Sentence examples for models for trait from inspiring English sources
Since Equation 1 is expressed in terms of reliabilities, it probably extends to other models for trait analysis, such as repeatability models, but this was not validated by simulation.
Accuracies of SNP-based models for trait 1 obtained with the MT models were only significantly higher than those from the ST models in scenario 2 when the genetic correlation was 0.75 (Table 5).
More recently, the existing quail maps were integrated and aligned to the assembled chicken sequence [ 20], thereby confirming the high degree of synteny conservation expected because of the high level of chromosome homology observed between both species [ 21], and the relevance of quail models for trait analyses in poultry.
National evaluations often use linear models for normally distributed traits or nonlinear models for traits with non-normal distributions, but international evaluations are usually restricted to linear models for simpler computing.
The purpose of this simulation study is to compare the accuracies of the SPMM with single Gaussian kernel and the multiple-kernel models for traits that are generated by short-range to long-range interactions.
ai decreases as the difference between ui and v increases, which is an appropriate model for trait interactions such as speed–speed, weapon armor, and toxin antitoxin [7].
Here, we describe a cost-effective feeding protocol based on a newly developed 15N bacteria diet based on Ralstonia eutropha protein, which was applied to a mouse model for trait anxiety.
Ancestral state reconstruction considering the MCC tree was performed in phytools, which fits a continuous-time reversible Markov model for trait evolution and then simulates stochastic character histories.
The model for trait phenotypic values now becomes (6) When the marker locus is in equilibrium with the MQTL, the QTL and marker are independent.
In contrast to the optimality criterion (parsimony and likelihood), the Bayesian Markov chain Monte Carlo (MCMC) method has the advantage of investigating the uncertainty of the phylogeny and the parameters of the model for trait evolution [ 27].
Here we express the β′ and α′ parameters in the QCPG likelihood in terms of various parameters (denoted α and β) in a prospective model for trait given genotype.
