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Joe Cornelius - ARPA-E - U.S. Department of Energy PDF

18 Pages·2014·2.99 MB·English
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Preview Joe Cornelius - ARPA-E - U.S. Department of Energy

Accelerating Bioenergy Crop Development Next Generation Phenotyping: Biology x Engineering x Computer Science ADVANCED PHENOTYPING SYSTEMS 1 Bioenergy Crops – Fueling the Future • The Opportunity: Unlocking Agricultural Genetic Potential • The Breakthrough: High Throughput Phenotyping Systems • Program Straw Model: We Can Do It Better 2 20th Century: The Green Revolution 1900 1950 1975 2000 2010: 1 Farmer Feeds 155 People < 2% of Workforce Biotechnology Agronomy Pest Control 1949: 1 Farmer Feeds 19 People Fertilizer 1900: 1 Farmer Breeding Feeds a Family 41% of Workforce Mechanization Employed on the Farm 22 M 6 M 5 M 2 M Work Animals Farms Tractors Farms 3 21st Century: Knowledge Farming 1900 1950 1990 2010 21st Century 50 years 40 years 20 years Mechanized Green Biotechnology Precision Knowledge Farming Revolution 2nd Green Agriculture Farming Revolution (Data – Rich) Agronomy Breeding Agronomic Traits Yield Integrated ‘omics Monitors Genomics Tractors & Tillage Hybrids Quality Traits Proteomics Fertilizer Crop Genetics GPS/GIS Metabolomics Protection Transcriptomics Molecular Auto Guidance Chemistry Phenomics Breeding Navigation Irrigation Markers Digital Ag Variable Rate Technology High Performance Computational Soil Sampling Analytics “A major challenge for crop production in the 21st Century Real Time Sensing Data is how to predict crop Collection Remote & Proximal performance as a function of Imaging Systems Autonomous genetic architecture.” Robotics and UAS ANALOG DIGITIZATION DATAFICATION 41 percent of 1.9 percent labor force worked of labor force worked in agriculture (1900) in agriculture (2000) 4 Agriculture and Forestry are Important Renewable Resources U.S. Total Primary Energy Consumption 2011 Renewable Energy by Source Quadrillion Btu 4 Natural Gas 3.5 Coal 26% 20% 3 2.5 97.3 Renewable 9.2 Quads Quads 9.5% 2 1.5 Nuclear 8% 1 0.5 Petroleum 36% 0 5 U.S. Energy Information Administration. Annual Energy Review 2011. September 27, 2012. U.S. has the capability to deliver billion-ton feedstock for bioenergy in addition to food and export Potential 6-12x Growth in Biomass from U.S. Agriculture (Corn, Soybean, Sorghum, Wheat, Other Grains, Cotton, Sugarcane, Miscanthus, Switchgrass, Popular, Willow, Pine, Eucalyptus, Other) 1400 Million Dry Tons Incremental Growth 1203 1200 2-4% High Yield Growth Scenario + 1100 1000 910 7.7 Quads 800 665 1-2% Baseline Yield Growth Scenario 600 490 503 + 562 3.9 400 Quads 293 244 High 200 162 103 103 103 Baseline 85 Current 0 Conversion: (U.S. DOE 2011) 2012 2017 2022 2030 •83.8 gal EtOH per dry ton •1 Quad = 12 B gal EtOH U.S. Department of Energy. 2011. U.S. Billion-Ton Update: Biomass Supply for a Bioenergy and Bioproducts Industry. ORNL. 6 However, we are off the pace, evidenced by declining rates of genetic gain and suboptimal investments in bioenergy crops 3 Percent h t 1961-90 1990-2007 w “Rates of o 2.47 r 2.5 improvement in G 2.34 d yield for many les e iYir 2 cropping systems ftn ou o are below the 1.16- sC e e 1.48 tam1.5 1.31%/y-1 rates Ro lacnI 1.14 required to meet u h 1.07 ng niH 1 projected demand A for crops.” e Hall et.al. g 0.54 a r 0.5 e v A 0.06 0.02 0 Corn Wheat Rice Soybean • FAOSTAT 2009 • Prognosis for genetic improvement of yield potential of major grain crops. A. J. Hall, R. A. Richards, Field Crops Research, 143 (2013) 18-33. 7 Our greatest opportunity to increase the supply of agricultural feedstock's is in closing the yield gap C4 Monocot Example: Sugarcane 500 472 t ha-1 yr-1 Theoretical Maximum Yield 450 - 82% 1 400 - y 1 350 - a h 300 YG t Biomass T d 219.0 t ha-1 yr-1 le 250 72.4 g m-2 d-1 i 212 t ha-1 yr-1 Current Yield Ceiling Y e 200 n - 60% a 148 t ha-1 yr-1 c 150 YG r P a Biomass - 43% g 98.0 t ha-1 yr-1 YG u F S 100 27.0 g m-2 d-1 Biomass 84 t ha-1 yr-1 69.0 t ha-1 yr-1 50 18.8 g m-2 d-1 Biomass 39.0 t ha-1 yr-1 10.7 g m-2 d-1 0 Theoretical Experimental Commercial Commercial Maximum Maximum Maximum Average 100% 45% 31% 18% of Theoretical of Theoretical of Theoretical USDA, ARS, US Pacific Basin Agricultural Research Center and Hawaii Agricultural Research Center 8 Our greatest opportunity to close the yield gap and develop better feedstock is advanced crop phenotyping Sequencing is No Longer a Bottleneck Achieved Automated Plant Imaging $6,000.00 DNA sequencing ($/Mb) $5,000.00 $4,000.00 $3,000.00 $2,000.00 $1,000.00 $0.00 DNA sequencing ($/Mb) Single Plant Green House Systems Field Phenotyping in its Infancy… not continuous, automated or fast 9 ARPA-E Program Aspirations Advanced Bioenergy Crop Phenotyping is the Catalyst Reduced Energy Imports Improved Energy Efficiency Reduced GHG Emissions Improve Genetic Gain and Decrease Use of Fuel, Decrease Greenhouse Gas and Grower Adoption Fertilizer, Water, Chemicals Increase Carbon Capture 200 – 400% Increase 25% Reduction 25% Reduction +4 to 8 Quads 2 Quads 1.7 Quads 10% GHG Current Ag Based Current Current Fertilizer accounts for more than half of indirect energy use on U.S. Farms in 2011. U.S. agriculture accounts for ~10% of total GHG emissions in 2012. 10 EPA: Sources of U.S. Greenhouse Gas Emissions 2012

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Metabolomics. Transcriptomics. Phenomics. Digital Ag . PHENOMICS. DATAFICATION. ARPA-E Advanced Kansas State Univ./Dept. of Plant Pathology. Bill.
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