Presentation is loading. Please wait.

Presentation is loading. Please wait.

Optimizing Nitrogen and Irrigation Timing for Corn Fertigation Applications Using Remote Sensing Ray Asebedo, David Mengel, and Randall Nelson Kansas State.

Published byWarren Hill Modified over 8 years ago

Similar presentations

Presentation on theme: "Optimizing Nitrogen and Irrigation Timing for Corn Fertigation Applications Using Remote Sensing Ray Asebedo, David Mengel, and Randall Nelson Kansas State."— Presentation transcript:

1 Optimizing Nitrogen and Irrigation Timing for Corn Fertigation Applications Using Remote Sensing Ray Asebedo, David Mengel, and Randall Nelson Kansas State University Manhattan, KS

2 Objectives  Measure the impact of the relationship between irrigation timing, N rate, and timing of N application with corn grain yield  Evaluate the potential for developing algorithms designed for fertigation systems

3 Experimental Design  Research plots 10’x40’  Randomized complete block design  Four replications  Two irrigated sites at KSU experiment fields  One flood irrigation site with farmer cooperation in 2012 only

4 Treatment Protocol, 2012 TreatmentN SourceStarter NPre-Plant NIn-Season N RateTotal N Rate 1Urea20800100 2Urea201600180 3Urea202500270 4UAN204040 V4100 5UAN208080 V4180 6UAN20125125 V4270 7UAN2040Sensor60+Sensor 8UAN2080Sensor100+Sensor 9UAN20125Sensor145+Sensor 10Check20N/A

5 Treatment Protocol, 2013-14 Total N Rate Reduced TreatmentN SourceStarter NPre-Plant NIn-Season N RateTotal N Rate 1Urea2060080 2Urea201200140 3Urea201800200 4UAN203030 V480 5UAN206060 V4140 6UAN209090 V4200 7UAN2040Sensor60+Sensor 8UAN2080Sensor100+Sensor 9UAN20120Sensor140+Sensor 10Check20N/A

6 Sampling Methods  0-6” and 0-24” soil samples prior to planting  Irrigation scheduling made with KanSched2  Canopy reflectance measured at multiple growth stages  Optical Sensor utilized, Trimble Greenseeker  V-10 and R-1  Tucker and Mengel(2010) algorithm utilized for sensor based N recommendations  Harvested with plot combine at KSU Experiment fields. Hand harvested at farmer fields  Combine harvest area, 5’x40’  Hand harvest area, 5’x17.5’

7 Site Information, Scandia Station Year201220132014 Soil TypeCrete silt loam Previous CropSoybeans Tillage PracticeRidge Till Corn HybridNA Pioneer P1602 Plant Population (plants/ac)300002950033500 Irrigation TypeLateral Planting Date4/27/20125/16/20135/5/2014 Second Treatment V-46/4/20126/19/20136/19/2014 Third Treatment V-8 through V-106/14/20127/3/2013NA Last Treatment V-16 through R-16/28/2012NA8/4/2014 Harvest Date10/24/201211/1/201311/11/2014

8 Site Information, Scandia Site 2 Year2012 Soil TypeCarr Fine Sandy loam Previous CropSoybeans Tillage PracticeRidge Till Corn HybridNA Plant Population (plants/ac)32000 Irrigation TypeFlood Planting Date4/27/2012 Second Treatment V-46/4/2012 Third Treatment V-86/14/2012 Last Treatment V-166/26/2012 Harvest Date9/25/2012

9 Site Information, Rossville Station Year20132014 Soil TypeEudora sandy loam Previous CropSoybeans Tillage PracticeConventional Corn HybridPioneer 0876Producers Hybrid 7224 VT3 Plant Population (plants/ac)32000 IrrigationLateral Planting Date4/29/20134/23/2014 Second Treatment V-46/3/20136/6/2014 Third Treatment V-106/25/2013NA Last Treatment V-16 through R-1NA7/8/2014 Harvest Date9/23/20139/17/2014

