EVALUATION OF MAIZE YIELD VARIABILITY BASED ON SOIL PROPERTIES AND PRINCIPAL COMPONENT ANALYSIS

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.

GHAEMI M.; ASTARAEI A.; NASSIRI MAHALATI M.; SANAEINEJAD S.H.; EMAMI H.

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

Journal Paper

Paper Information

Journal: Journal of Water and Soil Year:2014 | Volume:28 | Issue:2 Page(s): 276-285

Download Full-Text

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

Persian Verion

View:

1,122

Download:

Cites:

Information Journal Paper

Title

EVALUATION OF MAIZE YIELD VARIABILITY BASED ON SOIL PROPERTIES AND PRINCIPAL COMPONENT ANALYSIS

Author(s)

Keywords

FIELD SCALEQ2

MAIZE YIELDQ2

PRINCIPAL COMPONENT ANALYSISQ2

SOIL PROPERTIESQ2

Abstract

Successful implementation of soil and crop management program requires quantitative knowledge of site characteristics and interactions that affect crop yield. SOIL PROPERTIES are one of the most important site variables affecting within- field yield variability. The objective of this research was to identify intercorrelations among SOIL PROPERTIES (chemical, physical and biological) using PRINCIPAL COMPONENT ANALYSIS (PCA) and their relationships with MAIZE YIELD variability in field. Site variables (18) and MAIZE YIELD were measured in selected parts of Astan Quds agricultural fields in Mashhad city. The PRINCIPAL COMPONENT ANALYSIS was used to reduce the site variables numbers and remove multicollinearity among variables. The first four PCs with eigenvalues>1 accounted for>67% of variability in measured SOIL PROPERTIES. SOIL PROPERTIES were grouped in four PCs as: (PC1) Soil highly descriptive fertility potential, (PC2) Soil moderately descriptive fertility potential, (PC3) Soil permeability potential, (PC4) Soil aggregation potential. The results showed that the factor of soil highly descriptive fertility potential explained 43% of variance and accounted for 77% of the yield variability in the field. PRINCIPAL COMPONENT ANALYSIS allows explaining a major part of crop yield variability by removing the multicollinearity.

Cites

No record.

References

No record.

Cite

APA: Copy

GHAEMI, M., ASTARAEI, A., NASSIRI MAHALATI, M., SANAEINEJAD, S.H., & EMAMI, H.. (2014). EVALUATION OF MAIZE YIELD VARIABILITY BASED ON SOIL PROPERTIES AND PRINCIPAL COMPONENT ANALYSIS. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 28(2), 276-285. SID. https://sid.ir/paper/141625/en

Vancouver: Copy

GHAEMI M., ASTARAEI A., NASSIRI MAHALATI M., SANAEINEJAD S.H., EMAMI H.. EVALUATION OF MAIZE YIELD VARIABILITY BASED ON SOIL PROPERTIES AND PRINCIPAL COMPONENT ANALYSIS. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2014;28(2):276-285. Available from: https://sid.ir/paper/141625/en

IEEE: Copy

M. GHAEMI, A. ASTARAEI, M. NASSIRI MAHALATI, S.H. SANAEINEJAD, and H. EMAMI, “EVALUATION OF MAIZE YIELD VARIABILITY BASED ON SOIL PROPERTIES AND PRINCIPAL COMPONENT ANALYSIS,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 28, no. 2, pp. 276–285, 2014, [Online]. Available: https://sid.ir/paper/141625/en

Related Journal Papers