Effect of Abiotic Stresses on the Nondestructive Estimation of Rice Leaf Nitrogen Concentration
Decision support tools for non-destructive estimation of rice crop nitrogen (N) status (e.g., chlorophyll meter [SPAD] or leaf color chart [LCC]) are an established technology for improved N management in irrigated systems, but their value in rainfed environments with frequent abiotic stresses remai...
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doaj-69c04cc3986e4079ab617141ee13c2752020-11-24T22:29:38ZengHindawi LimitedInternational Journal of Agronomy1687-81591687-81672010-01-01201010.1155/2010/863605863605Effect of Abiotic Stresses on the Nondestructive Estimation of Rice Leaf Nitrogen ConcentrationStephan M. Haefele0Joel D. L. C. Siopongco1Serafin T. Amarante2To Phuc Tuong3Crop and Environmental Sciences Division, International Rice Research Institute (IRRI), Los Baños, Laguna, DAPO Box 7777, Metro Manila, PhilippinesDepartment of Rice Research, National Institute of Crop Science, 2-1-18, Kannondai, Tsukuba, Ibaraki, 305-8518, JapanCrop and Environmental Sciences Division, International Rice Research Institute (IRRI), Los Baños, Laguna, DAPO Box 7777, Metro Manila, PhilippinesCrop and Environmental Sciences Division, International Rice Research Institute (IRRI), Los Baños, Laguna, DAPO Box 7777, Metro Manila, PhilippinesDecision support tools for non-destructive estimation of rice crop nitrogen (N) status (e.g., chlorophyll meter [SPAD] or leaf color chart [LCC]) are an established technology for improved N management in irrigated systems, but their value in rainfed environments with frequent abiotic stresses remains untested. Therefore, we studied the effect of drought, salinity, phosphorus (P) deficiency, and sulfur (S) deficiency on leaf N estimates derived from SPAD and LCC measurements in a greenhouse experiment. Linear relations between chlorophyll concentration and leaf N concentration based on dry weight (Ndw) between SPAD values adjusted for leaf thickness and Ndw and between LCC scores adjusted for leaf thickness and Ndw could be confirmed for all treatments and varieties used. Leaf spectral reflectance measurements did not show a stress-dependent change in the reflectance pattern, indicating that no specific element of the photosynthetic complex was affected by the stresses and at the stress level applied. We concluded that SPAD and LCC are potentially useful tools for improved N management in moderately unfavorable rice environments. However, calibration for the most common rice varieties in the target region is recommended to increase the precision of the leaf N estimates.http://dx.doi.org/10.1155/2010/863605 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stephan M. Haefele Joel D. L. C. Siopongco Serafin T. Amarante To Phuc Tuong |
spellingShingle |
Stephan M. Haefele Joel D. L. C. Siopongco Serafin T. Amarante To Phuc Tuong Effect of Abiotic Stresses on the Nondestructive Estimation of Rice Leaf Nitrogen Concentration International Journal of Agronomy |
author_facet |
Stephan M. Haefele Joel D. L. C. Siopongco Serafin T. Amarante To Phuc Tuong |
author_sort |
Stephan M. Haefele |
title |
Effect of Abiotic Stresses on the Nondestructive Estimation of Rice Leaf Nitrogen Concentration |
title_short |
Effect of Abiotic Stresses on the Nondestructive Estimation of Rice Leaf Nitrogen Concentration |
title_full |
Effect of Abiotic Stresses on the Nondestructive Estimation of Rice Leaf Nitrogen Concentration |
title_fullStr |
Effect of Abiotic Stresses on the Nondestructive Estimation of Rice Leaf Nitrogen Concentration |
title_full_unstemmed |
Effect of Abiotic Stresses on the Nondestructive Estimation of Rice Leaf Nitrogen Concentration |
title_sort |
effect of abiotic stresses on the nondestructive estimation of rice leaf nitrogen concentration |
publisher |
Hindawi Limited |
series |
International Journal of Agronomy |
issn |
1687-8159 1687-8167 |
publishDate |
2010-01-01 |
description |
Decision support tools for non-destructive estimation of rice crop nitrogen (N) status (e.g., chlorophyll meter [SPAD] or leaf color chart [LCC]) are an established technology for improved N management in irrigated systems, but their value in rainfed environments with frequent abiotic stresses remains untested. Therefore, we studied the effect of drought, salinity, phosphorus (P) deficiency, and sulfur (S) deficiency on leaf N estimates derived from SPAD and LCC measurements in a greenhouse experiment. Linear relations between chlorophyll concentration and leaf N concentration based on dry weight (Ndw) between SPAD values adjusted for leaf thickness and Ndw and between LCC scores adjusted for leaf thickness and Ndw could be confirmed for all treatments and varieties used. Leaf spectral reflectance measurements did not show a stress-dependent change in the reflectance pattern, indicating that no specific element of the photosynthetic complex was affected by the stresses and at the stress level applied. We concluded that SPAD and LCC are potentially useful tools for improved N management in moderately unfavorable rice environments. However, calibration for the most common rice varieties in the target region is recommended to increase the precision of the leaf N estimates. |
url |
http://dx.doi.org/10.1155/2010/863605 |
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