Stefan Otto

Ecological interpretation of weed flora dynamics under different tillage systems

In northern Italy, on soil managed with three different tillage systems (conventional tillage, ridge tillage, and no-tillage) and submitted to standard cultural practices (crop rotation, and chemical weed control), the weed vegetation was assessed at the beginning of the trial (1987) and after six, and eight years. The aims were to evaluate (1) the effect of tillage systems on the weeds; and (2) the possibility of linking the floristic changes under reduced disturbance to the theory of ecological succession. The weeds were categorised according to life-forms (biological groups), periodicity types (ecophysiological groups), dispersal types and seed longevity. Data were analysed using Sorensons Indices of Similarity, the Independence test, and Principal Components Analysis. The tillage systems profoundly altered the weed community: in undisturbed soils the importance of the geophyte and hemicryptophyte species, and among the annuals, Digitaria sanguinalis, Conyza canadensis and Kickxia elatine increased, as well as that of the wind-dispersed weeds. The species linked to disturbance were annuals and in particular Amaranthus spp., Chenopodium album and Echinochloa crus-galli. After eight years the floristic evolution in the reduced tillage system can be interpreted on the basis of ecological succession. The community that has formed assumes, from the quantitative point of view, characteristics of a pioneer community of secondary succession with a predominance of annual species and a large number of wind-dispersed plants. Qualitatively there is a movement towards a more mature community that could become similar to that of the woodland edge, with more perennial species, shrubs, and bird-dispersed plants. The implications of these conclusions are discussed in terms of weed management.

Pollen availability and abundance of predatory phytoseiid mites on natural and secondary hedgerows

Mites occurring on a number ofnatural and secondary (i.e., planted) hedgerowslocated in north-eastern Italy were monitoredwith particular attention being paid tophytoseiids (Acari: Phytoseiidae). Pollendiversity and abundance were analysed tohighlight potential relationships betweenpollen availability and phytoseiids. Secondaryhedgerows were structured in modules containinga single species (field maple, hornbeam,dogwood, hazel, and elderberry) andmodules containing a mixture of theabove-mentioned species. These hedgerows werelocated in an experimental farm where they werecontiguous to a vineyard. Natural hedgerowswere located in the same area. The pollen ofPoaceae was the most important component ofnon-arboreal pollen (NAP), and that ofelderberry of arboreal pollen (AP). Pollendiversity was higher on natural than onsecondary hedgerows. Generally, pollendensities reached relatively high levels fromlate April to late June and decreased insummer. Pollen was more abundant on naturalthan on secondary hedgerows and phytoseiidabundance showed a similar trend. On elderberryand hornbeam in natural hedgerows a potentialrelationship between pollen availability andthe abundance of phytoseiids, in particular ofEuseius finlandicus (Oudemans) was found.Experimental pollen applications increased thefecundity and the abundance of this species.

Grape downy mildew spread and mite seasonal abundance in vineyards: evidence for the predatory mites Amblyseius andersoni and Typhlodromus pyri

Abstract Mite populations, in particular those belonging to the Phytoseiidae family were monitored in a commercial vineyard comprising two varieties (Prosecco and Pinot gris). On Prosecco, densities of Amblyseius andersoni , and to a lesser extent of Typhlodromus pyri increased when downy mildew symptoms occurred on a high number of leaves. On Pinot, A. andersoni was the dominant species and its densities markedly increased when downy mildew spread. A. andersoni populations were significantly larger on leaves with downy mildew symptoms than on leaves without symptoms and their densities were positively correlated to the extent of leaf surface showing symptoms. The effect of downy mildew on T. pyri populations was less marked. There were no relationships between downy mildew spread and spider mite abundance ( Panonychus ulmi ). Untreated plots or plots treated with folpet to control downy mildew were monitored in an experimental vineyard colonized by A. andersoni . A. andersoni populations increased when downy mildew symptoms spread and their densities were significantly higher in the control than on folpet plots. In another experimental vineyard, T. pyri densities were significantly higher in the control (severely infected by downy mildew) than on copper hydroxide plots. Isoelectric focusing electrophoresis (IEF) was employed to detect downy mildew in mites and glucose phosphate isomerase (GPI) was selected from among different enzymes. A stain corresponding to downy mildew in addition to the phytoseiid intrinsic stains was detected in a high proportion of A. andersoni and T. pyri collected from infected leaves. Downy mildew stains were not detected in P. ulmi females collected from infected leaves. Most A. andersoni and T. pyri females confined on symptomatic leaves became positive to IEF a few hours later.

Effect of vegetative filter strips on herbicide runoff under various types of rainfall.

