Environmental effectiveness of GAEC cross-compliance Standard 3.1 ‘Ploughing in good soil moisture conditions’ and economic evaluation of the competitiveness gap for farmers
Within the MO.NA.CO. Project the environmental effectiveness of GAEC cross-compliance Standard 3.1 ‘Ploughing in good soil moisture conditions’ was evaluated, as well as the economic evaluation of the competitiveness gap for farmers which conform or do not conform to cross-compliance. The monitoring has been carried out at nine experimental farms with different pedoclimatic characteristics, where some indicators of soil structure degradation have been evaluated, such as bulk density, packing density and surface roughness of the seedbed, and the crop productive and qualitative parameters. In each monitoring farm two experimental plots have been set up: factual with soil tillage at proper water content (tilth), counterfactual with soil tillage at inadequate water content (no tilth). The monitoring did not exhibit univocal results for the different parameters, thus the effectiveness of the Standard 3.1 is ‘contrasting’ (class of merit B), and there was an evident practical problem to till the soil at optimum water content, even in controlled experimental condition. Bulk density was significantly lower in the factual treatment although in soils with very different textures (sandy-loam and clayey). Packing density (PD) showed a high susceptibility to compaction in soils with low PD and medium texture. The tortuosity index, indicating the roughness of the seedbed, was lower and generally significantly different in the factual treatment. Results showed that the ploughing done in excessive soil moisture conditions is more expensive due to the increased force of traction of the tractor, which causes an increase in slip of the tractor wheels, with a speed reduction and increase in the working times and fuel consumption. Moreover, the crop yield is also reduced considerably according to the cultivated species.
Article - Italian: 241
Article - English: 282
Technical Report: 285
APPENDIX to Tech Report: 2195
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) 2015 Rosa Francaviglia, Antonio Melchiorre Carroni, Paola Ruda, Mauro Salis, Paolo Bazzoffi, Silvia Carnevale, Andrea Rocchini, Antonio Troccoli, Mario Russo, Marisanna Speroni, Lamberto Borrelli, Giovanni Cabassi, Ulderico Neri, Rosario Napoli, Margherita Falcucci, Bruno Pennelli, Giampiero Simonetti, Melania Migliore, Chiara Piccini, Domenico Ventrella, Alessandro Vittorio Vonella, Luisa Giglio, Francesco Fornaro, Mirko Castellini, Francesca Modugno, Francesco Montemurro, Angelo Fiore, Mariangela Diacono, Lorenzo Furlan, Francesca Chiarini, Michele Colauzzi, Antonio Barbieri, Francesco Fagotto, Marco Fedrizzi, Roberto Fanigliulo, Mauro Pagano, Giulio Sperandio, Mirko Guerrieri, Daniele Puri
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.