10 Results: By Site and By Year

11 2012, Scandia Site 2 Farmer Cooperative Field TreatmentTiming Method Starter N (lb/a) Preplant N (lb/a) In-Season N (lb/a)Total N Applied (lb/a) Yield (bu/a) LSD Grouping 4Pre-plant/V42040 100209A 9Pre-plant/Sensor2012530175209ABC 1Pre-plant2060080203ABC 2Pre-plant201400160201ABC 3Pre-plant202300250199ABC 7Pre-plant/Sensor204094154199ABC 8Pre-plant/Sensor208086186198ABC 5Pre-plant/V42080 180197BC 6Pre-plant/V420105 230193C 10Check2000 193C Treatments with same letter are not statistically different at an 0.05 alpha

12 2012, Scandia Site 2 Farmer Cooperative Field

13  Approximately 60 pounds of N per acre was applied through the irrigation water  Low response to applied N  Site not utilized after 2012 due to high NO3-N in irrigation water  Sensor treatments over applied N

14 2012, Scandia Station TreatmentTiming Method Starter N (lb/a) Preplant N (lb/a) In-Season N (lb/a) Total N Applied (lb/a) Yield (bu/a) LSD Grouping 6Preplant/V420105 230188A 5Preplant/V42080 180187A 3Preplant202300250185A 9Preplant/Sensor2012586231185A 8Preplant/Sensor208044144173B 2Preplant201400160166BC 7Preplant/Sensor204091151166BC 1Preplant2060080156C 4Preplant/V42040 100138D 10Check2000 119E Treatments with same letter are not statistically different at an 0.05 alpha

15 2012, Scandia Station

16  Split N applications Preplant/V-4 achieved highest yield 187 bu/ac at 180 lbs N/ac  Preplant treatment required 230 lb N/ac to be statistically equal to highest yielding Split treatments  Sensor treatment with 125 lb N/ac at Preplant was able achieve high yield but overestimated N need to attain it

17 2013, Scandia Station TreatmentTiming Method Starter N (lb/a) Preplant N (lb/a) In-Season N (lb/a) Total N Applied (lb/a) Yield (bu/a) LSD Grouping 5Preplant/V42060 140179A 8Pre-plant/Sensor208087187177AB 4Preplant/V42030 80176AB 3Pre-plant201800200173AB 6Preplant/V42090 200172AB 7Pre-plant/Sensor2040123183172AB 2Pre-plant201200140170AB 9Pre-plant/Sensor20120133273169AB 1Pre-plant2060080167B 10Check2000 149C Treatments with same letter are not statistically different at an 0.05 alpha

18 2013, Scandia Station

19  Overall yields were lower than expected at 179 bu/ac. Expected yields were 250 bu/ac. Likely due to late planting  Low response to applied N  Primary response was to total N rate  Conditions were conducive for mineralization of N  Sensor treatments achieved highest yield group but overestimated the N requirements

20 2013, Rossville Station TreatmentTiming Method Starter N (lb/a) Preplant N (lb/a) In-Season N (lb/a) Total N Applied (lb/a) Yield (bu/a) LSD Grouping 8Pre-plant/Sensor080144224148A 7Pre-plant/Sensor040212252148A 9Pre-plant/Sensor0120149269144AB 6Preplant/V4090 180139AB 5Preplant/V4060 120135ABC 2Pre-plant01200 127ABC 3Pre-plant01800 123BC 4Preplant/V4030 60116CD 1Pre-plant0600 96D 10Check000070E Treatments with same letter are not statistically different at an 0.05 alpha

21 2013, Rossville Station

22  Significant response to applied N  Soil is a deep sandy loam and incurred frequent leaching events, lowering overall yield ranging from 70-148 bu/ac  Sensor treatments generated the highest yields but only statistically different from lower rate preplant treatments  Results indicate fertigation systems may need to make frequent low rate N applications to satisfy N demand despite water requirements being met or exceeded

23 2014, Rossville Station TreatmentTiming Method Starter N (lb/a) Preplant N (lb/a) In-Season N (lb/a) Total N Applied (lb/a) Yield (bu/a) LSD Grouping 2Pre-plant01200 257A 6Preplant/V4090 180254AB 5Preplant/V4060 120248ABC 3Pre-plant01800 248ABC 1Pre-plant0600 239ABC 7Pre-plant/Sensor0401555237ABC 9Pre-plant/Sensor01200 228BC 4Preplant/V4030 60225C 8Pre-plant/Sensor0800 223C 10Check0000186D Treatments with same letter are not statistically different at an 0.05 alpha

