NDLI: Use of CropSyst as a decision support system for scheduling regulated deficit irrigation in a pear orchard

Content Provider	Springer Nature Link
Author	Marsal, J. Stöckle, C. O.
Copyright Year	2011
Abstract	Prediction of plant water status is necessary for the judicious application of regulated deficit irrigation. CropSyst, a generic crop growth model that is applicable to fruit trees, was used to forecast plant water potential for irrigation management recommendations in a pear orchard. Plant water potential is predicted along with tree transpiration using Ohm’s law analogy. The parameters of the model were adjusted by using field measured data on a lysimeter-grown pear tree. After adjustment, and using the same lysimeter data, a satisfactory agreement was found between simulated and measured tree transpiration, light interception, and stem water potential. Model simulations were also performed for other independent field data. These corresponded to eight different conditions of a deficit-irrigated field experiment in a pear orchard. Each condition differed in soil texture, time of irrigation cut-off, crop load, and tree leaf area. Deficit irrigation was managed first by withholding irrigation until reaching a threshold in midday stem water potential of −1.5 MPa. Subsequently, irrigation was applied at fixed proportions of full irrigation requirements. Simulations with CropSyst were used as decision support system that could work independently of stem water potential measurements. Simulations in all eight sites were satisfactory at providing adequate time without irrigation during the first part of the deficit period. A highly significant relationship (r 2 = 0.71) between predicted and measured stem water potentials was found for a simulation period of 40 days. Simulations for longer periods (i.e. 74 days) decreased the r 2 to 0.61, and for this reason after resuming irrigation, slight deviations were found for the average stem water potential in two out of five sites. In conclusion, CropSyst produced relevant information for managing deficit irrigation in simulation periods shorter than 40 days.
Starting Page	139
Ending Page	147
Page Count	9
File Format	PDF
ISSN	03427188
Journal	Irrigation Science
Volume Number	30
Issue Number	2
e-ISSN	14321319
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-02-27
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Sustainable Development Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Environment Agriculture Climate Change
Content Type	Text
Resource Type	Article
Subject	Agronomy and Crop Science Soil Science Water Science and Technology

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