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Fig. 2 | Genetics Selection Evolution

Fig. 2

From: Integrating genomic and infrared spectral data improves the prediction of milk protein composition in dairy cattle

Fig. 2

Prediction R-squared for milk protein traits (TP: true protein nitrogen; TCN: total casein; TWP: total whey protein; \(\kappa \text {-}\)CN: \(\kappa \text {-}\)casein; \(\beta \text {-}\)CN: \(\beta \text {-}\)casein; \(\alpha _{S1}\text {-}\)CN: \(\alpha _{S1}\text {-}\)casein; \(\alpha _{S2}\text {-}\)CN: \(\alpha _{S2}\text {-}\)casein; \(\beta \text {-}\)LG: \(\beta \text {-}\)lactoglobulin; \(\alpha \text {-}\)LA: \(\alpha \text {-}\)lactalbumin) from multilayer BayesB using repeated random sub-sampling cross-validation. FTIR: milk Fourier transform infrared spectroscopy; DIM: days in milk.

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