Indirect Estimations of Lentil Leaf and Plant N by SPAD Chlorophyll Meter
A Soil Plant Analysis Development (SPAD) chlorophyll meter can be used to screen for leaf nitrogen (N) concentration in breeding programs. Lentil (Lens culinaris L.) cultivars were grown under varied N regimes, SPAD chlorophyll meter readings (SCMR) were recorded from the cultivars leaves, and leaf...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | International Journal of Agronomy |
| Online Access: | http://dx.doi.org/10.1155/2015/748074 |
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| author | Hossein Zakeri Jeff Schoenau Albert Vandenberg Mohammadreza Tayfeh Aligodarz Rosalind A. Bueckert |
| author_facet | Hossein Zakeri Jeff Schoenau Albert Vandenberg Mohammadreza Tayfeh Aligodarz Rosalind A. Bueckert |
| author_sort | Hossein Zakeri |
| collection | DOAJ |
| description | A Soil Plant Analysis Development (SPAD) chlorophyll meter can be used to screen for leaf nitrogen (N) concentration in breeding programs. Lentil (Lens culinaris L.) cultivars were grown under varied N regimes, SPAD chlorophyll meter readings (SCMR) were recorded from the cultivars leaves, and leaf N concentration was measured by combustion. Linear regression and the nonlinear Radial Basis Functions (RBF) neural networks models were employed to estimate leaf N concentration (LNC) based on the SCMR values. The closest estimates of LNC were obtained from the multivariate models in which the combination of plant age, leaf thickness, and SCMR was employed as the independent variable. In comparison, SCMR as the single independent variable in both models estimated less than 50% of LNC variations. The results showed significant effects of soil moisture and plant age on the association of LNC –SCMR as well as the relationship of LNC with plant N, grain yield, and days to maturity. However, the effect of cultivar on the measured variables was negligible. Although lentil N can be diagnosed by comparing SCMR values of the crop with those from a well-fertilized (N fixing) plot, the results did not support using SPAD chlorophyll meter for screening lentil LNC. |
| format | Article |
| id | doaj-art-47d74a24a3c347d5804e38f3f9246761 |
| institution | OA Journals |
| issn | 1687-8159 1687-8167 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Agronomy |
| spelling | doaj-art-47d74a24a3c347d5804e38f3f92467612025-08-20T02:37:54ZengWileyInternational Journal of Agronomy1687-81591687-81672015-01-01201510.1155/2015/748074748074Indirect Estimations of Lentil Leaf and Plant N by SPAD Chlorophyll MeterHossein Zakeri0Jeff Schoenau1Albert Vandenberg2Mohammadreza Tayfeh Aligodarz3Rosalind A. Bueckert4Department of Soil and Plant Sciences, California State University, Chico, 400 W. 1st Street, Chico, CA 95925, USADepartment of Soil Science, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, CanadaDepartment of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, CanadaDepartment of Electrical Engineering, University of Saskatchewan, Saskatoon, SK, S7N 5A9, CanadaDepartment of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, CanadaA Soil Plant Analysis Development (SPAD) chlorophyll meter can be used to screen for leaf nitrogen (N) concentration in breeding programs. Lentil (Lens culinaris L.) cultivars were grown under varied N regimes, SPAD chlorophyll meter readings (SCMR) were recorded from the cultivars leaves, and leaf N concentration was measured by combustion. Linear regression and the nonlinear Radial Basis Functions (RBF) neural networks models were employed to estimate leaf N concentration (LNC) based on the SCMR values. The closest estimates of LNC were obtained from the multivariate models in which the combination of plant age, leaf thickness, and SCMR was employed as the independent variable. In comparison, SCMR as the single independent variable in both models estimated less than 50% of LNC variations. The results showed significant effects of soil moisture and plant age on the association of LNC –SCMR as well as the relationship of LNC with plant N, grain yield, and days to maturity. However, the effect of cultivar on the measured variables was negligible. Although lentil N can be diagnosed by comparing SCMR values of the crop with those from a well-fertilized (N fixing) plot, the results did not support using SPAD chlorophyll meter for screening lentil LNC.http://dx.doi.org/10.1155/2015/748074 |
| spellingShingle | Hossein Zakeri Jeff Schoenau Albert Vandenberg Mohammadreza Tayfeh Aligodarz Rosalind A. Bueckert Indirect Estimations of Lentil Leaf and Plant N by SPAD Chlorophyll Meter International Journal of Agronomy |
| title | Indirect Estimations of Lentil Leaf and Plant N by SPAD Chlorophyll Meter |
| title_full | Indirect Estimations of Lentil Leaf and Plant N by SPAD Chlorophyll Meter |
| title_fullStr | Indirect Estimations of Lentil Leaf and Plant N by SPAD Chlorophyll Meter |
| title_full_unstemmed | Indirect Estimations of Lentil Leaf and Plant N by SPAD Chlorophyll Meter |
| title_short | Indirect Estimations of Lentil Leaf and Plant N by SPAD Chlorophyll Meter |
| title_sort | indirect estimations of lentil leaf and plant n by spad chlorophyll meter |
| url | http://dx.doi.org/10.1155/2015/748074 |
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