36 research outputs found

    Simulation parameters.

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    a<p>Expressed as percentage of total variance; numbers in parentheses are the range for 100 replicates.</p

    Adjusted allele effects from different formulas.

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    <p>Adjusted positive (A) and negative (B) allele effects based on allele frequency using linear and nonlinear formulas with δ = 0.4 as well as using arcsin and square root formulas comparing to unweighted genomic selection (δ = 0).</p

    Standard deviation of true breeding value by generation based on a heavy-tailed QTL distribution.

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    <p>True breeding values (BVs) for a simulated population were based on unweighted (δ = 0) or weighted (various δ) genomic selection and calculated using on true marker effects. Linear (A) and nonlinear (B) formulas were used to weight allele frequency.</p

    Ratio of adjusted to unadjusted genetic progress by generation for a normal QTL distribution.

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    <p>The ratio was calculated as the genetic progress for a simulated population based on adjusted genomic breeding value using various δ in the linear (A) and nonlinear (B) adjustment formula divided by genetic progress based on genomic breeding value from unweighted selection.</p

    Standard deviation of true breeding value by generation based on a normal QTL distribution.

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    <p>True breeding values (BVs) for a simulated population were based on unweighted (δ = 0) or weighted (various δ) genomic selection and calculated using on true marker effects. Linear (A) and nonlinear (B) formulas were used to weight allele frequency.</p

    Mean inbreeding coefficients in the final generation calculated using different allele frequencies for simulated populations using 2 QTL distributions.

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    a<p>Mean of diagonal elements of genomic relationship matrix calculated using an allele frequency of 0.5.</p>b<p>Mean of diagonal elements of genomic relationship matrix calculated using true allele frequency in the base population.</p>c<p>Inbreeding based on pedigree information.</p

    Ratio of adjusted to unadjusted genetic progress by generation for 2 QTL distributions.

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    <p>The ratio was calculated as the genetic progress for a simulated population based on adjusted genomic breeding value from the Jannink <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0088510#pone.0088510-Jannink1" target="_blank">[5]</a> formula divided by genetic progress based on genomic breeding value from unweighted selection. A QTL distribution with normally distributed allele effects and a heavy-tailed QTL distribution were tested.</p

    Size and location of marker additive and dominance effects for milk yield of Holsteins and Jerseys.

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    <p>Holstein additive (A) and dominance (B) effects and Jersey additive (C) and dominance (D) effects were estimated with a model that included additive and dominance (values) effects.</p
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