Analysis of potential yields and yield gaps of chickpea under different scenarios of sowing dates using modeling approach
Subject Areas : Journal of Plant Ecophysiology
seyedreza amiri deh ahmadi
1
(مجتمع آموزش عالی سراوان)
Keywords: Modeling, Actual yield, Rainfed, Supplemental Irrigation,
Abstract :
Yield gap analysis is useful method for prioritization agricultural researches and production to reduce yield constraints. To identify options for increasing chickpea yield, the SSM-chickpea model was parameterized and evaluated to analyze yield potentials, water limited yields and yield gaps for 12 regions representing major chickpea-growing areas of Razavi Khorasan province. For model parameterization, a field experiment was conducted in a randomized complete design with 4 replications in the research field of the Ferdowsi University of Mashhad (36. 15° N, 56. 28° E). The chickpea cultivar ILC482 was used in this experiment. Besides the above experiment, data obtained from a large number of field experiments involving varying seasons and management practices at diverse regions in Iran were also used for model evaluation. The evaluation of model indicated that the model predicted potential and water limited yield reasonably well. The results of running the model under different sowing dates scenarios (19 February, March 25 , 4 April and 21 April ) showed that optimum sowing date is 19 February in more counties, the highest and lowest potential yield obtained in Taibad and Mashhad with an average yield of 2736 and 2306 Kg ha-1 respectively. Furthermore, in the optimal sowing dates, the highest and lowest yield was observed in Quchan and Taibad respectively. The highest and lowest yield gap between the potential yield and irrigation levels were observed in Taibad and Mashhad respectively. Overally, the results indicated that 19 February sowing date reduced yield gap which is strategy in semi-arid areas with.