The effects of dietary hesperidin supplementation on lamb performance and meat characteristics

An experiment was conducted to examine the effects of supplementing feed with hesperidin or α‐tocopheryl acetate on lambs' growth performance, carcass and meat characteristics. Sixteen male lambs were randomly assigned to four groups. One of the groups served as control and was given a basal diet, whereas the other three groups were given the same diet further supplemented with hesperidin at 1500 mg/kg, or hesperidin at 3000 mg/kg, or α‐tocopheryl acetate at 200 mg/kg. At the end of the experiment, lambs were fasted, weighed and slaughtered. After overnight chilling, samples of Longissimus thoracis muscle were taken and were used for meat quality evaluation. No significant differences were observed in final body weight, body weight gain and organ weights among the four groups. pH, color, water‐holding capacity, shear force values and intramuscular fat concentration of Longissimus thoracis muscle were also not significantly influenced by the dietary treatments. Measurement of lipid oxidation values showed that hesperidin supplementation positively influenced meat antioxidant properties during refrigerated storage.     

Exploitation of the chloroplast trnL (UAA) intron polymorphisms for the authentication of plant oils by means of a lab-on-a-chip capillary electrophoresis system

Methods to discriminate plant oils facilitate the detection of either deliberate or accidental adulteration. To this direction, the variability in length among plant species of the chloroplast trnL intron was exploited for the authentication of edible and cosmetic plant oils, with an extra emphasis on olive oil. The methodology was based on the combinatorial use of a PCR assay with a capillary electrophoresis system such as the lab-on-a-chip technology. Application of the assay on DNA extracted from different oil producing plant species, including olive oil and sesame oil, indicated the ability of the trnL intron to be used as an analytical target. Furthermore, this assay could be used for the detection of adulteration of olive oil with various other plant oils, with the exception of avocado and sesame oil.     

Modelling fish growth: multi-model inference as a better alternative to a priori using von Bertalanffy equation

The common practice among researchers who study fish growth is to a priori adopt the von Bertalanffy growth model (VBGM), which is the most used and ubiquitous equation in the fisheries literature. However, in many cases VBGM is not supported by the data and many species seem to follow different growth trajectories. The information theory approach frees the researcher from the limiting concept that a ‘true’ growth model exists. Multi‐model inference (MMI) based on information theory is proposed as a more robust alternative to study fish growth. The proposed methodology was applied to 133 sets of length‐at‐age data. Four candidate models were fitted to each data set: von Bertalanffy growth model (VBGM), Gompertz model, Logistic and the Power model; the three former assume asymptotic and the latter non‐asymptotic growth. In each case, the ‘best’ model was selected by minimizing the small‐sample, bias‐corrected form of the Akaike information criterion (AIC_c). To quantify the plausibility of each model, the ‘Akaike weight’w_i of each model was calculated. Following a MMI approach, the model averaged asymptotic length for each case was estimated, by model averaging estimations of interpreting Akaike weights as a posterior probability distribution over the set of candidate models. The VBGM was not selected as the best model in 65.4% of the cases. Most often VBGM was either strongly supported by the data (with no other substantially supported model) or had very low or no support by the data. The estimation of asymptotic length was greatly model dependent; as estimated by VBGM was in every case greater than that estimated by the Gompertz model, which in turn was always greater than that estimated by the Logistic model. The percentage underestimation of the standard error of , when ignoring model selection uncertainty, was on average 18% with values as high as 91%. Ignoring model selection uncertainty may have serious implications, e.g. when comparing the growth parameters of different fish populations. Multi‐model inference by model averaging, based on Akaike weights, is recommended as a simple and easy to implement method to model fish growth, for making robust parameter estimations and dealing with model selection uncertainty.     

Are sprouts the dominant form of regeneration in a lowland Quercus pubescens–Quercus frainetto remnant forest in Northeastern Greece? A regeneration analysis in the context of grazing

The present study was conducted in a lowland degraded Quercus remnant forest in northeastern Greece. In 2006, ten plots of 50 m × 50 m were randomly selected in two site types. Site type A is covered by Quercus pubescens–Quercus frainetto stands that are under grazing pressure. In Site type B there are Q. pubescens stands and grazing pressure is more intense. Inside these plots 180 subplots of 2 m × 2 m were established in three regeneration environments and the number of sprouts and seedlings was counted. The three regeneration environments were: (a) rather dense groups of trees, (b) areas with bare soil that alternate with areas with grazed herbs and (c) areas covered only from sparse scattered trees. Moreover the regeneration plants were classed as recently grazed and not recently grazed plants. Six years later, 180 regeneration plants having a height equal to or over 20 cm were selected and were classed as seedlings or sprouts. Sprouts were the dominant form in regeneration. The sprouting ability of Q. pubescens and Q. frainetto seems to be an adaption that enables them to endure grazing. Grazing was the main factor that determined the distribution of regeneration. The ecological differences of the two species do not seem to substantially influence their distribution in the different regeneration environments. It seems that intense grazing keeps the regeneration plants in low height. However, regeneration density can be considered adequate for the perpetuation of the studied stands if the grazing stops.     

Influences on the Distribution of Marine Debris on the Seafloor of Shallow Coastal Areas in Greece (Eastern Mediterranean)

The abundance and composition of marine benthic debris was investigated in shallow coastal areas of Greece (eastern Mediterranean). The mean total density of marine debris in the areas surveyed was 15 items per 1000 m² and ranged from 0 to 251 items per 1000 m², with plastics dominating. Much higher marine debris densities were found in this study than those found in most studies surveying the continental shelf or the deep seafloor, indicating that pollution with marine debris is more intense in coastal areas. Greater abundance of marine debris was found in bays than in open areas. Artisanal fishing activities were found to significantly contribute to marine pollution with debris. In the Saronicos Gulf, a densely populated and highly industrialized area, the abundance of marine debris was higher than the rest of the Greek areas surveyed.