Use of dominance analysis in selecting the best cropping technique based on long term agronomic experiments
AbstractYield 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.
PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.
Copyright (c) 2017 Giuliano Vitali, Loretta Triberti, Guido Baldoni
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.