Long-term Optimum Nitrogen Rate for Corn Yield and Soil Organic Matter

IPNI-2008-CAN-ON29

This project began with a uniformity trial conducted in 2008 at Elora, Ontario. Long-term and short-term N rate treatments commence in 2009. Objectives Assess short-term and long-term effects of N in maize production on productivity, environmental impact, profitability, and cropping system sustainability. Read more


Year of initiation:2008
Year of completion:?
Map:

Interpretive Summary

Decisions on optimum nitrogen (N) rates are often made on the basis of single-year responses. Data are limited on the long-term impact on productivity and soil organic matter using fertilizer application rates higher or lower than these short-term optima. This controlled experiment was designed as a base for testing the application of dynamic soil-crop-atmosphere models as predictors of N rates for corn that optimize sustainability.

Decisions on optimum nitrogen (N) rates are often made on the basis of single-year responses. Data are limited on the long-term impact on productivity and soil organic matter using fertilizer application rates higher or lower than these short-term optima. This controlled experiment was designed as a base for testing the application of dynamic soil-crop-atmosphere models as predictors of N rates for corn that optimize sustainability.

Decisions on optimum N rates are often made on the basis of single-year responses. Data are limited on the long-term impact on productivity and soil organic matter of rates higher or lower than these short-term optima. This controlled experiment was designed as a base for testing the application of dynamic soil-crop-atmosphere models as predictors of N rates for corn that optimize sustainability.

Decisions on optimum N rates are often made on the basis of single-year responses. Data are limited on the long-term impact on productivity and soil organic matter of rates higher or lower than these short-term optima. This controlled experiment was designed as a base for testing the application of dynamic soil-crop-atmosphere models as predictors of N rates for corn that optimize sustainability.

Decisions on optimum N rates are often made on the basis of single-year responses. Data are limited on the long-term impact on productivity and soil organic matter of rates higher or lower than these short-term optima. This controlled experiment was designed as a base for testing the application of dynamic soil-crop-atmosphere models as predictors of N rates for corn that optimize sustainability.

Decisions on optimum N rates are often made on the basis of single-year responses. Data are limited on the long-term impact on productivity and soil organic matter of rates higher or lower than these short-term optima. This controlled experiment was designed as a base for testing the application of dynamic soil-crop-atmosphere models as predictors of N rates for corn that optimize sustainability.

Decisions on optimum N rates are often made on the basis of single-year responses. Data are limited on the long-term impact on productivity and soil organic matter of rates higher or lower than these short-term optima. This controlled experiment was designed as a base for testing the application of dynamic soil-crop-atmosphere models as predictors of N rates for corn that optimize sustainability.

Decisions on optimum N rates are often made on the basis of single-year responses. Data are limited on the long-term impact on productivity and soil organic matter of rates higher or lower than these short-term optima. This controlled experiment was designed as a base for testing the application of dynamic soil-crop-atmosphere models as predictors of N rates for corn that optimize sustainability.

Decisions on optimum N rates are often made on the basis of single-year responses. Data are limited on the long-term impact on productivity and soil organic matter of rates higher or lower than these short-term optima. This controlled experiment was designed as a base for testing the application of dynamic soil-crop-atmosphere models as predictors of N rates for corn that optimize sustainability.

Decisions on optimum N rates are often made on the basis of single-year responses. Data are limited on the long-term impact on productivity and soil organic matter of rates higher or lower than these short-term optima. This controlled experiment was designed as a base for testing the application of dynamic soil-crop-atmosphere models as predictors of N rates for corn that optimize sustainability.

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Updates & Reports

2015

2015 Annual Report

2013

2013 Annual Report

2012

2012 Annual Report

2008

Project Description


Publications

cover
Optimal Rates for Corn Nitrogen Depend More on Weather than Price Bill Deen, Ken Janovicek, John Lauzon, and Tom Bruulsema
Better Crops With Plant Food
2015-2, page #16

Project Leader

Bill Deen, University of Guelph


Project Cooperators

John Lauzon, Department of Land Resource Science
Greg Stewart, Ontario Ministry of Agriculture, Food and Rural Affairs


IPNI Staff

T. Bruulsema


Location

Americas \ Northern America \ CAN \ Ontario


Topics

4r rate, 4r time, soil fertility and productivity

Nitrogen (N)