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A vernalization-intensity model to predict bolting in sugar beet

Published online by Cambridge University Press:  14 October 2009

G. F. J. MILFORD ,
P. J. JARVIS  and
C. WALTERS
G. F. J. MILFORD*
Affiliation:
Agricultural Research and Development Department, British Sugar plc, Holmewood Hall, Holme, Peterborough, CambridgeshirePE7 3PG, UK
P. J. JARVIS
Affiliation:
Agricultural Research and Development Department, British Sugar plc, Holmewood Hall, Holme, Peterborough, CambridgeshirePE7 3PG, UK
C. WALTERS
Affiliation:
Agricultural Research and Development Department, British Sugar plc, Holmewood Hall, Holme, Peterborough, CambridgeshirePE7 3PG, UK
*
*To whom all correspondence should be addressed: Email: george.milford@tiscali.co.uk
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Summary

A new model is presented that relates the numbers of bolters in sugar-beet crops to an intensity of vernalization calculated as the accumulated number of hours between sowing and the end of June that temperatures were between 0 and 13°C, with each temperature within this range differentially weighted for its vernalizing effect. The model allows varieties to be characterized in terms of a threshold number of vernalizing hours needed to induce bolting (the vernalization requirement) and the increase in the proportion of bolted plants with each additional 10 vernalizing hours accumulated above this vernalizing threshold (the bolting sensitivity). When parameterized for variety, the model allows the level of bolting to be predicted for crops sown on specific dates in particular locations.

Data from variety-assessment trials done at a wide range of locations throughout the main UK sugar-beet growing areas between 1973 and 2006, and from early sown bolting trials done at a few sites between 2000 and 2008, were used to define specific aspects of the model. These included the range and weightings of vernalizing temperatures, the period during which vernalization occurs, and the temperatures likely to cause plants to become devernalized.

The vernalization-intensity bolting model was parameterized and validated using separate subsets of the UK variety-assessment trial data. It was shown to be more discriminating and robust than an existing ‘cool-day’ model, which relates bolting to the number of days from sowing in which the maximum air temperature was below 12°C. Examples are given of the use of the new model to assess the bolting risk associated with early sowing in different regions of the UK, to interpret recent patterns of bolting (especially the large numbers of bolters seen in some commercial crops in 2008), and its potential use as an advisory tool.

Type
Crops and Soils
Information
The Journal of Agricultural Science , Volume 148 , Issue 2 , April 2010 , pp. 127 - 137
Copyright
Copyright © Cambridge University Press 2009

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