Literature DB >> 12741180

Agronomic approach: cropping systems and plant diseases.

Jean-Marc Meynard1, Thierry Doré, Philippe Lucas.   

Abstract

This paper deals with the effects of agronomic practices on parasite life cycles, and the design of integrated crop protection strategies. Cropping systems have a large effect on the size of the primary inoculum and its localisation, on the development and spread of epidemics, and on the coordination of the life cycle of cultivated plants and that of their parasites. They can disrupt ecological equilibria, either favouring or disfavouring the pathogens. By combining information concerning the effects of agricultural techniques on diseases and the physiological effects of diseases on growth and crop production, it is now possible to develop new crop management systems, in which the use of non-chemical methods for preventing diseases is a priority. However, the current knowledge need to be completed by studies on other scales, particularly of the effect of cropping systems on the genetics of disease populations integrating more completely the 'long-term' dimension of sustainable agriculture.

Mesh:

Year:  2003        PMID: 12741180     DOI: 10.1016/s1631-0691(03)00006-4

Source DB:  PubMed          Journal:  C R Biol        ISSN: 1631-0691            Impact factor:   1.583


  5 in total

1.  Injury Profile SIMulator, a qualitative aggregative modelling framework to predict crop injury profile as a function of cropping practices, and the abiotic and biotic environment. I. Conceptual bases.

Authors:  Jean-Noël Aubertot; Marie-Hélène Robin
Journal:  PLoS One       Date:  2013-09-03       Impact factor: 3.240

2.  Differential impact of landscape-scale strategies for crop cultivar deployment on disease dynamics, resistance durability and long-term evolutionary control.

Authors:  Julien Papaïx; Loup Rimbaud; Jeremy J Burdon; Jiasui Zhan; Peter H Thrall
Journal:  Evol Appl       Date:  2017-11-30       Impact factor: 5.183

3.  Dryland Cropping Systems, Weed Communities, and Disease Status Modulate the Effect of Climate Conditions on Wheat Soil Bacterial Communities.

Authors:  Suzanne L Ishaq; Tim Seipel; Carl Yeoman; Fabian D Menalled
Journal:  mSphere       Date:  2020-07-15       Impact factor: 4.389

4.  Injury profile SIMulator, a Qualitative aggregative modelling framework to predict injury profile as a function of cropping practices, and abiotic and biotic environment. II. Proof of concept: design of IPSIM-wheat-eyespot.

Authors:  Marie-Hélène Robin; Nathalie Colbach; Philippe Lucas; Françoise Montfort; Célia Cholez; Philippe Debaeke; Jean-Noël Aubertot
Journal:  PLoS One       Date:  2013-10-16       Impact factor: 3.240

5.  Root interactions in a maize/soybean intercropping system control soybean soil-borne disease, red crown rot.

Authors:  Xiang Gao; Man Wu; Ruineng Xu; Xiurong Wang; Ruqian Pan; Hye-Ji Kim; Hong Liao
Journal:  PLoS One       Date:  2014-05-08       Impact factor: 3.240

  5 in total

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