RESEARCH ARTICLE
Impact of Canavalia Cover Crop Management in Coffea arabica L. on Plant-Invertebrate Associations
Hermann A. Jürgen Pohlan1, *, Marc J.J. Janssens1, Bruno Giesemann Eversbusch2
Article Information
Identifiers and Pagination:
Year: 2008Volume: 2
First Page: 84
Last Page: 89
Publisher ID: TOASJ-2-84
DOI: 10.2174/1874331500802010084
Article History:
Received Date: 01/08/2008Revision Received Date: 11/09/2008
Acceptance Date: 08/10/2008
Electronic publication date: 28/10/2008
Collection year: 2008
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Coffee ecosystems in the Soconusco, Chiapas, Mexico, with Coffea arabica are characterized by different cropping intensities, high diversity of soil and climate conditions. The main objective of this long-term study was the analysis of comprehensive relations between soil cover and weed-insect association. Biomass and weed cover community composition were analyzed together with weed-insect associations in coffee plantations that varied according to living soil cover management, weed control measures and coffee harvest traditions. Canavalia reduced significantly the presence of weeds. The treatment Canavalia + mulching under coffee plants produced with 3810 kg ha-1 the significantly highest average coffee berry yield, peaking at 5457 kg ha-1 in 2003. Significant correlations exist between Canavalia + weed management, year and coffee yield. The effects of different soil cover management regimes on the comparative biodiversity structures of weed – insects were evaluated between November 2002 and November 2003. Treatments with C. ensiformis supported smaller numbers of coffee berry borer (CBB) throughout the year. These data might be useful for new strategies in ecological coffee production.