THE MODELING INTERACTIVE EFFECTS OF SALINITY AND UREA-N FERTILIZER BASED ON THE LAWS OF LIEBIG - SPRENGEL AND MITSCHERLICH – BAULE

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HASSANI REZAEI L.; HOMAEE M.; PAZIRA E.

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Journal: PLANT AND ECOSYSTEM Year:2009 | Volume:5 | Issue:17 Page(s): 98-113

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Title

THE MODELING INTERACTIVE EFFECTS OF SALINITY AND UREA-N FERTILIZER BASED ON THE LAWS OF LIEBIG - SPRENGEL AND MITSCHERLICH – BAULE

Author(s)

HASSANI REZAEI L. | HOMAEE M. | PAZIRA E. | Issue Writer Certificate

Keywords

SALINITYQ2

NITROGEN FERTILIZERQ3

UREAQ2

LS MODELQ3

MB MODELQ3

Abstract

SALINITY and nutrient deficiencies are the most important issues that reduce crop productivity in arid and semi arid regions. The purpose of this study was to model interactive response of sorghum (Sorghum bicolor L. Moench) to different UREA fertilizer rates at different SALINITY levels. Consequently, a randomized complete block factorial experiment with two factors of irrigation SALINITY (7 treatments) and NITROGEN FERTILIZER (5 treatments) with three replications was conducted. After harvesting, the obtained yield was measured and the relative yield was calculated. Two linear and non-linear models that are based on Liebig- Sprengel and Mitscherlich- Baule formulations were derived such that can be used for combined SALINITY and nutrients deficiency stresses. The derived models were then verified to predict relative dry matter, using the designated statistics. For the derived linear model, when the slopes of SALINITY response function and nitrogen were at optimal levels, a reasonable fit was obtained with the experimental data. However, by increasing SALINITY and nitrogen deficiency, more accurate predictions obtained with the nonlinear derived model. The both models have the same P-value that in level more than 0.01 are significant. It can be concluded that both models can reasonably well predict the relative yield when plant imposed to simultaneous SALINITY and nutrient stress. However, the statistics indicated that the non-linear model provides higher in accuracy and efficiency compares to linear model. The statistics for the MB nonlinear model (ME=0.16), (RMSE=0.08) are less than that of the LS linear model and the statistics (R2 =0.93), (CD=0.75) and (EF=0.89) in this model are larger than the MB MODEL, indicating a better performance and accuracy for the LS MODEL

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APA: Copy

HASSANI REZAEI, L., HOMAEE, M., & PAZIRA, E.. (2009). THE MODELING INTERACTIVE EFFECTS OF SALINITY AND UREA-N FERTILIZER BASED ON THE LAWS OF LIEBIG - SPRENGEL AND MITSCHERLICH – BAULE. PLANT AND ECOSYSTEM, 5(17), 98-113. SID. https://sid.ir/paper/145503/en

Vancouver: Copy

HASSANI REZAEI L., HOMAEE M., PAZIRA E.. THE MODELING INTERACTIVE EFFECTS OF SALINITY AND UREA-N FERTILIZER BASED ON THE LAWS OF LIEBIG - SPRENGEL AND MITSCHERLICH – BAULE. PLANT AND ECOSYSTEM[Internet]. 2009;5(17):98-113. Available from: https://sid.ir/paper/145503/en

IEEE: Copy

L. HASSANI REZAEI, M. HOMAEE, and E. PAZIRA, “THE MODELING INTERACTIVE EFFECTS OF SALINITY AND UREA-N FERTILIZER BASED ON THE LAWS OF LIEBIG - SPRENGEL AND MITSCHERLICH – BAULE,” PLANT AND ECOSYSTEM, vol. 5, no. 17, pp. 98–113, 2009, [Online]. Available: https://sid.ir/paper/145503/en

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