24 2014, Rossville Station

25  Excellent yields and significant response to N  Clay lense at 24” to 36” depths held up water in the rooting zone, preventing leaching losses. As a result much higher yields were obtained compared to the 2013 Rossville site 186-257 bu/ac  Sensor treatments were effective at finding 90% economic optimum, achieving 237 bu/ac from 55 lb of applied N/ac

26 2014, Scandia Station TreatmentTiming Method Starter N (lb/a) Preplant N (lb/a) In-Season N (lb/a) Total N Applied (lb/a) Yield (bu/a) LSD Grouping 6Preplant/V4090 180239A 3Pre-plant01800 232AB 9Pre-plant/Sensor012030150231AB 7Pre-plant/Sensor040120160229AB 2Pre-plant01200 223B 8Pre-plant/Sensor08060140223B 5Preplant/V4060 120218BC 1Pre-plant0600 204C 4Preplant/V4030 60189D 10Check0000163E Treatments with same letter are not statistically different at an 0.05 alpha

27 2014, Scandia Station

28  Excellent yields 163-239 bu/ac and significant response to applied N  Low N loss  Conducive conditions for mineralized N, resulting in high productivity, 163 bu/ac check  Sensor treatments were effective at determining the optimum N rate (150 lb N/ac) and achieve high yield 231 bu/ac

29 Potential for Fertigation and Remote Sensing  Would be able to conduct crop monitoring throughout the growing season, thus presenting the possibility to determine the optimize N rate and timing for any given soil and year (weather)  Sensor algorithms must be specifically designed for fertigation systems  Fertigation systems may need to apply N when water requirements have been met or exceeded

30 2015 So Far

31

32

33 But… Heavy rain created anaerobic conditions Most fields did not need additional N

34 Questions

Download ppt "Optimizing Nitrogen and Irrigation Timing for Corn Fertigation Applications Using Remote Sensing Ray Asebedo, David Mengel, and Randall Nelson Kansas State."

Similar presentations

Do In and Post-Season Plant-Based Measurements Predict Corn Performance and/ or Residual Soil Nitrate? Patrick J. Forrestal, R. Kratochvil, J.J Meisinger.

Do In and Post-Season Plant-Based Measurements Predict Corn Performance and/ or Residual Soil Nitrate? Patrick J. Forrestal, R. Kratochvil, J.J Meisinger.
Current Nitrogen Fertilization Strategies for Corn in Nebraska Richard Ferguson Bob Caldwell.

Current Nitrogen Fertilization Strategies for Corn in Nebraska Richard Ferguson Bob Caldwell.
Morteza Mozaffari Soil Testing and Research Laboratory, Marianna Efforts to Improve N Use Efficiency of Corn in Arkansas Highlights of Research in Progress.

Morteza Mozaffari Soil Testing and Research Laboratory, Marianna Efforts to Improve N Use Efficiency of Corn in Arkansas Highlights of Research in Progress.
EVALUATION OF GREENSEEKER FOR NITROGEN FETILIZATION IN COTTON ALABAMA REPORT 1 Evaluation of Green Seeker for Nitrogen Fertilization in Cotton – Preliminary.

EVALUATION OF GREENSEEKER FOR NITROGEN FETILIZATION IN COTTON ALABAMA REPORT 1 Evaluation of Green Seeker for Nitrogen Fertilization in Cotton – Preliminary.
Morteza Mozaffari Soil Testing and Research Laboratory, Marianna Immediate and Residual Effects of Urea and Pelleted Poultry Manure on Corn and Soil in.

Morteza Mozaffari Soil Testing and Research Laboratory, Marianna Immediate and Residual Effects of Urea and Pelleted Poultry Manure on Corn and Soil in.
May 6, 2014. Drought tolerant Miller ComparisonsEfawLCB Grain Yield (bu/ac) Drought tolerant vs. Non-drought tolerant -7.70.6 Monsanto vs. Pioneer 15.913.3.

May 6, Drought tolerant Miller ComparisonsEfawLCB Grain Yield (bu/ac) Drought tolerant vs. Non-drought tolerant Monsanto vs. Pioneer
Fertilizing potatoes with biofuel byproducts Amber Moore, Ph.D University of Idaho Twin Falls Research and Extension Center.

