1,720,991 research outputs found

    Downy Mildew (Plasmopara Halstedii) Infection in High Oleic Sunflower Hybrids in Northern Italy

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    This study was conducted to evaluate the behavior of some high oleic sunflower hybrids towards the race of Plasmopara halstedii present in the environment and to analyze the main climatic factors affecting development and spread of the disease in order to draw up the basis for a prediction model of disease incidence. The race was determined by means of artificial infection of differential inbred lines in a growth chamber experiment and a field trial was also done to study the effects of the factors genotype, sowing time and seed dressing on the infection percentage of P. halstedii during different sunflower growing stages. The Pl genes responsible for resistance to race 700, detected in the trial area and named according to the international code, were absent in all the high oleic hybrids studied, which, however, manifested a partial resistance to downy mildew, probably due to the partial polygenic, non-qualitative and non-specific resistance to the race detected. Seed treatment with metalaxyl helped to limit the severity of P. halstedii attack to 5% of plants infected, but with a maximum of 19.6% in the susceptible check. Concerning the environmental conditions, water availability did not result as being limiting for the infection, whereas the most favorable mean air temperatures during the 5 days following sowing ranged from 10 to 15°C

    Rilievi fitopatologici su varietà di girasole a confronto nel 1986

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    I principali parassiti presenti in Italia sulla coltura in semina primaverile sono: peronospora, marciume carbonioso dello stelo, marciume dello stelo e della calatide, muffa grigia, marciume della calatide, ruggine, maculatura fogliare, oidio, stelo nero, orobanche. L'avversità più pericolosa rimane il marciume carbonioso dello stelo che può causare danni significativi alla produzione

    Suitability assessment of different hemp (Cannabis sativa L.) varieties to the cultivation environment

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    Hemp crop is nowadays spreading in many new areas and then the prediction of crop behavior and performance in different specific environments could be of interest. This study presents a methodology to assess hemp suitability to cropping environments by a combined approach of experimental trials and simulation. The experiment of this study involved six hemp varieties, evaluated for dual-purpose production (seed and stem) during two years of trials in North-East Italy. The results were exploited to develop and calibrate a simulation model able to evaluate hemp crop suitability to the trial environment. Yields obtained for hemp biomass and stems were similar to that of other European experiments, while seed production was shown to be slightly lower. Excessive temperature (daily maximum temperatures over 30 °C) during the grain-filling phase would be one of the main factors affecting seed quality, limiting the seed oil accumulation. Parameters already available in the literature and data obtained from the present experiment were used in the modelling approach to estimate phenological parameters, seed production as affected by water stress, and seed oil content as a function of temperature during the grain-filling period. In order to evaluate the hemp crop suitability to the environment, a scenario analysis using historical meteorological data was performed to predict variability - with different irrigation regimes - of seed yield, seed oil content, maturity date and required seasonal irrigation volume, for each variety in the soil and climatic conditions of the trial site

    Simulation of the Agro-Energy Farm with the X-Farm Model: Calibration of the Crop Module for Sorghum Yield

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    This paper presents the X-farm model, a dynamic farm simulation model created to manage sustainable farming systems and to improve the planning capability of farms. X-farm considers an “agro-energy farm” where energy self-sufficiency results from the production, transformation and use of biomass obtained from the farm crops. The X-farm model is formed by different modules, integrated to describe the components of the agro-energy farm and grouped into management, production, soil and accountability (in terms of energy, environment and economy) sections. The main farm productions are the field crop yields. The model simulates a farm in which cereal and forage yield, oil seeds, milk and meat can be sold or reused. A preliminary calibration of the crop module of X-farm has been performed using experimental data from Sorghum bicolor L. (Moench) trials. X-farm has been implemented and calibrated using the SEMoLa language and simulation framework. Simulations of different cropping scenarios have been performed to test the X-farm capabilities to simulate complex farming systems, in order to be used as a decision-support tool

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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