Sas university edition 2019

Data in Experiment 1 were analyzed using the GLM procedure. The statistical model was Y_ijk = µ+ O_i + A_j + P_k+ ε_ijk. Where Y_ijk observation from animal j, receiving diet i in period k; µ, the overall of mean; O_i, the effect of fish oil level (i = 1, 2, 3, 4); A_j, the effect of animal (j = 1, 2, 3, 4); P_k, the effect of period (k = 1, 2, 3, 4); ε_ijk, the residual effect. Mean amounts of FA in the Experiment 2 were statistically analyzed by a PROC MIXED procedure with the statistical model Y_ijk= µ + O_i + T_j + (O×T)_ij + ε_ijk, where Y_ijk = the dependent variable; µ = the overall mean; O_i = the fixed effect of added oil; T_j = the fixed effect of incubation time; (O×T)_ij = the fixed effect of interaction between added oil and incubation time; ε_ijk = the random residual error. Goat inoculum source was considered as a random factor. Orthogonal polynomial contrasts (linear and quadratic) were used to examine treatment effects on response variables. Significant differences among treatment means were statistically compared using Tukey. Statistical tests were performed using SAS University Edition 2019 (SAS Institute Inc., Cary, NC, USA). Significant effect of treatment on least squares means was declared at P < 0.05 and tendency was declared at 0.05 ≤ P < 0.1.