 Part of › Amino Acids: Building blocks of proteins › Enzymes: responsible for all biological process › Nucleic Acids › Cholorphyll  Needed for Carbohydrate.

Slides:

Advertisements

Similar presentations

Evaluating eTuber and Energybeets as Feedstock for Biofuels and Biogas in South Florida Brian Boman 1, Edward Evans 2 and Ann C. Wilkie 3 1 Agricultural.

Advertisements

 Nitrogen › Not available › NH3 is the devil  Phosphorus › Not available › Around for a long time › Ortho P is better than Poly P.

Core Training Feb 9th In-Service

 Wheat Lots of $ › Sprayer, No-till/Air seeder, GPS, Yield Monitor, Combine,  Wheat a little $ › Grid, Veris, GPS Yield Monitor, Nrich and GS  Corn.

Use of Active Optical Sensor in North Dakota Dave Franzen and Lakesh Sharma, North Dakota State University, Fargo, ND.

May 6, Drought tolerant Miller ComparisonsEfawLCB Grain Yield (bu/ac) Drought tolerant vs. Non-drought tolerant Monsanto vs. Pioneer

586 farmer’s fields ( , N Rich or Ramps)

O K L A H O M A S T A T E U N I V E R S I T Y Nitrogen Management for Wheat and Corn, What you Shouldn’t Do.

May 15,  Rates – current industry recommendations  Soil and Foliar Applied ◦ Boron, Chlorine, Copper, Zinc ◦ Calcium – Foliar only  NDVI, Soil,

Comparison of Active Optical Sensors

Biological Molecules Carbohydrates Proteins Lipids Nucleic Acids.

2014 Agronomy Seedsmanship Conference Precision Farming Technologies Overview Dr. Brian Arnall Oklahoma State University.

Operating the Oklahoma State Univ. Ramp Mobile Analysis V2.0.

New Technology and Strategies for Nitrogen Management.

GreenSeeker® Handheld Crop Sensor

Sensor-based Nitrogen Application – Converting Research to Practicality Brent Rendel Rendel Farms Miami, Oklahoma.

Figure 1. Above-ground biomass by crop species and weeds, Amsterdam, Boxes represent the average ‘+’ and ‘–‘ one standard deviation. Whiskers (or.

 Several Sensor Based N Rate Calculations exist.  There are two distinct approaches to N rate calculations.  Use of Yield Prediction and Response 

Use of Alternative Concepts for Determining Preplant and Mid-Season N rates.

Studying of agricultural valuable traits of Triticale and development of new technologies for using of triticale as a forage crop Head of the Project :

GreenSeeker Sensor Brian Arnall Precision Nutrient Management Plant and Soil Sciences Department Oklahoma State University.

A Simplified Linear Transformation to Calculate N Application Rates in Corn and Wheat.

 Tested corn & milk for macromolecules  Cow used macromolecules in its food to create new macromolecules  Food provides energy & raw materials for.

Development of a SBNRC Calculator for Cotton D. Brian Arnall Oklahoma State University W. Raun, J. Solie, M. Stone, R. Taylor, O. Walsh, D. Edmonds, C.

Enhancing Sorghum Yield and Profitability through Sensor Based N Management Dave Mengel and Drew Tucker Department of Agronomy K-State.

Variable-Rate N Fertilization of Wheat and Corn in the Mid-Atlantic Variable-Rate N Fertilization of Wheat and Corn in the Mid-Atlantic Wade Thomason,

Automated Calibration Stamp Technology for Improved In-Season Nitrogen Fertilization K. Freeman, R. Teal, C. Mack, K. Martin, B. Arnall, K. Desta, J. Solie,

 Part of › Amino Acids: Building blocks of proteins › Enzymes: responsible for all biological process › Nucleic Acids › Cholorphyll  Needed for Carbohydrate.

Lessons Pages NUTRITION. WHAT YOU’LL LEARN 1.Identify the functions and sources of proteins, carbohydrates and fats 2.Identify the functions.

Bell Work WRITE, “ENZYMES ARE BIOLOGICAL CATALYSTS” 5 TIMES.

Generalized Algorithm for Variable Rate Nitrogen Application on Cereal Grains John B. Solie, Regents Professor Biosystems and Agri. Engineering Dept. William.

