Improving rice zinc biofortification success rates through genetic and crop management approaches in a changing environment

Nakanalage, Niluka and Nicolas, Marc and Norton, Robert and Hirotsu, Naoki and Milham, Paul J. and Seneweera, Saman (2016) Improving rice zinc biofortification success rates through genetic and crop management approaches in a changing environment. Frontiers in Plant Science, 7 (Article 764). pp. 1-13.

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Abstract

Though rice is the predominant source of energy and micronutrients for more than half of the world population, it does not provide enough zinc (Zn) to match human nutritional requirements. Moreover, climate change, particularly rising atmospheric carbon dioxide concentration, reduces the grain Zn concentration. Therefore, rice biofortification has been recognized as a key target to increase the grain Zn concentration to address global Zn malnutrition. Major bottlenecks for Zn biofortification in rice are identified as low Zn uptake, transport and loading into the grain; however, environmental and genetic contributions to grain Zn accumulation in rice have not been fully explored. In this review, we critically analyze the key genetic, physiological and environmental factors that determine Zn uptake, transport and utilization in rice. We also explore the genetic diversity of rice germplasm to develop new genetic tools for Zn biofortification. Lastly, we discuss the strategic use of Zn fertilizer for developing biofortified rice.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version made available in accordance with Creative Commons Attribution License 4.0.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 26 Jul 2016 04:30
Last Modified: 18 Dec 2017 05:26
Uncontrolled Keywords: zinc biofortification; rice; physiology; genetics
Fields of Research : 07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070301 Agro-ecosystem Functionand Prediction
Socio-Economic Objective: D Environment > 96 Environment > 9605 Ecosystem Assessment and Management > 960501 Ecosystem Assessment and Management at Regional or Larger Scales
Identification Number or DOI: 10.3389/fpls.2016.00764
URI: http://eprints.usq.edu.au/id/eprint/29474

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