Agronomy Journal Grow Your Career With ASA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 1 September 2008
Published in Agron J 100:1221-1229 (2008)
DOI: 10.2134/agronj2007.0273
© 2008 American Society of Agronomy
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Google Scholar
Right arrow Articles by Hernandez, J. A.
Right arrow Articles by Mulla, D. J.
PubMed
Right arrow Articles by Hernandez, J. A.
Right arrow Articles by Mulla, D. J.
Agricola
Right arrow Articles by Hernandez, J. A.
Right arrow Articles by Mulla, D. J.
Related Collections
Right arrow Nitrogen
Right arrow Nutrient Management
Right arrow Soil Fertility and Productivity
Right arrow Statistics

STATISTICS

Estimating Uncertainty of Economically Optimum Fertilizer Rates

Jose A. Hernandez* and David J. Mulla

Dep. of Soil, Water, and Climate, Univ. of Minnesota, 1991 Upper Buford Circle, Saint Paul, MN 55108. Contribution of the Precision Agriculture Center, Univ. of Minnesota

* Corresponding author (jahernan{at}umn.edu).

Optimal N fertilization in agricultural production is necessary to achieve both economical success and to minimize nitrate transport to surface and subsurface waters. The degree of uncertainty associated with economically optimum fertilizer rate (EOR) estimation is generally overlooked, and there are no standard procedures to calculate confidence intervals (CIs) of EORs. In this paper, we present methodologies for the estimation of CIs around ex post EORs. We review four CI methods and illustrate the procedures with a sample dataset consisting of five sites, showing computations involved. Ranges in CIs about the EOR values for sites 1 through 5 (averaged across CI methods) were 15.8, 59.9, 41.7, 62.1, and 203.6 kg N ha–1, respectively. Ranges in the 90% CI of EOR values at sites 2 to 5 were quite large relative to EOR values themselves, ranging from 29 to 106% of EOR values. Classical symmetrical CIs were not adequate for economical optima of fertilizer response curves. Wald CIs as compared with profile-likelihood based CIs tended to overestimate the lower bound and underestimate the upper bound of the EOR CI. Profile-likelihood based CIs provide a superior, computationally viable methodology for EOR uncertainty estimation in nonlinear fertilizer response models. The bootstrap CI methodologies showed great potential to evaluate the uncertainty of EORs. When compared with the profile-likelihood based CIs in our experimental areas, both bootstrapped CIs were likely to give comparable estimates for the lower bound of the CIs. The upper bounds were similar to or lower than the likelihood-based CIs. In all locations these distribution-free CIs performed better than the classical symmetrical Wald CI.

Abbreviations: BCa, bias-corrected and accelerated • CI, confidence interval • EOR, economically optimum fertilizer rate • MRTN, maximum return to nitrogen • Y0N, yield at 0 kg nitrogen ha–1 • YEOR, yield at economically optimum fertilizer rate

All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher.

Received for publication August 15, 2007.





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Crop Science Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2008 by the American Society of Agronomy.