Agronomy Journal Grow Your Career With ASA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 3 April 2009
Published in Agron J 101:469-476 (2009)
DOI: 10.2134/agronj2008.0182s
© 2009 American Society of Agronomy
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Farahani, H. J.
Right arrow Articles by Oweis, T. Y.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Farahani, H. J.
Right arrow Articles by Oweis, T. Y.
Agricola
Right arrow Articles by Farahani, H. J.
Right arrow Articles by Oweis, T. Y.
Related Collections
Right arrow Water Management
Right arrow Water Use
Right arrow Evapotranspiration
Right arrow Cotton
Right arrow Irrigation

SYMPOSIUM PAPERS

Parameterization and Evaluation of the AquaCrop Model for Full and Deficit Irrigated Cotton

Hamid J. Farahania,*, Gabriella Izzib and Theib Y. Oweisc

a Dep. of Agricultural and Biological Engineering, Clemson Univ., Edisto Research & Education Center, 64 Research Road, Blackville, SC, USA, 29817
b Land and Water Division, FAO, United Nations, Rome, Italy
c Integrated Water and Land Management Program, International Center for Agricultural Research in the Dry Areas (ICARDA), Aleppo, Syria

* Corresponding author (hfaraha{at}clemson.edu).

Predicting yield is increasingly important to optimize irrigation under limited available water for enhanced sustainability and profitable production. Food and Agriculture Organization (FAO) of the United Nations addresses this need by providing a yield response to water simulation model (AquaCrop) with limited sophistication. In this study, AquaCrop was parameterized and tested for cotton (Gossypium hirsutum L.) under full (100%) and deficit (40, 60, and 80% of full) irrigation regimes in the hot, dry, and windy Mediterranean environment of northern Syria. Model parameterization used the 2006 data and was straightforward within the designed user-interface, owing to the limited number of key parameters. Accurate simulation of canopy cover was central to sound prediction of evapotranspiration and biomass accumulation. Key user-input parameters for this purpose were identified as the coefficients defining canopy development and the threshold soil water depletion levels for the water stress indices. The parameterized model was tested using data from the 2004 and 2005 seasons, resulting in accurate prediction of evapotranspiration (<13% error). The predicted yield values were within 10% of measurements, except in the 60 and 80% irrigation regimes in 2004, with errors up to 32%. The model closely predicted the trend in total soil water, but deviation existed for individual soil layers. This study provides first estimate values for cotton parameters useful for future model testing and use. Model parameterization is site-specific, and thus the applicability of key calibrated parameters must to be tested under different climate, soil, variety, irrigation methods, and field management.

Abbreviations: CC, canopy cover • DAS, days after sowing • E, soil evaporation • ETa, actual evapotranspiration • ETo, reference evapotranspiration • FC, field capacity • HI, harvest index • I, irrigation • LAI, leaf area index • p, soil water depletion threshold • PAR, photosynthetically active radiation • PWP, permanent wilting point • SWini, initial soil water • TAW, total available water • WP*, normalized crop water productivity • Zx, maximum rooting depth

All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher.

Received for publication May 23, 2008.


This article has been cited by other articles:


Home page
Agron. J.Home page
S. R. Evett and J. A. Tolk
Introduction: Can Water Use Efficiency Be Modeled Well Enough to Impact Crop Management?
Agron. J., April 3, 2009; 101(3): 423 - 425.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
P. Steduto, T. C. Hsiao, D. Raes, and E. Fereres
AquaCrop--The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles
Agron. J., April 3, 2009; 101(3): 426 - 437.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
D. Raes, P. Steduto, T. C. Hsiao, and E. Fereres
AquaCrop--The FAO Crop Model to Simulate Yield Response to Water: II. Main Algorithms and Software Description
Agron. J., April 3, 2009; 101(3): 438 - 447.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
T. C. Hsiao, L. Heng, P. Steduto, B. Rojas-Lara, D. Raes, and E. Fereres
AquaCrop--The FAO Crop Model to Simulate Yield Response to Water: III. Parameterization and Testing for Maize
Agron. J., April 3, 2009; 101(3): 448 - 459.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Crop Science Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2009 by the American Society of Agronomy.