Determination of Water-Salinity-Yield Production Function for Spinach Plant

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

DEHGHAN H.; MOKARI M.; ABEDINPOUR M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Water Research in Agriculture Year:2020 | Volume:34 | Issue:1 Page(s): 79-91

Download Full-Text

Persian Verion

View:

515

Download:

Cites:

Information Journal Paper

Title

Determination of Water-Salinity-Yield Production Function for Spinach Plant

Author(s)

DEHGHAN H. | MOKARI M. | ABEDINPOUR M. | Issue Writer Certificate

Keywords

Cobb-DouglasQ2

Quadratic modelQ2

Salinity StressQ1

Simple linear modelQ1

Transient modelQ1

Water StressQ1

Abstract

Due to the quantitative and qualitative decline of groundwater resources, it is essential to optimize the water use in agriculture. One of the methods to optimize water use in agriculture, especially in arid and semi-arid regions, is to use yieldwater-salinity functions. Therefore, this study was performed for prediction of spinach yield and yield components and determination of optimal production function under salinity and Water Stress conditions in Kashmar region, Iran. A factorial experiment was performed in a completely randomized block design with four replications including three salinity levels (i. e. S1= 0. 75, S2=4, S3= 8 dS/m) and three levels of irrigation (including full irrigation (100% of water requirement)) = I1, I2=75% I1, and I3= 50% I1). Yield and yield components data of spinach (including leaf area, plant height, stem height, root length, plant dry weight, and root dry weight) were fitted to different production functions including simple linear, Cobb-Douglas, quadratic, and Transient models. Optimal production function of spinach was determined after determining the coefficients of different functions. To evaluate different functions, the statistical indices of normalized mean square error, mean absolute error, modeling efficiency, agreement index and explanation coefficient were used. The results showed that the coefficient of determination (R2) for estimation of the biomass weight by quadratic, transcendental, simple linear, and Cobb-Douglas functions were 0. 938, 0. 890, 0. 888 and 0. 867, respectively. Most of the values of normalized mean square error and mean absolute error belonged to the simple linear functions and Cobb-Douglas. According to the results of this research, the quadratic production function is recommended as the optimal production function for yield and yield components of spinach.

Cites

No record.

References

No record.

Cite

APA: Copy

DEHGHAN, H., MOKARI, M., & ABEDINPOUR, M.. (2020). Determination of Water-Salinity-Yield Production Function for Spinach Plant. IRANIAN JOURNAL OF WATER RESEARCH IN AGRICULTURE (FORMERLY SOIL AND WATER SCIENCES), 34(1 ), 79-91. SID. https://sid.ir/paper/357136/en

Vancouver: Copy

DEHGHAN H., MOKARI M., ABEDINPOUR M.. Determination of Water-Salinity-Yield Production Function for Spinach Plant. IRANIAN JOURNAL OF WATER RESEARCH IN AGRICULTURE (FORMERLY SOIL AND WATER SCIENCES)[Internet]. 2020;34(1 ):79-91. Available from: https://sid.ir/paper/357136/en

IEEE: Copy

H. DEHGHAN, M. MOKARI, and M. ABEDINPOUR, “Determination of Water-Salinity-Yield Production Function for Spinach Plant,” IRANIAN JOURNAL OF WATER RESEARCH IN AGRICULTURE (FORMERLY SOIL AND WATER SCIENCES), vol. 34, no. 1 , pp. 79–91, 2020, [Online]. Available: https://sid.ir/paper/357136/en

Related Journal Papers