Graphical profiles as an aid to understanding plant breeding experiments

Basford, Kay E. and Tukey, John W. (1997) Graphical profiles as an aid to understanding plant breeding experiments. Journal of Statistical Planning and Inference, 57 1: 93-107. doi:10.1016/S0378-3758(96)00038-9

Author Basford, Kay E.
Tukey, John W.
Title Graphical profiles as an aid to understanding plant breeding experiments
Journal name Journal of Statistical Planning and Inference   Check publisher's open access policy
ISSN 0378-3758
Publication date 1997-01-15
Year available 1997
Sub-type Article (original research)
DOI 10.1016/S0378-3758(96)00038-9
Open Access Status Not yet assessed
Volume 57
Issue 1
Start page 93
End page 107
Total pages 15
Place of publication Amsterdam : North-Holland
Publisher Elsevier
Language eng
Subject 010401 Applied Statistics
Abstract In many plant improvement programs, a considerable number of genotypes (more strictly lines) are grown in a range of environments (which may refer to different locations within the same or different years). The outcomes (or responses) will usually be described by several attributes measured on each genotype within a particular environment. Often, comparison of the patterns of genotype response across environments is more useful that the traditional comparison of individual responses. Successive graphical presentations are used to summarize the information contained in such plant breeding experiments. They include overlap plots, their corresponding semigraphical tables, and profiles across environments for individual genotypes and groups of genotypes. The interpretation of these displays, as an aid to understanding these experiments, is illustrated and discussed.
Keyword Overlap plots
Aperture summaries
Response patterns
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown
Additional Notes Robust Statistics and Data Analysis, Part I

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Agriculture and Food Sciences
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Citation counts: TR Web of Science Citation Count  Cited 9 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 11 times in Scopus Article | Citations
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