Controlling the Overfitting of Heritability in Genomic Selection through Cross Validation. [PDF]
In genomic selection (GS), all the markers across the entire genome are used to conduct marker-assisted selection such that each quantitative trait locus of complex trait is in linkage disequilibrium with at least one marker.
Jia, Zhenyu
core +2 more sources
Components of Genetic Variance in Milk Yield
Abstract The purpose of this research was to determine the importance of non-additive genetic effects and genetic maternal effects in the inheritance of milk production in dairy cattle. Expressing milk yield as a deviation from herdmate average eliminated most of the variation due to herds, years, seasons, and their interactions without affecting the
A J, Lee, C R, Henderson
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Epistasis and its contribution to genetic variance components. [PDF]
Abstract We present a new parameterization of physiological epistasis that allows the measurement of epistasis separate from its effects on the interaction (epistatic) genetic variance component. Epistasis is the deviation of two-locus genotypic values from the sum of the contributing single-locus genotypic values.
J M, Cheverud, E J, Routman
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Extended twin study of alcohol use in Virginia and Australia [PDF]
Drinking alcohol is a normal behavior in many societies, and prior studies have demonstrated it has both genetic and environmental sources of variation.
Eaves, Lindon J +6 more
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Maternal effect on sports performance traits in horses
The aim of the study was to estimate the direct additive genetic effect and the additive maternal effect on the level of traits estimated during the Polish Jumping Championships for Young Horses.
Tomasz Próchniak +2 more
doaj +1 more source
Genetic (co)variance components for slaughter traits in a multi-breed sheep population
Carcass value is one of the main contributors to revenue in meat sheep enterprises, while age at slaughter is also a major component to the cost of production.
N. McHugh +3 more
doaj +1 more source
Visualizing genetic constraints [PDF]
Principal Components Analysis (PCA) is a common way to study the sources of variation in a high-dimensional data set. Typically, the leading principal components are used to understand the variation in the data or to reduce the dimension of the data for ...
Gaydos, Travis L. +6 more
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COMPONENTS OF GENETIC VARIANCE IN THE CULTIVATED STRAWBERRY
FISHER (1918) subdivided genotypic variance (the variance due to genetic variation) into three components: (1) a part due to the average effects of genes (now called additive genetic variance) , (2) a part due to allelic interactions of genes that is called dominance variance, and (3) a part due to nonallelic interactions of genes that is called ...
R, Watkins, L P, Spangelo
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Quantitative Genetic Variance Maintained by Fluctuating Selection with Overlapping Generations: Variance Components and Covariances [PDF]
The quantitative genetic variance-covariance that can be maintained in a random environment is studied, assuming overlapping generations and Gaussian stabilizing selection with a fluctuating optimum. The phenotype of an individual is assumed to be determined by additive contributions from each locus on paternal and maternal gametes (i.e., no epistasis ...
Akira, Sasaki, Stephen, Ellner
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The Genetic Architecture of Quantitative Traits Cannot Be Inferred from Variance Component Analysis. [PDF]
Classical quantitative genetic analyses estimate additive and non-additive genetic and environmental components of variance from phenotypes of related individuals without knowing the identities of quantitative trait loci (QTLs). Many studies have found a
Wen Huang, Trudy F C Mackay
doaj +1 more source

