The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
SPAD-based leaf nitrogen estimation is impacted by environmental factors and crop leaf characteristics
Open accessAbstract
Chlorophyll meters are widely used to guide nitrogen (N) management by monitoring leaf N status in agricultural systems, but the effects of environmental factors and leaf characteristics on leaf N estimations are still unclear. In the present study, we estimated the relationships among SPAD readings, chlorophyll content and leaf N content per leaf area for seven species grown in multiple environments. There were similar relationships between SPAD readings and chlorophyll content per leaf area for the species groups, but the relationship between chlorophyll content and leaf N content per leaf area and the relationship between SPAD readings and leaf N content per leaf area varied widely among the species groups. A significant impact of light-dependent chloroplast movement on SPAD readings was observed under low leaf N supplementation in both rice and soybean but not under high N supplementation. Furthermore, the allocation of leaf N to chlorophyll was strongly influenced by short-term changes in growth light. We demonstrate that the relationship between SPAD readings and leaf N content per leaf area is profoundly affected by environmental factors and leaf features of crop species, which should be accounted for when using a chlorophyll meter to guide N management in agricultural systems.
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Cites
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Enhanced nitrogen deposition over China
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Producing more grain with lower environmental costs
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Self-citationEvans, J. R., & Poorter, H. (2001) · Plant, Cell & Environment · doi:10.1046/j.1365-3040.2001.00724.x · Cited by 1,229
Calibration of the Minolta SPAD-502 leaf chlorophyll meter
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Use of a SPAD-502 meter to measure leaf chlorophyll concentration in Arabidopsis thaliana
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Metadata
- Authors
- Xiong, D., Chen, J., Yu, T., Gao, W., Ling, X., Li, Y., Peng, S., & Huang, J.
- Venue
- Scientific Reports
- Published
- 2015-08-25
- Volume
- 5
- Issue
- 1
- Pages
- 13389-13389
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W1167042619
- Cited by
- 411
- References
- 33
- FWCI
- 13.71
- Type
- journal article
- Language
- en
- Open access
- gold
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- Xiong, D., Chen, J., Yu, T., Gao, W., Ling, X., Li, Y., Peng, S., & Huang, J. (2015). SPAD-based leaf nitrogen estimation is impacted by environmental factors and crop leaf characteristics. Scientific Reports. https://doi.org/10.1038/srep13389
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
