SOIL 4213 BIOEN 4213 History of Using Indirect Measures for detecting Nutrient Status

1. SOIL 4213BIOEN 4213History of Using Indirect Measures for detecting Nutrient Status Oklahoma State University

2. 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 connection

3. 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

4. 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 Agriculture

5. Absorption of Visible Light by Photopigments SPAD 501, 502 (430, 750) Sunlight reaching earth Phycoerythrin Chlorophyll b Phycocyanin Absorption B-Carotene Chlorophyll a 300 400 500 600 700 800 Wavelength, nm Lehninger, Nelson and Cox

6. Short wavelength High frequency High energy Long wavelength Low frequency Low energy Yellow-green Yellow Violet Blue Green-blue Blue-green VISIBLE Color Transmitted Microwaves and short radio Violet Blue Green Yellow Orange Red Radio, FM, TV Gamma Rays Ultraviolet VISIBLE Color Absorbed Infrared X-Rays 0.01 10 380 450 495 570 590 620 750 1x106 1x1011 wavelength, nm Electronic Vibrational Rotational transitions transitions transitions

7. Short wavelength High energy Long wavelength Low energy Phycoerythrin Chlorophyll b Phycocyanin B-Carotene Chlorophyll a Ultraviolet Infrared X-Rays 0.01 10 380 450 495 570 590 620 750 wavelength, nm

8. CH3 CH3 CH3 CH3 CH3 CH3 RNH2 RNH2 RNH2 RNH2 | | | | | | | | | | | | | | | | 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900 2000 2100 2200 Wavelength, nm Near-Infrared AbsorptionMajor Amino and Methyl Analytical Bands and Peak Positions

9. White Light Interference Filter Photodiode Phycocyanin Chlorophyll b B-Carotene Phycoerythrin Chlorophyll a 380 450 495 570 590 620 750 wavelength, nm

10. 1993 Dr. Marvin Stone adjusts the fiber optics in a portable spectrometer used in early bermudagrass N rate studies with the Noble Foundation, 1994. 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.

11. 1995 Extensive field experiments looking at changes in sensor readings with changing, growth stage, variety, row spacing, and N rates were conducted. New ‘reflectance’ sensor developed.

12. Collaborative Project with CIMMYT Variety Selection/Yield PotentialSpring Wheat 1996

13. CIMMYT Date Location Personnel Objectives Feb, 1997 Ciudad Obregon TEAM-VRT Discuss potential collaborative work Jan, 1999 Obregon & Texcoco Steve Phillips, Joanne LaRuffa, IRSP 98, refine INSEY, 2- Wade Thomason, Sherry Britton, wheel tractor and wheat Joe Vadder, Gordon Johnson, bed planter design John Solie, Dick Whitney Sep, 1999 Texcoco Erna Lukina IRSP 98, use of EY as a selection tool Aug, 2000 Texcoco Marvin Stone, Kyle Freeman, IRSP 99, applications of Roger Teal, Robert Mullen, INSEY, sensor design Kathie Wynn, Carly Washmon, for plant breeding Dwayne Needham Jan-Mar 2001 Ciudad Obregon Kyle Freeman Joint collaboration on 200-03530 NRI Grant Apr 2001 Ciudad Obregon Kyle Freeman Wheat harvest July 2001 El Batan Jagadeesh Mosali, Shambel MogesMicah Humphreys, Paul Hodgen,Carly Washmon Wheat harvest Apr 2002 Ciudad Obregon Paul Hodgen NASA Grant June 2002 El Batan Robert Mullen, Kyle Freeman Corn Sensing Oct 2002 El Batan Keri Brixey, Jason Lawles, Kyle Freeman Corn Harvest TOTAL 8 33 http://www.dasnr.okstate.edu/nitrogen_use/cimmyt_visit_2001.htm

14. OSU Reflectance Sensor(1996-2002) Crop Target

15. OSU Active Sensor(2001-present)

16. 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 compared

17. 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 composition

18. 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-N

19. 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

20. Short wavelength High energy Long wavelength Low energy Phycoerythrin Chlorophyll b Phycocyanin B-Carotene Chlorophyll a Ultraviolet Infrared X-Rays 0.01 10 380 450 495 570 590 620 750 wavelength, nm

21. Response Index vs. Sufficiency

22. 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 conductivity

23. Use of EM as a data layer to better predict yield potential

25. 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)

26. 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

27. FES and SPAD • Chlorophyll Meters and Field Element Size • What is the connection? • Indirect Measures? Is this a process of elimination like soil testing?

28. 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.

29. 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-1

30. Sensor Design (1991-96) Micro-Processor, A/D Conversion, and Signal Processing Photo-Detector Optical Filters Ultra-Sonic Collimation March 1996 Sensor Plant and Soil target