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The Climatic Sensitivity of ‘Green Revolution’ Wheat Culture in Sonora, Mexico

Published online by Cambridge University Press:  24 August 2009

Patrick J. Michaels
Affiliation:
Center for Climatic Research, Institute for Environmental Studies, University of Wisconsin at Madison, 1225 West Dayton Street, Madison, Wisconsin 53706, USA; present address State Climatologist, Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia 22903, USA.

Extract

A statistical model was developed to assess the effects of interannual climatic variability on wheat yields in Sonora, Mexico, where the high-yielding variety (HYV) agricultural ‘package’ was first developed. The approach taken was necessary because of the lack of suitable ‘dynamic’ formulations. The climatic terms in the model—transformed monthly mean temperature and precipitation values—explain almost 37% of the variance in the yield time-series, after allowing for the simultaneously generated base and trend values. This figure is somewhat less than that in similar formulations for North American wheat, where the climatic and yield data may be more reliable.

The yields are most sensitive to preplanting moisture input, when the irrigation system is being recharged, and to March temperature, when fertilization can be reduced by heat. The yield response to these two variables was found to increase significantly as more HYV agriculture is adopted. Increases are over twofold for the precipitation term, and nearly threefold for the temperature variable.

A variety of arguments suggests that the results truly indicate an increased climatic sensitivity in the yieldresponse, although the formulation is incapable of discriminating between sensitivities that are purely ‘genetic’, and those associated with the cultural practices which the genetic change allows to be established. When impacts upon the consuming population are considered, the distinction between the two becomes somewhat less important.

Type
Main Papers
Copyright
Copyright © Foundation for Environmental Conservation 1981

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References

REFERENCES

Brown, L. R. with Eckholm, E. P. (1974). By Bread Alone. Praeger, New York, NY, USA: 272 pp.Google Scholar
Centro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT) (1974). CIMMYT Report on Wheat Improvement, 1974. CIMMYT, Mexico D.F., Mexico: 162 pp.Google Scholar
Climate/Food Research Group (1975). A detailed model of the production and consumption of spring wheat in the United States. Institute for Environmental Studies Report No. 49, University of Wisconsin-Madison, USA: 103 pp.Google Scholar
Diaz, H. F. & Quayle, R. G. (1980). The climate of the United States since 1895: Spatial and temporal changes. Mo. Wea. Rev., 108, pp. 249–66.Google Scholar
Draper, N. R. & Smith, H. (1966). Applied Regression Analysis. Wiley, New York, NY, USA: 407 pp.Google Scholar
Evans, L. T. (1980). The natural history of crop yield. Amer. Sci., 68, pp. 388–97.Google Scholar
Garcia, E. (1976). Unpublished climatic data for Sonoia, Mexico, 1969–1975. [Should be obtainable from Author of this paper.]Google Scholar
Hastings, J. R. & Humphrey, R. R. (1969). Climatolbgical data and statistics for Sonora and northern Sinaloa. Technical Report 19, Institute of Atmospheric Physics, University of Arizona, Phoenix, USA: 99 pp.Google Scholar
Luttrell, C. B. & Gilbert, R. A. (1976). Crop yields: Random, cyclical or bunchy? Amer. J. Agric. Econ., 58, pp. 521–31.Google Scholar
McQuigg, J. D. (1975). Economic Impacts of Weather Variability. University of Missouri, Department of Atmospheric Science, Columbia, Missouri, USA: 256 pp.Google Scholar
Michaels, P. J. (1977). A predictive model for wheat production in Sonora, Mexico. Institute for Environmental Studies Report No. 73, University of Wisconsin-Madison, USA: 17 pp.Google Scholar
Michaels, P. J. (1978). A predictive model for winter wheat yield in the United States Great Plains. Institute for Environmen tal Studies Report No. 94, University of Wisconsin-Madison, USA: 40 pp.Google Scholar
Phinney, D. E. et al. (1979). Accuracy and performance characteristics of LACIE yield estimates. Pp. 5960 in Proc. 14th Conf. on Ag. and For. Met., American Meteorological Society, Boston, Massachusetts, USA. [Not available for checking.]Google Scholar
Schneider, S. H. with Mesirow, L. E. (1976). The Genesis Strategy. Plenum, New York, NY, USA: 419 pp.CrossRefGoogle Scholar
Thompson, L. M. (1969). Weather and technology in the production of corn in the US Corn Belt. Agron. J., 62, pp. 453–6.CrossRefGoogle Scholar
Thompson, L. M. (1970). Weather and technology in the production of soybeans in the Central United States. Agron. J., 63, pp. 232–6.Google Scholar
United States Department of Agriculture (1980), Foreign Agriculture Circular. US Govt Printing Office, Washington, DC, USA: [not available for checking].Google Scholar
Wellhausen, E. H. (1976). The agriculture of Mexico. Sci. Amer., 226, pp. 130–49.Google Scholar