Abstract
Precision nitrogen (N) management (PNM) aims to match N supply with crop N demand in both
space and time and has the potential to bring agronomic, economic, and environmental
benefits. A remote sensing and calibration strip-based PNM technology (RS-CS-PNM) has been
developed by the Precision Agriculture Center at the University of Minnesota. The objective of
this research was to evaluate the benefits of this RS-CS-PNM technology under on-farm
conditions compared with farmer’s normal practice (FNP). Commercial fields in Minnesota and
Indiana, USA were selected in 2021. A series of preplant N rate strips were set up based on the
farmer’s total N rate (FNR). Nitrogen rates included 35, 35, 70, and 100% FNR, with 3-5
replications depending on the field size, with the 130% FNR strip regarded as an N-rich strip.
Strips were further delineated into smaller sections (grids) ranging from 45 to 60 m long by the
original strip width. Adjacent grids that represented the range of all preplant N treatments were
considered as one transect. For the RS-CS-PNM technology, normalized difference vegetation
index (NDVI) was calculated from PlanetScope images (3 m resolution) around the V7-V9 corn
stage. Response curves were created with NDVI and the applied preplant N rates for each transect. Then, the sidedress N rate for the 35% and 70% FNR treatments were determined for
each grid from the transect-specific agronomic optimal N rate (AONR). The sidedress N rate for
one of the two 35% FNR strips in each replication was determined by the commercially
available Granular Nitrogen Management functionality powered by the Granular Crop Model
(GCM) in Granular Insights software. The results suggested the RS-CS-PNM technology
achieved higher grain yield and net economic return than the FNP despite lower N application
rates for both fields in Minnesota and Indiana. The RS-CS-PNM and GCM strategies resulted in
significantly higher partial factor productivity rates than FNP. The GCM statistically yielded a
higher residual nitrate-N rate at harvest. Further analysis and on-farm trials under different
weather and field conditions are required to evaluate the potential of PNM technology for the
agronomic, economic, and environmental benefits
space and time and has the potential to bring agronomic, economic, and environmental
benefits. A remote sensing and calibration strip-based PNM technology (RS-CS-PNM) has been
developed by the Precision Agriculture Center at the University of Minnesota. The objective of
this research was to evaluate the benefits of this RS-CS-PNM technology under on-farm
conditions compared with farmer’s normal practice (FNP). Commercial fields in Minnesota and
Indiana, USA were selected in 2021. A series of preplant N rate strips were set up based on the
farmer’s total N rate (FNR). Nitrogen rates included 35, 35, 70, and 100% FNR, with 3-5
replications depending on the field size, with the 130% FNR strip regarded as an N-rich strip.
Strips were further delineated into smaller sections (grids) ranging from 45 to 60 m long by the
original strip width. Adjacent grids that represented the range of all preplant N treatments were
considered as one transect. For the RS-CS-PNM technology, normalized difference vegetation
index (NDVI) was calculated from PlanetScope images (3 m resolution) around the V7-V9 corn
stage. Response curves were created with NDVI and the applied preplant N rates for each transect. Then, the sidedress N rate for the 35% and 70% FNR treatments were determined for
each grid from the transect-specific agronomic optimal N rate (AONR). The sidedress N rate for
one of the two 35% FNR strips in each replication was determined by the commercially
available Granular Nitrogen Management functionality powered by the Granular Crop Model
(GCM) in Granular Insights software. The results suggested the RS-CS-PNM technology
achieved higher grain yield and net economic return than the FNP despite lower N application
rates for both fields in Minnesota and Indiana. The RS-CS-PNM and GCM strategies resulted in
significantly higher partial factor productivity rates than FNP. The GCM statistically yielded a
higher residual nitrate-N rate at harvest. Further analysis and on-farm trials under different
weather and field conditions are required to evaluate the potential of PNM technology for the
agronomic, economic, and environmental benefits
| Original language | American English |
|---|---|
| Number of pages | 9 |
| State | Published - 2022 |
| Event | 15th International Conference on Precision Agriculture - Minneapolis, United States Duration: Jun 26 2022 → Jun 29 2022 https://www.ispag.org/icpa/History/15_ICPA |
Conference
| Conference | 15th International Conference on Precision Agriculture |
|---|---|
| Country/Territory | United States |
| City | Minneapolis |
| Period | 6/26/22 → 6/29/22 |
| Internet address |
Keywords
- Precision nitrogen management
- atellite remote sensing
- Grain yield
- Nitrogen use efficiency
- Economic returns
- Soil nitrate-nitrogen
- On-farm trial
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