Title |
Enhanced characteristics of genetically modified switchgrass (Panicum virgatum L.) for high biofuel production
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Published in |
Biotechnology for Biofuels and Bioproducts, May 2013
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DOI | 10.1186/1754-6834-6-71 |
Pubmed ID | |
Authors |
Hui Shen, Charleson R Poovaiah, Angela Ziebell, Timothy J Tschaplinski, Sivakumar Pattathil, Erica Gjersing, Nancy L Engle, Rui Katahira, Yunqiao Pu, Robert Sykes, Fang Chen, Arthur J Ragauskas, Jonathan R Mielenz, Michael G Hahn, Mark Davis, C Neal Stewart, Richard A Dixon |
Abstract |
Lignocellulosic biomass is one of the most promising renewable and clean energy resources to reduce greenhouse gas emissions and dependence on fossil fuels. However, the resistance to accessibility of sugars embedded in plant cell walls (so-called recalcitrance) is a major barrier to economically viable cellulosic ethanol production. A recent report from the US National Academy of Sciences indicated that, "absent technological breakthroughs", it was unlikely that the US would meet the congressionally mandated renewable fuel standard of 35 billion gallons of ethanol-equivalent biofuels plus 1 billion gallons of biodiesel by 2022. We here describe the properties of switchgrass (Panicum virgatum) biomass that has been genetically engineered to increase the cellulosic ethanol yield by more than 2-fold. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 5 | 3% |
Colombia | 1 | <1% |
Brazil | 1 | <1% |
Indonesia | 1 | <1% |
Belgium | 1 | <1% |
Mexico | 1 | <1% |
Unknown | 142 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 34 | 22% |
Student > Ph. D. Student | 30 | 20% |
Student > Bachelor | 22 | 14% |
Student > Master | 15 | 10% |
Student > Postgraduate | 9 | 6% |
Other | 24 | 16% |
Unknown | 18 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 69 | 45% |
Engineering | 13 | 9% |
Biochemistry, Genetics and Molecular Biology | 12 | 8% |
Chemistry | 8 | 5% |
Environmental Science | 6 | 4% |
Other | 19 | 13% |
Unknown | 25 | 16% |