Estimating Uncertainty of Economically Optimum N Fertilizer Rates

Nitrogen rate trials are often performed to determine the economically optimum N application rate. For this purpose, the yield is modeled as a function of the N application. The regression analysis is commonly used to estimate the modeled functions and the economic optimum rate, 𝑁opt. However, compu...

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Main Authors: Martin Bachmaier, Markus Gandorfer
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:International Journal of Agronomy
Online Access:http://dx.doi.org/10.1155/2012/580294
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author Martin Bachmaier
Markus Gandorfer
author_facet Martin Bachmaier
Markus Gandorfer
author_sort Martin Bachmaier
collection DOAJ
description Nitrogen rate trials are often performed to determine the economically optimum N application rate. For this purpose, the yield is modeled as a function of the N application. The regression analysis is commonly used to estimate the modeled functions and the economic optimum rate, 𝑁opt. However, computer programs do not calculate confidence intervals for 𝑁opt derived from quadratic yield response model or other commonly used models. The objective was to develop a method for computing and interpreting confidence intervals for 𝑁opt. These confidence intervals can be estimated using an online program VINO.EXE. For the N rate trials on the experimental field Sieblerfeld (Bavaria), confidence intervals were computed for a range of wheat and N fertilizer prices and for selected N rates for quadratic and linear plateau models. The latter concerns the comparison with confidence intervals based upon the linear-plus-plateau yield regression model. All intervals were found to be unexpectedly wide and their ranges were affected by N rates used in the calculations and by the choice of yield response model.
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spelling doaj-art-c2f8c42209474f77842cbe52afddb35a2025-08-20T02:19:04ZengWileyInternational Journal of Agronomy1687-81591687-81672012-01-01201210.1155/2012/580294580294Estimating Uncertainty of Economically Optimum N Fertilizer RatesMartin Bachmaier0Markus Gandorfer1Center of Life Sciences, Technische Universität München, Weihenstephan, 85354 Freising, GermanyCenter of Life Sciences, Technische Universität München, Weihenstephan, 85354 Freising, GermanyNitrogen rate trials are often performed to determine the economically optimum N application rate. For this purpose, the yield is modeled as a function of the N application. The regression analysis is commonly used to estimate the modeled functions and the economic optimum rate, 𝑁opt. However, computer programs do not calculate confidence intervals for 𝑁opt derived from quadratic yield response model or other commonly used models. The objective was to develop a method for computing and interpreting confidence intervals for 𝑁opt. These confidence intervals can be estimated using an online program VINO.EXE. For the N rate trials on the experimental field Sieblerfeld (Bavaria), confidence intervals were computed for a range of wheat and N fertilizer prices and for selected N rates for quadratic and linear plateau models. The latter concerns the comparison with confidence intervals based upon the linear-plus-plateau yield regression model. All intervals were found to be unexpectedly wide and their ranges were affected by N rates used in the calculations and by the choice of yield response model.http://dx.doi.org/10.1155/2012/580294
spellingShingle Martin Bachmaier
Markus Gandorfer
Estimating Uncertainty of Economically Optimum N Fertilizer Rates
International Journal of Agronomy
title Estimating Uncertainty of Economically Optimum N Fertilizer Rates
title_full Estimating Uncertainty of Economically Optimum N Fertilizer Rates
title_fullStr Estimating Uncertainty of Economically Optimum N Fertilizer Rates
title_full_unstemmed Estimating Uncertainty of Economically Optimum N Fertilizer Rates
title_short Estimating Uncertainty of Economically Optimum N Fertilizer Rates
title_sort estimating uncertainty of economically optimum n fertilizer rates
url http://dx.doi.org/10.1155/2012/580294
work_keys_str_mv AT martinbachmaier estimatinguncertaintyofeconomicallyoptimumnfertilizerrates
AT markusgandorfer estimatinguncertaintyofeconomicallyoptimumnfertilizerrates