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Development and field performance of nitrogen use efficient rice lines for Africa

Overview of attention for article published in Plant Biotechnology Journal, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
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1 X user

Citations

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25 Dimensions

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98 Mendeley
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Title
Development and field performance of nitrogen use efficient rice lines for Africa
Published in
Plant Biotechnology Journal, January 2017
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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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
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 %
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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 February 2018.
All research outputs
#4,118,308
of 22,903,988 outputs
Outputs from Plant Biotechnology Journal
#637
of 2,033 outputs
Outputs of similar age
#83,959
of 418,570 outputs
Outputs of similar age from Plant Biotechnology Journal
#19
of 37 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 418,570 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.