Estimation of Yield Response Factor for Each Growth Stage under Local Conditions Using AquaCrop-OS

Mathias Kuschel-otárola*, Niels Schütze, Eduardo Holzapfel, Alex Godoy-Faúndez, Oleksandr Mialyk, Diego Rivera

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)
68 Downloads (Pure)


We propose a methodology to estimate the yield response factor (i.e., the slope of the water-yield function) under local conditions for a given crop, weather, sowing date, and management at each growth stage using AquaCrop-OS. The methodology was applied to three crops (maize, sugar beet, and wheat) and four soil types (clay loam, loam, silty clay loam, and silty loam), considering three levels of bulk density: low, medium, and high. Yields are estimated for different weather and management scenarios using a problem-specific algorithm for optimal irrigation scheduling with limited water supply (GET-OPTIS). Our results show a good agreement between benchmarking (mathematical approach) and benchmark (estimated by AquaCrop-OS) using the Normalised Root Mean Square Error (NRMSE), allowing us to estimate reliable yield response factors (Ky) under local conditions and to dispose of the typical simple mathematical approach, which estimates the yield reduction as a result of water scarcity at each growth stage.
Original languageEnglish
Article number1080
Pages (from-to)1080
Issue number4
Publication statusPublished - 10 Apr 2020
Externally publishedYes


  • AquaCrop-OS
  • Crop yield function
  • Growth stages
  • Yield response factor


Dive into the research topics of 'Estimation of Yield Response Factor for Each Growth Stage under Local Conditions Using AquaCrop-OS'. Together they form a unique fingerprint.

Cite this