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Pre-breeding for diversification of primary gene pool and genetic enhancement of grain legumes

Overview of attention for article published in Frontiers in Plant Science, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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1 blog
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6 X users
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5 Facebook pages

Citations

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138 Dimensions

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225 Mendeley
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Title
Pre-breeding for diversification of primary gene pool and genetic enhancement of grain legumes
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2013.00309
Pubmed ID
Authors

Shivali Sharma, H. D. Upadhyaya, R. K. Varshney, C. L. L. Gowda

Abstract

The narrow genetic base of cultivars coupled with low utilization of genetic resources are the major factors limiting grain legume production and productivity globally. Exploitation of new and diverse sources of variation is needed for the genetic enhancement of grain legumes. Wild relatives with enhanced levels of resistance/tolerance to multiple stresses provide important sources of genetic diversity for crop improvement. However, their exploitation for cultivar improvement is limited by cross-incompatibility barriers and linkage drags. Pre-breeding provides a unique opportunity, through the introgression of desirable genes from wild germplasm into genetic backgrounds readily used by the breeders with minimum linkage drag, to overcome this. Pre-breeding activities using promising landraces, wild relatives, and popular cultivars have been initiated at International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) to develop new gene pools in chickpea, pigeonpea, and groundnut with a high frequency of useful genes, wider adaptability, and a broad genetic base. The availability of molecular markers will greatly assist in reducing linkage drags and increasing the efficiency of introgression in pre-breeding programs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Colombia 1 <1%
France 1 <1%
United Kingdom 1 <1%
Austria 1 <1%
Greece 1 <1%
Spain 1 <1%
Unknown 217 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 51 23%
Student > Ph. D. Student 41 18%
Student > Master 30 13%
Student > Bachelor 15 7%
Student > Doctoral Student 11 5%
Other 25 11%
Unknown 52 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 137 61%
Biochemistry, Genetics and Molecular Biology 17 8%
Computer Science 3 1%
Environmental Science 3 1%
Arts and Humanities 2 <1%
Other 7 3%
Unknown 56 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 27 August 2019.
All research outputs
#2,611,257
of 22,716,996 outputs
Outputs from Frontiers in Plant Science
#1,198
of 19,961 outputs
Outputs of similar age
#27,663
of 280,757 outputs
Outputs of similar age from Frontiers in Plant Science
#26
of 517 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,961 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 93% 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 280,757 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.