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  • Electronic Resource  (3)
  • Confidence interval  (2)
  • Index selection  (2)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 71 (1986), S. 595-599 
    ISSN: 1432-2242
    Keywords: Multi-trait selection ; Confidence interval ; Index selection
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Confidence intervals are constructed for the expected responses to three types of multi-trait selection. The influence of numbers of replicates and genotypes used in a progeny test experiment on the precision of response of multi-trait selection is discussed based on the structure of the established intervals. Special attention is paid to the characteristics of the intervals constructed for the conventional least square selection indices.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 54 (1979), S. 273-275 
    ISSN: 1432-2242
    Keywords: Interval estimation ; Confidence interval ; Response to selection
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary A method is presented here for obtaining an interval estimate of expected response to selection based on results of a progeny test experiment. The structure of the constructed confidence limits is then examined for the influence of the numbers of lines and replicates on the precision of predicting the expected response to selection.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 78 (1989), S. 798-800 
    ISSN: 1432-2242
    Keywords: Index selection ; Rounding
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary This paper describes a rounding procedure to improve the efficiency of index selection. The procedure involves performing canonical variate analysis on the phenotypic and genotypic variances of a group of traits estimated from a progeny test experiment. The eigenvectors corresponding to the significant eigenvalues are used to transform the original traits into a set of independent variables. The selection index is then constructed based on the new set of variables. The efficiency of the new index is expected to be improved by rounding off the variables associated with the insignificant eigenvalues.
    Type of Medium: Electronic Resource
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