Non-destructive estimation of chlorophyll and nitrogen content in leaf of Rosa damascena (Mill)
IR@IHBT: CSIR-Institute of Himalayan Bioresource Technology, Palampur
View Archive Info| Field | Value | |
| Title |
Non-destructive estimation of chlorophyll and nitrogen content in
leaf of Rosa damascena (Mill)
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| Creator |
Pal, Probir Kumar
Singh, R D Prasad , Ramdeen |
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| Subject |
Ecology
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| Description |
Chlorophyll (Chl) and nitrogen (N) status of leaves provide valuable information about the physiological
condition of plants. The conventional methods for measuring Chl and N contents in leaves are destructive,
costly, time-consuming, and do not allow repetitive measurement of the same sample. The Damask Rose
(Rosa damascena Mill) is an important aromatic crop in the western Himalaya region in India. Generally,
flower yield and oil yield of the Damask rose are correlated with nitrogen, phosphorus, and potassium (NPK)
levels in the leaf at the bud development stage. The dynamics of N within the rose plant have not been
reported clearly. Thus, there is a pressing need for non-destructive techniques to estimate Chl and N content
in the leaf of the Damask rose. Our objective was to establish an appropriate mathematical relationship
between the Chl content index (CCI) value and the total Chl/N contents for non-destructive estimation of
total Chl and N in the leaf of the Damask rose. The regression models were developed with destructively
measured parameters (total Chl and N) as the dependent variable and a parameter derived from CCM-200 as
the independent variable (CCI). We found that polynomial regression models are suitable for non-destructive
estimation of total Chl, and the model predicted values were very close to traditionally measured values with
a root mean square prediction error (RMSEp) less than 0.20 mgg ˉ1 of Chl. In the case of N estimation, a
power regression model was appropriate with lowest Akaike’s information criteria (AIC) and root mean
square validated error (RMSEv) value. Significant correlations (P≤0.001) were observed between
traditionally measured values and our model predicted values in both cases.
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| Date |
2012
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://ihbt.csircentral.net/1273/1/59._Non%2Ddestructive.pdf
Pal, Probir Kumar and Singh, R D and Prasad , Ramdeen (2012) Non-destructive estimation of chlorophyll and nitrogen content in leaf of Rosa damascena (Mill). Journal of Soil Science and Plant Nutrition, 58. pp. 604-610. |
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| Relation |
http://ihbt.csircentral.net/1273/
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