Grapevine phyllosphere community analysis in response to elicitor application against powdery mildew

The reduction of antimicrobial treatments and mainly the application of environmentally friendly compounds, such as resistance elicitors, is an impelling challenge to undertake more sustainable agriculture. We performed this research to study the effectiveness of non-conventional compounds in reducing leaf fungal attack and to investigate whether they influence the grape phyllosphere. Pathogenicity tests were conducted on potted Vitis vinifera “Nebbiolo” and “Moscato” cultivars infected with the powdery mildew agent (Erysiphe necator) and treated with three elicitors. Differences in the foliar microbial community were then evaluated by community-level physiological profiling by using BiologTM EcoPlates, high throughput sequencing of the Internal Transcribed Spacer (ITS) region, and RNA sequencing for the viral community. In both cultivars, all products were effective as they significantly reduced pathogen development. EcoPlate analysis and ITS sequencing showed that the microbial communities were not influenced by the alternative compound application, confirming their specific activity as plant defense elicitors. Nevertheless, “Moscato” plants were less susceptible to the disease and presented different phyllosphere composition, resulting in a richer viral community, when compared with the “Nebbiolo” plants. The observed effect on microbial communities pointed to the existence of distinct genotype-specific defense mechanisms independently of the elicitor application

Sensitivity to Anilinopyrimidines and Phenylpyrroles in «Botrytis cinerea» in North-Italian Vineyards

Several commercial vineyards, located in Piedmont (Northern Italy), were monitored in order to evaluate the sensitivity of Botrytis cinerea Pers., the causal agent of grey mould, to five classes of botryticides: benzimidazoles, dicarboximides, phenylcarbamates, anilinopyrimidines and phenylpyrroles. Strains of B. cinerea resistant to anilinopyrimidines were easily detected, particularly in 1999, a year characterized by high disease pressure, even in vineyards not sprayed with that class of fungicides. Fludioxonil-resistance, on the contrary, was not detected. Resistance to benzimidazoles and dicarboximides was at previous observed levels. For the first time, resistance to phenylcarbamates was detected in the field. Strains of B. cinerea showing multiple resistance to benzimidazoles, dicarboximides and anilinopyrimidines and maintaining a good level of virulence, as shown by tests carried out on wounded apples, are present in Italian vineyards. Strategies in the use of the botryticides are discussed, in order to avoid a loss of disease control

The Combined Perceptron Branch Predictor

Previous works have shown that neural branch prediction techniques achieve far lower misprediction rate than traditional approaches. We propose a neural predictor based on two perceptron networks: the Combined Perceptron Branch Predictor. The predictor consists of two concurrent perceptron-like neural networks, one using as inputs branch history information, the other one using program counter bits. We carried out experiments proving that this approach provides lower misprediction rate than state-of-the-art conventional and neural predictors. In particular, when compared with an advanced path-based perceptron predictor, it features 12% improvement of the prediction accuracy

An algorithm for nonlinear equality constrained optimisation using the Di Pillo-Grippo exact penalty function

Available from British Library Document Supply Centre- DSC:8717.57(NOC-TR--159) / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo