Plant biodiversity of mountain grasslands as influenced by dairy farm management in the Eastern Alps

It has been widely demonstrated that farm management affects the plant species composition of grassland. The present study aimed to investigate the effect of farm management on plant species richness and composition in forty-nine small-scale farms breeding dairy cattle, located in the Eastern Italian Alps at two levels of precision: plot and farm levels. Data on housing system, quality scheme, farm productivity, income from milk yield and livestock density were collected through interviews with farmers. In each farm, botanical surveys were carried out in different plots representing the botanical composition of the farmland vegetation. Elevation, slope, type of use, number of hay cuts and type of fertilisation were also recorded. The botanical surveys of the plots on each farm were analysed to describe plant composition at the plot level, then merged to describe plant composition at the farm level. At both levels, grassland botanical composition was found to be affected by farm management. At the plot level, meadows cut 2 and 3 times per year did not exhibit any differences in plant richness, but they differed in plant species, botanical family and phytosociological class composition, with a general simplification of botanical composition. We found fewer phytosociological classes but not fewer plant species or botanical families in plots fertilised with slurry than in plots fertilised with manure or not fertilised, and a change in the botanical composition due to changes in the relative abundance of plant species. At the farm level, we observed a decrease in the number of plant species and phytosociological classes, and changes in plant composition, with increasing milk yield and livestock density. Changes in botanical composition were less evident at the farm level than at the plot level. However, protecting farms and their economic viability is a means of maintaining biodiversity at the plot level

Extreme events in Italy from documentary sources: Venice as a case study

Venice risks to be submerged as a consequence of two problems: local land subsidence and sea level rise due to global warming. They both contribute to what is referred as Apparent Sea Level Rise (ASLR). Flooding Tides (locally: Acqua Alta) submerge Venice with an exponentially increasing frequency. The Acqua Alta is generated by a number of factors, the main of them being the Sirocco wind blowing over the Adriatic Sea, that ultimately displaces waters towards Venice. These extreme events have been investigated by using the documentary description of past floods, accurately reported over the last millennium, and tide gauge records for the recent period. A fundamental problem is to know the trend of the ASLR, possibly distinguishing between land subsidence and sea level components. Instrumental data go back to 1872 and a key point is to extend ourkno wledge back in time. Long-term ASLR has been investigated with the help of a biological indicator, i.e. the height of the green belt of the algae that live in the tidal range and whose upper front shows the average high tide level. Fortunately, in the first half of the 18th century, this indicator was accurately drawn by the famous painter Antonio Canaletto (1697-1768) and his pupils, mainly Bernardo Bellotto (1722-1780), in their photographic paintings made with an optical camera obscura. It has been possible to compare the tidal level, as it was in the 1700s and today. After careful spot investigation and minor corrections for some changes to the hydrological system occurred in the meantime, the bulk submersion of Venice estimated from the paintings is 61 ± 11 cm with average yearly trend 1.9 mm y−1

Effect of dairy farming system, herd, season, parity, and days in milk on modeling of the coagulation, curd firming, and syneresis of bovine milk

