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  • 1
    Electronic Resource
    Electronic Resource
    Estimating genetic change from selection
    Amsterdam : Elsevier
    Aquaculture 111 (1993), S. 75-88 
    Details
    ISSN: 0044-8486
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1016/0044-8486(93)90026-U
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  • 2
    Electronic Resource
    Electronic Resource
    Estimation of long-term genetic improvement for gerbera using the best linear unbiased prediction (BLUP) procedure (1995)
    Springer
    Theoretical and applied genetics 91 (1995), S. 790-794 
    Details
    ISSN: 1432-2242
    Keywords: Selection response ; Breeding value ; Mixed model ; Maximum likelihood ; Realized heritability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Long-term genetic improvement is measured by the selection response predicted from estimates of narrow-sense heritability. Accurate estimates of selection response require partitioning the change of population mean into genetic and environmental components. A selection experiment for cut-flower yield was conducted for 16 generations in the Davis population of gerbera (Gerbera hybrida, Compositae). Breeding values were estimated for individual plants in the population using the best linear unbiased prediction (BLUP) procedure. Genetic change in each generation was calculated from the breeding values of individual plants. The results of this study indicate that long-term selection was successful and necessary for the genetic improvement in cut-flower yield. Genetic improvement in mean breeding value over 16 generations was 33 flowers. Mean breeding values increased monotonically with an S-shape pattern while environmental effects fluctuated from generation to generation. Results predict that cut-flower yield in the Davis population of gerbera will continue to respond to selection.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00220961
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  • 3
    Electronic Resource
    Electronic Resource
    Restricted best linear unbiased prediction and a selection model (1984)
    Springer
    Theoretical and applied genetics 67 (1984), S. 337-340 
    Details
    ISSN: 1432-2242
    Keywords: Best linear unbiased prediction ; Restricted selection index ; Selection models
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary An equivalence between restricted best linear unbiased prediction (and thus restricted selection index) and a particular example of a selection model is presented. Specifically, the equivalence is between restricted selection and a model of selection on the residuals of the general mixed linear model. This result illustrates that restricted selection acts by nonrandomly sampling those genes that act pleiotropically in multiple trait genetic models. An expression for a mixed linear model which includes restrictions is also presented.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00272871
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    An equivalence between models of restricted selection and genetic groups (1985)
    Springer
    Theoretical and applied genetics 71 (1985), S. 413-416 
    Details
    ISSN: 1432-2242
    Keywords: Best linear unbiased predictions ; Restricted selection ; Genetic groups
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary An equivalence between a model of restricted selection and a model of genetic groups is presented. This correspondence leads to a realization of how genetic groups account for selection. Specifically, genetic groups act to remove the covariance between predictions of sire merit and functions of the true selection differentials. Further results illustrate a correspondence between models of selection on random effects and models of selection on residuals. Application of the results is useful, not in establishing concrete definitions for the structure of genetic groups, but in the analysis of how groups account for selection.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00251181
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  • 5
    Electronic Resource
    Electronic Resource
    Estimation of heritability and genetic trend in populations at a physiological limit (1990)
    Springer
    Theoretical and applied genetics 79 (1990), S. 699-704 
    Details
    ISSN: 1432-2242
    Keywords: Genetic trend ; Heritability ; Selection limit
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Limits on physiological processes, though perhaps unknown, must exist. The reported simulations evaluate the effect of a physiological limit on the estimation of genetic parameters and genetic progress. Simulation experiments reveal no change in the estimate of heritability, even for limits as restrictive as 1.5 phenotypic standard deviations above the population mean. However, estimates of additive genetic and environmental variance shrink as limits on performance increase in severity. Simulated physiological limits do not affect the rate of genetic progress. However, absolute measures of estimated genetic change are less than those predicted by response equations.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00226886
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  • 6
    Electronic Resource
    Electronic Resource
    The equivalence of two linear methods for the improvement of traits expressed as ratios (1990)
    Springer
    Theoretical and applied genetics 79 (1990), S. 853-856 
    Details
    ISSN: 1432-2242
    Keywords: Ratios ; Selection ; Selection Index
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Many traits of interest to animal breeders can be expressed as ratios. Yet there remains no uniquely agreed upon method for the genetic evaluation for ratio traits. To generalize, livestock breeders make direct use of ratios (e.g., feed/gain) or linear approximations to ratios. Dairy breeders, on the other hand, tend to use ratios of linear predictors of genetic merit for the evaluation of ratio traits (e.g., fat percent). In the present note, we demonstrate that the two methods are nearly, though not exactly, identical. The proof relies on the expression of the approximate correlation between two ratios.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00224256
