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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Speed breeding is a powerful tool to accelerate crop research and breeding
|
|---|---|
| Published in |
Nature Plants, January 2018
|
| DOI | 10.1038/s41477-017-0083-8 |
| Pubmed ID | |
| Authors |
Amy Watson, Sreya Ghosh, Matthew J. Williams, William S. Cuddy, James Simmonds, María-Dolores Rey, M. Asyraf Md Hatta, Alison Hinchliffe, Andrew Steed, Daniel Reynolds, Nikolai M. Adamski, Andy Breakspear, Andrey Korolev, Tracey Rayner, Laura E. Dixon, Adnan Riaz, William Martin, Merrill Ryan, David Edwards, Jacqueline Batley, Harsh Raman, Jeremy Carter, Christian Rogers, Claire Domoney, Graham Moore, Wendy Harwood, Paul Nicholson, Mark J. Dieters, Ian H. DeLacy, Ji Zhou, Cristobal Uauy, Scott A. Boden, Robert F. Park, Brande B. H. Wulff, Lee T. Hickey |
| Abstract |
The growing human population and a changing environment have raised significant concern for global food security, with the current improvement rate of several important crops inadequate to meet future demand 1 . This slow improvement rate is attributed partly to the long generation times of crop plants. Here, we present a method called 'speed breeding', which greatly shortens generation time and accelerates breeding and research programmes. Speed breeding can be used to achieve up to 6 generations per year for spring wheat (Triticum aestivum), durum wheat (T. durum), barley (Hordeum vulgare), chickpea (Cicer arietinum) and pea (Pisum sativum), and 4 generations for canola (Brassica napus), instead of 2-3 under normal glasshouse conditions. We demonstrate that speed breeding in fully enclosed, controlled-environment growth chambers can accelerate plant development for research purposes, including phenotyping of adult plant traits, mutant studies and transformation. The use of supplemental lighting in a glasshouse environment allows rapid generation cycling through single seed descent (SSD) and potential for adaptation to larger-scale crop improvement programs. Cost saving through light-emitting diode (LED) supplemental lighting is also outlined. We envisage great potential for integrating speed breeding with other modern crop breeding technologies, including high-throughput genotyping, genome editing and genomic selection, accelerating the rate of crop improvement. |
X Demographics
The data shown below were collected from the profiles of 644 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 63 | 10% |
| United States | 63 | 10% |
| United Kingdom | 60 | 9% |
| India | 25 | 4% |
| Germany | 18 | 3% |
| Canada | 13 | 2% |
| Japan | 13 | 2% |
| France | 11 | 2% |
| Ireland | 9 | 1% |
| Other | 127 | 20% |
| Unknown | 242 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 413 | 64% |
| Scientists | 204 | 32% |
| Science communicators (journalists, bloggers, editors) | 14 | 2% |
| Practitioners (doctors, other healthcare professionals) | 10 | 2% |
| Unknown | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,349 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1349 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 274 | 20% |
| Student > Ph. D. Student | 265 | 20% |
| Student > Master | 142 | 11% |
| Student > Bachelor | 92 | 7% |
| Student > Doctoral Student | 67 | 5% |
| Other | 172 | 13% |
| Unknown | 337 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 726 | 54% |
| Biochemistry, Genetics and Molecular Biology | 126 | 9% |
| Environmental Science | 20 | 1% |
| Engineering | 17 | 1% |
| Earth and Planetary Sciences | 12 | <1% |
| Other | 71 | 5% |
| Unknown | 377 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 806. 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 03 July 2023.
All research outputs
#23,886
of 25,870,940 outputs
Outputs from Nature Plants
#11
of 2,089 outputs
Outputs of similar age
#460
of 453,241 outputs
Outputs of similar age from Nature Plants
#1
of 50 outputs
Altmetric has tracked 25,870,940 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,089 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 50.5. This one has done particularly well, scoring higher than 99% 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 453,241 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 99% of its contemporaries.
We're also able to compare this research output to 50 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 98% of its contemporaries.