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  • 1
    Electronic Resource
    Electronic Resource
    Genetics of leaf blight resistance in wheat (1991)
    Springer
    Theoretical and applied genetics 82 (1991), S. 399-404 
    Details
    ISSN: 1432-2242
    Keywords: Leaf blight ; Joint scaling test ; Generation mean analysis ; Epistasis ; Additive gene action
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Studies on the genetics of leaf blight caused byAlternaria triticina using generation mean analysis revealed that additive components played a major role, but that dominance components also contributed significantly in controlling the variability for leaf blight resistance in wheat crosses. Furthermore, the additive x additive type of epistasis was predominant in the first three crosses, whereas in the fourth cross additive x dominance (j) and dominance x dominance (1) components of epistasis were most significant. Because of this it may be desirable to follow a simple recurrent selection scheme for higher tolerance, to isolate resistant plants from the segregating populations derived from crosses of parents of diverse origin following the pedigree method of breeding. CPAN-1887 was very tolerant to leaf blight in the present study and should be utilized in hybridization programs to develop leaf-blight-resistant varieties.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00588589
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Estimation of a common mean of several univariate inverse Gaussian populations (1991)
    Springer
    Annals of the Institute of Statistical Mathematics 43 (1991), S. 357-367 
    Details
    ISSN: 1572-9052
    Keywords: Inverse-Gaussian population ; Graybill-Deal type estimate ; squared error loss ; equivariant estimator ; admissibility
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The problem of estimating the common mean μ of k independent and univariate inverse Gaussian populations IG(μ, λ i ), i=1,..., k with unknown and unequal λ's is considered. The difficulty with the maximum likelihood estimator of μ is pointed out, and a natural estimator % MathType!MTEF!2!1!+-% feaafeart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXafv3ySLgzGmvETj2BSbqefm0B1jxALjhiov2D% aebbfv3ySLgzGueE0jxyaibaiiYdd9qrFfea0dXdf9vqai-hEir8Ve% ea0de9qq-hbrpepeea0db9q8as0-LqLs-Jirpepeea0-as0Fb9pgea% 0lrP0xe9Fve9Fve9qapdbaqaaeGacaGaaiaabeqaamaabaabcaGcba% acciGaf8hVd0MbaGaaaaa!3D38!\[\tilde \mu \] of μ along the lines of Graybill and Deal is proposed. Various finite sample properties and some decision-theoretic properties of % MathType!MTEF!2!1!+-% feaafeart1ev1aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXafv3ySLgzGmvETj2BSbqefm0B1jxALjhiov2D% aebbfv3ySLgzGueE0jxyaibaiiYdd9qrFfea0dXdf9vqai-hEir8Ve% ea0de9qq-hbrpepeea0db9q8as0-LqLs-Jirpepeea0-as0Fb9pgea% 0lrP0xe9Fve9Fve9qapdbaqaaeGacaGaaiaabeqaamaabaabcaGcba% acciGaf8hVd0MbaGaaaaa!3D38!\[\tilde \mu \] are discussed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00118641
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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