Relationship between rice yield and apparent electrical conductivity of paddy soils
Problem statement: Understanding the relationships between rice yield and soil properties such as bulk electrical conductivity is of critical importance in precision farming. The apparent Electrical Conductivity of soil (ECa) is influenced by a combination of physico-chemical properties including so...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Science Publications
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/23505/1/ajassp.2010.63.70.pdf |
| _version_ | 1796970373131010048 |
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| author | Mohd Husin, Ezrin Mohd Soom, Mohd Amin Abdul Rahim, Anuar Wayayok, Aimrun |
| author_facet | Mohd Husin, Ezrin Mohd Soom, Mohd Amin Abdul Rahim, Anuar Wayayok, Aimrun |
| author_sort | Mohd Husin, Ezrin |
| collection | UPM |
| description | Problem statement: Understanding the relationships between rice yield and soil properties such as bulk electrical conductivity is of critical importance in precision farming. The apparent Electrical Conductivity of soil (ECa) is influenced by a combination of physico-chemical properties including soluble salts, clay content and mineralogy, soil water content, bulk density, organic matter and soil temperature. Accordingly, ECa is considered as the most reliable and frequently used tools in precision farming research for the spatio-temporal characterization of edaphic and anthropogenic properties that influence crop yield. Many researchers have found positive correlation of ECa to crop yield such as corn and soy bean but not rice paddies. This study discussed on the relationship between ECa and rice yield for best practice management on paddy field. Approach: The analyses had used two reliable methods in six selected paddy lots at Sawah Sempadan, Selangor, Malaysia. Stepwise Linear Regression (SLR) and Boundary Line Analysis (BLA) techniques were used. External factors such as weather conditions, disease outbreaks, labor shortage and other factors were not considered in the data analysis and interpretation. Results: The results indicate that deep ECa (ECad) is significantly related to rice yield with R2 = 0.1246 and R2 = 0.4156 from SLR and BLA analyses, respectively. Conclusion: Results of this study can benefit farmers and researchers to understand the influence of ECa to the crop productivity. |
| first_indexed | 2024-03-06T07:57:04Z |
| format | Article |
| id | upm.eprints-23505 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:57:04Z |
| publishDate | 2010 |
| publisher | Science Publications |
| record_format | dspace |
| spelling | upm.eprints-235052017-11-29T03:27:20Z http://psasir.upm.edu.my/id/eprint/23505/ Relationship between rice yield and apparent electrical conductivity of paddy soils Mohd Husin, Ezrin Mohd Soom, Mohd Amin Abdul Rahim, Anuar Wayayok, Aimrun Problem statement: Understanding the relationships between rice yield and soil properties such as bulk electrical conductivity is of critical importance in precision farming. The apparent Electrical Conductivity of soil (ECa) is influenced by a combination of physico-chemical properties including soluble salts, clay content and mineralogy, soil water content, bulk density, organic matter and soil temperature. Accordingly, ECa is considered as the most reliable and frequently used tools in precision farming research for the spatio-temporal characterization of edaphic and anthropogenic properties that influence crop yield. Many researchers have found positive correlation of ECa to crop yield such as corn and soy bean but not rice paddies. This study discussed on the relationship between ECa and rice yield for best practice management on paddy field. Approach: The analyses had used two reliable methods in six selected paddy lots at Sawah Sempadan, Selangor, Malaysia. Stepwise Linear Regression (SLR) and Boundary Line Analysis (BLA) techniques were used. External factors such as weather conditions, disease outbreaks, labor shortage and other factors were not considered in the data analysis and interpretation. Results: The results indicate that deep ECa (ECad) is significantly related to rice yield with R2 = 0.1246 and R2 = 0.4156 from SLR and BLA analyses, respectively. Conclusion: Results of this study can benefit farmers and researchers to understand the influence of ECa to the crop productivity. Science Publications 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23505/1/ajassp.2010.63.70.pdf Mohd Husin, Ezrin and Mohd Soom, Mohd Amin and Abdul Rahim, Anuar and Wayayok, Aimrun (2010) Relationship between rice yield and apparent electrical conductivity of paddy soils. American Journal of Applied Sciences, 7 (1). pp. 63-70. ISSN 1546-9239; ESSN: 1554-3641 http://www.thescipub.com/abstract/10.3844/ajassp.2010.63.70 10.3844/ajassp.2010.63.70 |
| spellingShingle | Mohd Husin, Ezrin Mohd Soom, Mohd Amin Abdul Rahim, Anuar Wayayok, Aimrun Relationship between rice yield and apparent electrical conductivity of paddy soils |
| title | Relationship between rice yield and apparent electrical conductivity of paddy soils |
| title_full | Relationship between rice yield and apparent electrical conductivity of paddy soils |
| title_fullStr | Relationship between rice yield and apparent electrical conductivity of paddy soils |
| title_full_unstemmed | Relationship between rice yield and apparent electrical conductivity of paddy soils |
| title_short | Relationship between rice yield and apparent electrical conductivity of paddy soils |
| title_sort | relationship between rice yield and apparent electrical conductivity of paddy soils |
| url | http://psasir.upm.edu.my/id/eprint/23505/1/ajassp.2010.63.70.pdf |
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