Capacità di sviluppo di Diabrotica virgifera virgifera Leconte su ospiti alternativi al mais

Diabrotica virgifera virgifera LeConte (Coleoptera: Chrysomelidae) è una specie esotica invasiva di origine centro americana e introdotta in Europa agli inizi degli anni ’90, in Italia nel 1998. Considerata negli Stati Uniti la principale avversità del mais (Zea mais L.), è oggi presente in quasi tutti i Paesi europei dove è presente tale coltura. Poiché il mais risulta l’ospite prioritario di Diabrotica, attualmente il principale metodo di contenimento consiste nella rotazione con una coltura non ospite. L’obiettivo del lavoro è stato quello di indagare sulle piante ospiti alternative al mais nel nostro ambiente, accertando il ruolo che possono avere le infestanti o altre Poaceae coltivate nella biologia della Diabrotica. Tali essenze sono state scelte tra specie mai sottoposte a sperimentazione e tra quelli già oggetto di indagini, ma su cui si sono ottenuti esiti discordi o non soddisfacenti. Sono state allestite prove con infestazione artificiale in ambiente controllato e prove in campo per valutare la sopravvivenza larvale e il completamento del ciclo, nonché le prestazioni biologiche degli individui ottenuti. Le ricerche hanno permesso di osservare sopravvivenza di Diabrotica su numerose graminacee, in particolare cereali. Tale capacità è confermata dalla presenza di larve di diversa età e in alcuni casi di pupe sulle specie ospiti alternative, sia con infestazione artificiale che in campo. Tuttavia crescita e sviluppo su queste piante sono stati più lenti del mais e gli stadi giovanili trovati hanno mostrato caratteristiche morfometriche inferiori rispetto a quelli del mais. Adulti non sono mai stati raccolti in campo, mentre questo si è verificato in condizioni controllate. Le specie che meritano maggior attenzione sono i cereali Triticum spelta e Panicum miliaceum e l’infestante Sorghum halepense. Si potrebbe dunque ipotizzare che alcune specie vegetali possano fungere da ospite secondario quando non è presente il mais riducendo l’efficacia dell’avvicendamento.

Using national FADN database to describe Italian farms and arable fields. A comparison of sustainability level between organic versus conventional regimes.

The study defines a new farm classification and identifies the arable land management. These aspects and several indicators are taken into account to estimate the sustainability level of farms, for organic and conventional regimes. The data source is Italian Farm Account Data Network (RICA) for years 2007-2011, which samples structural and economical information. An environmental data has been added to the previous one to better describe the farm context. The new farm classification describes holding by general informations and farm structure. The general information are: adopted regime and farm location in terms of administrative region, slope and phyto-climatic zone. The farm structures describe the presence of main productive processes and land covers, which are recorded by FADN database. The farms, grouped by homogeneous farm structure or farm typology, are evaluated in terms of sustainability. The farm model MAD has been used to estimate a list of indicators. They describe especially environmental and economical areas of sustainability. Finally arable lands are taken into account to identify arable land managements and crop rotations. Each arable land has been classified by crop pattern. Then crop rotation management has been analysed by spatial and temporal approaches. The analysis reports a high variability inside regimes. The farm structure influences indicators level more than regimes, and it is not always possible to compare the two regimes. However some differences between organic and conventional agriculture have been found. Organic farm structures report different frequency and geographical location than conventional ones. Also different connections among arable lands and farm structures have been identified.

An efficient Jeans modelling of axisymmetric galaxies with multiple stellar components

Dynamical models of stellar systems represent a powerful tool to study their internal structure and dynamics, to interpret the observed morphological and kinematical fields, and also to support numerical simulations of their evolution. We present a method especially designed to build axisymmetric Jeans models of galaxies, assumed as stationary and collisionless stellar systems. The aim is the development of a rigorous and flexible modelling procedure of multicomponent galaxies, composed of different stellar and dark matter distributions, and a central supermassive black hole. The stellar components, in particular, are intended to represent different galaxy structures, such as discs, bulges, halos, and can then have different structural (density profile, flattening, mass, scale-length), dynamical (rotation, velocity dispersion anisotropy), and population (age, metallicity, initial mass function, mass-to-light ratio) properties. The theoretical framework supporting the modelling procedure is presented, with the introduction of a suitable nomenclature, and its numerical implementation is discussed, with particular reference to the numerical code JASMINE2, developed for this purpose. We propose an approach for efficiently scaling the contributions in mass, luminosity, and rotational support, of the different matter components, allowing for fast and flexible explorations of the model parameter space. We also offer different methods of the computation of the gravitational potentials associated of the density components, especially convenient for their easier numerical tractability. A few galaxy models are studied, showing internal, and projected, structural and dynamical properties of multicomponent galaxies, with a focus on axisymmetric early-type galaxies with complex kinematical morphologies. The application of galaxy models to the study of initial conditions for hydro-dynamical and $N$-body simulations of galaxy evolution is also addressed, allowing in particular to investigate the large number of interesting combinations of the parameters which determine the structure and dynamics of complex multicomponent stellar systems.