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Image-based phenotyping for non-destructive screening of different salinity tolerance traits in rice

Overview of attention for article published in Rice, August 2014
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

4 X users
1 Facebook page
1 Google+ user


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232 Mendeley
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Image-based phenotyping for non-destructive screening of different salinity tolerance traits in rice
Published in
Rice, August 2014
DOI 10.1186/s12284-014-0016-3
Pubmed ID

Aris Hairmansis, Bettina Berger, Mark Tester, Stuart John Roy


Soil salinity is an abiotic stress wide spread in rice producing areas, limiting both plant growth and yield. The development of salt-tolerant rice requires efficient and high-throughput screening techniques to identify promising lines for salt affected areas. Advances made in image-based phenotyping techniques provide an opportunity to use non-destructive imaging to screen for salinity tolerance traits in a wide range of germplasm in a reliable, quantitative and efficient way. However, the application of image-based phenotyping in the development of salt-tolerant rice remains limited. A non-destructive image-based phenotyping protocol to assess salinity tolerance traits of two rice cultivars (IR64 and Fatmawati) has been established in this study. The response of rice to different levels of salt stress was quantified over time based on total shoot area and senescent shoot area, calculated from visible red-green-blue (RGB) and fluorescence images. The response of rice to salt stress (50, 75 and 100 mM NaCl) could be clearly distinguished from the control as indicated by the reduced increase of shoot area. The salt concentrations used had only a small effect on the growth of rice during the initial phase of stress, the shoot Na(+) accumulation independent phase termed the 'osmotic stress' phase. However, after 20 d of treatment, the shoot area of salt stressed plants was reduced compared with non-stressed plants. This was accompanied by a significant increase in the concentration of Na(+) in the shoot. Variation in the senescent area of the cultivars IR64 and Fatmawati in response to a high concentration of Na(+) in the shoot indicates variation in tissue tolerance mechanisms between the cultivars. Image analysis has the potential to be used for high-throughput screening procedures in the development of salt-tolerant rice. The ability of image analysis to discriminate between the different aspects of salt stress (shoot ion-independent stress and shoot ion dependent stress) makes it a useful tool for genetic and physiological studies to elucidate processes that contribute to salinity tolerance in rice. The technique has the potential for identifying the genetic basis of these mechanisms and assisting in pyramiding different tolerance mechanisms into breeding lines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
France 2 <1%
Indonesia 1 <1%
Pakistan 1 <1%
Germany 1 <1%
India 1 <1%
Brazil 1 <1%
Japan 1 <1%
Belgium 1 <1%
Other 0 0%
Unknown 221 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 24%
Researcher 47 20%
Student > Master 32 14%
Student > Bachelor 12 5%
Professor > Associate Professor 11 5%
Other 26 11%
Unknown 49 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 138 59%
Biochemistry, Genetics and Molecular Biology 13 6%
Engineering 9 4%
Computer Science 6 3%
Environmental Science 3 1%
Other 8 3%
Unknown 55 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 December 2015.
All research outputs
of 22,760,687 outputs
Outputs from Rice
of 384 outputs
Outputs of similar age
of 231,195 outputs
Outputs of similar age from Rice
of 9 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 384 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 79% 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 231,195 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.