The objectives of this study were to characterize the variation in curd firmness model parameters obtained from coagulating bovine milk samples, and to investigate the effects of the dairy system, season, individual farm, and factors related to individual cows (days in milk and parity). Individual milk samples (n=1,264) were collected during the evening milking of 85 farms representing different environments and farming systems in the northeastern Italian Alps. The dairy herds were classified into 4 farming system categories: traditional system with tied animals (29 herds), modern dairy systems with traditional feeding based on hay and compound feed (30 herds), modern dairy system with total mixed ration (TMR) that included silage as a large proportion of the diet (9 herds), and modern dairy system with silage-free TMR (17 herds). Milk samples were analyzed for milk composition and coagulation properties, and parameters were modeled using curd firmness measures (CFt) collected every 15 s from a lacto-dynamographic analysis of 90min. When compared with traditional milk coagulation properties (MCP), the curd firming measures showed greater variability and yielded a more accurate description of the milk coagulation process: the model converged for 93.1% of the milk samples, allowing estimation of 4 CFt parameters and 2 derived traits [maximum CF (CFmax) and time from rennet addition to CFmax (tmax)] for each sample. The milk samples whose CFt equations did not converge showed longer rennet coagulation times obtained from the model (RCTeq) and higher somatic cell score, and came from less-productive cows. Among the sources of variation tested for the CFt parameters, dairy herd system yielded the greatest differences for the contrast between the traditional farm and the 3 modern farms, with the latter showing earlier coagulation and greater instant syneresis rate constant (kSR). The use of TMR yielded a greater tmax because of a higher instant curd-firming rate constant (kCF). Season of sampling was found to be very important, yielding higher values during winter for all traits except kCF and kSR. All CFt traits were affected by individual cow factors. For parity, milk produced by first-lactation cows showed higher kCF and kSR, but delays in achieving CFmax. With respect to stage of lactation, RCTeq and potential asymptotic CF increased during the middle of lactation and stabilized thereafter, whereas the 2 instant rate constants presented the opposite pattern, with the lowest (kCF) and highest (kSR) values occurring in mid lactation. The new challenge offered by prolonging the test interval and individual modeling of milk technological properties allowed us to study the effects of parameters related to the environment and to individual cows. This novel strategy may be useful for investigating the genetic variability of these new coagulation traits. \ua9 2015 American Dairy Science Associatio

Cheesemaking in highland pastures: Milk technological properties, cream, cheese and ricotta yields, milk nutrients recovery, and products composition

Summer transhumance of dairy cows to high Alpine pastures is still practiced in many mountainous areas. It is important for many permanent dairy farms because the use of highland pastures increases milk production and high-priced typical local dairy products often boost farm income. As traditional cheese- and ricotta-making procedures in Alpine pastures are central to this dairy system, the objective of this study was to characterize the quality and efficiency of products and their relationships with the quality and availability of grass during the grazing season. The milk from 148 cows from 12 permanent farms reared on a temporary farm located in Alpine pastures was processed every 2 wk during the summer (7 cheesemakings from late June to early September). During each processing, 11 dairy products (4 types of milk, 2 by-products, 3 fresh products, and 2 ripened cheeses) were sampled and analyzed. In addition, 8 samples of fresh forage from the pasture used by the cows were collected and analyzed. At the beginning of the pasture season the cows were at 233 \ub1 90 d in milk, 2.4 \ub1 1.7 parities, and produced 23.6 \ub1 5.7 kg/d of milk. The milk yield decreased with the move from permanent to temporary farms and during the entire summer transhumance, but partly recovered after the cows returned to the permanent farms. Similar trends were observed for the daily yields of fat, protein, casein, lactose, and energy, as we found no large variations in the quality of the milk, with the exception of the first period of Alpine pasture. The somatic cell counts of milk increased during transhumance, but this resulted from a concentration of cells in a lower quantity of milk rather than an increase in the total number of cells ejected daily from the udder. We noted a quadratic trend in availability of forage (fresh and dry matter weight per hectare), with a maximum in late July. The quality of forage also varied during the summer with a worsening of chemical composition. The evening milk (before and after natural creaming), the whole morning milk, and the mixed vat milk had different chemical compositions, traditional coagulation properties, and curd-firming modeling parameters. These variations over the pasture season were similar to the residual variations with respect to chemical composition, and much lower with respect to coagulation and curd-firming traits. Much larger variations were noted in cream, cheese, and ricotta yields, as well as in nutrient recoveries in curd during the pasture season. The protein content of forage was correlated with some of the coagulation and curd-firming traits, the ether extract of forage was positively correlated with milk fat content and cheese yields, and fiber fractions of forage were unfavorably correlated with some of the chemical and technological traits. Traditional cheese- and ricotta-making procedures showed average cream, cheese, and ricotta yields of 6.3, 14.2, and 4.9%, respectively, and an overall recovery of almost 100% of milk fat, 88% of milk protein, and 60% of total milk solids

