↓ Skip to main content

Genomic Tools in Groundnut Breeding Program: Status and Perspectives

Overview of attention for article published in Frontiers in Plant Science, March 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
153 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genomic Tools in Groundnut Breeding Program: Status and Perspectives
Published in
Frontiers in Plant Science, March 2016
DOI 10.3389/fpls.2016.00289
Pubmed ID
Authors

P. Janila, Murali T. Variath, Manish K. Pandey, Haile Desmae, Babu N. Motagi, Patrick Okori, Surendra S. Manohar, A. L. Rathnakumar, T. Radhakrishnan, Boshou Liao, Rajeev K. Varshney

Abstract

Groundnut, a nutrient-rich food legume, is cultivated world over. It is valued for its good quality cooking oil, energy and protein rich food, and nutrient-rich fodder. Globally, groundnut improvement programs have developed varieties to meet the preferences of farmers, traders, processors, and consumers. Enhanced yield, tolerance to biotic and abiotic stresses and quality parameters have been the target traits. Spurt in genetic information of groundnut was facilitated by development of molecular markers, genetic, and physical maps, generation of expressed sequence tags (EST), discovery of genes, and identification of quantitative trait loci (QTL) for some important biotic and abiotic stresses and quality traits. The first groundnut variety developed using marker assisted breeding (MAB) was registered in 2003. Since then, USA, China, Japan, and India have begun to use genomic tools in routine groundnut improvement programs. Introgression lines that combine foliar fungal disease resistance and early maturity were developed using MAB. Establishment of marker-trait associations (MTA) paved way to integrate genomic tools in groundnut breeding for accelerated genetic gain. Genomic Selection (GS) tools are employed to improve drought tolerance and pod yield, governed by several minor effect QTLs. Draft genome sequence and low cost genotyping tools such as genotyping by sequencing (GBS) are expected to accelerate use of genomic tools to enhance genetic gains for target traits in groundnut.

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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 20%
Student > Ph. D. Student 26 17%
Student > Master 23 15%
Student > Doctoral Student 8 5%
Student > Bachelor 6 4%
Other 22 14%
Unknown 37 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 60%
Biochemistry, Genetics and Molecular Biology 10 7%
Social Sciences 2 1%
Medicine and Dentistry 2 1%
Unspecified 1 <1%
Other 4 3%
Unknown 42 27%
Attention Score in Context

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 April 2016.
All research outputs
#13,462,624
of 22,856,968 outputs
Outputs from Frontiers in Plant Science
#6,681
of 20,210 outputs
Outputs of similar age
#158,266
of 326,713 outputs
Outputs of similar age from Frontiers in Plant Science
#147
of 516 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,210 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 64% 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 326,713 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 516 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.