Table 3.

Analysis of variance (General Linear Model) with the number of fast muscle fibres (FN) as a dependent variable using the method of sequential sums of squares for tests

Sourced.f.Seq. SSSeq. MSFP
Model A
Treatment 3.177×1011 3.177×1011 23.19 0.042
Growth period (GP3.093×1011 3.093×1011 34.39 0.0001
Treatment × GP 5.842×1010 5.842×1010 6.49 0.013
Cage (treatment) 2.731×1010 1.365×1010 1.52 0.225
Error 86 7.727×1010 8.985×109
Total 91 1.485×1012
Model B
Treatment 3.177×1011 3.177×1011 26.25 0.037
TCA 4.181×1011 4.181×1011 51.91 0.0001
TCA × treatment 3.439×1010 3.439×1010 4.27 0.042
Cage (treatment) 2.411×1010 1.205×1010 1.50 0.229
Error 86 6.911×1011 8.037×109
Total 91 1.485×1012
Sourced.f.Seq. SSSeq. MSFP
Model A
Treatment 3.177×1011 3.177×1011 23.19 0.042
Growth period (GP3.093×1011 3.093×1011 34.39 0.0001
Treatment × GP 5.842×1010 5.842×1010 6.49 0.013
Cage (treatment) 2.731×1010 1.365×1010 1.52 0.225
Error 86 7.727×1010 8.985×109
Total 91 1.485×1012
Model B
Treatment 3.177×1011 3.177×1011 26.25 0.037
TCA 4.181×1011 4.181×1011 51.91 0.0001
TCA × treatment 3.439×1010 3.439×1010 4.27 0.042
Cage (treatment) 2.411×1010 1.205×1010 1.50 0.229
Error 86 6.911×1011 8.037×109
Total 91 1.485×1012

d.f., degrees of freedom; Seq. SS, sequential sums of squares; Seq. MS,sequential mean squares; F, variance ratio; P,probability.

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