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This report explores a comprehensive nitrogen (N) management trial conducted at Lake Carl Blackwell, Oklahoma, from 1972 to 2006, focusing on the NexGen 3273B2RF cotton variety. The study aims to identify visible indicators of nitrogen over-application and under-application, ensuring optimal crop health and yield. The trial included preplant fertilizer application, tillage methods, and mid-season nitrogen assessment strategies. Key findings and algorithms for estimating yield potential and managing nitrogen levels to promote efficient cotton production are discussed.
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Cotton Research Oklahoma State University
N Rate Algorithm Trial • Location: Lake Carl Blackwell • Plot Size: 20 x 10’ • Alley width: 5’ • Total area: 95 x 150 • Planting Date: May 15, 2006 • Harvest Date: October 9, 2006 • Fertilizer P applied preplant and incorporated, 30 lb P2O5/ac as 0-46-0 • Tillage: 2 disc’s preplant followed by a rolling coulter
N Rate Algorithm Trial • Variety: Monsanto NG3273B2RF • The Cotton Variety was NexGen 3273B2RF. It is a stacked trait variety with Roundup-Ready Flex (allows for multiple applications of Round-up throughout the growing season) and Bollgard 2 (newest Bt product for cotton). NexGen cotton varieties are stripper varieties
If too much N has been applied what are the visible indicators? • Delayed maturity • Compared to zero-N plots • Leaf N will be higher in the over-fertilized plots
If not enough N has been applied, and more is needed mid-season,what should we look for? • Leaf N < 90-95 % of over-fertilized plots or strips. • New fruits can shed • Developing bolls will be smaller
What to do? ENVIRONMENT ? • Zero-N Strip • Farmer Practice • Nitrogen Rich Strip • N management in Texas and Oklahoma is too N rich.
Improved Mid-Season N Management • Can we estimate RI in cotton similar to wheat and corn? • Can we estimate yield potential and use a YP0 * RI algorithm approach? • The Ramp Calibration Strip should help us to define optimum N rates and to avoid excessive vegetative growth
N Management • Preplant Soil Test 0-24” • Dryland: 30-50 lb N/acre • Irrigated: 60 lb N/bale of yield goal • Mid-season N (June, 1st square) • Use of N Rich and 0-N (visual) • Last N Applied (peak bloom)
Sensor Based N Algorithm • On-off based on vegetative Green optimum and coverage threshold • On-off decision of “if/then, and/or” for N or growth regulator • To start, these decision tools need to be simple (yes/no). Management zones, (high-med-low) approaches can come later.