Sentence examples for between the predicted breeding from inspiring English sources

We next computed predictive ability, the correlation between the predicted breeding values and the phenotypic values r g ^, p across all the genotypes.

The reliabilities of genomic predictions were measured as squared correlations between the predicted breeding values and DRP for bulls in the validation data, divided by the average reliability of the DRP in validation data.

Instead, the correlation between the predicted breeding values and the observed phenotypic values, called predictive ability, is often computed.

Four of the seven methods (Methods 1 to 4) first estimate heritability H[ 7] and then divide the cross-validation sample correlation between the predicted breeding values (g ^ ) and the observed phenotypic values (p), predictive ability, by the square root of heritability H[ 8, 9] to obtain an estimate of predictive accuracy r g ^, p / H.

The correlation between the predicted breeding values and the observed phenotypic values (r g, ^ p ), called predictive ability, was estimated for methods 1 to 4 and 6 using a threefold cross-validation (CV) and was used to estimate predictive accuracy.

Table 2 shows the Pearson correlations and rank correlations between the predicted breeding values (GEBVs) and the simulated true breeding values (TBVs) as well as the regression of TBVs on GEBVs in generation 2. In terms of accuracy, which is defined as the Pearson correlation between GEBVs and TBVs, both TABLUP methods (TAB and TAP) performed better than RRBLUP and GBLUP.

Once the true breeding values are available, the accuracy of genomic prediction can be expressed as the correlation between the true and the predicted breeding values.

Also, we use r g, g ^, s g, g ^, s g ^ 2 and s p 2 to denote the sample correlation between the true and the predicted genetic breeding values, the sample covariance between the true and the predicted breeding values, and the sample variance of the predicted breeding value and the phenotypic sample variance, respectively.

The true correlation is given by the correlation between the true (g) and the predicted (g ^ ) breeding values (1) r g, g ^ = s g, g ^ s g 2 s g ^ 2, where (2) s g, g ^ = 1 n - 1 ∑ i = 1 n g i - g ¯ g ^ i - g ^ ¯ is the covariance between the true and the predicted breeding values.

In this paper, we use simulated true breeding values to directly compute the true correlation (accuracy) between the true and the predicted breeding values r g, g ^ as a benchmark for evaluating the performance of seven contending methods.

A common approach to the evaluation of predictive accuracy in animal breeding is the use of the squared correlation between the true and the predicted breeding values, called reliability [ 20].