logging in or signing up History Indirect Measures 2004 Durante Download Post to : URL : Related Presentations : Let's Connect Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Copy embed code: Embed: Flash iPad Dynamic Copy Does not support media & animations Automatically changes to Flash or non-Flash embed WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 44 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: January 20, 2008 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript SOIL 4213BIOEN 4213History of Using Indirect Measures for detecting Nutrient Status: SOIL 4213 BIOEN 4213 History of Using Indirect Measures for detecting Nutrient Status Oklahoma State UniversityField Element Size: Field Element Size Area which provides the most precise measure of the available nutrient where the level of that nutrient changes with distance Chlorophyll Meters? What is the connectionSlide3: FES should theoretically identify 1. The smallest resolution where cause and effect relationships can be identified 2. The precise resolution where variances between paired samples of the same size (area) become unrelated and where heterogeneity can be recognized 3. The resolution where misapplication could pose a risk to the environment 4. The treated resolution where net economic return is achieved. 5. The resolution where differences in yield potential may exist Slide4: Review Science: 283:310-316 By 2020 global demand for rice, wheat, and maize will increase 40% People have been predicting yield ceilings for millennia, and they’ve never been right “Matthew Reynolds” CIMMYT Supercharging Photosynthesis: Reproduce the C4 cycle in rice Role of Biotechnology in Precision AgricultureSlide5: Sunlight reaching earth Chlorophyll b B-Carotene Phycoerythrin Phycocyanin Chlorophyll a 300 400 500 600 700 800 Wavelength, nm Absorption SPAD 501, 502 (430, 750) Lehninger, Nelson and Cox Absorption of Visible Light by PhotopigmentsSlide6: VISIBLE Color Absorbed VISIBLE Color Transmitted Violet Blue Green Yellow Orange Red Short wavelength High frequency High energy Long wavelength Low frequency Low energy 0.01 10 380 450 495 570 590 620 750 1x106 1x1011 wavelength, nm Gamma Rays X-Rays Ultraviolet Infrared Microwaves and short radio Radio, FM, TV Electronic Vibrational Rotational transitions transitions transitions Yellow-green Yellow Violet Blue Green-blue Blue-greenSlide7: Short wavelength High energy Long wavelength Low energy 0.01 10 380 450 495 570 590 620 750 wavelength, nm X-Rays Ultraviolet Infrared Chlorophyll b B-Carotene Phycoerythrin Phycocyanin Chlorophyll a Near-Infrared AbsorptionMajor Amino and Methyl Analytical Bands and Peak Positions: Near-Infrared Absorption Major Amino and Methyl Analytical Bands and Peak PositionsSlide9: 380 450 495 570 590 620 750 wavelength, nm Chlorophyll b B-Carotene Phycoerythrin Phycocyanin Chlorophyll a Photodiode Interference Filter White Light Slide10: 1993 Sensor readings at ongoing bermudagrass, N rate * N timing experiments with the Noble Foundation in Ardmore, OK. Initial results were promising enough to continue this work in wheat. Dr. Marvin Stone adjusts the fiber optics in a portable spectrometer used in early bermudagrass N rate studies with the Noble Foundation, 1994.Slide11: 1995 New ‘reflectance’ sensor developed. Extensive field experiments looking at changes in sensor readings with changing, growth stage, variety, row spacing, and N rates were conducted.Slide12: Collaborative Project with CIMMYT Variety Selection/Yield Potential Spring Wheat 1996CIMMYT : Date Location Personnel Objectives Feb, 1997 Ciudad Obregon TEAM-VRT Discuss potential collaborative work Jan, 1999 Obregon & Texcoco Steve Phillips, Joanne LaRuffa, Wade Thomason, Sherry Britton, Joe Vadder, Gordon Johnson, John Solie, Dick Whitney IRSP 98, refine INSEY, 2- wheel tractor and wheat bed planter design Sep, 1999 Texcoco Erna Lukina IRSP 98, use of EY as a selection tool Aug, 2000 Texcoco Marvin Stone, Kyle Freeman, Roger Teal, Robert Mullen, Kathie Wynn, Carly Washmon, Dwayne Needham IRSP 99, applications of INSEY, sensor design for plant breeding Jan-Mar 2001 Ciudad Obregon Kyle Freeman Joint collaboration on 200-03530 NRI Grant Apr 2001 Ciudad Obregon