Abbreviations: AChE, Acetylcholine esterase; CA, cinnamaldehyde; DACD
, Diabetes-induced cognitive deficits; DTNB, 5,5-dithiobis-2-nitrobenzoic acid; EPM, Elevated plus maze; GABA, [gamma]-amino butyric add; GLUT4, Glucose transporter 4; HAB, high anxiety-related behaviour; HbAlc, Glycated haemoglobin; HFD, high fat diet; IL-6, Interleukin-6; LTP, long-term potentiation; MWM, Morris water maze; NPD, Normal palate diet; STZ, streptozotocin; T2D, Type-2 diabetes; TNF-[alpha], tumour necrosis factor-[alpha]; TRPA1, transient receptor potential cation channel A1.
These equations have the advantage of using, as predictors, constituents either commonly determined for ration formulation (CP and P) or the ones (K and Cl) which appeared the most correlated to DACD in our forages set.
Predicting DACD from the equations based on K (equation 4) or on K and Cl (equation 5) appeared possible since 68 to 88.7% of the variation were accounted for by the predictors, and observed DACD mean (563.28 meq/kg DM) was not too much different from the predicted DACD means (586.06 and 589.36 meq/kg DM for equation N[degrees] 4 and equation 5, respectively).
Figure 3 shows a plot of the residuals ([DCAD.sup.K-Cl] minus DCAD) regressed on DACD. It can be seen that the data points are randomly distributed around the "zero line", indicating some but acceptable difference in the use of DCAD (calculated by equation N[degrees] 1, table 1) vs DCADK-Cl (predicted by equation 5, table 1).