Narrow vegetative filter strips proved to effectively reduce herbicide runoff from cultivated fields mainly due to the ability of vegetation to delay surface runoff, promote infiltration and adsorb herbicides. A field trial was conducted from 2007 to 2009 in north-east Italy in order to evaluate the effectiveness of various types of vegetative filter strips to reduce spring-summer runoff of the herbicides mesotrione, metolachlor and terbuthylazine, widely used in maize, and to evaluate the effect of the rainfall characteristics on the runoff volume and concentration. Results show that without vegetative filter strip the herbicide load that reaches the surface water is about 5-6 g ha(-1)year(-1) for metolachlor and terbuthylazine (i.e. 0.5-0.9% of the applied rate), confirming that runoff from flat fields as in the Po Valley can have a minor effect on the water quality, and that most of the risk is posed by a few, or even just one extreme rainfall event with a return period of about 25-27 years, causing runoff with a maximum concentration of 64-77 μg L(-1). Mesotrione instead showed rapid soil disappearance and was observed at a concentration of 1.0-3.8 μg L(-1) only after one extreme (artificial) rainfall. Vegetative filter strips of any type are generally effective and can reduce herbicide runoff by 80-88%. Their effectiveness is steady even under severe rainfall conditions, and this supports their implementation in an environmental regulatory scheme at a catchment or regional scale.

Estimating ecotoxicological effects of pesticide drift on nontarget arthropods in field hedgerows.

When hedgerows grow in orchards where pesticides are applied, they can play a double role: Providing a barrier for chemical spray drift and as a refuge for beneficial arthropods such as pollinators and predators. Effectiveness of hedgerows as barriers to drift depends mainly on canopy density (that can be estimated through optical porosity) and wind speed. When optical porosity is low, the hedgerow can intercept a significant amount of spray drift and act as an effective barrier, but the intercepted pesticide can negatively affect the beneficial arthropods living there. A drift model was used to simulate drift in a hedgerow- vineyard system, and a deposition distribution model was used to calculate the pesticide spatial pattern distribution on a hedgerow with different optical porosity and wind speed conditions. The possible ecotoxicological effects were estimated for 28 active ingredients with different median lethal rates for two nontarget arthropods, Aphidius rhopalosiphi and Typhlodromus pyri. A spatialized risk assessment for a hedgerow is suggested to improve procedures based on application rate, standard drift, and vegetation distribution values, as in the hazard quotient approach. An alternative method for calculation of the exposure is also proposed, with a step-by-step example of a toxicity/exposure ratio calculation. The results highlighted the importance of the spatial pattern of drift and proved that a hedgerow can be an effective barrier against spray drift. Analysis of the toxicity/exposure ratio values showed that a hedgerow can continue its shelter and feeding function for nontarget arthropods when low-toxicity pesticides are used, there is no significant wind interference, or both.

Weed–Corn Competition Parameters in Late-Winter Sowing in Northern Italy

Abstract In recent years, interest has increased in late-winter sowing of corn in northern Italy because of many agronomic advantages. However, cold and rainy weather slows initial crop growth, which can favor weed infestation. There is, therefore, a need for appropriate timing of weed control tactics based on an understanding of the competitive relationship and dynamics between crop and weeds. Five experiments were conducted over 4 yr, with a series of treatments increasing either duration of interference or length of weed-free period. Yield data were fitted with sigmoidal equations to find the critical point (CP) and critical period of weed control (CPWC). Although the CP is determined only by the competition between weed and crop, the CPWC is also market dependent. To quantify the effect of weed flora on the CP, a multiple regression model was tested, taking into account weed density, inflection point, and slope parameter of the Gompertz model of the cumulated infestation. The results confirmed that the late-winter sowing date increases the importance of late winter– and early spring–emerging weeds. In general, the precompetitive period was longer in the late winter–sown corn than in traditional midspring-sown corn. The delayed start of the CPWC makes control more difficult with a preemergence herbicide, which raises questions on the utility of this agronomic technique. Multiple regression analysis showed that the position of CP can be estimated with the density, earliness, and competitiveness of the infestation. Furthermore, the slope/inflection point ratio of the Gompertz model appears to be independent of sowing date. Results suggest that the weed–crop competition mechanism can be represented with simply the weed flora dynamic parameters and that a combination of crop–weed competition studies and emergence prediction models can predict the position of CP and give useful information about the CPWC and weed management. Nomenclature: Corn, Zea mays L. cv. ‘PR33 J24’

