The efficiency and selection gain of yield trial experiments is affected by experimental design. A larger number of genotypes, C, increases the chances of including markedly superior genotypes, and a larger number of replications, R, reduces errors and thereby increases the chances of correctly identifying truly superior material. But assuming that cost rises approximately as the number of plots GR, containing research cost imposes a tradeoff between G and R. This paper gives tables specifying the number of replications that optimizes selection of genotypes with the highest true yields. It also quantifies the impact of suboptimal choices. Even with an optimal level of replication, the value of a selection experiment rises logarithmically with the number of plots and hence the cost. Since benefits from more data follow this severe law of diminishing returns, statistical strategies for decreasing errors and improving selections are quite important.
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页码
v.838-843(4)
其它主题
Mejora genetica; Essai de variete; Metodos de optimizacion; Amelioration des plantes; Methode d' optimisation; Gain genetique; Seleccion; Diseno; Genotype; Experimentacion
语言
英语
注释
references. AVAILABILITY: US (DNAL 64.8 C883).
类型
Journal Article; Journal Part
来源
Crop-science (USA). (Jul-Aug 1996). v. 36(4) p. 838-843.
团体作者
Cornell University, Ithaca, NY.
2012-11-15
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