Two-way pattern analysis of a large data set to evaluate genotypic adaptation

Byth D.E., Eisemann R.L. and Lacy I.H.D. (1976) Two-way pattern analysis of a large data set to evaluate genotypic adaptation. Heredity, 37 2: 215-230. doi:10.1038/hdy.1976.84


Author Byth D.E.
Eisemann R.L.
Lacy I.H.D.
Title Two-way pattern analysis of a large data set to evaluate genotypic adaptation
Journal name Heredity   Check publisher's open access policy
ISSN 1365-2540
Publication date 1976
Sub-type Article (original research)
DOI 10.1038/hdy.1976.84
Volume 37
Issue 2
Start page 215
End page 230
Total pages 16
Subject 1311 Genetics
2716 Genetics (clinical)
1100 Agricultural and Biological Sciences
Abstract A method for the analysis of genotype x environment interaction in large data sets is presented and applied to yield data for 49 wheat cultivars grown in each of 63 international environments. Pattern analysis using numerical classification defined separately groups of cultivars and groups of environments, based on similarities in yield performance. The group structure for cultivars was interpreted in terms of similarities and differences in cultivar mean yield and/or cultivar yield response patterns across environments. In addition, the cultivar groups reflected differences in genetical and selectional origin. Environment groups largely reflected differences in the average mean yield of the set of cultivars, but some groups showed differences in response patterns related to differential rust incidence.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import
 
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