Comparision of GS Models
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The scope
- Various GS models such as Bayes B, SPLS, BL, RR_BLUP, PLS have been compared[1]
- Prediction accuracy in Time to young microspore: 0.5 to 0.84
- Prediction accuracy of grain number under Osmatic stress conditions : 0.27 - 0.46
- Prediction accuracy of grain number under controlled conditions : 0.1 - 0.42
- Accuracies were generally lower in independent validation than cross validation (?!)
- BayesB and SPLS were turned out to be the best models
- Hence BayesB and SPLS capture the LD between the markers and traits => higher accuracy.
- Excluding markers from QTL mapping reduces the accuracies (?!)
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