Genotypic performance over environmental arrays: A non-linear grouping protocol
作者:
J. E. Toler,
P. M. Burrows,
期刊:
Journal of Applied Statistics
(Taylor Available online 1998)
卷期:
Volume 25,
issue 1
页码: 131-143
ISSN:0266-4763
年代: 1998
DOI:10.1080/02664769823368
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A non-linear model for examining genotypic responses across an array of environments is contrasted with the 'joint regression' formulation, and a rigorous approach to hypothesis testing using the conditional error principle is demonstrated. The model is extended to cater for situations where single straight-line response patterns fail to characterize genotypic behaviors over an environmental array: a combination of two straight lines, with slope in below-average and in above-average environments, is offered as the 1 2 simplest representation of convex and concave patterns. A protocol for classifying genotypes according to the results of hypothesis tests, i.e. H( = ) and H( = = = 1), is 1 2 1 2 presented . A doubly desirable response pattern is convex ( < 1< ), while a doubly 1 2 undesirable pattern is concave ( > 1> ). 1 2
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