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Site‐Specific Management Zones Based on Soil Electrical Conductivity in a Semiarid Cropping System

Authors :
Johnson, Cinthia K.
Mortensen, David A.
Wienhold, Brian J.
Shanahan, John F.
Doran, John W.
Source :
Agronomy Journal; March 2003, Vol. 95 Issue: 2 p303-315, 13p
Publication Year :
2003

Abstract

Site‐specific management (SSM) can potentially improve both economic and ecological outcomes in agriculture. Effective SSM requires strong and temporally consistent relationships among identified management zones; underlying soil physical, chemical, and biological parameters; and crop yields. In the central Great Plains, a 250‐ha dryland experiment was mapped for apparent electrical conductivity (ECa). Eight fields were individually partitioned into four management zones based on equal ranges of deep (ECDP) and shallow (ECSH) ECa(approximately 0–30 and 0–90 cm depths, respectively). Previous experiments documented negative correlations between ECSHand soil properties indicative of productivity. The objectives of this study were to examine ECSHand ECDPrelationships with 2 yr of winter wheat (Triticum aestivumL.) and corn (Zea maysL.) yields and to consider the potential applications of ECa–based management zones for SSM in a semiarid cropping system. Within‐zone wheat yield means were negatively correlated with ECSH(r= −0.97 to −0.99) and positively correlated with ECDP(r= 0.79–0.97). Within‐zone corn yield means showed no consistent relationship with ECSHbut positive correlation with ECDP(r= 0.81–0.97). Equal‐range and unsupervised classification methods were compared for ECSH; within‐zone yield variances declined slightly (0–5%) with the unsupervised approach. Yield response curves relating maximum wheat yields and ECSHrevealed a boundary line of maximum yield that decreased with increasing ECSH. In this semiarid system, ECSH–based management zones can be used in SSM of wheat for: (i) soil sampling to assess residual nutrients and soil attributes affecting herbicide efficacy, (ii) yield goal determination, and (iii) prescription maps for metering inputs.

Details

Language :
English
ISSN :
00021962 and 14350645
Volume :
95
Issue :
2
Database :
Supplemental Index
Journal :
Agronomy Journal
Publication Type :
Periodical
Accession number :
ejs51626018
Full Text :
https://doi.org/10.2134/agronj2003.3030