scholarly journals Coronavirus Impacts on Midwestern Row‐Crop Agriculture

Author(s):  
Gary D. Schnitkey ◽  
Nicholas D. Paulson ◽  
Scott H. Irwin ◽  
Jonathan Coppess ◽  
Bruce J. Sherrick ◽  
...  
Keyword(s):  
Row Crop ◽  
1994 ◽  
Vol 9 (4) ◽  
pp. 171-177 ◽  
Author(s):  
Mohammadreza Ghaffarzadeh ◽  
Fernando García Préchac ◽  
Richard M. Cruse

AbstractConventional Midwestern U.S. row crop agriculture has created significant environmental problems and made the farm economy reliant on government subsidies. Environmentally friendly and economically profitable alternatives are badly needed. This study addresses production characteristics of strip intercropping, a system that may meet both requirements. Two experiments were conducted in 1989 and 1990: one on a cooperating farmer's field with ridge tillage and the second at a university research farm with conventional tillage. The objective was to evaluate grain yields of different rows in adjoining strips (3.8 or 4.6 m wide) of three crops. Corn, soybean, and oat strips were either inter seeded with nondormant alfalfa or seeded with hairy vetch as a cover crop after oat grain harvest. Outside corn rows had significantly higher yields than center rows in 1990, when plant water stress was low, but under dry conditions in 1989, early season competition for water caused corn to yield less in the row bordering oat than in the row bordering soybean. Comparative soybean yields in border and center rows also depended on rainfall; with adequate water, soybean yield next to the oat strip was greater than or equal to yield in the center of the strip. Oat border rows yielded higher than those in the oat strip center. Timing differences in crop life cycles and water availability seem to influence how these crop species interact, particularly at the border positions. Overall, the strip intercropping system seems a suitable alternative to current practices.


2021 ◽  
Author(s):  
Navid Jadidoleslam ◽  
Brian K Hornbuckle ◽  
Witold F. Krajewski ◽  
Ricardo Mantilla ◽  
Michael H. Cosh

L-band microwave satellite missions provide soil moisture information potentially useful for streamflow and hence flood predictions. However, these observations are also sensitive to the presence of vegetation that makes satellite soil moisture estimations prone to errors. In this study, the authors evaluate satellite soil moisture estimations from SMAP (Soil Moisture Active Passive) and SMOS (Soil Moisture Ocean Salinity), and two distributed hydrologic models with measurements from in~situ sensors in the Corn Belt state of Iowa, a region dominated by annual row crops of corn and soybean. First, the authors compare model and satellite soil moisture products across Iowa using in~situ data for more than 30 stations. Then, they compare satellite soil moisture products with state-wide model-based fields to identify regions of low and high agreement. Finally, the authors analyze and explain the resulting spatial patterns with MODIS (Moderate Resolution Imaging Spectroradiometer) vegetation indices and SMAP vegetation optical depth. The results indicate that satellite soil moisture estimations are drier than those provided by the hydrologic model and the spatial bias depends on the intensity of row-crop agriculture. The work highlights the importance of developing a revised SMAP algorithm for regions of intensive row-crop agriculture to increase SMAP utility in the real-time streamflow predictions.


2012 ◽  
Vol 154 ◽  
pp. 44-55 ◽  
Author(s):  
Gregorio I. Gavier-Pizarro ◽  
Noelia C. Calamari ◽  
Jeffrey J. Thompson ◽  
Sonia B. Canavelli ◽  
Laura M. Solari ◽  
...  

2005 ◽  
Vol 69 (3) ◽  
pp. 1099-1111 ◽  
Author(s):  
TODD J. BRINKMAN ◽  
CHRISTOPHER S. DEPERNO ◽  
JONATHAN A. JENKS ◽  
BRIAN S. HAROLDSON ◽  
ROBERT G. OSBORN
Keyword(s):  
Row Crop ◽  

2008 ◽  
Vol 112 (2) ◽  
pp. 576-587 ◽  
Author(s):  
Gillian L. Galford ◽  
John F. Mustard ◽  
Jerry Melillo ◽  
Aline Gendrin ◽  
Carlos C. Cerri ◽  
...  

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