EconPapers    
Economics at your fingertips  
 

A participative network of organic and conventional crop farms in the Seine Basin (France) for evaluating nitrate leaching and yield performance

Marie Benoit, Josette Garnier, Nicolas Beaudoin and Gilles Billen

Agricultural Systems, 2016, vol. 148, issue C, 105-113

Abstract: In the Seine Basin, characterized by intensive arable crops, most surface and groundwater is contaminated by nitrate (NO3−). A collaborative study was set up, involving a network of volunteer farmers, to investigate NO3− leaching with ceramic cups (90cm deep) on whole crop rotations of organic (OF) and conventional (CF) commercial farms in the Seine Basin. A total of eight CF and six OF systems were studied (63 fields) in five different soil and climate conditions, taking into account a wide diversity of practices (including low or no exogenous N inputs, systematic catch-crop implementation, and no tillage) and use of different exogenous organic matter (EOM) such as biogas residue; slurry; poultry manure; and cow and horse manure.

Keywords: N leaching; Arable crops; Organic farming; Conventional systems; Ceramic cups (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0308521X16303341
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:148:y:2016:i:c:p:105-113

DOI: 10.1016/j.agsy.2016.07.005

Access Statistics for this article

Agricultural Systems is currently edited by J.W. Hansen, P.K. Thornton and P.B.M. Berentsen

More articles in Agricultural Systems from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:agisys:v:148:y:2016:i:c:p:105-113