Title |
Development and field performance of nitrogen use efficient rice lines for Africa
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Published in |
Plant Biotechnology Journal, January 2017
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DOI | 10.1111/pbi.12675 |
Pubmed ID | |
Authors |
Michael Gomez Selvaraj, Milton Orlando Valencia, Satoshi Ogawa, Yingzhi Lu, Liying Wu, Christopher Downs, Wayne Skinner, Zhongjin Lu, Jean C. Kridl, Manabu Ishitani, Jos van Boxtel |
Abstract |
Nitrogen (N) fertilizers are a major input cost in rice production and its excess application leads to major environmental pollution. Development of rice varieties with improved nitrogen use efficiency (NUE) is essential for sustainable agriculture. Here, we report the results of field evaluations of marker-free transgenic NERICA4 (New Rice for Africa 4) rice lines over-expressing barley alanine amino transferase (HvAlaAT) under the control of a rice stress-inducible promoter (pOsAnt1). Field evaluations over three growing seasons and two rice growing ecologies (lowland and upland) revealed that grain yield of pOsAnt1:HvAlaAT transgenic events was significantly higher than sibling nulls and wild type controls under different N application rates. Our field results clearly demonstrated that this genetic modification can significantly increase the dry biomass and grain yield compared to controls under limited N supply. Increased yield in transgenic events was correlated with increased tiller and panicle number in the field, and evidence of early establishment of a vigorous root system in hydroponic growth. Our results suggest that expression of the HvAlaAT gene can improve NUE in rice without causing undesirable growth phenotypes. The NUE technology described in this paper has the potential to significantly reduce the need for N fertilizer and simultaneously improve food security, augment farm economics and mitigate greenhouse gas emissions from the rice ecosystem. This article is protected by copyright. All rights reserved. |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 98 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 15 | 15% |
Researcher | 13 | 13% |
Student > Master | 9 | 9% |
Student > Bachelor | 9 | 9% |
Other | 5 | 5% |
Other | 10 | 10% |
Unknown | 37 | 38% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 31 | 32% |
Biochemistry, Genetics and Molecular Biology | 7 | 7% |
Environmental Science | 5 | 5% |
Social Sciences | 5 | 5% |
Psychology | 2 | 2% |
Other | 7 | 7% |
Unknown | 41 | 42% |