Agronomy Journal Journal of Natural Resources and Life Sciences Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 1 March 1997
Published in Agron J 89:201-207 (1997)
© 1997 American Society of Agronomy
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
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
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Sinclair, T. R.
Right arrow Articles by Monteith, J. L.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Sinclair, T. R.
Right arrow Articles by Monteith, J. L.
Agricola
Right arrow Articles by Sinclair, T. R.
Right arrow Articles by Monteith, J. L.

Model Analysis of Sorghum Response to Nitrogen in Subtropical and Tropical Environments

Thomas R. Sinclair*, Russell C. Muchow and John L. Monteith

USDA-ARS, Agronomy Dep., Agronomy Physiology Lab., Bldg. 164, Univ. of Florida, P.O. Box 110840, Gainesville, FL 32611-0840
Cunningham Lab., Div. of Tropical Crops and Pastures, 306 Carmody Rd., St. Lucia, Brisbane, QLD 4067, Australia
Inst. of Terrestrial Ecology, Edinburgh Res. Stn., Bush Estate, Penicuik, Modlothian, EH26 0QB, Scotland, UK

* Corresponding author (aksch{at}gnv.ifas.ufl.edu).

Nitrogen fertilization is important in achieving high sorghum [Sorghum bicolor (L.) Moencb] yields. Under semiarid conditions, however, the response to N is confounded by seasonal differences in water availability. A simple, mechanistic model was developed to interpret measurements of the growth and yield of sorghum at different levels of N and water supply. The structure of the sorghum-N model was equivalent to a previously developed maize-N (Zea mays L.) model, including the N uptake function, which depends on thermal units. The sorghum-N model was developed considering experimental results obtained in the tropical clinhate of Katherine, Australia. After adjusting coefficients to describe leaf and grain development for sorghum instead of maize, the model simulated crop N uptake, growth, and grain yield. Without any further changes in the model, sorghum grown in the subtropical climate of Lawes, Australia, with grain yields ranging from 121 to 886 g m–2, was well simulated by the model. A third set of data obtained in an irrigation-N application experiment at Hyderabad, India, was compared against model results. After adjusting the coefficients that describe the development of the cuitivar and the soil organic content at this location, the model produced results comparable to experimental results. Analysis of the model results led to two interesting hypotheses concerning the experiment at Hyderabad: (i) the irrigation level of the well-watered treatment appeared to be inadequate to avoid drought stress at the end of the cropping season, and (ii) there was seemingly about 4 g N m–2 of s oil N unavailable to the crop in each of the irrigation treatments. Overall, the sorghum-N model proved useful in interpreting and analyzing field measurements of development, growth, and yield of sorghum grown under diverse conditions.

Received for publication June 3, 1996.


This article has been cited by other articles:


Home page
Agron. J.Home page
T. R. Sinclair and R. C. Muchow
System Analysis of Plant Traits to Increase Grain Yield on Limited Water Supplies
Agron. J., March 1, 2001; 93(2): 263 - 270.
[Abstract] [Full Text] [PDF]




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 © 1997 by the American Society of Agronomy.