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 limite
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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. Also, irrigation levels were as (full irrigation, supplemental irrigation at flowering and supplemental irrigation at both flowering and podding). 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 yield reasonably well. The results of running the model under different irrigation and 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 all of irrigation levels and the optimal sowing dates, the highest and lowest yield was observed in Quchan and Taibad respectively.
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