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Cited by 332

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Salt Tolerance in Soybean

Open access
Phang, Tsui‐Hung, Shao, Guihua, Lam, Hon‐Ming·2008·Journal of Integrative Plant Biology

Abstract

Soybean is an important cash crop and its productivity is significantly hampered by salt stress. High salt imposes negative impacts on growth, nodulation, agronomy traits, seed quality and quantity, and thus reduces the yield of soybean. To cope with salt stress, soybean has developed several tolerance mechanisms, including: (i) maintenance of ion homeostasis; (ii) adjustment in response to osmotic stress; (iii) restoration of osmotic balance; and (iv) other metabolic and structural adaptations. The regulatory network for abiotic stress responses in higher plants has been studied extensively in model plants such as Arabidopsis thaliana. Some homologous components involved in salt stress responses have been identified in soybean. In this review, we tried to integrate the relevant works on soybean and proposes a working model to describe its salt stress responses at the molecular level.

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Crossref · 10.1111/j.1744-7909.2008.00760.x

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Metadata

Authors
Phang, T., Shao, G., & Lam, H.
Venue
Journal of Integrative Plant Biology
Publisher
Wiley
Published
2008-10
Volume
50
Issue
10
Pages
1196-1212
ISSN
  • 0577-7496 (ISSN-L)
  • 1672-9072
  • 1744-7909
OpenAlex
W2024720023
Cited by
332
References
89
FWCI
5.40
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Salt Tolerance in Soybean. https://app.cochat.ai/papers/10.1111/j.1744-7909.2008.00760.x
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Phang, T., Shao, G., & Lam, H. (2008). Salt Tolerance in Soybean. Journal of Integrative Plant Biology. https://doi.org/10.1111/j.1744-7909.2008.00760.x

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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.