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A method for calculating the population/yield relations of groundnut (Arachis hypogaea) in semi-arid climates

Published online by Cambridge University Press:  27 March 2009

S. N. Azam-Ali
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO, Andhra Pradesh 502324, India
R. C. Nageswara Rao
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO, Andhra Pradesh 502324, India
J. Craigon
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO, Andhra Pradesh 502324, India
K. D. R. Wadia
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO, Andhra Pradesh 502324, India
J. H. Williams
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru PO, Andhra Pradesh 502324, India

Summary

Between 1980 and 1986, six field experiments were conducted to investigate the relations between planting density, total dry matter and pod yield of groundnut (Arachis hypogaea L. cv. TMV2) grown at different levels of irrigation and rainfall at two sites in central India. In general, the relationship between total dry matter and planting density for most treatments was well described by the function:

where W is the crop dry weight per unit ground area, wm is the maximum weight per plant, Wm is the maximum crop weight per unit ground area and P is the plant population. Because the harvest index, h, was constant for each treatment irrespective of plant population, a similar equation described the relationship between pod yield and planting density. When nine of the eleven treatments planted in a square (i.e. 1:1) arrangement were compared, the asymptotic value Wm varied between treatments depending on available soil water and atmospheric demand. To quantify the effects of plant and environmental factors on crop productivity, a ‘transpiration equivalent’ (ωw; (g/kg)/kPa), i.e. the product of the dry matter/water ratio and mean seasonal saturation deficit D, was used as a crop constant to calculate productivity at each site or season from a knowledge of seasonal rainfall and/or irrigation and soil water-holding capacity. Thus, total crop productivity, W'8, was calculated using the equation W'8 = ωwS/D where S (mm) is a soil supply term dependent on soil water-holding capacity and monthly values of rainfall and/or irrigation. When values for Wm and W'8 were plotted against each other, a linear regression was obtained with a slope = 1·02 (R2 = 0·78). The mean harvest index of 0·38 was used to predict pod yield from a knowledge of W'8. It was concluded that of all the climatic, soil and management factors that influence crop growth in semi-arid situations, it is the interaction between the supply of and demand for water that ultimately determines total productivity, pod yield and optimum plant population.

Type
Crops and Soils
Copyright
Copyright © Cambridge University Press 1993

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References

REFERENCES

Azam-Ali, S. N., Crout, N. M. J. & Bradley, R. G. (1993). Perspectives in modelling resource capture by crops. In Resource Capture by Crops, Proceedings of the University of Nottingham 52nd Easter School, 30 March to 2 April, 1992 (Eds Monteith, J. L., Scott, R. K. & Unsworth, M. H.).Google Scholar
Bell, M. J., Muchow, R. C. & Wilson, G. L. (1987). The effect of plant population on peanuts (Arachis hypogaea) in a monsoonal tropical environment. Field Crops Research 17, 91107.Google Scholar
Box, G. E. P. & Cox, D. R. (1964). An analysis of transformations. Journal of the Statistical Society, series B, 26, 211243.Google Scholar
Gardner, F. P. & Auma, E. O. (1989). Canopy structure, light interception, and yield and market quality of peanut genotypes as influenced by planting pattern and planting date. Field Crops Research 20, 1329.Google Scholar
Holliday, R. (1960). Plant population and crop yield. Nature, London 186, 2224.CrossRefGoogle Scholar
Jones, M. J. (1987). Plant population, rainfall and sorghum production in Botswana. I. Results of experiment station trials. Experimental Agriculture 23, 335347.CrossRefGoogle Scholar
Matthews, R. B., Harris, D., Nageswara Rao, R. C., Williams, J. H. & Wadia, K. D. R. (1988). The physiological basis for yield differences between four genotypes of groundnut (Arachis hypogaea) in response to drought. I. Dry matter production and water use. Experimental Agriculture 24, 191202.CrossRefGoogle Scholar
Mead, R. (1970). Plant density and crop yield. Applied Statistics 19, 6481.Google Scholar
Monteith, J. L. (1986). How do crops manipulate water supply and demand? Philosophical Transactions of the Royal Society of London A 316, 245259.Google Scholar
Myers, R. J. K. & Foale, M. A. (1980). Row spacing and population density in Australian grain sorghum production. Journal of the Australian Institute of Agricultural Science 46, 214220.Google Scholar
Rawlings, J. O. (1988). Applied Regression Analysis (a Research Tool). California: Wadsworth & Brooks/Cole.Google Scholar
Shinozaki, K. & Kira, T. (1956). Interspecific competition among higher plants VII. Logistic theory of the C-D effect. Journal of the Institute of the Polytechnic of Osaka City University D7, 3572.Google Scholar
Squire, G. R. (1990). A Physiology of Tropical Crop Production. Wallingford, UK: CAB International.Google Scholar
Vaux, H. J. & Pruitt, W. O. (1983). Crop-water production functions. In Advances in Irrigation (Ed. Kozlowski, T. T.), pp. 6197. New York: Academic Press.Google Scholar
Wade, L. J. & Foreman, J. W. (1988). Density × maturity interactions for grain yield in sunflower. Australian Journal of Experimental Agriculture 28, 623627.Google Scholar
Willey, R. W. & Heath, S. B. (1969). The quantitative relationships between plant population and crop yield. Advances in Agronomy 21, 281321.Google Scholar