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Information Journal Paper

Title

ASSESSMENT OF AQUA CROP MODEL UNDER SOYBEAN DEFICIT IRRIGATION MANAGEMENT CONDITIONS

Pages

  329-339

Abstract

AQUA CROP MODEL is a powerful tool and valuable for improvement of water management in the field and calculating water productivity. Simplicity, necessity for minimum input data and acceptable accuracy are the advantages of this model. In this research in order to evaluate and analyze the sensitivity of AQUA CROP MODEL, field data under SOYBEAN planting in Karaj area were used. This experiment was conducted in 2008 in form of randomized complete block design in three replications and four furrow irrigation treatments including: full irrigation (at 100 percent of the soil moisture deficit compensation), conventional deficit irrigation at 75 and 50 percent of the soil moisture deficit compensation and partial root drying at 50 percent of the soil moisture deficit compensation. The results showed that AQUA CROP MODEL can simulate CROP YIELD, CROP EVAPOTRANSPIRATION and SOYBEAN water use efficiency acceptably. The results of this research based on sensitivity coefficient rates (Sc) show that input data of the model don’t have any sensitivity to date of emergence, initial soil moisture and irrigation water depth in full irrigation treatment.

Cites

References

Cite

APA: Copy

BABAZADEH, H., & SARAI TABRIZI, M.. (2012). ASSESSMENT OF AQUA CROP MODEL UNDER SOYBEAN DEFICIT IRRIGATION MANAGEMENT CONDITIONS. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 26(2), 329-339. SID. https://sid.ir/paper/141347/en

Vancouver: Copy

BABAZADEH H., SARAI TABRIZI M.. ASSESSMENT OF AQUA CROP MODEL UNDER SOYBEAN DEFICIT IRRIGATION MANAGEMENT CONDITIONS. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2012;26(2):329-339. Available from: https://sid.ir/paper/141347/en

IEEE: Copy

H. BABAZADEH, and M. SARAI TABRIZI, “ASSESSMENT OF AQUA CROP MODEL UNDER SOYBEAN DEFICIT IRRIGATION MANAGEMENT CONDITIONS,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 26, no. 2, pp. 329–339, 2012, [Online]. Available: https://sid.ir/paper/141347/en

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