Paper Information

Journal:   DESERT (BIABAN)   2003 , Volume 8 , Number 2; Page(s) 264 To 275.
 
Paper: 

CERES - WHEAT MODEL EV ALVA TION AT TWO DIFFERENT CLIMATIC LOCATIONS IN KHORASAN PROVINCE I- YIELD PREDICATION

 
 
Author(s):  KIANI A., KOUCHAKI ALI REZA, BANAEIAN AVAL M., NASIRI MAHALATI MAHDI
 
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Abstract: 

Food security is equal to yield stability. Fifty percent observed yield variability of irrigated wheat in Khorasan province indicates that these are no reliable food security. Crop growth simulation model as a quantitative tool based on scientific principles that could evaluate different climatic effects, soil, water and management factors on crop production. CERES-Wheat model is a widespread model, which has been employed in many studies across the world.
To evaluate CERES-Wheat model in yield predication, two completely randomized Block Design experiments with four replications were conducted in two different climatic locations, using six cultivars released between 2001-2002 years. The experiments were carried out at Mashhad and Birjand agricultural research stations. Genotype coefficient and cultivars differences were determined using GENCALC software. To evaluated the yield, Root Mean Square Error (RMSE) was calculated and formed to be 44.44 and 62.7 Kg/ha for Mashhad and Birjand trails respectively this was less than 10% of observation mean as a model accuracy. Because of agricultural complexity, it was difficult to have access to input data, and unknown physiological properties, specially interaction under different condition and environments cause discrepancy in model simulations thus indicating that model validation and calibration is necessary before applying the model in any future application as a research tool.

 
Keyword(s): WHEAT, CERES-WHEAT, MODEL, LOCATION
 
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