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1. 2016 Billion-Ton Report: Advancing Domestic Resources for a Thriving Bioeconomy, Volume 1: Economic Availability of Feedstocks

Author

Craig C. Brandt, Maggie R. Davis, Brian Davison, Laurence M. Eaton, Rebecca Ann Efroymson, Michael R. Hilliard, Keith Kline, Matthew H. Langholtz, Aaron Myers, Shahabaddine Sokhansanj, Timothy J. Theiss, Anthony F. Turhollow, Jr, Erin Webb, Ian Bonner, Garold Gresham, J. Richard Hess, Patrick Lamers, Erin Searcy, Karen L. Abt, Marilyn A. Buford, Dennis P. Dykstra, Patrick D. Miles, Prakash Nepal, James H. Perdue, Kenneth E. Skog, David W. Archer, Harry S. Baumes, P. Daniel Cassidy, Kelly Novak, Rob Mitchell, Nicolas Andre, Burton C. English, Chad Hellwinckel, Lixia He Lambert, Jessica McCord, Timothy G. Rials, Robert C. Abt, Bryce J. Stokes, Art Wiselogel, Daniel Adams, Brandi Boykin, Jen Caul, Alaina Gallagher, Jared Largen, Megan Lucas, Borys Mar, Alicia Moulton, Kelsey Satalino, Garrett Shields, Vance Owens, Leonard R. Johnson, Chris Daly, Michael Halbleib, Jonathan Rogers, Ryan Davis, Anelia Milbrandt, Nathan Brown, Kristin C. Lewis, Andre Coleman, Corinne Drennan, Mark Wigmosta, Tim Volk, Susan Schoenung, and Wade Salverson

Subjects
Engineering, Volume (thermodynamics), Waste management, Natural resource economics, business.industry, Thriving, Ton, Raw material, business
Published
2016
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3. Two high-throughput techniques for determining wood properties as part of a molecular genetics analysis of hybrid poplar and loblolly pine

Author

Nicholas C. Wheeler, David B. Neale, Carolyn C. Elam, Gerald A. Tuskan, Keith S. Jech, Mitch Sewell, Art Wiselogel, Darrell C. West, Bob Megraw, Mark F. Davis, Robert J. Evans, Harvey D. Bradshaw, and Ron Dinus

Subjects
biology, Chemistry, Bioengineering, General Medicine, Raw material, Quantitative trait locus, biology.organism_classification, Applied Microbiology and Biotechnology, Biochemistry, chemistry.chemical_compound, Agronomy, Salicaceae, Botany, Lignin, Hemicellulose, Cellulose, Molecular Biology, Biotechnology, Specific gravity, Hybrid
Abstract

Two new high-through put techniques, computer tomography X-ray densitometry (CT scan) and pyrolysis molecular beam mass spectrometry (pyMBMS), coupled with quantitative trait loci (QTL) analysis, were tested as a means to overcome the time and cost associated with conventional characterization of biomass feedstock components. Applications of these two techniques were evaluated using hybrid poplar for the CT scan and loblolly pine for the pyMBMS. Segregating progeny from hybrid poplar varied in specific gravity, with individual mean estimates ranging from 0.21–0.41. Progeny from loblolly pine varied in lignin, α cellulose, and mannan contents, with individual mean estimates of lignin content ranging from 28.7–33.1%, α cellulose content from 28.8–43.5% and mannan content from 4.2–10.1%. QTL analysis of the loblolly pine data suggested that eleven QTLs were associated with individual feedstock characteristics and that two QTLs for several feedstock components were linked to the same position on the loblolly pine genetic map. Each QTL individually accounted for 7–13% of the total phenotypic variation in associated loblolly pine feedstock components.

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