JEQ
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 25 January 2007
Published in J Environ Qual 36:354-362 (2007)
DOI: 10.2134/jeq2006.0173
© 2007 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Abstract Freely available
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
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 Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hong, N.
Right arrow Articles by Sudduth, K. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hong, N.
Right arrow Articles by Sudduth, K. A.
Agricola
Right arrow Articles by Hong, N.
Right arrow Articles by Sudduth, K. A.
Related Collections
Right arrow Ground Water Quality
Right arrow Nitrogen

Economically Optimal Nitrogen Rate Reduces Soil Residual Nitrate

Nan Honga,*, Peter C. Scharfa, J. Glenn Davisb, Newell R. Kitchenc and Kenneth A. Sudduthc

a Div. of Plant Science, Univ. of Missouri, Columbia, MO 65211
b USDA-NRCS, Columbia, MO 65203
c USDA-ARS, Cropping Syst. and Water Quality Res. Unit, Columbia, MO 65211


Figure 1
View larger version (25K):
[in this window]
[in a new window]

 
Fig. 1. Locations of the six different producers' fields in Missouri where experiments were conducted.

 

Figure 2
View larger version (35K):
[in this window]
[in a new window]

 
Fig. 2. Daily precipitation in 2000 and 2001 for the three soil regions (CP = claypan, DL = deep loess, MD = Mississippi delta). The symbol {sum} represents the total precipitation during the study period for each region.

 

Figure 3
View larger version (12K):
[in this window]
[in a new window]

 
Fig. 3. Economically optimal N rate distributions for the sites where residual soil NO3–N was sampled in the six experimental fields. In the field abbreviations on the x axis, CP = claypan soil region, DL = deep loess soil region, MD = Mississippi delta soil region, 00 = 2000, and 01 = 2001.

 

Figure 4
View larger version (12K):
[in this window]
[in a new window]

 
Fig. 4. The frequency distributions of the {Delta}EONR for the sampled treatments in six experimental fields. The {Delta}EONR is the difference between the total N applied and economically optimal N rate (EONR).

 

Figure 5
View larger version (29K):
[in this window]
[in a new window]

 
Fig. 5. Plateau-linear response functions describing the response of the post-harvest residual soil NO3–N content within a 0.9-m depth to the {Delta}EONR in the six experimental fields. The {Delta}EONR is the difference between the total N applied and economically optimal N rate (EONR). Location abbreviations are CP = claypan soil region, DL = deep loess soil region, MD = Mississippi delta soil region, 00 = 2000, and 01 = 2001.

 

Figure 6
View larger version (17K):
[in this window]
[in a new window]

 
Fig. 6. Comparisons of the post-harvest residual soil NO3–N (RSN) content for different sample classes via the box-and-whiskers diagram. The upper and lower limits of each box signify the 25th and 75th percentiles for the RSN, the horizontal line in the center of the box indicates the median, the "+" sign in each box indicates the mean, and the "whiskers" or arms represent the full range of the RSN observed in each class. The {Delta}EONR is the difference between the total N applied and economically optimal N rate (EONR). Different letters above the upper limits of each box indicate mean significance differences at the 0.05 probability level. The sample size of each class is given below the lower limits of each box. The class with {Delta}EONR = 0 contains one value from each field, which was estimated from the plateau-linear function shown in Fig. 5. All other classes consist of observations classed from individual plot samples.

 





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Journal of Natural Resources
and Life Sciences Education
Vadose Zone Journal
Soil Science Society of America Journal Journal of Plant Registrations The Plant Genome
Copyright © 2007 by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America.