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  • 2000-2004
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  • 1975-1979  (2)
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  • 1977  (2)
  • Genetics
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 50 (1977), S. 41-46 
    ISSN: 1432-2242
    Keywords: Barley ; Gum Content ; Genetics ; Genotype ; Environment Interaction
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary A diallel cross analysis of gum content in barley (Hordeum vulgare) was made using six cultivars of two-rowed spring barley as parents. A Jinks-Hayman analysis of F2 progeny means showed that gum content was controlled by a simple additive-dominance genetic system and that low gum content was strongly dominant. The analysis suggested that gum content was principally controlled by two or three genes showing a high degree of dominance. Some genotype-environment interaction was detected in a comparison between the F2 and F3 generations which were grown in different years and locations. However, the character was found to be highly heritable both within and between generations, suggesting that the selection and breeding of barleys of reduced gum content should not be difficult.
    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 51 (1977), S. 35-39 
    ISSN: 1432-2242
    Keywords: Parameters ; Genetics ; Precision ; Simulation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Approximate standard errors of genetic parameter estimates were obtained using a simulation technique and approximation formulae for a simple statistical model. The similarity of the corresponding estimates of standard errors from the two methods indicated that the simulation technique may be useful for estimating the precision of genetic parameter estimates for complex models or unbalanced population structures where approxi mation formulae do not apply. The method of generating simulation populations in the computer is outlined, and a technique of setting approximate confidence limits to heritability estimates is described.
    Type of Medium: Electronic Resource
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