Predicting the purebred-crossbred genetic correlation from the genetic variance components in the parental lines [PDF]
Genetics Selection Evolution, 2021 Background The genetic correlation between purebred and crossbred performance ( $${r}_{pc}$$ r pc ) is an important parameter in pig and poultry breeding, because response to selection in crossbred performance depends on the value of $${r}_{pc}$$ r pc ...
Pascal Duenk +3 more
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THI Modulation of Genetic and Non-genetic Variance Components for Carcass Traits in Hanwoo Cattle [PDF]
Frontiers in Genetics, 2020 The phenotype of carcass traits in beef cattle are affected by random genetic and non-genetic effects, which both can be modulated by an environmental variable such as Temperature-Humidity Index (THI), a key environmental factor in cattle production.
Yoonji Chung +6 more
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Genetic variance components of the growth curve for Isfahan indigenous chicken [PDF]
Veterinary Medicine and ScienceBackground Being able to model a growth curve using three or four non‐linear functional parameters could help explain the growth phenomenon in a precise way and would allow the comparison of an animal's development rate, optimize management and feeding ...
Mostafa Ghaderi‐Zefrehei +5 more
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On the estimation of genetic parameters via variance components [PDF]
Genetics Selection Evolution, 1983 Summary Variance components have been estimated by three methods using two different but overlapping data sets from a dairy cattle breeding scheme. The methods were H method III, MINQUE and a new method proposed by H in 1980. Two different statistical models of grouping sires were considered.
Schneeberger M, Hagger C, Dempfle L
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Analysis of variance components for genetic markers with unphased genotypes [PDF]
Frontiers in Genetics, 2016 An ANOVA type general multi-allele (GMA) model was proposed in cite{Wang2014} on analysis of variance components for quantitative trait loci or genetic markers with phased or unphased genotypes.
Tao Wang
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Complex traits and candidate genes: estimation of genetic variance components across multiple genetic architectures. [PDF]
G3 (Bethesda), 2023 Abstract Large-effect loci—those statistically significant loci discovered by genome-wide association studies or linkage mapping—associated with key traits segregate amidst a background of minor, often undetectable, genetic effects in wild and domesticated plants and animals. Accurately attributing mean differences and variance explained
Feldmann MJ +2 more
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Genetic variance components and heritability of multiallelic heterozygosity under inbreeding. [PDF]
Heredity (Edinb), 2016 The maintenance of genetic diversity in fitness-related traits remains a central topic in evolutionary biology, for example, in the context of sexual selection for genetic benefits. Among the solutions that have been proposed is directional sexual selection for heterozygosity. The importance of such selection is highly debated.
Nietlisbach P, Keller LF, Postma E.
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Genetic heterogeneity of residual variance - estimation of variance components using double hierarchical generalized linear models [PDF]
Genetics Selection Evolution, 2010 Background The sensitivity to microenvironmental changes varies among animals and may be under genetic control. It is essential to take this element into account when aiming at breeding robust farm animals.
Fikse Freddy +4 more
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Contribution of genetic effects to genetic variance components with epistasis and linkage disequilibrium [PDF]
BMC Genetics, 2009 Background Cockerham genetic models are commonly used in quantitative trait loci (QTL) analysis with a special feature of partitioning genotypic variances into various genetic variance components, while the F∞ genetic models are widely used in genetic ...
Zeng Zhao-Bang, Wang Tao
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Genetic variance components estimation for binary traits using multiple related individuals. [PDF]
Genet Epidemiol, 2011 Understanding and modeling genetic or nongenetic factors that influence susceptibility to complex traits has been the focus of many genetic studies. Large pedigrees with known complex structure may be advantageous in epidemiological studies since they can significantly increase the number of factors whose influence on the trait can be estimated.
Papachristou C, Ober C, Abney M.
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