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OPTIMAL PLANNING OF COCOA CLONAL SELECTION PROGRAMMES

Published online by Cambridge University Press:  25 April 2013

F. OWUSU-ANSAH ,
R. N. CURNOW  and
Y. ADU-AMPOMAH
F. OWUSU-ANSAH*
Affiliation:
Cocoa Research Institute of Ghana, PO Box 8 Tafo-Akim, Ghana
R. N. CURNOW
Affiliation:
Department of Mathematics and Statistics, School of Mathematical and Physical Sciences, University of Reading, Reading, UK
Y. ADU-AMPOMAH
Affiliation:
Cocoa Research Institute of Ghana, PO Box 8 Tafo-Akim, Ghana
*
‡Corresponding author. Email: bywasahad@yahoo.com
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Summary

Data from three cocoa (Theobroma cacao) clonal selection trials are used to investigate the genetic and environmental components of variation in yield and the percentage of total pods affected by black pod disease (Phytophtora pod rot). Simulations based on these estimated components of variation are then used to discuss the best choice in future of numbers of clones, replicates and years of harvest to maximise selection advances in the traits measured. The three main conclusions are the need to increase the number of clones at the expense of the number of replicates of each clone, the diminishing returns from additional years of harvesting and the importance of widening the genetic base of the clones chosen to be tested.

Type
Research Article
Information
Experimental Agriculture , Volume 49 , Issue 4 , October 2013 , pp. 574 - 584
Copyright
Copyright © Cambridge University Press 2013 

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References

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