Evaluation of Nonlinear Growth Functions in the Description of Leaf Area Index

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.

Hajirad Iman; Ahmadaali Khaled; Liaghat Abdolmajid

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

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE Year:2024 | Volume:18 | Issue:1 Page(s): 173-184

Download Full-Text

Persian Verion

View:

Download:

Cites:

Information Journal Paper

Title

Evaluation of Nonlinear Growth Functions in the Description of Leaf Area Index

Author(s)

Hajirad Iman | Ahmadaali Khaled | Liaghat Abdolmajid | Issue Writer Certificate

Keywords

Crop Modeling

Logistic Model

Deficit irrigation

Silage maize

Full irrigation

Abstract

Leaf area index (LAI) is one of the most important parameters in plant growth studies, which has a direct relationship with the amount of light absorption, photosynthesis, plant physiological indicators, yield, etc. to be In this study, different growth functions such as Gompertz, Gaussian, polynomial and logistic were used to model silage maize leaf area index (as a dependent variable) based on growth degree days (as an independent variable). The studied treatments included pulse irrigation and continuous irrigation, each at three levels of MAD equal to 100, 80 and 60%, which were applied as a completely randomized block design. The results showed that based on R2, NRMSE and EF parameters, all four used models were highly accurate and precise in estimating the leaf area index during the growth period. Among the four investigated models, the logistic model showed the best result among different irrigation managements and levels. Also, this model had the highest efficiency among both continuous and pulse irrigation treatments, in MAD equal to 100%. The results of this study can be a basis for monitoring crop growth and evaluating different managements in the water, soil and plant chain, and finally a useful tool for management and planning to achieve food security.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans