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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Optimal Strategies for Varietal Selection

Optimal strategies for varietal selection.
Authors: Andrews, N. J.; Curnow, R. N.;

Optimal Strategies for Varietal Selection

Abstract

Varietal selection programmes for agricultural and horticultural crops are generally constructed to achieve one of two main objectives. These are firstly the selection of a fixed number of varieties in such a way as to achieve a maximum expected mean yield for the selected varieties and secondly the selection of sufficient varieties to achieve some minimum or expected probability that a specified number of the 'best' varieties are among those selected. The two approaches are contrasted by assuming that the varieties being assessed are a random sample of varieties whose true yielding capacities are normally distributed. The approach meeting the second objective gives rise to an unpredictable number of selected varieties. By choosing the parameters of the selection procedure to give an expected number selected equal to the number selected in the approach for the first objective, comparisons can be made. Our paper shows that, with the normal distribution assumption, the approaches give approximately the same expected probability of selecting one of the best varieties as well as approximately the same expected gains in yield. The approach for the first objective is favoured because of the practical advantages of selecting a predefined number of varieties. The advantages of maximizing expected mean yield over achieving stated probabilities of correct selection are stressed. Also considered in this paper is the optimal number of varieties to carry forward to a final stage of selection so that the probability that the best variety statistically significantly outyields a control variety in the final stage is maximized.

Keywords

Applications of statistics to biology and medical sciences; meta analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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