Irrigation and Melioration


Monitoring of crop conditions is important part for the agricultural development system of the country. The production and prediction of wheat yield have direct impact on national and international economies, and play an important role in the food management in Uzbekistan. Today wheat yield production in Uzbekistan is receiving considerable attention from governmental organizations and farmers. The objective of this study is to investigate how we can best predict wheat yield during the vegetation period in Tashkent province. The approach used in this study is based on a crop growth model which is able to quantify the effect of weather conditions on crop growth. The model focuses on indicators from Crop Growth Monitoring System (CGMS) and Remote Sensing data to use year to year variation of wheat yield in Tashkent province. The results showed the positive correlation between the predicted yield and field data (R2 = 0.87) and indicators maximum NDVI and maximum DMP which are driven from remote sensing data are performing the best at regional level.

First Page


Last Page



1. Boogaard, H., Supit, I., K. van Diepen, C. Eerens, H., Piccard, I., Kempeneers, P., 2002. “Description of the MARC CROP YIELD FORECASTING SYSTEM (MCYFS)”. METAMP report1/3, Alterra and VITO, JRCcontract 19226-2002-02-F1FED ISP NL 2. Bouman, B.A.M., 1992. Linking physical remote sensing models with crop growth simulation models, applied for sugar beet. Int. J. Remote Sensing 13:2565-2581. 3. Montgomery, D.C., Peck, E.A. and Vining, G.G., 2001. Introduction to Linear Regression Analysis, third edition. Wiley, New York. Monteith, J.L., 1972. Solar radiation and productivity in tropical ecosystems. J. Applied Ecology, 19: 747-766 4. Haverkort AJ (1990) Ecology of potato cropping systems in relation to latitude and altitude. Agricultural Systems 32:251-272 5. Steduto P, Hsiao TC, Raes D, Fereres E (2009) AquaCrop—The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles 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. Agron J 101:426-437 6. Supit I, van Diepen CA, de Wit AJW, Wolf J, Kabat P, Baruth B, Ludwig F (2012) Assessing climate change effects on European crop yields using the Crop Growth Monitoring System and a weather generator. Agricultural and Forest Meteorology 164:96-111



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.