Use of mixed-model methodology to improve estimation of crossbreeding parameters

Komender, P.; Hoeschele, Ina

doi:10.1016/0301-6226(89)90042-0

Cited by 39 publications

(31 citation statements)

References 17 publications

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“…As recently shown by Komender and Hoeschele (1989), the accuracy of crossbreeding parameters estimation can be increased by including the genetic relationships among individuals in the model, ie by using an animal model. When variances are known, the resulting set of equations can easily be solved using standard mixed model techniques (Henderson, 1984 (Patterson and Thompson, 1971) by replacing the unknown variances by their REML estimates.…”

Section: Statistical Analysesmentioning

confidence: 99%

Estimation of crossbreeding parameters between Large White and Meishan porcine breeds. III. Dominance and epistatic components of heterosis on reproductive traits

Bidanel¹

1993

Genet. Sel. Evol.

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Section: Statistical Analysesmentioning

confidence: 99%

Estimation of crossbreeding parameters between Large White and Meishan porcine breeds. III. Dominance and epistatic components of heterosis on reproductive traits

Bidanel¹

1993

Genet. Sel. Evol.

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“…Further, additive genetic variance among individuals as predicted by the inverse additive relationship numerator matrix based on the complete four-generation pedigree) was accounted for by including identifications of 'animal' as random effects (in u 2 of Equation (1)). Such an animal model corrects for genetic relationships in unbalanced designs with relationship ties among individuals and increases the accuracy of fixed parameter mean estimates and their standard errors (Komender and Hoeschele, 1989).…”

Section: Statistical Analyses Of Offspring Traitsmentioning

confidence: 99%

Multigenerational hybridisation and its consequences for maternal effects in Atlantic salmon

et al. 2013

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Outbreeding between segregating populations can be important from an evolutionary, conservation and economical-agricultural perspective. Whether and how outbreeding influences maternal effects in wild populations has rarely been studied, despite both the prominent maternal influence on early offspring survival and the known presence of fitness effects resulting from outbreeding in many taxa. We studied several traits during the yolk-feeding stage in multigenerational crosses between a wild and a domesticated Atlantic salmon (Salmo salar) population up to their third-generation hybrid in a common laboratory environment. Using cross-means analysis, we inferred that maternal additive outbreeding effects underlie most offspring traits but that yolk mass also underlies maternal dominant effects. As a consequence of the interplay between additive and dominant maternally controlled traits, offspring from first-generation hybrid mothers expressed an excessive proportion of residual yolk mass, relative to total mass, at the time of first feeding. Their residual yolk mass was 23-97% greater than those of other crosses and 31% more than that predicted by a purely additive model. Offspring additive, epistatic and epistatic offspring-bymaternal outbreeding effects appeared to further modify this largely maternally controlled cross-means pattern, resulting in an increase in offspring size with the percentage of domesticated alleles. Fitness implications remain elusive because of unknown phenotype-by-environment interactions. However, these results suggest how mechanistically co-adapted genetic maternal control on early offspring development can be disrupted by the effects of combining alleles from divergent populations. Complex outbreeding effects at both the maternal and offspring levels make the prediction of hybrid phenotypes difficult.

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“…A mixed model analysis (Henderson, 1973) Two covariables, ie the exact age at measurement (for all traits except birth weights) and the number of littermates nested within litter genetic type (for AWB, AW21, and AADG 0-21) were also included for the analysis of the mentioned traits. The assumed model for traits measured during the growing period was similar to (1) (Henderson, 1973;Komender and Hoeschele, 1989). In the present case, variances were not known but were estimated from the data with a Restricted Maximum Likelihood method (Patterson and Thompson, 1971 (fig 2).…”

Section: Data and Experimental Designmentioning

confidence: 99%

Estimation of crossbreeding parameters between Large White and Meishan porcine breeds. II. Growth before weaning and growth of females during the growing and reproductive periods

Bidanel¹,

Caritez²,

Legault³

1990

Genet. Sel. Evol.

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Use of mixed-model methodology to improve estimation of crossbreeding parameters

Cited by 39 publications

References 17 publications

Estimation of crossbreeding parameters between Large White and Meishan porcine breeds. III. Dominance and epistatic components of heterosis on reproductive traits

Estimation of crossbreeding parameters between Large White and Meishan porcine breeds. III. Dominance and epistatic components of heterosis on reproductive traits

Multigenerational hybridisation and its consequences for maternal effects in Atlantic salmon

Estimation of crossbreeding parameters between Large White and Meishan porcine breeds. II. Growth before weaning and growth of females during the growing and reproductive periods

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