Adding a diversity of legumes to a crop decision-support system: Maintaining satisfactory accuracy while keeping the model simple - Modèle STICS Access content directly
Journal Articles European Journal of Agronomy Year : 2023

Adding a diversity of legumes to a crop decision-support system: Maintaining satisfactory accuracy while keeping the model simple

Aurelien Dupont
  • Function : Author
  • PersonId : 1209432
Pascal Dubrulle
  • Function : Author
  • PersonId : 1205536
Raymond Reau
  • Function : Author
  • PersonId : 1147576
Maé Guinet
Marie-Hélène Jeuffroy
  • Function : Author
  • PersonId : 1137523
Pierre Maury
A. Schneider
  • Function : Author
Anne-Sophie Voisin

Abstract

In a context of economic and environmental concerns in agriculture, legumes appear to be suitable alternative crops to diversify current cropping systems and reduce their dependence on synthetic nitrogen (N) fertiliser and protein from imported soya bean. However, legume-based cropping systems may increase N losses through nitrate leaching if the N available from legumes does not coincide with subsequent crop requirements. To help agricultural advisers manage N in these systems, we adapted the decision-support system Syst’N®, designed to assess N losses in cropping systems, to simulate three annual and one perennial legume crops: pea, faba bean, soya bean and lucerne. To this end, we adapted and simplified existing submodels of legume functioning to include them in Syst’N, to keep the latter simple. We adapted the submodels “BNF” (i.e. biological N fixation) from the STICS model and “dormancy” from the CropSyst model. We also added the ability to enter the flowering date to improve predictions (improvement in N fixation’s rRMSE from 57% to 41% and EF from 0.57 to 0.77). The equations and associated parameter set developed for the four legume crops yielded satisfying predictions of crop biomass (rMBE = 9%, EF = 0.82, rRMSE = 39%) and N content (rMBE = 5%, EF = 0.76, rRMSE = 37%). These performances support the philosophy of Syst’N® that requires minimising the number of additional parameters for users when representing new crops or processes.

Domains

Agronomy
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Dates and versions

hal-04288580 , version 1 (26-01-2024)

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Cite

Marine Bedu, L. Lefèvre, Aurelien Dupont, Pascal Dubrulle, Raymond Reau, et al.. Adding a diversity of legumes to a crop decision-support system: Maintaining satisfactory accuracy while keeping the model simple. European Journal of Agronomy, 2023, 151, pp.art. 126999. ⟨10.1016/j.eja.2023.126999⟩. ⟨hal-04288580⟩
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