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


     


Published online 1 November 1995
Published in Agron J 87:1115-1121 (1995)
© 1995 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 Dale, R. F.
Right arrow Articles by Daniels, J. A.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Dale, R. F.
Right arrow Articles by Daniels, J. A.
Agricola
Right arrow Articles by Dale, R. F.
Right arrow Articles by Daniels, J. A.

A Weather-Soil Variable for Estimating Soil Moisture Stress and Corn Yield Probabilities

Robert F. Dale* and James A. Daniels

Dep. of Agronomy
NOAA, National Weather Service, Midwest Agric. Weather Service Ctr., Purdue Univ., West Lafayette, IN 47907

* Corresponding author.

Agricultural technology has increased crop yield potentials, but on rain-fed crops yields are still severely reduced with the normal climatic frequency of drought. Objectives were (1) to determine an interaction regression of county average corn (Zea mays L.) yield on a soil moisture stress variable and technology trend and (2) to estimate the probability of soil moisture stress and resulting average corn yield in Tippecanoe County, Indiana. The soil moisture stress variable (Sc) was the sum of modeled daily ratios of actual to potential evapotranspiration [{Sigma}(ET/PET)] over critical corn growth and development periods. The interaction regression model of corn yield on Sc and technology trend (T = year) for Tippecanoe County was associated with 70% of the variance in the 1961 to 1992 average county corn yields when Sc was a 90-d period (S90) from 39 d before corn silking to 50 d after. With no moisture stress (S90 = 90), the technology trend over the last 32 yr was 0.17 t ha–1 yr–1 (2.7 bu acre–1 yr–1). With 1992 technology, each deficit unit of S90 reduced the yield 0.19 t ha–1 (3.1 bu acre–1). The distributions of S90 and predicted corn yield were highly negatively skewed. The probability of having an S90 less than 85 (at least some moisture stress), and a county corn yield less than 9.5 t ha–1 (152 bu acre–1) is 69%, but the probability of severe stress (S90 < 75) and corn yield less than 7.5 ± 0.8 t ha–1 (139 ± 13 bu acre–1) is 22%. For the same weather regime, the probability of moisture stress and resulting corn yields differs greatly for individual soils. For a poorly drained soil (Typic Argiaquoll) the probability of having an S90 less than 85 is 4l%, but for a well-drained soil (Typic Argiudoll) the probability is 90%.


Contribution of Indiana Agric. Exp. Stn. J. 14215.

Received for publication June 6, 1994.


This article has been cited by other articles:


Home page
Soil Sci.Home page
L. R. Ahuja, L. Ma, and D. J. Timlin
Trans-Disciplinary Soil Physics Research Critical to Synthesis and Modeling of Agricultural Systems
Soil Sci. Soc. Am. J., February 2, 2006; 70(2): 311 - 326.
[Abstract] [Full Text] [PDF]


Home page
Soil Sci.Home page
C. L. S. Morgan, J. M. Norman, and B. Lowery
Estimating Plant-Available Water Across a Field with an Inverse Yield Model
Soil Sci. Soc. Am. J., March 1, 2003; 67(2): 620 - 629.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
F. Jeutong, K.M. Eskridge, W.J. Waltman, and O.S. Smith
Comparison of Bioclimatic Indices for Prediction of Maize Yields
Crop Sci., November 1, 2000; 40(6): 1612 - 1617.
[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 © 1995 by the American Society of Agronomy.