Effect of dietary supplementation with seaweed and polyphenols mixture on antioxidant status, concentration and motility of rabbit spermatozoa

In recent years, many studies have been focused on natural substances that could have effect on health of animals. We investigated effect of extract consisting mainly of polyphenols, brown algae and plant polysaccharides on the reproduction potential of male rabbits (New Zealand white breed) during 60 days long dietary experiment. The rabbits were divided into three groups. Control was fed a basal diet, whereas the second and third group were supplemented with seaweed and polyphenols mixture: T1 = 0.3% and T2 = 0.6% respectively. We observed that sperm concentration in both experimental groups increased in comparison to the control group. Results of the CASA analysis showed enhanced motility (C = 85.09±7.53%, T1 = 87.21±8.25%, T2 = 89.38±8.02%) and progressive motility (C = 74.28±12.6%, T1 = 79.07±13.89%, T2 = 81.28±11.37%) in experimental groups supplemented with combination of algae and polyphenols in comparison with the control group. While monitoring ferric reducing ability of plasma (FRAP), we found the highest value in T1 group, changes were insignificat. An increase in GPx activity was measured in experimental groups in comparison with the control group with major difference in T1 group. In experimental groups, we determined an increase in activity of superoxide dismutase (SOD) in comparison with control group, the difference was significant in T2 group (C = 0.26±0.11 U/mg TP; T2 = 0.31±0.09 U/mg TP). In conclusion, our studies suggest that dietary supplementation with brown seaweed and plant polyphenols mixture may be potentially useful for enhancement of sperm motility and protection against oxidative stress

Lippia citriodora (verbascoside) extract supplementation: Effect on rabbit semen quality in vivo and in vitro

Verbascoside, the main component of Lippia citriodora extract, is one of the most powerful free radical scavengers exhibiting a wide biological activity. In in vivo study 20 adult New Zealand white rabbit bucks were divided into two homogeneous groups, one control (CON) and one verbascoside-supplemented (0.1%) in feed mixture (EXP) and later in vitro effects of verbascoside on the motility aspects of rabbit spermatozoa were analysed. The spermatozoa concentration, ejaculate volume, spermatozoa motility, progressive motility, distance parameters, velocity parameters and type of spermatozoa movement were negatively affected by Lippia citriodora leaves extract after the first 4 weeks of dietary treatment, till the end of experiment (8 weeks). Four weeks after the suspension of feed additive supplementation, all spermatozoa traits values returned to the normality, and in line with CON group. For in vitro findings, ejaculates from 10 male New Zealand white bucks were collected using an artificial vagina. Then it was diluted in physiological saline solution containing different concentrations of verbascoside at the concentration of 0, 0.0024, 0.0219, 0.157, 120.0 mg/ml (Ctrl, VB1, VB2, VB3, VB4 groups, respectively), using a dilution ratio of 1: 4. The obtained data proved that verbascoside at the concentration of 0.0024 and 0.0219 mg/ml had no adverse effect on spermatozoa. Additionally, we found that verbascoside at higher concentrations (0.157 and 120.0 mg/ml) significantly altered all the motility parameters analysed in the experiment. In conclusion a possible negative effect of verbascoside supplementation into feed mixture (0.1%) on semen quality parameters in rabbit bucks as well as in vitro can be stated, obviously considering that target organs of antioxidant activities of phenylpropanoid glycosides are various. In addition it has to be emphasized that the extract showed a reversible action, since the semen traits of treated animals returned to the normality after the dietary administration period

Effects of dietary plant polyphenols and seaweed extract mixture on male-rabbit semen: Quality traits and antioxidant markers

