Skip to main content

Extension

Open Main MenuClose Main Menu

Impact of Sensor-Based Nitrogen Management on Yield and Soil Quality

Introduction

The Sensor-based Nitrogen Rate Calculated (SBNRC) developed at Oklahoma State University has been documented to increase profit of winter wheat production through either the reduction of nitrogen (N) fertilizer inputs without loss of yield or increase in grain yields with increased inputs. The technique utilizes the GreenSeeker™ sensor, which records NDVI, to measure a high nitrogen strip (N-Rich Strip) placed in the field, pre-plant and an adjacent area representing the farmer practice. These values are then put in an algorithm that provides an estimate of potential yield and a field-specific nitrogen rate recommendation. To date the studies reported were established and concluded over a period of three years or less. Prior to this project there was no documentation on the long term impact of using this technology for increased yields, net returns and soil quality. This report examines a study that was established in 2004 designed to evaluate the sensor-based technologies and typical yield goal based management practices. The study consists of five treatments replicated three times; check, N-rich strip, Yield goal all pre-plant, Yield goal 50/50 split, and 45 lb N ac-1 pre-plant + SBNRC. The regional yield goal is 45 bu ac-1 which, according to Fact Sheet PSS-2225 (Zhang et al 2009), should receive 90 lbs N ac-1 annually. The 2012 winter wheat harvest marked the 8th crop harvested. Nitrogen application rates, grain yield and nitrogen use efficiency were analyzed across years along with soil properties such as percent organic matter, surface and sub-soil nitrate levels.

 

N-rich strip in a producer’s winter wheat field

 

 

Figure 1. N-rich strip in a producer’s winter wheat field.

 

 

 

 

Farmer next to an N-Rich Strip, being sensed with a GreenSeeker™ sensor.

 

 

Figure 2. Farmer next to an N-Rich Strip, being sensed with a GreenSeeker™ sensor.

 

 

 

 

Only six years were evaluated as two harvests were lost due to late season freeze events. Table 1 shows the average annual N rate, grain yield and economic return (grain value – fertilizer cost) over the six years analyzed. On an annual basis, the SBNRC decreased N applied by 28 lbs ac-1 yr-1 while maintaining yields equivalent to both traditional fertilizer treatments. Similarly, Butchee et al. (2011) summarized a series of on farm large scale trials evaluating the Winter Wheat SBNRC in Oklahoma. Over fifteen site years, the technology produced an equivalent amount of total grain with 20 fewer lbs N ac-1 yr-1 than the farmer’s practice.

 

Table 1. Six year average N additions, yield and economic return.

         
    N rate lb ac-1 Yield bu ac-1 Return* $ ac-1
  Check 0 33 154
  N-Rich 120 49 189
  45 pre SBNRC 62 46 193
  45 / 45 split 90 45 177
  90 pre 90 48 194

*Return = grain value – nitrogen fertilizer cost: prices based on fertilizer cost and application + grain price at each harvest.

 

When comparing yield levels and return of the SBNRC method and 45/45 split on a year-by-year basis, the yield of the SBNRC was statistically greater once, lower once and equal to the 45/45 split during the four years. The economic return from the SBNRC plot was greater two years and equal for the 45/45 split the other four. Comparing the SBNRC to the 90 lbs N preplant treatment showed no significant difference in yield or return on an annual basis over the six years.


During the six cropping seasons, the SBNRC applied 166 lbs less N than the two producer standard treatments (Table 2). The 90 lbs preplant treatment recorded the highest total grain yield with a six year sum of 292 bu ac-1, the SBNRC treatment produced 283 bu ac-1, and the split application produced 277 bu ac-1. While the 90 lb preplant plot made the most grain numerically there was no significant difference between the yields of the three treatments.

 

Table 2. Six year total additions and grain harvest.

           
    Total N
lb ac-1
Yield
bu ac-1
Grain N Removed
lb ac-1
Nitrogen Use Efficiency
  Check 0 200 300  
  N-Rich 722 299 449 0.21
  45 pre SBNRC 374 283 425 0.33
  45 / 45 split 540 277 416 0.21
  90 pre 540 292 438 0.26

During the eight years this study was conducted, plots were never moved. For example, the check had not received N fertilizer since 2004. Soil samples were collected after 2012 to a depth of 3 feet. Results of the 0- to 6-inch samples are reported in Table 3. There was no significant difference in total N, organic carbon, or soil organic matter level. The nitrate (NO3) level of the Check was significantly lower than the other treatments, while the split application was significantly higher. Below the 6-inch sampling depth, there was no significant difference in NO3 levels of any treatment. This is extremely important if you consider that during the eight years of the study, 960 lbs of N ac-1 was applied to the N-Rich strip and no N had been applied to the check. The question must be asked “Where did the N go?” The answer is likely one of nitrogen’s many pathways of loss; leaching, identification, volatilization or plant loss.

 

Table 3. Soil test summary a 0-6” in sample after eight consecutive years of following specific nitrogen management practices.

           
    NO3
lbs ac-1
Total N
%
Org C
%
SOM*
%
  Check 12 0.07 0.66 1.13
  N-Rich 17 0.08 0.68 1.18
  45 pre SBNRC 18 0.08 .072 1.25
  45 / 45 split 23 0.09 0.8 1.37
  90 pre 18 0.08 0.66 1.13

*SOM: Soil Organic Matter. 

 

Summary

After eight years of continuous management, there was no significant difference in average grain yield or cumulative grain yield of plots receiving the traditional producer fertilizer rate or the sensor-based nitrogen rate.  In addition, there was no significant difference in the levels of residual nitrogen or organic matter, supporting that the use of the sensor technology will not deplete soil reserves but in fact greatly reduce the amount of nitrogen being lost to the environment.

 

References

Butchee, K.B, J. May., D.B. Arnall, R. Taylor, W.R. Raun.  2011. Large scale evaluation of the sensor-based nitrogen rate calculator. J. Crop Prod. doi:10.1094/CM-2011-0725-01-RS.


Zhang, H., B. Raun., B. Arnall.  2009.   OSU Soil Test Interpretations.  PSS-2225- Okla. Coop. Ext Serv. Okla. State Univ. Stillwater OK.

 

Brian Arnall
Precision Nutrient Management Specialist

 

Bill Raun
Soil Fertility Research

Was this information helpful?
YESNO
Fact Sheet
Cause and Effects of Soil Acidity

Learn about how soil acidity can be a problem for plant growth in much of Oklahoma but is most prevalent in central and eastern OK. Because acid conditions are more common in eastern Oklahoma due to its natural occurrence producers are generally better able to manage soil acidity in that part of the state. In central and western Oklahoma, the soils are not naturally acidic but have become acidic overtime. This fact sheet explains why soils become acidic and the problems acid soils create for plant growth.

CropsFertilizationSoilSoil Health & Fertility
Fact Sheet
Oklahoma Agricultural Soil Test Summary 2018-2022

By Hailin Zhang and Barbara McCray. Read through the Oklahoma agricultural soil test summary for the years 2018-2022. You will learn the necessity of evaluating the soil fertility information for each individual county or state when estimating nutrient needs, tracking changes in soil pH and nutrient levels and when serving as a guideline for fertilizer and manure application.

SoilSoil Health & FertilitySoil Testing
Fact Sheet
Preparation of Biochar for Use as a Soil Amendment

Learn about the benefits and process of producing biochar for agricultural lands and crops.

SoilSoil Health & Fertility
VIEW ALL
Back To Top
MENUCLOSE