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Article Dans Une Revue Agronomy for Sustainable Development Année : 2009

Integration of soil structure variations with time and space into models for crop management. A review

Résumé

Soil structure plays a major role in the design of new crop management systems. For instance, the transition from conventional to no-tillage changes soil structure, which, in turn, has implications on crop yield greenhouse gas emissions, and pesticide and nitrate leaching. Modelling soil structure at field scale faces two main issues: (1) the spatial variability and (2) the temporal variability. Here, we review how spatial variability of soil structure is taken into account in water transfer models at field scale. We discuss the effects of soil structure on hydraulic properties. We present options to model soil structure effects using pedotransfer functions or calculations based on pore network geometry. Then we review studies on water transfer. Here, we show the utility of one-dimensional (1-D) and 2-D models, and the range of soil profile partitions. In the second part, we study a mean to model the temporal variation of soil structure. We propose an indicator of soil structure dynamics based on the proportion of compacted clods in the tilled layer. This indicator was measured from the observation face of soil pits. We studied this indicator in a long-term field experiment involving various risks of compaction. The results showed that this indicator gave a more precise description of the time course changes in soil structure than the mean soil bulk density measured on the same experimental plots. Lastly, we discuss the principles of a model that predicts the evolution of this indicator under different soil tillage and climatic conditions. This model can be used to evaluate the effects of different crop management systems on soil structure and soil water transfer.
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hal-00886436 , version 1 (11-05-2020)

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Jean Roger-Estrade, Guy Richard, Anthony Dexter, Hubert Boizard, Stéphane S. de Tourdonnet, et al.. Integration of soil structure variations with time and space into models for crop management. A review. Agronomy for Sustainable Development, 2009, 29 (1), pp.135-142. ⟨10.1051/agro:2008052⟩. ⟨hal-00886436⟩
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