Yield averages and variability from three long-term agronomic experiments (LTAEs) have been used in a preference scheme for cropping system options by means of a dominance approach. Preference maps are obtained and include both parametric and stochastic dominance based on yield level and risk for wheat and maize crops grown in the Mediterranean area. Dominance method could add to classic ANOVA the direction of the effect of a treatment and a comparative approach. It allowed comparing technical options and practices on the basis of treatments explored in 3 still running LTAEs: rotation, tillage, mineral fertilisation level and organic amendment.
IntroductionIn the last decades, agricultural risks have been mainly related to environmental hazards that are linked to the use of fertilisers and pesticides. In this instance, risk has been expressed as the amount of polluted soils and ground-water concentration levels. Agricultural activity also induces risk in terms of hydrological land instability (landslides), soil conservation (erosion), and air pollution (e.g. spreading of slurries near urban areas). All of these risks deal with environmental and human health. But risk is an important issue also from an economic standpoint: farm income depends on crop yields, which can be highly variable over the years, mainly influenced by market, weather (Uzea et al., 2014), and cultural practices.A cropped land is an ecosystem that farmer maintains in a plagioclimax, controlling the effects of weather uncertainties and the other species competition. Recently climate is changing the rules of the game, adding fluctuations that farmers are not ready to cope with: longer drought spells, rainfalls of huge intensity and duration, temperature fluctuations are some relevant features of the changing climate. Mavi and Tupper (2004) identified in weed germination and survival of insect and pests the main processes that severe weather brings about on crop yields. Mugo (1999) claimed that intensification of extreme events will increase seedling sufferance to frost and water stress.Several options have been studied to reduce risk, including the choice of a proper variety and timing of cultural operations (e.g. sowing, fertilising, tillage; Sivakumar and Iotha, 2008). Farmers know that a full prevention is hardly attainable: an adverse event happening at a critical phenological stage can be sufficient to cancel out a year's yield.Net incomes from arable crop productions are decreasing and a common way to address risk is the adoption of insurance: a way to get around the problem that allows continuing following traditional cultural protocols. Nevertheless, farmers are eager to know which cropping system can better ensure the economic sustainability in a context of high weather fluctuation.To this scope, long-term data are required, and long-term agronomic experiments (LTAEs) can offer an unexploited resource of knowledge.Nowadays many LTAEs are available all over the world. The first ones were established in middle 19 th century and we...