Feed additive consisting of polysaccharides from brown seaweeds plus phenolic acid, hydroxycinnamic acids, tannins, and flavonoids from plant extracts, was used as rabbit food supplement. Main aim of the study was to determine the effect of natural mix of marine and freshwater seaweed polyphenols on selected reproductive characteristics of male rabbits during the 90-days experiment. Natural mix was incorporated in feed-pellets for rabbits in two different concentrations – 0.3% (T1 group) and 0.6% (T2 group), compared with a control group (C group). In experimental groups a significant increase of concentration of calcium during first 30 days of supplementation was found. An increase of alanine aminotransferase, glutathione peroxidase and ferric reducing ability of plasma and a decrease in aspartate aminotransferase after 90 days were recorded in the same groups. Except for that we noticed decrease of semen distance of curved line and velocity of curved line after 30 days though only while being supplemented with 0.6% proportion of seaweed polyphenols in feed mixture. Based on the results it can be stated that the natural mix in the tested levels do not show adverse effect on male rabbit reproductive parameters, and an improvement of antioxidant status was observed. The feed additives can have a very important effect on growth, health and development of animals in general as it supplies the with the much-needed minerals, nutritional substances and antioxidants, on which we focused in our study

End-to-end tracking and semantic segmentation using recurrent neural networks

In this work we present a novel end-to-end framework for tracking and classifying a robot’s surroundings in complex, dynamic and only partially observable real-world environments. The approach deploys a recurrent neural network to filter an input stream of raw laser measurements in order to directly infer object locations, along with their identity in both visible and occluded areas. To achieve this we first train the network using unsupervised Deep Tracking, a recently proposed theoretical framework for end-to-end space occupancy prediction. We show that by learning to track on a large amount of unsupervised data, the network creates a rich internal representation of its environment which we in turn exploit through the principle of inductive transfer of knowledge to perform the task of it’s semantic classification. As a result, we show that only a small amount of labelled data suffices to steer the network towards mastering this additional task. Furthermore we propose a novel recurrent neural network architecture specifically tailored to tracking and semantic classification in real-world robotics applications. We demonstrate the tracking and classification performance of the method on real-world data collected at a busy road junction. Our evaluation shows that the proposed end-to-end framework compares favourably to a state-of-the-art, model-free tracking solution and that it outperforms a conventional one-shot training scheme for semantic classification

Large-scale cost function learning for path planning using deep inverse reinforcement learning

We present an approach for learning spatial traversability maps for driving in complex, urban environments based on an extensive dataset demonstrating the driving behaviour of human experts. The direct end-to-end mapping from raw input data to cost bypasses the effort of manually designing parts of the pipeline, exploits a large number of data samples, and can be framed additionally to refine handcrafted cost maps produced based on manual hand-engineered features. To achieve this, we introduce a maximum-entropy-based, non-linear inverse reinforcement learning (IRL) framework which exploits the capacity of fully convolutional neural networks (FCNs) to represent the cost model underlying driving behaviours. The application of a high-capacity, deep, parametric approach successfully scales to more complex environments and driving behaviours, while at deployment being run-time independent of training dataset size. After benchmarking against state-of-the-art IRL approaches, we focus on demonstrating scalability and performance on an ambitious dataset collected over the course of 1 year including more than 25,000 demonstration trajectories extracted from over 120 km of urban driving. We evaluate the resulting cost representations by showing the advantages over a carefully, manually designed cost map and furthermore demonstrate its robustness towards systematic errors by learning accurate representations even in the presence of calibration perturbations. Importantly, we demonstrate that a manually designed cost map can be refined to more accurately handle corner cases that are scarcely seen in the environment, such as stairs, slopes and underpasses, by further incorporating human priors into the training framework

Large-scale cost function learning for path planning using deep inverse reinforcement learning

We present an approach for learning spatial traversability maps for driving in complex, urban environments based on an extensive dataset demonstrating the driving behaviour of human experts. The direct end-to-end mapping from raw input data to cost bypasses the effort of manually designing parts of the pipeline, exploits a large number of data samples, and can be framed additionally to refine handcrafted cost maps produced based on manual hand-engineered features. To achieve this, we introduce a maximum-entropy-based, non-linear inverse reinforcement learning (IRL) framework which exploits the capacity of fully convolutional neural networks (FCNs) to represent the cost model underlying driving behaviours. The application of a high-capacity, deep, parametric approach successfully scales to more complex environments and driving behaviours, while at deployment being run-time independent of training dataset size. After benchmarking against state-of-the-art IRL approaches, we focus on demonstrating scalability and performance on an ambitious dataset collected over the course of 1 year including more than 25,000 demonstration trajectories extracted from over 120 km of urban driving. We evaluate the resulting cost representations by showing the advantages over a carefully, manually designed cost map and furthermore demonstrate its robustness towards systematic errors by learning accurate representations even in the presence of calibration perturbations. Importantly, we demonstrate that a manually designed cost map can be refined to more accurately handle corner cases that are scarcely seen in the environment, such as stairs, slopes and underpasses, by further incorporating human priors into the training framework

