Use of Climate Forecast as a Tool to Increase Nitrogen Use Efficiency in Wheat Brenda V. Ortiz 1, Reshmi Sarkar 1, Kip Balkcom 2, Melissa Rodriguez 3,

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Use of Climate Forecast as a Tool to Increase Nitrogen Use Efficiency in Wheat Brenda V. Ortiz 1, Reshmi Sarkar 1, Kip Balkcom 2, Melissa Rodriguez 3, Mathew Tapley 1 Auburn University, 2 USDA-ARS, National Tillage Lab, 3 University of Florida 2015 NUE Workshop August 4-5, 2015 Auburn University, Auburn, Alabama

Climate in the Southeast A. El Niño phase of ENSO Above average sea surface temperature (SST) across the eastern tropical Pacific High influence on Winter and Spring climate Winter Summer

Climate in the Southeast B. La Niña phase of ENSO Below than normal sea surface temp. (SST) across the eastern tropical Pacific Winter Summer

ENSO and Precipitation Anomalies in Alabama El Niño La Niña January-February-March Location and ENSO phase specific differences Source: Vaishali Sharda (Biosystems Engineering – Auburn)

Does wheat nitrogen response change between ENSO phases? Can we tailor nitrogen fertilization (rate and timing) based on the ENSO forecast?

Rates and times of N application study conducted at multiple locations across Alabama Source: Balkcom & Burmester - Agron. J. 107:425–434 (2015)

Simulation Modeling Crop simulation models simulate growth, development and yield as a function of the soil- plant-atmosphere dynamics, and they have been used for many applications ranging from on-farm and precision management to regional assessments of the impact of climate variability and climate change CERES-Wheat Model

TVS WGS Crop Simulation Modeling Study Two locations: North (TVS), Silt loam soil Southeast (WGS), loamy sand Seasonal Analysis - 61yrs ( ) weather data 12 Niña years 10 Niño years 15 N treatments (rate and timing) Variables under study: yield and N leaching

Different combination of N rates used in the Seasonal Analysis Treatment N rate (kg/ha) Total N (kg/ha) plantingF4F None at planting None at Feekes 6 F4 > F6 F4 >> F6 None at Feekes 4

RESULTS – Southeast AL site (loamy sand soil) None at planting None at Feekes 6 F4 > F6 F4 >> F6 None at Feekes 4

RESULTS – North AL site (silt loam soil) None at planting None at Feekes 6 F4 > F6 F4 >> F6 None at Feekes 4

Tt 5 = Tt 7 = Tt 10 = Tt 13 = Tt 6 = Tt 8 = Tt 11 = Tt 14 = Tt 9 = Tt 12 = Tt 15 = Southeast AL site (loamy sand soil) Wheat Yield El Niño > La Niña

North AL site silt loam soil) Tt 5 = Tt 7 = Tt 10 = Tt 13 = Tt 6 = Tt 8 = Tt 11 = Tt 14 = Tt 9 = Tt 12 = Tt 15 = Wheat Yield La Niña > El Niño

N leached (kg/ha) N uptake (kg/ha) Southeast AL site Highest leaching El Niño > La Niña Standard Deviation for uptake and leached N are in parenthesis Highest F4 N Treatments and N rates : 8 = ; 9 = ; 12 = ; 13 = ; 14 = and 15 =

Higher leaching  High rainfall well F4 AWDR  10 days pre-sidress N & 20 day post-sidress N AWDR introduced by Trembley et al. (2012). Agron. J. 104:1658–1671 (2012) AWDR: Abundant and well distributed rainfall

North AL site Highest leaching La Niña > El Niño Highest leaching and lowest F6 N N leached (kg/ha) N uptake (kg/ha) Standard Deviation for uptake and leached N are in parenthesis Treatments and N rates : 8 = ; 9 = ; 12 = ; 13 = ; 14 = and 15 =

AWDR  10 days pre-sidress N & 20 day post-sidress N AWDR: Abundant and well distributed rainfall

Precision Agriculture: Nitrogen Use Efficency Advancing Science & Technology Precision Ag technologies simultaneously enhance production efficiency and environmental stewardship. AL_Prec_Ag Alabama Precision Ag Online 18 Brenda V. Ortiz

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