No-till Oklahoma Optimizing Nitrogen Fertilizer Through Use of Optical Sensors Brian Arnall Oklahoma State University

Soil pH P & K N & S Secondary & Micros Multi- Nutrient Variable Application In-Season Cues  Much like a Ladder › One Step at a Time.

Plant Science Crop ID. Cotton Flower Cotton Leaf.

Three Alternative Nitrogen Management Strategies for Cereal Grain Production Brian Arnall Brian Arnall Plant and Soil Sciences Department Oklahoma State.

Nutrient Management: Ways to Save Money, From Simple to High Tech Brian Arnall Precision Nutrient Management Plant and Soil Sciences Department Oklahoma.

Abell Corporation Fertilizer Division Fall Fertilizer Program.

Generalized Algorithm for Variable Rate Nitrogen Application on Cereal Grains John B. Solie, Regents Professor Biosystems and Agri. Engineering Dept. William.

Dave Mengel, Kansas State University Multi-State Winter Wheat Sensor Project,

Grain Outlook For Dr. Robert Wisner Iowa State University Dr. Robert Wisner Iowa State University 5/17/2004.

O K L A H O M A S T A T E U N I V E R S I T Y E VOLUTION OF N ITROGEN R EFERENCE S TRIPS.

Drew Tucker and Dave Mengel KSU Agronomy An update on Kansas sensor based N recommendations.

DEPARTMENT OF ENVIRONMENTAL SCIENCE & TECHNOLOGY Laboratory for Agriculture and Environmental Studies Sensor Based Variable Rate N Management in Mid-Atlantic.

Hawaii Property Management Company -

How the adoption of the N-Rich Strip has changed N Management

Components of a Variable Rate Nitrogen Rec

Variable Rate Nitrogen

Grid Soil sampling.

Grid Soil Sampling Brian Arnall.

Nutrient Management: Ways to Save Money, From Simple to High Tech

Oklahoma State University

Evaluation of the Yield Potential Based NFOA for Cotton

Sensor Algorithms.

Property Management Companies in Honolulu

Agronomic management and how we improve production

Precision Sensing Extension Workshop January 8, 2008

EVOLUTION OF NITROGEN REFERENCE STRIPS

G. V. Johnson and W. R. Raun Dept. Plant & Soil Sciences

Predicting Yield Potential, 2007

Sensors and Fertility Management

History of Predicting Yield Potential

Carrie Knott, Ph.D. Grain Crops Specialist Princeton, KY

Annual ASA Meeting, Indianapolis

Corn Algorithm Comparisons, NUE Workshop

OSU Corn Algorithm.

Corn Algorithm Comparisons, NUE Workshop

Conventional N Management for Oklahoma

K. Freeman, B. Raun, K. Martin, R.Teal, D. Arnall, M. Stone, J. Solie

YP0 = (NDVI / Days, GDD>0) YP0 = INSEY YPN = (YP0*RI)

Agriculture media Planning Guide

Presentation transcript:

 Part of › Amino Acids: Building blocks of proteins › Enzymes: responsible for all biological process › Nucleic Acids › Cholorphyll  Needed for Carbohydrate use  Increases root growth

Raun and Johnson, Agron J. 91:

“After the FACT” N Rate required for “MAX Yields” Ranged from 0 to 140 lbs N/ac

1.Right Source 2.Right Place 3.Right Rate 4.Right Time IPNI: International Plant Nutrition Institute

Are Very Visual.. BMP? Risk Aversion? Sales and Service?

 What: A high rate of N applied in, across, through, over or under each and every field  How Much: Minimum of 50 lbs N above preplant rate.  How and Where: 10 to 100 ft wide, anywhere representative.  When: Winter crops; before or after sowing (1+ months), Summer crops; before or immediately after planting.

 Numerical, describe the crops BIOMASS.  DOES NOT really WORK WITH OUT A REFERENCE  Multiple options › Companies › Resolution

SBNRC (YP0*RI =YPN) 100 Pre (100 lbs N/ac applied preplant) Yield Prediction

 The N-Rich Strip › Approx 500,000 acres.  Sensor Based N Rates (Agron behind it) › Winter Wheat, Sorghum, Corn, Canola, Cotton  New Crops › Winter Canola 120,000 acres › Sesame 50,000 acres  Partners in Research

 Use of the N-Rich strip is becoming very commercial.  1 consultant 1 st year 12,000 Ha

Brian Arnall Presentation Facebook Fan Page osunpk YouTube Channel : OSUNPK