Effect of dietary Lippia citriodora extract on reproductive and productive performance and plasma biochemical parameters in rabbit does

Two doses of natural extract from Lippia citriodora (titrated in verbascoside) were assessed in New Zealand White rabbit does evaluating selected reproductive, productive and plasma biochemical parameters. After 1 week of adaptation period, the trial on 45 rabbit does for three consecutive reproductive cycles was conducted; does were divided into three groups of 15 animals each, homogenous by age (1 year ± 2 weeks), bodyweight (4.77 ± 0.21 kg) and parity (2 ± 1). A control group (CON) did not receive the dietary supplement in the feed and the other two groups received 1 g of natural extract supplement in the feed (5 mg verbascoside/kg feed; LNE) and 2 g of natural extract (10 mg verbascoside/kg feed; HNE). The use of a dietary NE supplement improved kit bodyweight at weaning (934 vs 1104 g; P < 0.001), and average daily weight gain from birth to weaning (24.7 vs 29.7 g/day; P < 0.001), with no NE dose effect. In the LNE and HNE groups serum triglycerides, total cholesterol, low density lipoprotein cholesterol, bilirubin, and activities of alkaline phosphatase, alanine aminotransferase (P < 0.05) and aspartate aminotransferase (P < 0.01) decreased and high density lipoprotein cholesterol (P < 0.01) increased, according to the cycle effect. The dietary supplement also improved blood oxidative status markers in the experimental groups due to an increase in the concentrations of plasma vitamin A and E (P < 0.01) and a decrease in plasma reactive oxygen metabolites and thiobarbituric acid reactive substances values (P < 0.01). In conclusion, the dietary Lippia NE supplement improved selected productive and reproductive parameters and the animal welfare of does, expressed by a general improvement of blood profile, with no effect of the dose

Effect of dietary Lippia citriodora extract on reproductive and productive performance and plasma biochemical parameters in rabbit does

Two doses of natural extract from Lippia citriodora (titrated in verbascoside) were assessed in New Zealand White rabbit does evaluating selected reproductive, productive and plasma biochemical parameters. After 1 week of adaptation period, the trial on 45 rabbit does for three consecutive reproductive cycles was conducted; does were divided into three groups of 15 animals each, homogenous by age (1 year \ub1 2 weeks), bodyweight (4.77 \ub1 0.21 kg) and parity (2 \ub1 1). A control group (CON) did not receive the dietary supplement in the feed and the other two groups received 1 g of natural extract supplement in the feed (5 mg verbascoside/kg feed; LNE) and 2 g of natural extract (10 mg verbascoside/kg feed; HNE). The use of a dietary NE supplement improved kit bodyweight at weaning (934 vs 1104 g; P < 0.001), and average daily weight gain from birth to weaning (24.7 vs 29.7 g/day; P < 0.001), with no NE dose effect. In the LNE and HNE groups serum triglycerides, total cholesterol, low density lipoprotein cholesterol, bilirubin, and activities of alkaline phosphatase, alanine aminotransferase (P < 0.05) and aspartate aminotransferase (P < 0.01) decreased and high density lipoprotein cholesterol (P < 0.01) increased, according to the cycle effect. The dietary supplement also improved blood oxidative status markers in the experimental groups due to an increase in the concentrations of plasma vitamin A and E (P < 0.01) and a decrease in plasma reactive oxygen metabolites and thiobarbituric acid reactive substances values (P < 0.01). In conclusion, the dietary Lippia NE supplement improved selected productive and reproductive parameters and the animal welfare of does, expressed by a general improvement of blood profile, with no effect of the dose