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Agronomy 2016, 6(4), 54; doi:10.3390/agronomy6040054

Improvement of Salinity Stress Tolerance in Rice: Challenges and Opportunities

1
Queensland University of Technology (QUT) Centre for Tropical Crops and Biocommodities, Brisbane, QLD 4001, Australia
2
Cuu Long Delta Rice Research Institute, Can Tho, Vietnam
3
Research Institute for Environment and Livelihoods, Charles Darwin University, Darwin 0909, Australia
*
Author to whom correspondence should be addressed.
Academic Editors: Matthew Gilliham and Peter Langridge
Received: 2 September 2016 / Revised: 3 October 2016 / Accepted: 25 October 2016 / Published: 31 October 2016
(This article belongs to the Special Issue Crop Salinity Tolerance)
View Full-Text   |   Download PDF [543 KB, uploaded 31 October 2016]   |  

Abstract

Rice (Oryza sativa L.) is an important staple crop that feeds more than one half of the world’s population and is the model system for monocotyledonous plants. However, rice is very sensitive to salinity and is the most salt sensitive cereal crop with a threshold of 3 dSm−1 for most cultivated varieties. Despite many attempts using different strategies to improve salinity tolerance in rice, the achievements so far are quite modest. This review aims to discuss challenges that hinder the improvement of salinity stress tolerance in rice as well as potential opportunities for enhancing salinity stress tolerance in this important crop. View Full-Text
Keywords: salinity; rice; salt tolerance; wild rice; genetic engineering; conventional breeding; MAS salinity; rice; salt tolerance; wild rice; genetic engineering; conventional breeding; MAS
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Hoang, T.M.L.; Tran, T.N.; Nguyen, T.K.T.; Williams, B.; Wurm, P.; Bellairs, S.; Mundree, S. Improvement of Salinity Stress Tolerance in Rice: Challenges and Opportunities. Agronomy 2016, 6, 54.

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