A study on the risk of subaortic and pulmonic stenosis and on genetic aspects of echocardiography measurements in the Italian Boxer dog

Subaortic and pulmonic stenosis are congenital cardiac defects affecting several dog breeds (Jacobs, 1990; Buchanan, 1992; Tidholm, 1997). Subaortic stenosis (SAS) is characterized by a fibrous ring of tissue placed immediately below the aortic valve

Plant-derived peptides rubiscolin-6, soymorphin-6 and their c-terminal amide derivatives: pharmacokinetic properties and biological activity

The aim of this work is to investigate the pharmacokinetic properties, antinociceptive and antioxidant activities of rubiscolin-6, soymorphin-6 and their C-terminal amides; The four peptides were synthesized following Fmoc-SPPS strategy to give the final peptides in excellent overall yields and purity following analytical RP-HPLC analysis. None of them shows antioxidant activity and α-tyrosinase inhibition in vitro. All compounds are able to activate G-protein coupled receptor at the δ-opioid receptor (DOR) at 100 μM concentration however, rubiscolin-6-amide exhibits significative antinociceptive effect after i.c.v. administration in the tail flick test (TF) and s.c. administration in the formalin test (FT). Rubiscolin-6 shows the best in vitro intestinal bioavailability in CaCo2 cell monolayer and stability to the brush border exopeptidases in the apical compartment. In silico experiments show the interaction of rubiscolin-6 and rubiscolin-6 amide at the binding cavity of DOR compared with the crystallographic ligand TIPP-NH2

Demography and disorders of German Shepherd Dogs under primary veterinarycare in the UK

The German Shepherd Dog (GSD) has been widely used for a variety of working roles. However, concerns for the health and welfare of the GSD have been widely aired and there is evidence that breed numbers are now in decline in the UK. Accurate demographic and disorder data could assist with breeding and clinical prioritisation. The VetCompassTM Programme collects clinical data on dogs under primary veterinary care in the UK. This study included all VetCompassTM dogs under veterinary care during 2013. Demographic, mortality and clinical diagnosis data on GSDs were extracted and reported

Impronta ambientale degli allevamenti montani di vacche da latte

L’obiettivo era quello dianalizzare l’impronta ambientale (metodo Life Cycle Assessment) della produzione di latte inallevamenti bovini delle Alpi orientali. Lo studio (Progetto TOPValue, Programma Interreg V-A Italia-Austria 2014-2020)ha coinvolto 75 aziende (38±25 UBA, 20.9±5.4 kg/vacca/ddi latte corretto per il tenore di proteina e grasso), per le quali sono stati raccolti dati circa la gestione degli animali e dei reflui, le produzioni agrarie e gli approvvigionamenti extra-aziendali. Gli indicatori di sostenibilità sono stati i seguenti: impronta del carbonio (CC, kg CO2-eq), del potenziale eutrofizzante (EP, g PO4-eq), per 1 kg di latte (1.2±0.2 kg CO2-eq e 6.0±1.7 g PO4-eq) e per 1 m2di superficie agraria (0.5±0.2 kg CO2-eq e 2.7±1.0 g PO4-eq), e l’efficienza di conversione dell’energia grezza degli alimenti potenzialmente edibilida parte dell’uomo (HeECR, MJ alimenti/MJ latte). Gli indicatori sono stati testati per l’effetto della classe di dimensione aziendale (3 classi) e per l’effetto dell’uso del pascolo per le vacche in produzione (presenza/assenza). L’effetto dimensionale non è risultato significativo per nessun indicatore. Le aziende con vacche in produzione al pascolo presentano valori simili di impatto (CC e EP) per 1 kg di latte, significativamente inferiori (P<0.01) per 1 m2e circa HeECR (-41%), rispetto le aziende con vacche in stalla tutto l’anno. I risultati mostrano come le aziende a gestione più tradizionale (aziende di piccola scala che utilizzano il pascolo) riescano a sfruttare in modo ottimale le risorse foraggere locali senza penalizzazioni circa la loro impronta ambientale