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A method for the analysis of barley kernel growth data from designed experiments

Published online by Cambridge University Press:  27 March 2009

H. K. Koesmarno  and
J. R. Sedcole
H. K. Koesmarno
Affiliation:
Centre for Computing and Biometrics, Lincoln University, Canterbury, New Zealand
J. R. Sedcole
Affiliation:
Centre for Computing and Biometrics, Lincoln University, Canterbury, New Zealand
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Summary

The growth of kernels at selected positions along the spike of barley was studied using three models: segmented, logistic and Gompertz. The segmented model divides the growth period into three segments: an initial constant stage, a middle period of ‘linear growth’, and a final constant stage. The identification of a period during which growth is approximately linear - the ‘linear phase’ - was estimated from the curvilinear functions by imposing some criterion to determine the period of ‘linear growth’ in order that the results were similar to those from the segmented model. From this a model of final growth, growth rate and duration of growth as a function of kernel position was developed and fitted to data from four different thinning treatments at five sowing dates. The model of final growth and growth rate was shown to have a family of gamma functions. The analysis of these models showed that there were marked interactions between sowing and thinning treatments for growth rate, less so for grain yield, but there was no substantial interaction for duration.

Type
Crops and Soils
Information
The Journal of Agricultural Science , Volume 123 , Issue 1 , August 1994 , pp. 25 - 33
Copyright
Copyright © Cambridge University Press 1994

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References

Koesmarno, H. K. (1990). Modelling main stem barley spike development: computer simulation and sensitivity analysis. MApplSc thesis, Lincoln University, New Zealand.Google Scholar
Koesmarno, H. K. (1993). Modelling and simulation of barley kernel growth. In Proceedings of an International Congress on Modelling and Simulation (Eds McAleer, M. & Jakeman, A.), pp. 1065–1070. Perth: Uniprint, University of Western Australia.Google Scholar
Koesmarno, H. K. (1994). Heuristic fitting algorithm and analytical approximation for estimating linear phase of logistic data. Journal of Applied Statistics.CrossRefGoogle Scholar
Lee, S. H. (1991). Causes and control of high screeings in barely. PhD thesis, Lincoln University, New Zealand.Google Scholar
Loss, S. P., Kirby, E. J. M., Siddique, K. H. M. & Perry, M. W. (1989). Grain growth and development of old and modern Australian wheats. Field Crops Research 21, 131–146.CrossRefGoogle Scholar
Scott, W. R., Appleyard, M., Fellowes, G. & Kirby, E. J. M. (1983). Effect of genotype and position in the ear on carpel and grain growth and mature grain weight of spring barley. Journal of Agricultural Science, Cambridge 100, 383–391.CrossRefGoogle Scholar