283-11 Evaluation of Four Different Simulation Models for Nitrogen Side-Dress Application On Maize (Zea Mays L.).

Poster Number 2209

See more from this Division: SSSA Division: Soil Fertility & Plant Nutrition
See more from this Session: Soil Fertility and Plant Nutrition Division and Nutrient Management and Soil and Plant Analysis Division Graduate Student Poster Competition (PhD degree)

Tuesday, November 5, 2013
Tampa Convention Center, East Exhibit Hall

Bee Khim Chim1, Wade E. Thomason2, Kiran Pavuluri3, Robert B. Norris4 and Justin R. Jones3, (1)2923 Medary Avenue, USDA-ARS, Brookings, SD
(2)School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA
(3)Virginia Tech, Blacksburg, VA
(4)Crop and Soil Environmental Sciences, Virginia Tech, Blacksburg, VA
Abstract:
Nitrogen fertilizer has been synthetically produced to nourish plants, increase yield and improve harvest quality. One of the way to increase NUE is called split application which is apply portion of N fertilizer from the beginning and apply another portion during vegetative stage. Improving accuracy of corn side dress N rate recommendations can improve profitability and reduce potential negative environmental impacts of over fertilization.  The objective of this experiment is to compare yield and NUE of side-dress rates prescribed by: 1) the Virginia Corn Algorithm; 2) the Maize-N computer simulation model; and 3) the Nutrient Expert for Maize computer simulation model to the standard rate growers would currently apply.  Four field experiments were established in 2012 and 2013 with 4 replications in a randomized complete block design. Treatments evaluated included a complete factorial of four different pre-plant rates (0, 44.8, 89.6 and 134.4 kg ha-1) with the three different simulation model-prescribed rates and the standard rate. Expected results are using Nutrient expert has applied lesser N side-dress compare to others.

See more from this Division: SSSA Division: Soil Fertility & Plant Nutrition
See more from this Session: Soil Fertility and Plant Nutrition Division and Nutrient Management and Soil and Plant Analysis Division Graduate Student Poster Competition (PhD degree)