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Identifying suitable regions for amaranth production using a geographic information systems approach

Published online by Cambridge University Press:  30 October 2009

Robert L. Myers
Affiliation:
Assistant Professor, Department of Agronomy, University of Missouri, Columbia, MO 65211.
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Abstract

Amaranth is an alternative grain crop that shows significant promise in the U.S. A geographic information system (GIS) was used to analyze the most suitable regions for growing amaranth in Missouri. GIS software provides tools to manipulate and display geographically based information, in this case the factors affecting amaranth's suitability. Of several such factors considered, the ones used were soils, rainfall, sorghum production, disease potential, and labor availability. Soil, rainfall, and disease information were assumed to be direct factors in yield potential. Current sorghum production areas were considered likely areas for amaranth production, given the similarities between the crops. Labor availability also was assumed to affect adoption, since amaranth requires more labor than traditional grain crops. The analysis showed that central and southeastern Missouri would be the most favorable areas for amaranth production. Other suitable areas are along the Mississippi and Missouri river valleys and in western Missouri. This GIS approach can be modified to include additional factors and refinements, and could be used with other alternative crops or for other regions of the country.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1994

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References

1.Bjerklie, D. 1989. The electronic transformation of maps. Technology Review (Massachusetts Institute of Technology), 04, pp. 5462.Google Scholar
2.Brooker, J.R., and Gray, M.D.. 1990. Identification of vegetable growing areas in Tennessee from computer-generated maps based on geographic information systems. Tennessee Farm and Home Science. No. 153 (Winter). Univ. of Tennessee Agric. Exp. Station, Knoxville. pp. 49.Google Scholar
3.Environmental Systems Research Institute. 1990. Understanding GIS: The ARC/INFO Method. Redlands, California.Google Scholar
4.Lehmann, J.W. 1990. Potential of grain amaranths in the 1990's and beyond. In Proceedings of the Fourth National Amaranth Symposium: Perspectives on Production, Processing, and Marketing, Minneapolis, Minnesota, pp. 117.Google Scholar
5.Myers, R.L., and Putnam, D.H.. 1988. Growing grain amaranth as a specialty crop. AG-FS-3458. Univ. of Minnesota Extension Service, St. Paul.Google Scholar
6.Nielsen, G.A., Caprio, J.M., McDaniel, P.A., Snyder, R.D., and Montagne, C.. 1990. MAPS: A GIS for land resource management in Montana. J. Soil and Water Conservation 45:450453.Google Scholar
7.Peuquet, D.J., and Marble, D.F.. 1990. ARC/INFO: An example of a contemporary geographic information system. In Peuquet, D.J. and Marble, D.F. (eds). Introductory Readings in Geographic Information Systems. Taylor and Francis, New York, N.Y. pp. 3554.CrossRefGoogle Scholar
8.Tan, Y.R., and Shih, S.F.. 1990. GIS in monitoring agricultural land use changes and well assessment. Trans. Amer. Soc. Agric. Engineers 33:1147– 1152.CrossRefGoogle Scholar
9.Tomlinson, R.F. 1990. Geographic information systems — a new frontier. In Peuquet, D.J. and Marble, D.F. (eds). Introductory Readings in Geographic Information Systems. Taylor and Francis, New York, N.Y. pp. 112136.Google Scholar
10.U.S. Dept. of Agriculture. 1979. Missouri general map and soil association descriptions. Soil Conservation Service, Columbia, Missouri.Google Scholar
11.U.S. Dept. of Commerce. 1986. City-County Data Book. Bureau of the Census, Washington, D.C.Google Scholar