Fertilizing potatoes with biofuel byproducts Amber Moore, Ph.D University of Idaho Twin Falls Research and Extension Center.
Sensor research and algorithm development for corn in ND L.K. Sharma, D.W. Franzen, H. Bu, R. Ashley, G. Endres and J. Teboh North Dakota State University,

Sensor research and algorithm development for corn in ND L.K. Sharma, D.W. Franzen, H. Bu, R. Ashley, G. Endres and J. Teboh North Dakota State University,
The Nitrogen Requirement and Use Efficiency of Sweet Sorghum Produced in Central Oklahoma. D. Brian Arnall, Chad B. Godsey, Danielle Bellmer, Ray Huhnke.

The Nitrogen Requirement and Use Efficiency of Sweet Sorghum Produced in Central Oklahoma. D. Brian Arnall, Chad B. Godsey, Danielle Bellmer, Ray Huhnke.
Comparison of Active Optical Sensors

Comparison of Active Optical Sensors
1 CANOPY REFLECTANCE (HRWW AND HRSW) IN SOUTH DAKOTA ECONOMIC OPTIMUM NITROGEN RATE FOR HRSW IN SOUTH DAKOTA Nitrogen Use Efficiency Meeting Cheryl Reese*,

1 CANOPY REFLECTANCE (HRWW AND HRSW) IN SOUTH DAKOTA ECONOMIC OPTIMUM NITROGEN RATE FOR HRSW IN SOUTH DAKOTA Nitrogen Use Efficiency Meeting Cheryl Reese*,
Flexibility of system to deliver water Level of control available to the irrigator e.g. ditch system on a fixed schedule vs. large capacity well supplying.

Flexibility of system to deliver water Level of control available to the irrigator e.g. ditch system on a fixed schedule vs. large capacity well supplying.
Integrating Weather and Soil Information With Sensor Data Newell Kitchen USDA ARS Cropping Systems and Water Quality Research Unit Columbia, Missouri.

Integrating Weather and Soil Information With Sensor Data Newell Kitchen USDA ARS Cropping Systems and Water Quality Research Unit Columbia, Missouri.
SCC-33 National Variety Testing Meeting New Orleans – February 8-10, 2012 Rick Mascagni LSU AgCenter St. Joseph, LA.

SCC-33 National Variety Testing Meeting New Orleans – February 8-10, 2012 Rick Mascagni LSU AgCenter St. Joseph, LA.
Phosphorus Nutrition of Cotton

Phosphorus Nutrition of Cotton
The Effects of Topdressing Organic Nitrogen on Hard Red Winter Wheat - Year 2 Name: Erica Cummings Date: March 15, 2012 Title: Crops and Soils Technician.

The Effects of Topdressing Organic Nitrogen on Hard Red Winter Wheat - Year 2 Name: Erica Cummings Date: March 15, 2012 Title: Crops and Soils Technician.
Nitrogen Use Efficiency Workshop Canopy Reflectance Signatures: Developing a Crop Need-Based Indicator for Sidedress Application of N Fertilizer to Canola.

Nitrogen Use Efficiency Workshop Canopy Reflectance Signatures: Developing a Crop Need-Based Indicator for Sidedress Application of N Fertilizer to Canola.
1 Texas Liquid Fertilizer Sorghum 2007. 2 TLF Commitment to you Increase yields Lower Costs Help solve those production problems that limit profitability.

1 Texas Liquid Fertilizer Sorghum TLF Commitment to you Increase yields Lower Costs Help solve those production problems that limit profitability.
Chapter 5. Crop Production Thomas J. Basden, West Virginia University, A.O. Abaye, Virginia Tech, and Richard W. Taylor, University of Delaware Mid-Atlantic.

Chapter 5. Crop Production Thomas J. Basden, West Virginia University, A.O. Abaye, Virginia Tech, and Richard W. Taylor, University of Delaware Mid-Atlantic.
Preview of Summer 2014 Revision of Corn N Recommendations and N Issues Dave Franzen, PhD Extension Soil Specialist North Dakota State University, Fargo,

Preview of Summer 2014 Revision of Corn N Recommendations and N Issues Dave Franzen, PhD Extension Soil Specialist North Dakota State University, Fargo,

Similar presentations

Ads by Google