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PLANNING CLONAL SELECTION PROGRAMMES FOR PERENNIAL CROPS

Published online by Cambridge University Press:  28 January 2018

FRANK OWUSU-ANSAH  and
ROBERT N. CURNOW
FRANK OWUSU-ANSAH*
Affiliation:
Social Science and Statistics Unit, Cocoa Research Institute of Ghana, P.O. Box 8, New Tafo-Akim, Ghana
ROBERT N. CURNOW
Affiliation:
Mathematics and Statistics, School of Mathematical and Physical Sciences, University of Reading, Reading, Berkshire, UK
*
‡Corresponding author. Email: [email protected]
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Summary

A formula is developed for calculating the expected gain when a first-order autoregressive repeated measures model for the plot errors is assumed. Using examples from our earlier papers, the similarities of the conclusions about the best selection programme from using simulation of an unstructured model and from using the autoregressive formula for expected gain are presented. The autoregressive formula is then used to derive optimal programmes when the number of plots or plot years is fixed for a range of values for the variance of the interactions of clone effects with years relative to the variance of the clone effects and for the variances and covariances between years of the plot residuals. In general, there are advantages in studying many clones at low replication rather than fewer clones at high replication.

Type
Research Article
Information
Experimental Agriculture , Volume 54 , Issue 6 , December 2018 , pp. 957 - 965
Copyright
Copyright © Cambridge University Press 2018 

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References

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