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Modelling the effects of sowing date and plant density on the yield and timing of development of Brussels sprouts (Brassica oleracea)

Published online by Cambridge University Press:  27 March 2009

P. J. C. Hamer
P. J. C. Hamer
Affiliation:
Silsoe Research Institute, Wrest Park, Silsoe, Bedford MK45 4HS, UK
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Summary

The effect of sowing date and plant density are modelled in relation to three variables: Ym, the maximum yield the crop can produce; τ, the interval from sowing to Yb/Ym = 0·5 where Yb is the yield of Brussels sprout buttons and Nb, the number of buttons on a plant stem. Ym is well related to the quantity of solar energy which the crop intercepts during the main period of growth. The fraction of radiation intercepted by the crop canopy is related to leaf area index (L) and sub-models relate L to sowing date and plant density. An empirically derived parameter relates the value of τ to thermal time and photoperiod time. The time course of Nb is modelled relative to the number of buttons at the end of the growing season. To overcome influence of site, variety and season, a generalized equation relates Nb, to plant density and a ‘known’ number of buttons at a specified planting density. The yield of buttons in specific size ranges (required for marketing) is described by a normal distribution with the standard deviation (σ) representing the spread of button diameter. There were no obvious effects of sowing date and plant density on σ. The model enables the effects of sowing date and plant density to be simulated using only simple and easily understood parameters. A sample simulation is presented.

Type
Crops and Soils
Information
The Journal of Agricultural Science , Volume 124 , Issue 2 , April 1995 , pp. 253 - 263
Copyright
Copyright © Cambridge University Press 1995

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References

Abuzeid, A. E. & Wilcockson, S. J. (1989). Effects of sowing date, plant density and year on growth and yield of Brussels sprouts (Brassica oleracea var. bullata subvar. gemmifera). Journal of Agricultural Science, Cambridge 112, 359–375.CrossRefGoogle Scholar
Fisher, N. M. (1974 a). The effect of plant density, date of apical bud removal and leaf removal on the growth and yield of single-harvest Brussels sprouts (Brassica oleracea var. gemmifera D.C.). II. Variation in bud size. Journal of Agricultural Science, Cambridge 83, 489–496.CrossRefGoogle Scholar
Fisher, N. M. (1974 b). The effect of plant density, date of apical bud removal and leaf removal on the growth and yield of single-harvest Brussels sprouts (Brassica oleracea var. gemmifera D.C.). III. The components of marketable yield. Journal of Agricultural Science, Cambridge 83, 497–503.CrossRefGoogle Scholar
Hamer, P. J. C. (1982). Agricultural meteorology used to increase the efficiency of horticultural production. ISHS 21st International Horticultural Congress, Abstract 2008. Hamburg.Google Scholar
Hamer, P. J. C. (1990). Investigation of information technology for vegetable production. Project Paper PP/90/161092. Silsoe: AFRC Institute of Engineering Research.Google Scholar
Hamer, P. J. C. (1991). The IT vegetable farm. Part II. Analysis of the variation of the yield and timing of development of Brussels sprout buttons. Divisional Note DN 1616. Silsoe: Silsoe Research Institute.Google Scholar
Hamer, P. J. C. (1992). A semi-mechanistic model of the potential growth and yield of Brussels sprouts. Journal of Horticultural Science 67, 161–169.CrossRefGoogle Scholar
Hamer, P. J. C. (1993). Model parameters to describe the development of marketable yield of Brussels sprouts. Journal of Horticultural Science 68, 871–882.CrossRefGoogle Scholar
Hamer, P. J. C. (1994). A decision support system for the provision of planting plans for Brussels sprouts. Computers and Electronics in Agriculture 11, 97–115.CrossRefGoogle Scholar
Hamer, P. J. C. & Audsley, E. (1993). Planting plans for Brussels sprouts. In Proceedings of the XXV Ciosta-Cigr V Congress(Eds Annevelink, E., Oving, R. K. & Vos, H. W.), pp. 117–122. Wageningen, The Netherlands: Wageningen Pers.Google Scholar
Jones, L. H. (1972). The effects of topping and plant population on dry matter synthesis and distribution in Brussels sprouts. Annals of Applied Biology 70, 77–87.CrossRefGoogle Scholar
Moncaster, M. E., Parsons, D. J. & Bottoms, D. J. (1988). The application of information technology to farm management. In Proceedings of the International Symposium on Agricultural Engineering (89-ISAE) (Ed. Wang, M. H. ), pp. 1005–1009. Beijing, China: International Academic Publishers.Google Scholar
Nelder, J. A. & Mead, R. (1965). A simple method for function minimisation. Computer Journal 7, 308–313.CrossRefGoogle Scholar
Roberts, E. H. & Summerfield, R. J. (1987). Measurement and prediction of flowering in annual crops. In Manipulation of Flowering (Ed. Atherton, J. G.), pp. 17–50. London: Butterworths.CrossRefGoogle Scholar
Russell, G., Jarvis, P. G. & Monteith, J. L. (1989). Absorption of radiation by canopies and stand growth. In Plant Canopies: Their Growth, Form and Function (Eds Russell, G., Marshall, B. & Jarvis, P. G.), pp. 21–39. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Wilcockson, S. J. & Abuzeid, A. E. (1991). Growth of axillary buds of Brussels sprouts (Brassica oleracea var. bullata sub var. gemmifera). Journal of Agricultural Science, Cambridge 117, 207–212.CrossRefGoogle Scholar