Sentence examples for based on marker effects from inspiring English sources

(V4) Effect of 'no' relationship between training and validation set: Performance of one half of the genotypes in one focal breeding population or cluster was predicted based on marker effects estimated in the remaining breeding populations or clusters.

In genomic selection, dense genome-wide markers are used to estimate genomic breeding values based on marker effects across the entire genome.

The authors examined the problem of separately predicting each breeding population based on marker effects estimated in the other populations; prediction ability was nearly zero.

Prediction accuracy of performance in two environments was between 0.47 and 0.49, when based on marker effects estimated in four environments including the two environments of the validation set (Table 2, row 3 in V1).

It came out that the main advantage of GS over conventional breeding in long-lived species was the possibility to reduce the generation time through the selection based on marker effects before phenotypes are available.

Predictive ability for performance of 30 F2-derived lines per population (Experiment 2) was between −0.37 and 0.49 based on marker effects estimated in Experiment 1 (Table 3, V3).

Genomic prediction is based either on marker effects models (MEM), where the effects of marker covariates are explicitly included in the model as random effects, or on breeding value models (BVM), where the markers are used to compute the covariance matrix of the breeding values.

A main feature of the genomic prediction model is that polygenic effects (based on pedigree) and haplotype effects (based on marker information) are estimated jointly.

Hence, results for the Bulmer effect presented here are consistent with the equivalence of GS based on estimated marker effects vs. a mixed model with a genomic relationship matrix.

The GBLUP model uses all markers to estimate breeding values on the basis of the genomic relationship between animals rather than based on individual marker effects [ 31].

An even simpler approach is to combine introgression with a genomic selection program [ 5], where individuals are selected based on estimated marker effects distributed over the entire genome.