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  • 7
    Electronic Resource
    Electronic Resource
    A comparison of restricted selection index and linear programming in sire selection (1992)
    Springer
    Theoretical and applied genetics 84 (1992), S. 384-389 
    Details
    ISSN: 1432-2242
    Keywords: Linear programming ; Selection index ; Selection responses
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary The objective of restricted selection index is to enhance genetic change in one trait while restricting to zero change in a second trait. Linear programming is another, yet conceptually different, technique to maximize one function while enforcing limits on others. The objective of this research was to compare restricted selection index and linear programming in ability to maximize performance in one trait while limiting change in a second trait to zero. Results of a numerical study demonstrate that linear programming is a more effective method to limit correlated response than restricted selection index. On average, both methods limited response in a correlated trait to zero. However, the squared deviation of actual response in the restricted trait from zero was smaller with linear programming than with restricted selection index. Response to selection in the unrestricted trait is greater with restricted selection index than with linear programming.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00229497
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  • 8
    Electronic Resource
    Electronic Resource
    Estimation of components of genetic variance and heritability for flowering time and yield in gerbera using Derivative-Free Restricted Maximum Likelihood (DFRML) (1993)
    Springer
    Theoretical and applied genetics 86 (1993), S. 234-236 
    Details
    ISSN: 1432-2242
    Keywords: Additive variance ; Maximum likelihood ; General Linear Model ; Selection ; Gaussian elimination ; Plant pedigree matrix
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Additive genetic components of variance and narrow-sense heritabilities were estimated for flowering time (FT) and cut-flower yield (Y) for six generations of the Davis Population of gerbera using Derivative-Free Restricted Maximum Likelihood (DFRML). Additive genetic variance accounted for 54% of the total variability for FT and 30% of the total variability for Y. The heritability of FT (0.54) agreed with previous ANOVA-based estimates. However, the heritability of Y (0.30) was substantially lower than estimates using ANOVA. The advantages of DFRML and its applications in the estimation of components of genetic variance and heritabilities of plant populations are discussed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00222084
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  • 9
    Electronic Resource
    Electronic Resource
    The effects of selection for gain in mice on the direct-maternal genetic correlation (1994)
    Springer
    Theoretical and applied genetics 89 (1994), S. 392-396 
    Details
    ISSN: 1432-2242
    Keywords: Genetic correlation ; Maternal effects Mice ; Selection responses ; Variance components
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Components of genetic variation for postweaning growth traits were estimated for both control and growth stocks of mice. The effect of phenotypic selection for gain, which genetically combines selection for additive direct and maternal effects, on additive genetic variance components, heritability, and additive genetic correlationsis discussed. Quantitative genetic theory predicts that simultaneous selection for two metric traits in the same direction will cause the genetic correlation between the two traits to become more negative. The results presented in this paper conflict with this theory. The direct-maternal additive genetic correlation was more negative in the control line (with 356 mice) than in the growth-selected line (with 320 mice) for the three traits analyzed (0.310 vs 0.999 for 21-day weight, 0.316 vs 1.000 for 42-day weight, and 0.506 vs 1.000 for gain from 21–42 days). Estimates were obtained by restricted maximum likelihood (REML) computed under a derivative free algorithm (DFREML).
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00225371
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  • 10
    Electronic Resource
    Electronic Resource
    Effects of inbreeding on cut-flower yield in gerbera (1995)
    Springer
    Euphytica 81 (1995), S. 157-161 
    Details
    ISSN: 1573-5060
    Keywords: coancestry coefficient ; correlation analysis ; covariance analysis ; gerbera ; inbreeding coefficient ; inbreeding depression ; mixed model
    Source: Springer Online Journal Archives 1860-2000
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Summary Inbreeding depression for cut-flower yield was found in gerbera (Gerbera hybrida, Compositae). A selection experiment for cut-flower yield in the Davis population was conducted over sixteen generations and the mean cut-flower yield increased from 10.3 flowers to 28.3 flowers. Cut-flower yield was recorded on individual plants grown in the greenhouse and inbreeding coefficients were calculated for each plant based on its pedigree. The effects of inbreeding on yield were estimated by covariance analysis models. The results of this study indicate that first, inbreeding increased 1% per generation in this population and secondly, inbreeding had the negative effect of reducing cut-flower yield by one-quarter flower per generation for every one percent increase in inbreeding.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00025428
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