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All equations and correlations show good agreement within experiment data.
The best multiple regression accounted for 0.51 of the variation in SDMI within experiment.
D-value was a much better predictor of SDMI than CP (R2 within experiment 0.71 vs. 0.26).
The best multiple equations explained between 0.25 and 0.35 of the variation in ECM, milk fat or protein yield within experiment.
Feeding YE had no effect on milk yield or composition, however DMI decreased linearly (P < 0.06) in response to increasing YE dietary inclusion within Experiment 1.
Relationships between production parameters and silage fermentation parameters were analysed using mixed model regression analyses; with subexperiment within experiment as a random factor.
Similar(32)
However, within-experiment co-activation relationships, which can reflect the underlying functional relationships between different brain regions, have not been widely studied.
Estimates of the among- and within-experiment variances were assessed using ANOVA of the log transformed cell densities for each un-patterned control sample and micro-patterned sample, with a random effect for experiment.
To estimate the voxel-wise co-activation pattern and deduce the co-activation network, a Co-activation Probability Estimation (CoPE) method was proposed to model within-experiment activations for the purpose of defining the co-activations.
In studies conducted in Finland the within-experiment R2 value between ME intake and ECM yield was 0.74 indicating that the effects on ECM yield were mainly derived from increased silage intake.
These results indicate that linguistic anticipation can be driven by short-term within-experiment trial structure, with implications for the generalization of priming effects, the bases of anticipatory eye movements, and experiment design.
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