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Comparative muscle transcriptome associated with carcass traits of Nellore cattle
Background Commercial cuts yield is an important trait for beef production, which affects the
final value of the products, but its direct determination is a challenging procedure to be …
final value of the products, but its direct determination is a challenging procedure to be …
Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle
Background Positively correlated with carcass weight and animal growth, the ribeye area
(REA) and the backfat thickness (BFT) are economic important carcass traits, which impact …
(REA) and the backfat thickness (BFT) are economic important carcass traits, which impact …
Multi-trait Bayesian analysis and genetic parameter estimates in production characters of Mecheri sheep of India
TA Kannan, M Jaganathan, R Ramanujam… - Tropical Animal Health …, 2023 - Springer
The present study was carried out to estimate the genetic parameters for direct and maternal
influences on Mecheri sheep (Ovis aries) growth traits using Bayesian multi-trait animal …
influences on Mecheri sheep (Ovis aries) growth traits using Bayesian multi-trait animal …
Deriving gene networks from SNP associated with triacylglycerol and phospholipid fatty acid fractions from Ribeyes of Angus cattle
The fatty acid profile of beef is a complex trait that can benefit from gene-interaction network
analysis to understand relationships among loci that contribute to phenotypic variation …
analysis to understand relationships among loci that contribute to phenotypic variation …
Comprehensive maternal characteristics associated with birth weight: Bayesian modeling in a prospective cohort study from Iran
Background: In this study, we aimed to determine comprehensive maternal characteristics
associated with birth weight using Bayesian modeling. Materials and Methods: A total of 526 …
associated with birth weight using Bayesian modeling. Materials and Methods: A total of 526 …
Use of robust multivariate linear mixed models for estimation of genetic parameters for carcass traits in beef cattle
Assumptions of normality of residuals for carcass evaluation may make inferences
vulnerable to the presence of outliers, but heavy‐tail densities are viable alternatives to …
vulnerable to the presence of outliers, but heavy‐tail densities are viable alternatives to …
On Estimation and Prediction in Linear Mixed Models: A new approach to studying equal BLUEs and BLUPs
A Chizarifard - 2024 - diva-portal.org
Linear mixed models (LMMs) are widely used to analyze repeated, longitudinal, or clustered
data in many disciplines, such as biology, medicine, psychology, sociology, economics, etc …
data in many disciplines, such as biology, medicine, psychology, sociology, economics, etc …
Application of multivariate heavy-tailed distributions to residuals in the estimation of genetic parameters of growth traits in beef cattle
Assumptions of normality in most animal breeding applications may make inferences
vulnerable to the presence of outliers. Heavy-tail densities are viable alternatives to normal …
vulnerable to the presence of outliers. Heavy-tail densities are viable alternatives to normal …
Nonparametric Estimation in Linear Mixed Models with Uncorrelated Homoscedastic Errors
EPN Nguéma, BF Nono, H Gwét - Open Journal of Statistics, 2021 - scirp.org
Today, Linear Mixed Models (LMMs) are fitted, mostly, by assuming that random effects and
errors have Gaussian distributions, therefore using Maximum Likelihood (ML) or REML …
errors have Gaussian distributions, therefore using Maximum Likelihood (ML) or REML …
Multi-trait bayesian analysis and genetic parameter estimates in production characters of Mecheri sheep of India
AK Thiruvenkadan, M Jaganathan, R Ramanujam… - 2022 - researchsquare.com
The present study was conducted to calculate the genetic parameters for direct and maternal
influences on Mecheri sheep growth features by Bayesian analysis using multi-trait animal …
influences on Mecheri sheep growth features by Bayesian analysis using multi-trait animal …