Assessing soil quality indices and their relationships with rice yield in paddy fields of central Guilan province

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.

HEMMATI S.; YAGHMAEIAN MAHABADI N.; FARHANGI M.B.; SABOURI A.

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

Journal Paper

Paper Information

Journal: Journal of Soil Management and Sustainable Production Year:2019 | Volume:9 | Issue:1 Page(s): 135-150

Download Full-Text

Persian Verion

View:

800

Download:

Cites:

Information Journal Paper

Title

Assessing soil quality indices and their relationships with rice yield in paddy fields of central Guilan province

Author(s)

HEMMATI S. | YAGHMAEIAN MAHABADI N. | FARHANGI M.B. | SABOURI A. | Issue Writer Certificate

Keywords

Integrated soil quality indexQ1

Minimum data setQ1

Principal component analysisQ1

Weighted additive soil quality indexQ1

Abstract

Background and Objectives: Assessing soil quality and balancing between crop production and quality of natural resources are essential issues in sustainable soil management for agricultural and natural resource protection. In agricultural fields for optimum management and maximum economic productivity, knowledge of the factors affecting the soil quality is necessary. Also, determining the appropriate method for soil quality evaluation is important for sustainable soil management and soil degradation prediction. This study was carried out with the aim of assessing soil quality of paddy fields, determining the Minimum data set for soil quality evaluation and investigating the effect of soil quality index using different methods on rice yield in Pirbazar region of Guilan province. Materials and Methods: Based on the mean annual rice yield, the selected paddy fields were divided into low (<4. 6 t ha-1) and high (≥ 4. 6 t ha-1) productivity. Sixty soil samples were collected from 0 to 30 cm depth. The rice products were harvested at a 1 m2 plot at each site. In this research, using the Principal component analysis (PCA) method, among 20 physical, chemical and biological soil indicators as total data set (TDS), 6 indicators were selected for the Minimum data set (MDS). Then, the soil quality of high and low productivity paddy fields was evaluated by simple additive integrated quality index (IQISA) and weighted additive integrated quality index (IQIWA) in two collections of soil properties include MDS and TDS. Results: To evaluate soil quality of paddy fields, an MDS was established with organic carbon, total nitrogen, available potassium, clay percentage and urease activity and these explained about 67% of the soil quality variability. The significant differences were found between the soil quality index of low and high productivity paddy fields when IQIWA and IQISA were developed based on MDS. So that, the mean IQISA-MDS and IQIWA-MDS of the high productivity paddy fields (0. 84 and 0. 89, respectively) were higher than low productivity paddy fields (respectively 0. 78 and 0. 80, respectively). Additionally, data indicated that IQISA-MDS and IQIWA-MDS were most strongly correlated with crop yield, the correlation coefficient ranged between 0. 44-0. 54. Conclusion: Significant differences between the soil quality indices based on MDS for low and high productivity paddy fields indicated that the MDS more efficiently shows the difference of soil quality between paddy fields with different productivity. The significant correlation between IQISA-MDS and IQIWA-MDS indices with rice yield indicated that an MDS with a limited number of indicators was carefully selected and effectively evaluated the status of soils as a rice production medium. Therefore, using an MDS can save time and money and assess the reliable soil quality indices of paddy fields in the study area.

Cites

No record.

References

No record.

Cite

APA: Copy

HEMMATI, S., YAGHMAEIAN MAHABADI, N., FARHANGI, M.B., & SABOURI, A.. (2019). Assessing soil quality indices and their relationships with rice yield in paddy fields of central Guilan province. ELECTRONIC JOURNAL OF SOIL MANAGEMENT AND SUSTAINABLE PRODUCTION, 9(1 ), 135-150. SID. https://sid.ir/paper/209766/en

Vancouver: Copy

HEMMATI S., YAGHMAEIAN MAHABADI N., FARHANGI M.B., SABOURI A.. Assessing soil quality indices and their relationships with rice yield in paddy fields of central Guilan province. ELECTRONIC JOURNAL OF SOIL MANAGEMENT AND SUSTAINABLE PRODUCTION[Internet]. 2019;9(1 ):135-150. Available from: https://sid.ir/paper/209766/en

IEEE: Copy

S. HEMMATI, N. YAGHMAEIAN MAHABADI, M.B. FARHANGI, and A. SABOURI, “Assessing soil quality indices and their relationships with rice yield in paddy fields of central Guilan province,” ELECTRONIC JOURNAL OF SOIL MANAGEMENT AND SUSTAINABLE PRODUCTION, vol. 9, no. 1 , pp. 135–150, 2019, [Online]. Available: https://sid.ir/paper/209766/en

Related Journal Papers