is applied to a case study in Switzerland, a water resources system formed by three interconnected lakes located in the Jura Mountains. The system behaviour is simulated for a control period (1961 - 1990) and a future period (2070-2099). The potential climate change impacts are assessed through a set of impact indices related to different fields of interest (hydrology, agriculture and ecology). The obtained results show that future climate conditions have a significant influence on the system performance and that the uncertainty induced by the inter-RCM variability contributes to a large part to the total impact prediction uncertainty

The crystal and molecular structure of a diglycosylamine: the N-analogue of peracetylated α,β-trehalose

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Crystal and Molecular Structures of two azo-heterocyclic hybrids derived from 6-thio-D-galactopyranose

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