The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Perspective on Wheat Yield and Quality with Reduced Nitrogen Supply
Open accessAbstract
Wheat is an important cereal crop with a high demand for nitrogen (N) fertilizer to enable the grain protein accumulation that is necessary for baking and processing quality. Here, perspectives for the development of improved wheat genotypes with higher yield stability, better grain quality, and improved N use efficiency to lower environmental impacts are discussed. The development of improved wheat genotypes, for example, genotypes that lack storage proteins that do not contribute to baking quality (e.g., by genome editing), in combination with appropriate N fertilizer management to prevent N losses into the environment underpins a novel approach to improving N use efficiency. This approach may be particularly applicable to wheats grown for animal feed, which have lower quality and functionality requirements.
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Cites
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Increasing CO2 threatens human nutrition
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Cited by
Wheat powdery mildew resistance gene Pm13 encodes a mixed lineage kinase domain-like protein
Li, H., Men, W., Ma, C., Liu, Q., Dong, Z., Tian, X., Wang, C., Liu, C., Gill, H. S., Ma, P., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46814-7 · Cited by 67
Metadata
- Authors
- Zörb, C., Ludewig, U., & Hawkesford, M. J.
- Venue
- Trends in Plant Science
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 23
- Issue
- 11
- Pages
- 1029-1037
- ISSN
- 1360-1385 (ISSN-L)
- OpenAlex
- W2890657717
- Cited by
- 331
- References
- 40
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Zörb, C., Ludewig, U., & Hawkesford, M. J. (2018). Perspective on Wheat Yield and Quality with Reduced Nitrogen Supply. Trends in Plant Science. https://doi.org/10.1016/j.tplants.2018.08.012
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.