Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy management
The optimum rate and application timing of Nitrogen (N) fertilizer are crucial in achieving a high yield in rice cultivation; however, conventional laboratory testing of plant nutrients is time-consuming and expensive. To develop a site-specific spatial variable rate application method to overcome t...
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Format: | Article |
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Elsevier
2017-12-01
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Series: | Information Processing in Agriculture |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214317316301196 |
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author | Asa Gholizadeh Mohammadmehdi Saberioon Luboš Borůvka Aimrun Wayayok Mohd Amin Mohd Soom |
author_facet | Asa Gholizadeh Mohammadmehdi Saberioon Luboš Borůvka Aimrun Wayayok Mohd Amin Mohd Soom |
author_sort | Asa Gholizadeh |
collection | DOAJ |
description | The optimum rate and application timing of Nitrogen (N) fertilizer are crucial in achieving a high yield in rice cultivation; however, conventional laboratory testing of plant nutrients is time-consuming and expensive. To develop a site-specific spatial variable rate application method to overcome the limitations of traditional techniques, especially in fields under a double-cropping system, this study focused on the relationship between Soil Plant Analysis Development (SPAD) chlorophyll meter readings and N content in leaves during different growth stages to introduce the most suitable stage for assessment of crop N and prediction of rice yield. The SPAD readings and leaf N content were measured on the uppermost fully expanded leaf at panicle formation and booting stages. Grain yield was also measured at the end of the season. The analysis of variance, variogram, and kriging were calculated to determine the variability of attributes and their relationship, and finally, variability maps were created. Significant linear relationships were observed between attributes, with the same trends in different sampling dates; however, accuracy of semivariance estimation reduces with the growth stage. Results of the study also implied that there was a better relationship between rice leaf N content (R2Â =Â 0.93), as well as yield (R2Â =Â 0.81), with SPAD readings at the panicle formation stage. Therefore, the SPAD-based evaluation of N status and prediction of rice yield is more reliable on this stage rather than at the booting stage. This study proved that the application of SPAD chlorophyll meter paves the way for real-time paddy N management and grain yield estimation. It can be reliably exploited in precision agriculture of paddy fields under double-cropping cultivation to understand and control spatial variations. Keywords: Spatial variability, Non-invasive measurement, Precision farming, Decision support |
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id | doaj.art-b8c8596d5eec4d3f92cb0d459cc66ee7 |
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issn | 2214-3173 |
language | English |
last_indexed | 2024-03-12T10:58:53Z |
publishDate | 2017-12-01 |
publisher | Elsevier |
record_format | Article |
series | Information Processing in Agriculture |
spelling | doaj.art-b8c8596d5eec4d3f92cb0d459cc66ee72023-09-02T06:02:29ZengElsevierInformation Processing in Agriculture2214-31732017-12-0144259268Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy managementAsa Gholizadeh0Mohammadmehdi Saberioon1LuboÅ¡ Borůvka2Aimrun Wayayok3Mohd Amin Mohd Soom4Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech RepublicLaboratory of Signal and Image Processing, Institute of Complex Systems, South Bohemia Research Centre of Aquaculture and Biodiversity of Hydrocenoses, Faculty of Fisheries and Protection of Waters, University of South Bohemia in Äeské BudÄjovice, Nové Hrady, Czech Republic; Corresponding author.Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech RepublicDepartment of Biological and Agricultural Engineering, Faculty of Engineering, University Putra Malaysia, Selangor, MalaysiaFaculty of Sustainable Agriculture, University Malaysia Sabah, Sandakan, MalaysiaThe optimum rate and application timing of Nitrogen (N) fertilizer are crucial in achieving a high yield in rice cultivation; however, conventional laboratory testing of plant nutrients is time-consuming and expensive. To develop a site-specific spatial variable rate application method to overcome the limitations of traditional techniques, especially in fields under a double-cropping system, this study focused on the relationship between Soil Plant Analysis Development (SPAD) chlorophyll meter readings and N content in leaves during different growth stages to introduce the most suitable stage for assessment of crop N and prediction of rice yield. The SPAD readings and leaf N content were measured on the uppermost fully expanded leaf at panicle formation and booting stages. Grain yield was also measured at the end of the season. The analysis of variance, variogram, and kriging were calculated to determine the variability of attributes and their relationship, and finally, variability maps were created. Significant linear relationships were observed between attributes, with the same trends in different sampling dates; however, accuracy of semivariance estimation reduces with the growth stage. Results of the study also implied that there was a better relationship between rice leaf N content (R2 = 0.93), as well as yield (R2 = 0.81), with SPAD readings at the panicle formation stage. Therefore, the SPAD-based evaluation of N status and prediction of rice yield is more reliable on this stage rather than at the booting stage. This study proved that the application of SPAD chlorophyll meter paves the way for real-time paddy N management and grain yield estimation. It can be reliably exploited in precision agriculture of paddy fields under double-cropping cultivation to understand and control spatial variations. Keywords: Spatial variability, Non-invasive measurement, Precision farming, Decision supporthttp://www.sciencedirect.com/science/article/pii/S2214317316301196 |
spellingShingle | Asa Gholizadeh Mohammadmehdi Saberioon Luboš Borůvka Aimrun Wayayok Mohd Amin Mohd Soom Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy management Information Processing in Agriculture |
title | Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy management |
title_full | Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy management |
title_fullStr | Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy management |
title_full_unstemmed | Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy management |
title_short | Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy management |
title_sort | leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site specific paddy management |
url | http://www.sciencedirect.com/science/article/pii/S2214317316301196 |
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