The effects of match-playing aspects and situational variables on achieving score-box possessions in Euro 2012 Football Championship

The aim of this study was to examine the independent and interactive effects of several match-playing aspects and situational variables on the probability of achieving score-box possessions in the 2012 European Championship. The non-clinical magnitude-based inferences method was used to interpret the true effect of the performance indicators on the response variable. The logistic regression analysis in univariate perspective showed that the probability of achieving score-box possessions was greater in the second half than in the first (OR: 1.23, P<0.05, very likely positive effect), but it was lower when a team performed a direct attack rather than a possession play (OR: 0.49, P< 0.001, most likely negative effect), when the possession started in the right path of the field than in the left (OR: 0.69, P < 0.01, most likely negative effect), and when a team played against highest ranked team (from very to most likely negative effect). In multivariate perspective, the negative effect of the direct attack to the probability of achieving score-box possessions was confirmed, and an interactive effect showed that this outcome was greater in the knockout phase of the tournament than in the relative group-stage (OR: 0.62, P< 0.05, very likely negative effect)

Effects of Fungicide Treatments for the Control of Epidemic and Exotic Calonectria Diseases in Italy

The efficacy of 11 fungicides was evaluated for the control of Calonectria infections on bottlebrush (Callistemon "Masotti") and feijoa (Acca sellowiana), with special emphasis on Calonectria pauciramosa and C. morganii, which are the most destructive species in Italian ornamental nurseries. Three nursery experiments were performed with the selected fungicides in order to determine their ability to prevent leaf spot caused by C. morganii on bottlebrush and leaf spot and crown and root rot caused by C. pauciramosa on bottlebrush and feijoa. All fungicides were effective in reducing disease infections, except for cyproconazole, propamocarb + fosetyl-Al, and K phosphite that were the least effective in reducing C. morganii leaf spot. In contrast, K phosphite proved more effective in reducing crown and root rot caused by C. pauciramosa. Fungicides were also evaluated in growth-cabinet experiments for their ability to reduce incidence and severity of leaf spot on bottlebrush caused by the exotic pathogens C. pseudomexicana, C. tunisiana, C. polizzii, and C. mexicana. Copper hydroxide, fosetyl-Al, prochloraz, prochloraz + cyproconazole, and tebuconazole were always effective in reducing Calonectria leaf spot on bottlebrush. However, some differences in levels of control might be attributable to Calonectria isolate. Overall, this study clearly indicates that new fungicides can be employed for chemical management of Calonectria infections in ornamental nurseries

Artificial Neural Networks for Predicting the Water Retention Curve of Sicilian Agricultural Soils

Modeling soil-water regime and solute transport in the vadose zone is strategic for estimating agricultural productivity and optimizing irrigation water management. Direct measurements of soil hydraulic properties, i.e., the water retention curve and the hydraulic conductivity function, are often expensive and time-consuming, and represent a major obstacle to the application of simulation models. As a result, there is a great interest in developing pedotransfer functions (PTFs) that predict the soil hydraulic properties from more easily measured and/or routinely surveyed soil data, such as particle size distribution, bulk density (ρb), and soil organic carbon content (OC). In this study, application of PTFs was carried out for 359 Sicilian soils by implementing five different artificial neural networks (ANNs) to estimate the parameter of the van Genuchten (vG) model for water retention curves. The raw data used to train the ANNs were soil texture, ρb, OC, and porosity. The ANNs were evaluated in their ability to predict both the vG parameters, on the basis of the normalized root-mean-square errors (NRMSE) and normalized mean absolute errors (NMAE), and the water retention data. The Akaike's information criterion (AIC) test was also used to assess the most efficient network. Results confirmed the high predictive performance of ANNs with four input parameters (clay, sand, and silt fractions, and OC) in simulating soil water retention data, with a prediction accuracy characterized by MAE = 0.026 and RMSE = 0.069. The AIC efficiency criterion indicated that the most efficient ANN model was trained with a relatively low number of input nodes

Postharvest biocontrol ability of Pseudomonas synxantha against Monilinia fructicola and Monilinia fructigena on stone fruit

The biocontrol properties of the endophyte Pseudomonas synxantha DLS65 were tested in vitro and in vivo against Monilinia fructicola and Monilinia fructigena, causal agents of postharvest brown rot of stone fruit. P. synxantha cells significantly reduced the mycelial growth of both pathogens on Potato Dextrose Agar (PDA), and strongly inhibited the Monilinia fructicola growth on Peach Extract Agar (PEA). Cell-free culture filtrates inhibited the pathogens on PDA and PEA to lesser extent. The production of volatile organic compounds (VOCs), with in vitro inhibitory effects on mycelial growth, was also observed. P. synxantha significantly reduced brown rot incidence and severity on peach fruit artificially inoculated with M. fructicola after 5 d at 25 °C. Moreover, P. synxantha more significantly reduced incidence and severity after 10 d at 10 °C and after 20 d in cold storage at 0 °C in comparison to control fruit, even if its activity was never comparable to that of the synthetic fungicide Scholar® (fludioxonil). Similarly, P. synxantha exhibited an excellent antagonistic activity against M. fructigena on fruit at 10 and at 0 °C, and a weak biocontrol activity at 25 °C. Competition for nutrients and space, production of diffusible toxic metabolites and VOCs may play a role in the antagonism of P. synxantha toward M. fructicola and M. fructigena, especially at the lowest temperatures of storage. For that reason, this strain of P. synxantha could be suggested as active ingredient for the setting up of bioformulates against Monilinia species representing a limiting factor for stone fruit production

Cylindrocladiella peruviana and Pleiocarpon algeriense causing stem and crown rot on avocado (Persea americana)

AbstractDuring the winter of 2018, 3-years-old trees of avocado (Persea americana) cv "Hass" from Trapani province (Sicily, Italy) showed symptoms of stem and crown rot. Two different fungi were consistently isolated from infected tissues. Morphological characterization and multi-locus phylogenies using five genomic loci (ITS, tef1, tub2, his3, and rpb2) identified these fungi as Cylindrocladiella peruviana and Pleiocarpon algeriense. Pathogenicity tests on healthy 5-months-old seedlings and 3-year-old trees of avocado reproduced similar symptoms as those observed in nature, and Koch's postulates were fulfilled for both pathogens. Moreover, the tested fungal isolates revealed a different pathogenic behaviour among two species. Two isolates of Pleiocarpon algeriense resulted more aggressive than Cylindrocladiella peruviana isolates causing major lesions on young seedlings. This study is the first to report of stem and crown rot on avocado caused by Cylindrocladiella peruviana and Pleiocarpon algeriense

“Sfogliatella Riccia Napoletana”: Realization of a Lard-Free and Palm Oil-Free Pastry

“Sfogliatella riccia napoletana” is a typical pastry from Naples (Italy), traditionally produced using lard. In the bakery industry, palm oil is widely used to replace lard in order to obtain products without cholesterol, but it is currently under discussion, which is mostly related to the sustainability of its cultivation. Therefore, in this work, lard was replaced with palm oil-free vegetable blends composed of sunflower oil, shea butter, and coconut oil in different percentages. Traditional pastries produced with lard and pastries produced with palm oil were used as controls. Moisture, aw, free acidity, peroxide value, fatty acids, total polar compounds, and global acceptability were determined in the obtained pastries. The results indicated that the use of a vegetable oil blend composed of 40% sunflower oil, 40% shea butter, and 20% coconut oil minimized the formation of oxidized compounds (peroxides and total polar compounds) during cooking and produced a product with a moisture content very similar to that of the traditional pastry that was appreciated by consumers