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Development of a Worldwide Consortium on Evolutionary Participatory Breeding in Quinoa

Overview of attention for article published in Frontiers in Plant Science, May 2016
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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1 policy source
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3 X users
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1 Facebook page

Citations

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54 Dimensions

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96 Mendeley
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Title
Development of a Worldwide Consortium on Evolutionary Participatory Breeding in Quinoa
Published in
Frontiers in Plant Science, May 2016
DOI 10.3389/fpls.2016.00608
Pubmed ID
Authors

Kevin M. Murphy, Didier Bazile, Julianne Kellogg, Maryam Rahmanian

Abstract

Chenopodium quinoa is gaining global importance due to its excellent protein quality and tolerance of abiotic stresses. The last 60 years have seen major strides in the expansion of quinoa crop production and experimentation. Quinoa's wide genetic diversity has led to its agronomic versatility and adaptation to different soil types, particularly saline soils, and environments with extremely variable conditions in terms of humidity, altitude, and temperature. The potential of quinoa to contribute to global food security was recognized in 2013 in the declaration of the International Year of Quinoa (IYQ). Promoting the use of improved homogeneous quinoa varieties standardized to comply with applicable norms on seeds or suited to intensified conventional agriculture farming systems may not generate the necessary resilience needed to respond to current and future global challenges. Maintaining and increasing quinoa biodiversity is imperative, as the dynamics of the global expansion of quinoa may constitute a threat to farmers if the spread is generated with a narrow genetic base. In this article, we propose that the method of evolutionary participatory breeding could be a useful tool to develop new quinoa genetic material in cooperation with farmers. We introduce preliminary results on quinoa population development with farmers in the Pacific Northwest region of the USA. We conclude that a global collaborative network on quinoa (GCN-Quinoa) could be the baseline for participatory plant breeding programs originating in developing or developed countries to meet the needs of farmers across a diversity of agronomic systems and a wide range of physical environments.

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The data shown below were collected from the profiles of 3 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 18%
Student > Master 13 14%
Researcher 12 13%
Student > Doctoral Student 10 10%
Student > Bachelor 8 8%
Other 18 19%
Unknown 18 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 56%
Environmental Science 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Social Sciences 4 4%
Chemistry 2 2%
Other 6 6%
Unknown 21 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 June 2019.
All research outputs
#6,302,737
of 22,869,263 outputs
Outputs from Frontiers in Plant Science
#3,497
of 20,246 outputs
Outputs of similar age
#90,418
of 301,827 outputs
Outputs of similar age from Frontiers in Plant Science
#66
of 523 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 20,246 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 82% 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 301,827 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 69% of its contemporaries.
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 done well, scoring higher than 87% of its contemporaries.