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Genomic Tools in Cowpea Breeding Programs: Status and Perspectives

Overview of attention for article published in Frontiers in Plant Science, June 2016
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Title
Genomic Tools in Cowpea Breeding Programs: Status and Perspectives
Published in
Frontiers in Plant Science, June 2016
DOI 10.3389/fpls.2016.00757
Pubmed ID
Authors

Ousmane Boukar, Christian A. Fatokun, Bao-Lam Huynh, Philip A. Roberts, Timothy J. Close

Abstract

Cowpea is one of the most important grain legumes in sub-Saharan Africa (SSA). It provides strong support to the livelihood of small-scale farmers through its contributions to their nutritional security, income generation and soil fertility enhancement. Worldwide about 6.5 million metric tons of cowpea are produced annually on about 14.5 million hectares. The low productivity of cowpea is attributable to numerous abiotic and biotic constraints. The abiotic stress factors comprise drought, low soil fertility, and heat while biotic constraints include insects, diseases, parasitic weeds, and nematodes. Cowpea farmers also have limited access to quality seeds of improved varieties for planting. Some progress has been made through conventional breeding at international and national research institutions in the last three decades. Cowpea improvement could also benefit from modern breeding methods based on molecular genetic tools. A number of advances in cowpea genetic linkage maps, and quantitative trait loci associated with some desirable traits such as resistance to Striga, Macrophomina, Fusarium wilt, bacterial blight, root-knot nematodes, aphids, and foliar thrips have been reported. An improved consensus genetic linkage map has been developed and used to identify QTLs of additional traits. In order to take advantage of these developments single nucleotide polymorphism (SNP) genotyping is being streamlined to establish an efficient workflow supported by genotyping support service (GSS)-client interactions. About 1100 SNPs mapped on the cowpea genome were converted by LGC Genomics to KASP assays. Several cowpea breeding programs have been exploiting these resources to implement molecular breeding, especially for MARS and MABC, to accelerate cowpea variety improvement. The combination of conventional breeding and molecular breeding strategies, with workflow managed through the CGIAR breeding management system (BMS), promises an increase in the number of improved varieties available to farmers, thereby boosting cowpea production and productivity in SSA.

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X Demographics

The data shown below were collected from the profiles of 7 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 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Spain 1 <1%
Benin 1 <1%
Ghana 1 <1%
Unknown 259 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 16%
Student > Ph. D. Student 42 16%
Researcher 27 10%
Student > Bachelor 20 8%
Student > Doctoral Student 13 5%
Other 34 13%
Unknown 84 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 129 49%
Biochemistry, Genetics and Molecular Biology 17 6%
Engineering 4 2%
Economics, Econometrics and Finance 3 1%
Medicine and Dentistry 3 1%
Other 18 7%
Unknown 89 34%
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 27 November 2016.
All research outputs
#13,473,246
of 22,876,619 outputs
Outputs from Frontiers in Plant Science
#6,692
of 20,268 outputs
Outputs of similar age
#176,577
of 339,345 outputs
Outputs of similar age from Frontiers in Plant Science
#134
of 523 outputs
Altmetric has tracked 22,876,619 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 20,268 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 339,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 523 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 72% of its contemporaries.