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Drought yield index to select high yielding rice lines under different drought stress severities

Overview of attention for article published in Rice, October 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

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Citations

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112 Mendeley
Title
Drought yield index to select high yielding rice lines under different drought stress severities
Published in
Rice, October 2012
DOI 10.1186/1939-8433-5-31
Pubmed ID
Authors

Anitha Raman, Satish Verulkar, Nimai Mandal, Mukund Variar, V Shukla, J Dwivedi, B Singh, O Singh, Padmini Swain, Ashutosh Mall, S Robin, R Chandrababu, Abhinav Jain, Tilatoo Ram, Shailaja Hittalmani, Stephan Haefele, Hans-Peter Piepho, Arvind Kumar

Abstract

Drought is the most severe abiotic stress reducing rice yield in rainfed drought prone ecosystems. Variation in intensity and severity of drought from season to season and place to place requires cultivation of rice varieties with different level of drought tolerance in different areas. Multi environment evaluation of breeding lines helps breeder to identify appropriate genotypes for areas prone to similar level of drought stress. From a set of 129 advanced rice (Oryza sativa L.) breeding lines evaluated under rainfed drought-prone situations at three locations in eastern India from 2005 to 2007, a subset of 39 genotypes that were tested for two or more years was selected to develop a drought yield index (DYI) and mean yield index (MYI) based on yield under irrigated, moderate and severe reproductive-stage drought stress to help breeders select appropriate genotypes for different environments. ARB 8 and IR55419-04 recorded the highest drought yield index (DYI) and are identified as the best drought-tolerant lines. The proposed DYI provides a more effective assessment as it is calculated after accounting for a significant genotype x stress-level interaction across environments. For rainfed areas with variable frequency of drought occurrence, Mean yield index (MYI) along with deviation in performance of genotypes from currently cultivated popular varieties in all situations helps to select genotypes with a superior performance across irrigated, moderate and severe reproductive-stage drought situations. IR74371-70-1-1 and DGI 75 are the two genotypes identified to have shown a superior performance over IR64 and MTU1010 under all situations. For highly drought-prone areas, a combination of DYI with deviation in performance of genotypes under irrigated situations can enable breeders to select genotypes with no reduction in yield under favorable environments compared with currently cultivated varieties. For rainfed areas with variable frequency of drought stress, use of MYI together with deviation in performance of genotypes under different situations as compared to presently cultivated varieties will help breeders to select genotypes with superior performance under all situations.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 2%
Philippines 1 <1%
Benin 1 <1%
Germany 1 <1%
Unknown 107 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 26%
Researcher 19 17%
Student > Master 12 11%
Student > Bachelor 9 8%
Professor > Associate Professor 6 5%
Other 18 16%
Unknown 19 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 63%
Biochemistry, Genetics and Molecular Biology 5 4%
Computer Science 2 2%
Social Sciences 2 2%
Environmental Science 2 2%
Other 9 8%
Unknown 22 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 January 2015.
All research outputs
#2,297,481
of 4,753,340 outputs
Outputs from Rice
#27
of 68 outputs
Outputs of similar age
#35,993
of 82,547 outputs
Outputs of similar age from Rice
#1
of 1 outputs
Altmetric has tracked 4,753,340 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 68 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 57% 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 82,547 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 53% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them