Kyle Freeman Wheat harvest TOTAL 8 33 July 2001 El Batan Jagadeesh Mosali, Shambel Moges Micah Humphreys, Paul Hodgen, Carly Washmon Wheat harvest Apr 2002 Ciudad Obregon Paul Hodgen NASA Grant CIMMYT June 2002 El Batan Robert Mullen, Kyle Freeman Corn Sensing Oct 2002 El Batan Keri Brixey, Jason Lawles, Kyle Freeman Corn Harvest http://www.dasnr.okstate.edu/nitrogen_use/cimmyt_visit_2001.htm OSU Reflectance Sensor(1996-2002): Crop Target OSU Reflectance Sensor (1996-2002)Slide15: OSU Active Sensor (2001-present)Slide16: History of Using Indirect Measures for Detecting Nutrient Status NIRS analyzer which is connected to a computer focuses infrared rays on a prepared sample of dried pulverized plant material. The instrument measures protein, fiber and other plant components because each one reflects infrared rays differently. Samples and standards (previously characterized) and then mathematically comparedHistory of Using Indirect Measures for Detecting Nutrient Status: History of Using Indirect Measures for Detecting Nutrient Status NIRS (near infrared reflectance spectroscopy) Measuring the vibrations caused by the stretching and bending of hydrogen bonds with carbon oxygen and nitrogen. Each of the major organic components of a forage or other feed has light absorption characteristics. These absorption characteristics cause the reflectance that enables us to identify plant compositionChlorophyll Meters: Chlorophyll Meters Most WIDELY used “Indirect Measure” Minolta: SPAD (soil plant analysis development unit ) 501 & 502 light absorbance (light attenuation) at 430 (violet) and 750 nm (red/NIR transition) No tissue collection Leaf chlorophyll (SPAD) vs Leaf N concentration and NO3-NChlorophyll Meters (cont.): Chlorophyll Meters (cont.) http://www.specmeters.com/Plant_Chlorophyll_Meters/ How SPAD meters work IRRI (READ) Go to Factors affecting SPAD values Go to CRITCAL SPAD VALUES for varietal work University of NEBRASKA, sufficiency approach High correlation between leaf chlorophyll and leaf N. Why? Sample area. Problems? http://agronomy.ucdavis.edu/uccerice/afs/agfs0394.htm http://www.store.ripplecreek.com/category-greenformulas.html Slide20: Short wavelength High energy Long wavelength Low energy 0.01 10 380 450 495 570 590 620 750 wavelength, nm X-Rays Ultraviolet Infrared Chlorophyll b B-Carotene Phycoerythrin Phycocyanin Chlorophyll a Slide21: Response Index vs. SufficiencyOn-the-go-chemical-analyses: On-the-go-chemical-analyses ‘SoilDoctor’ selective ion electrode mounted on the shank of an anhydrous ammonia applicator Electromagnetic induction (EMI) http://oldsci.eiu.edu/physics/DDavis/1160/Ch21Ind/Farady.html VERIS measurements (Missouri) predicting grain yield sand deposition depth to clay pan electrical conductivitySlide23: Use of EM as a data layer to better predict yield potentialSlide25: On-the-go-chemical-analyses On-the-go sensors for organic matter and ground slope (Yang, Shropshire, Peterson and Whitcraft) Satellite images Aerial images (NIR sensitive film)Implications: Implications Reports of improved correlation between indirect measures and yield (EMI) versus soil test parameters Soil testing (process of elimination) no single parameter is expected to be correlated with yield K vs yield P vs yield N vs yield pH vs yield FES and SPAD: FES and SPAD Chlorophyll Meters and Field Element Size What is the connection? Indirect Measures? Is this a process of elimination like soil testing?FYI Spectral Radiance: FYI Spectral Radiance Radiance: the rate of flow of light energy reflected from a surface Measuring the radiance of light (at several wavelengths) that is reflected from the plant canopy Photodiodes detect light intensity (or radiance) of certain wavelengths (interference filters, e.g., red, green, NIR) that are reflected from plants and soil.Slide29: Normalized Difference Vegetation Index (NDVI) = NIR ref – red ref / NIR ref + red ref (up – down) excellent predictor of plant N uptake Units: N uptake, kg ha-1Slide30: Sensor Design (1991-96) Plant and Soil target Micro-Processor, A/D Conversion, and Signal Processing Ultra-Sonic Sensor Photo-Detector Optical Filters Collimation March 1996 You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.