Modeling Weed Emergence in Italian Maize Fields

Abstract A hydrothermal time model was developed to simulate field emergence for three weed species in maize (common lambsquarters, johnsongrass, and velvetleaf). Models predicting weed emergence facilitate well-timed and efficient POST weed control strategies (e.g., chemical and mechanical control methods). The model, called AlertInf, was created by monitoring seedling emergence from 2002 to 2008 in field experiments at three sites located in the Veneto region in northeastern Italy. Hydrothermal time was calculated using threshold parameters of temperature and water potential for germination estimated in previous laboratory studies with seeds of populations collected in Veneto. AlertInf was validated with datasets from independent field experiments conducted in Veneto and in Tuscany (west central Italy). Model validation resulted in both sites in efficiency index values ranging from 0.96 to 0.99. AlertInf, based on parameters estimated in a single region, was able to predict the timing of emergence in several sites located at the two extremes of the Italian maize growing area. Nomenclature: common lambsquarters, Chenopodium album L.,CHEAL; johnsongrass, Sorghum halepense L. Pers, SORHA; velvetleaf, Abutilon theophrasti Medik., ABUTH.

Herbicide dissipation and dynamics modelling in three different tillage systems

Abstract The half-lives (t 50 ) of the herbicides metolachlor, terbuthylazine and isoproturon and the occurrence of desethyl-terbuthylazine and monomethyl-isoproturon were measured in soils managed with three different tillage systems (conventional tillage, ridge tillage and no tillage). The first-order dissipation model was well adapted to the field data. Under the trial conditions, characterised by silty soil, scarce permeability, and reduced rainfall, the tillage system did not substantially influence the dynamics of the herbicides; the t 50 was reduced in no tillage only with metolachlor, the more volatile herbicide. The measured concentrations were then compared with those calculated with SoilFug, a fugacity-based mathematical model; the calculated values approximate the kinetics of both herbicides and metabolites with good precision.

A Single-Time Survey Method to Predict the Daily Weed Density for Weed Control Decision-Making

Decision-making processes must indicate if, how, and when weed control should be practiced. So far, Decision Support Systems (DSSs) for weed control to prevent crop yield losses can guide decisions on “if” and “how.” Experience shows that farmers need a DSS that can also guide when to treat, but this can only be done if the actual weed density observed in the field is known during the crop cycle. Emergence models allow the prediction of daily density, but precision depends on the survey date. This study focuses on the estimation of the date of the survey for the best prediction of the daily density throughout the crop cycle. The predicted daily density of each species can be used by DSSs without any further survey, saving time and money and improving the use of the DSSs. Results showed that the best date is when the actual density of each weed reaches or exceeds 50% emergence, and this is earlier than the critical point date, supporting the validity of the date estimation method. The possibility to provide specific advice for farmers considering a proper mortality rate of weed seedlings is then discussed. The ability to optimize the date of sampling can improve the reliability of decision-making tools for integrated weed management, in agreement with the European Union goal of sustainable use of pesticides and more environmentally sustainable cropping systems through the use of integrated pest management.

Evaluation of Weed Emergence Model AlertInf for Maize in Soybean

Abstract AlertInf is a recently developed model to predict the daily emergence of three important weed species in maize cropped in northern Italy (common lambsquarters, johnsongrass, and velvetleaf). Its use can improve the effectiveness and sustainability of weed control, and there has been growing interest from farmers and advisors. However, there are two important limits to its use: the low number of weed species included and its applicability only to maize. Consequently, the aim of this study was to expand the AlertInf weed list and extend its use to soybean. The first objective was to add another two important weed species for spring-summer crops in Italy, barnyardgrass and large crabgrass. Given that maize and soybean have different canopy architectures that can influence the interrow microclimate, the second objective was to compare weed emergence in maize and soybean sown on the same date. The third objective was to evaluate if AlertInf was transferable to soybean without recalibration, thus saving time and money. Results showed that predictions made by AlertInf for all five species simulated in soybean were satisfactory, as shown by the high efficiency index (EF) values, and acceptable from a practical point of view. The fact that the algorithm used for estimating weed emergence in maize was also efficient for soybean, at least for crops grown in northeastern Italy with standard cultural practices, encourages further development of AlertInf and the spread of its use. Nomenclature: Common lambsquarters, Chenopodium album L., CHEAL; barnyardgrass, Echinochloa crus-galli (L.) Beauv., ECHCG; johnsongrass, Sorghum halepense (L.) Pers, SORHA; large crabgrass, Digitaria sanguinalis (L.) Scop., DIGSA; velvetleaf, Abutilon theophrasti Medik., ABUTH; maize, Zea mays L.; soybean, Glycine max (L.) Merr.