Taking into account soils and climate change in assessing the production potential of a legume crop of interest: pea

Abstract

International audienceIn the current context of climate change and increasing pressure on resources, the agricultural production model isbeing questioned. The challenge of a more autonomous, efficient and sustainable production of proteins must bemet by increasing the use of legumes in French cropping systems. The pea (Pisum sativum L.) crop model “AzodynPea” will be used to identify zones and management techniques favorable to the crop in Burgundy-Franche-Comté(eastern France), taking into account abiotic stresses, such as winter frost or water deficit. The first step in this processis the mapping of current soil properties and current and future climate characteristics of the region. Regionalizeddaily climate data at 8 km resolution were obtained by simulation for the historical period 1980-2005 and for theprospective period 2006-2100, exploring two climate change trajectories: an optimistic (RCP 4.5) and a pessimisticone (RCP 8.5). The soil data were extracted from the Regional Soil Geographical DataBase and then processed tocreate a new semantic database in addition to the spatial data (Soil Map Unit polygons-SMU). The characteristics ofthe majority Soil Typological Units (STU) in each SMU have been kept. Variables such as soil depth, pH and organicmatter were directly read from the database while others such as the soil available water capacity (AWC) or the bulkdensity were deduced from the semantic data using pedotransfer functions. The second step of the process was themapping, in Burgundy-Franche-Comté, of historical (1980-2005) and prospective (2006-2100) flowering dates usingclimatic data for two pea varieties (one winter and one spring) and one sowing date per variety