Designing cover crop mixtures to enhance potential weed suppression in organic no-till vegetable systems.

Introduction No-tillage in vegetable systems can provide several benefits, but it can only be implemented if there is a powerful strategy to control weeds (Morse, 1999). Cover crops are an essential part of an integrated weed management strategy in no-till organic and low input vegetable systems (Altieri et al., 2011). However, few studies focus on no-tillage practices in organic vegetable systems in European environments, particularly in Mediterranean contexts (Isik et al., 2009). Cover crop effectiveness in weed control, depend on crop traits linked with weed suppressive ability. Mixtures have been used to improve effectiveness of cover crops (Wortman et al., 2012; Smith et al., 2014, Finney et al., 2016). Nonetheless, to our knowledge, this is the first study adopting a functional approach to the design of cover crop mixtures. Our objective was to investigate the effect of functional diversity and composition of cover crops in controlling weeds before transplanting aubergine (Solanum melongena L.), highlighting the relationship between functional traits and weed suppression. Materials and Methods A field trial was performed in an organic field located at CIRAA, University of Pisa, Italy, using a randomized complete block design with 3 replicates and 18 treatments. We selected 8 cover crop species clustered into 4 functional groups as follows: i) large seeded legumes (Pisum sativum L., Vicia sativa L.) characterized by a major development in height; ii) small seeded legumes (Trifolium incarnatum L., T. squarrosum L.) that tend to rapidly cover the soil; iii) grasses (Hordeum vulgare L., Avena sativa L.) characterized by a strong competitive ability and iv) crucifers (Raphanus sativus L., Brassica nigra L.) with allelopathic potential. We designed the mixtures to create a gradient of functional diversity. We included 8 monocrop treatments, 4 two-species mixtures; 4 four-species mixtures including co-presence of 2, 3 and 4 functional groups; an eight-species mixture characterized by the highest level of species and functional diversity, and a no cover crop control. Cover crop plots (3 × 12 m) were broadcast on 27th October 2014 and devitalized on 6th May 2015 with a roller crimper followed by flame weeding. Throughout the experiment, density and height of component cover crop species was regularly recorded. Organically certified aubergine plants (cv “Dalia F1”) were transplanted 5 days after cover crop devitalization. Before devitalization, three above-ground biomass samples of 0.5 m2 per plot were collected. We separated cover crop from weed biomass, and cover crop biomass in the mixtures was further partitioned into component species. Results and Discussion We found no strong correlation between cover crop height and biomass at the time of devitalization. Instead, we found a significant negative relationship between cover crop biomass and weed biomass. This relationship was significantly influenced by treatments. The highest weed biomass was recorded for vetch, although it was significantly lower than in the control. The effect of cover crop biomass on weeds was significant for the small seeded legumes and for pea within the large seeded legumes functional group. We found no significant effect for vetch, as its development was particularly low due to poor establishment in 2014. As for grasses, the effect of cover crop biomass over weeds was not significant. In this functional group, alternative mechanisms, such as allelopathy, might have overcome the biomass effect on weeds. A clear functional differentiation between cover crop species emerges. Conclusions Cover crop mixtures showed a strong potential for weed infestation reduction, given the high amount of biomass produced (Teasdale & Abdul-Baki, 1998). As pointed out by previous research (Mirsky et al., 2013; Mohler & Teasdale 1993), a high quantity of cover crop biomass will ensure good weed suppression during subsequent cash crop cultivation. However, choice and combination of different cover crop functional groups can provide a stronger effect on weeds suppression, through mechanisms not necessarily related to higher biomass production. Our results show that functional characterization of cover crop species and the use of mixtures can be powerful tools in an integrated weed management strategy in organic or low input no-till vegetable systems

A 2-transistor/1-resistor artificial synapse capable of communication and stochastic learning in neuromorphic systems

Resistive (or memristive) switching devices based on metal oxides find applications in memory, logic and neuromorphic computing systems. Their small area, low power operation, and high functionality meet the challenges of brain-inspired computing aiming at achieving a huge density of active connections (synapses) with low operation power. This work presents a new artificial synapse scheme, consisting of a memristive switch connected to 2 transistors responsible for gating the communication and learning operations. Spike timing dependent plasticity (STDP) is achieved through appropriate shaping of the pre-synaptic and the post synaptic spikes. Experiments with integrated artificial synapses demonstrate STDP with stochastic behavior due to (i) the natural variability of set/reset processes in the nanoscale switch, and (ii) the different response of the switch to a given stimulus depending on the initial state. Experimental results are confirmed by model-based simulations of the memristive switching. Finally, system-level simulations of a 2-layer neural network and a simplified STDP model show random learning and recognition of patterns

Generalized Kohn-Sham Approach for the Electronic Band Structure of Spin-Orbit Coupled Materials

Spin-current density functional theory (SCDFT) is a formally exact framework designed to handle the treatment of interacting many-electron systems including spin-orbit coupling at the level of the Pauli equation. In practice, robust and accurate calculations of the electronic structure of these systems call for functional approximations that depend not only on the densities, but also on spin-orbitals. Here we show that the call can be answered by resorting to an extension of the Kohn-Sham formalism, which admits the use of non-local effective potentials, yet it is firmly rooted in SCDFT. The power of the extended formalism is demonstrated by calculating the spin-orbit-induced band-splittings of inversion-asymmetric MoSe$_2$ monolayer and inversion-symmetric bulk $\alpha$-MoTe$_2$. We show that quantitative agreement with experimental data is obtainable via global hybrid approximations by setting the fraction of Fock exchange at the same level which yields accurate values of the band gap. Key to these results is the ability of the method to self-consistently account for the spin currents induced by the spin-orbit interaction. The widely used method of refining spin-density functional theory by a second-variational treatment of spin-orbit coupling is unable to match our SCDFT results.Comment: 12 pages, 3 figure

Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity

Brain-inspired computation can revolutionize information technology by introducing machines capable of recognizing patterns (images, speech, video) and interacting with the external world in a cognitive, humanlike way. Achieving this goal requires first to gain a detailed understanding of the brain operation, and second to identify a scalable microelectronic technology capable of reproducing some of the inherent functions of the human brain, such as the high synaptic connectivity (~104) and the peculiar time-dependent synaptic plasticity. Here we demonstrate unsupervised learning and tracking in a spiking neural network with memristive synapses, where synaptic weights are updated via brain-inspired spike timing dependent plasticity (STDP). The synaptic conductance is updated by the local time-dependent superposition of pre-and post-synaptic spikes within a hybrid one-transistor/one-resistor (1T1R) memristive synapse. Only 2 synaptic states, namely the low resistance state (LRS) and the high resistance state (HRS), are sufficient to learn and recognize patterns. Unsupervised learning of a static pattern and tracking of a dynamic pattern of up to 4 Ã\u97 4 pixels are demonstrated, paving the way for intelligent hardware technology with up-scaled memristive neural networks

Can weed management in vegetable systems be improved by cover crop species mixtures? Step 2: field implementation

Cover crops are a fundamental tool for weed control, especially in organic and low input farming. Species with different functional traits can be combined in mixtures to enhance weed suppression. Our aim was to test the relative importance of functional diversity and functional composition (i.e. complementarity) in improving and stabilising the agroecosystem services expected from cover crops. Following a preliminary screening on cover crop functional traits (Step 1), we identified 8 species belonging to 4 functional groups: large seeded legumes, characterized by higher height (Pisum sativum L., Vicia sativa L.), small seeded legumes, able to cover quickly the soil (Trifolium incarnatum L., T. squarrosum L.), highly competitive grasses (Hordeum vulgare L., Avena sativa L.) and allelopathic brassicas (Raphanus sativus L., Brassica nigra L.). We designed 4 two-species mixtures, 4 four-species mixtures and 1 eighth-species mixtures and set a gradient of diversity: (i) pure stands; (ii) co-presence of 2 functional groups; (iii) diversity within 2 co-occurring functional groups, (iv) co-presence of 4 functional groups, (v) diversity within 4 co-occurring functional groups. The trial was conducted in an organic field located in Pisa, Italy. Experimental plots were seeded on 27 October 2014 following a randomized complete block design with three replicates, and devitalized on 6 May 2015. Weed biomass was significantly lower in mixtures with the higher level of diversity compared to the unweeded control (from -87% up to -97%). Cover crop mixtures proved to e more productive than pure stands, since Land Equivalent Ratio was >1 in all but one mixture. For some species, biomass production was higher in high diversity mixtures compared to pure stands. Functional diversity in cover crops can play a key role on biomass productivity and weed suppression. Data will be analysed to clarify the role of functional composition on cover crops agroecosystem services provision

Risk Factors for Thyroid Cancer in Northern Italy

Franceschi S (Epidemiology Unit, Aviano Cancer Centre, Via Pedemontana Occ, 33081 Aviano (PN) Italy), Fassina A, Talamini R, Mazzolini A, Vianello S, Bidoli E, Serraino D and La Vecchia C. Risk factors for thyroid cancer in Northern Italy. International Journal of Epidemiology, 1989, 18: 578-584. We conducted a hospital based case-control study of 245 cases of thyroid cancer (62 males and 183 females) and 411 controls in three areas of Northern Italy, Subjects with thyroid cancer more often had a history of benign thyroid nodules (18 cases versus 0 controls, lower 95% confidence limit = 7.84), goitre (RR = 5.61, 95% confidence interval (CI): 2.13-14.77) and residence in endemic goitre areas (RR for residence longer than 20 years = 2.29, 95% CI: 1.23-4.29). Heavy (> 1000 rads) irradiation of the neck was reported only by seven cases (lower 95% confidence limit: 2.45). Among 31 food items considered, a few showed direct association, including starchy foods and various sources of animal fats or proteins, whereas frequent consumption of other foods, including major sources of dietary iodine (such as fish, green vegetables and fruit) gave significant protection. When analysis was restricted to various subgroups of patients (ie, different histological types, sexes and major groups of hospital controls), it yielded similar result

Risk Factors for Thyroid Cancer in Northern Italy

none8noneFranceschi S;Fassina A;Talamini R;Mazzolini A;Vianello S;Bidoli E;Serraino D;La Vecchia CFranceschi, S; Fassina, Ambrogio; Talamini, R; Mazzolini, A; Vianello, S; Bidoli, E; Serraino, D; La Vecchia, C

Analytical Modeling of Current Overshoot in Oxide-Based Resistive Switching Memory (RRAM)

Current overshoot due to parasitic capacitance during set transition represents a major concern for controlling the resistance and current consumption in resistive switching memory (RRAM) arrays. In this letter, the impact of current overshoot on the low-resistance state (LRS) is evaluated by means of experiments on one-transistor/one-resistor structures of HfO2 RRAM. We develop a physics-based analytical model, able to calculate the LRS resistance and the corresponding reset current by a closed-form formula. The model allows predicting the current overshoot impact for any value of compliance current, set voltage, and parasitic capacitance