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Evaluation of Green Seeker for Nitrogen Fertilization in Cotton – Preliminary results in Alabama

This study evaluates the use of GreenSeeker technology for nitrogen fertilization in cotton, focusing on the 2007-2009 growing seasons in North Alabama. The study analyzes the effects of different treatments on cotton biomass, plant height, NDVI, and lint yield. The results suggest that split application of nitrogen at planting and sidedress improves yield, but the NDVI response is only significant up to 2 weeks after sidedress.

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Evaluation of Green Seeker for Nitrogen Fertilization in Cotton – Preliminary results in Alabama

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  1. Evaluation of Green Seekerfor Nitrogen Fertilizationin Cotton – Preliminaryresults in Alabama Shannon Norwood, Amy Winstead, Charles Burmester, Paul Mask, Dale Monks, John Fulton, Joey Shaw, Brenda Ortiz

  2. Experimental Design • 2007-2008-2009 • North Alabama (Heavy soils) • 4 Treatments Cotton

  3. Experimental Design • Field strips (8 rows x length of the field) • Ramped calibration strip in the N Rich – Rep 1 plot • Data Collection • GS data – 4 times during the growing season • At sidedress (June 25 – 2008, 32 DAP) • GS/ 2 weeks after sidedress (2008- Jul. 9 & 26, Aug. 6) • From three locations within each plot, samples for: • Plant tissue for N analysis • Plant Height • SPAD 502 Meterreadings (10 plants at each location)

  4. Data Collection • Harvest • Two middle rows • Yield monitor • Subsample for lint turnout

  5. Results - 2008 • NDVI increase through time  increase in the cotton biomass.

  6. SPAD N Rich No Sidedress Standard High Sidedress 0.95 52 0.9 50 0.85 48 0.8 46 0.75 SPAD NDVI 0.7 44 0.65 42 0.6 40 0.55 0.5 38 Results - 2008 At sidedress • At sidedress: • No NDVI differences btwn N Rich (150 lb N at planting) & No sidedress (50 lb N at planting) • Standard TT (70 lb N ) had < NDVI than No sidedress (50 lb N) • NDVI trend ~ SPAD trend • No sidedress and High sidedress TTs – Same N rate at planting, but different NDVI • Later in the season, no much SPAD & NDVI relation….maybe Plant height…biomass?

  7. 0.95 9000 0.9 8000 0.85 7000 0.8 6000 NO3-N (ppm) 0.75 NDVI 5000 0.7 4000 0.65 3000 0.6 2000 0.55 0.5 1000 Results - 2008 NDVI and Petiole nitrate (ppm) At sidedress • At sidedress: • Low petiole Nitrate  low NDVI (High siddress TT) • After sidedress, no much relation btwn NDVI and petiole Nitrate

  8. T1 T2 T3 T4 Results - 2008 NDVI vs. Lint Yield • Differences in yield respect to N rate and time  Split application best ! • N at planting: both rates  same NDVI • Split application, slightly higher NDVI-6wks

  9. T1 T2 T3 T4 Results - 2008 NDVI vs. Lint Yield • 130 lb/ac yield difference btw T1 & T3  Same NDVI 2wks after sidedress • T2 - Lowest yield  Highest NDVI at 2wks from sidedress, but lowest NDVI 6 wks from sidedress • T3 – Highest yield  Similar NDVI than T1 throughout the season

  10. Results - 2009 • NDVI increase through time  increase in the cotton biomass. • No much NDVI differences beyond 2wks after sidedress

  11. Results - 2009 NDVI at sidedress vs. Lint Yield T1 T2 T3 T4 • A difference of 47 lb/ac btwn T1 and T2, however equal NDVI at sidedress

  12. Conclusions • Yield responses to nitrogen application, especially split application of N • NDVI increase up to 2 wks (sidedress), later no differences. • At sidedress  no NDVI differences btwn treatments. • SPAD increases with split N application but no differences in NDVI

  13. Development of a Cotton Fertilizer Prescription for Variable Rate Application in the Coastal Plain. Kip Balkcom Research Agronomist USDA-ARS Joey Shaw Soil Scientist Agronomy and Soils John Fulton Agricultural Engineer Biosystems Engineering

  14. Development of a Cotton Fertilizer Prescription for Variable Rate Application in the Coastal Plain. Quantify cotton response to different N rates across management zones for site-specific agriculture applications. Relate N status of cotton to sensor based readings across the landscape to identify a relationship for variable N rate application. Identify cotton quality parameters across the landscape and relate to management systems.

  15. Remote Sensing of Cotton in AL Location: E.V. Smith Research Center , Alabama, USA. * Size: 22 acres Soils: Sandy Loam (Aquic and Typic Paleudults).

  16. Characterization of Soils/Landscapes Terrain Attributes Electrical Conductivity Soil surface Texture/SOC Soil Survey 20 x 9-m

  17. Experimental Design Cluster 1 Cluster 2 Cluster 3 Cluster 4 Cluster 5 • 6 Replications • 8 Transects or strips/rep crossing landscape • Transects divided on Grids of 60 ft. x 24 ft. • Tillage split into 4 N rates. 0, 40, 80, 120 lb ac. Wheat/Soybean Cotton

  18. Data Collection • GreenSeeker data : • 1st sampling – Early squaring • 2nd sampling – Mid-bloom • Collected plant measurements from “smart” cells. • 25 uppermost mature leaves – N content + SPAD readings. • Plant heights – 10 random plants. • 1-m of row for whole plant biomass + N content. • Calculate the seed cotton yields for each cell. • Hand harvest - 50 bolls from each “smart” cell for seed N content.

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