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Cited by 403

The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.

Interactions between nitrate and ammonium in their uptake, allocation, assimilation, and signaling in plants

Hachiya, Takushi, Sakakibara, Hitoshi·2016·Journal of Experimental Botany

Abstract

Nitrogen (N) availability is a major factor determining plant growth and productivity. Plants acquire inorganic N from the soil, mainly in the form of nitrate and ammonium. To date, researchers have focused on these N sources, and demonstrated that plants exhibit elaborate responses at both physiological and morphological levels. Mixtures of nitrate and ammonium are beneficial in terms of plant growth, as compared to nitrate or ammonium alone, and therefore synergistic responses to both N sources are predicted at different steps ranging from acquisition to assimilation. In this review, we summarize interactions between nitrate and ammonium with respect to uptake, allocation, assimilation, and signaling. Given that cultivated land often contains both nitrate and ammonium, a better understanding of the synergism between these N sources should help to identify targets with the potential to improve crop productivity.

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Metadata

Authors
Hachiya, T., & Sakakibara, H.
Venue
Journal of Experimental Botany
Published
2016-12-21
Volume
68
Issue
10
Pages
erw449
ISSN
  • 0022-0957 (ISSN-L)
  • 1460-2431
OpenAlex
W2563070939
Cited by
403
References
103
FWCI
14.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Interactions between nitrate and ammonium in their uptake, allocation, assimilation, and signaling in plants. https://app.cochat.ai/papers/10.1093/jxb/erw449
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Hachiya, T., & Sakakibara, H. (2016). Interactions between nitrate and ammonium in their uptake, allocation, assimilation, and signaling in plants. Journal of Experimental Botany. https://doi.org/10.1093/jxb/erw449

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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.