Figure 2 shows the accuracies (correlations between y and DGV) averaged over 42 QTL for whole-genome training and local predictions that were estimated with the 50 and 770 K SNP panels using BayesC.
Figure 1 shows accuracies (correlations between y and DGV) averaged over 42 QTL for local (±1 SNP, ±2 SNPs, ±5 SNPs, ±10 SNPs, ±50 SNPs and ±100 SNPs flanking the QTL) training and predictions with the 50 or 770 K SNP panels using BayesC0.
Since data lineage is now categorized based on spatial measurement technologies that in turn, determine the achievable levels of accuracy, the correlation between data lineage and positional accuracy is logically established.
Accuracy: the correlation between an LSA system and a human evaluator may be high, it can be compared with correlation between two humans evaluator.
This will provide parameters that can then be fit in a simple mathematical model to determine with more accuracy the correlation between DN or CP and fitness, which at this point seems a bit circumstantial.
If breeding values underlying predicted phenotypes were estimated with full accuracy, the correlation between predicted and observed phenotypes would be equal to the square root of the proportion of phenotypic variance explained by breeding values,.
Predictive accuracy, the correlation between the predicted and the true breeding values r g, g ^, was estimated by the ratio of predictive ability s g, ^ p to the square root of heritability for each of the indirect methods using datasets with and without outliers.
In the simulation example, the empirical accuracy was the correlation between the TBV and EBV (or GEBV), whereas in the Merino data example, the empirical accuracy was the correlation between the ASBV and EBV (or GEBV).
It is observed that there is high degree of accuracy and linear correlation between GPS-TEC data and IRI models.
