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Means with differing subscripts within rows are significantly different at the p<.05 based on Bonferroni post hoc tests.
Means with differing superscript letters in the same row are significantly different (p ≤ 0.05).
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Within columns, means with different letters differ significantly at P = 0.05.
Within columns, means with different superscripts differ significantly: a,b: P < 0.004.
Values are mean ± SE (n = 20) a, b, c Means with different superscripts differ significantly (P < 0.05) *Sum of acetyl- and propionyl carnitine, †Sum of free carnitine and carnitine esters In order to assess whether plasma NEFA concentrations influence liver carnitine concentrations, we calculated a linear regression between plasma NEFA and liver carnitine concentrations.
= not applicable abcWithin cities, row means with different superscripts differ significantly (Mann -Whitney U test, P ≤ 0.05) UPA was reported as main occupation and main source of income by a significantly (P < 0.05) higher proportion of heads of households in Bobo Dioulasso (39%) than in Sikasso (14%) and Kano (5%).
a, b, c, d Means with different superscripts differ significantly (P < 0.05) This study was performed to investigate the hypothesis that the onset of lactation in dairy cows leads to an up-regulation of genes involved in hepatic carnitine synthesis and uptake of carnitine.
a,b,cWithin a row, means with different superscript letters differ for multiple comparisons according to Tukey test (P < 0.05); residual body weight gain groups created by dividing the dataset equally into three groups based on residual body weight gain; significance of the group effect.
a,b,cWithin a row, means with different superscript letters differ for multiple comparisons according to Tukey test (P < 0.05); residual feed intake groups created by dividing the dataset equally into three groups based on residual feed intake; significance of the group effect.
a,b,cWithin a row, means with different superscript letters differ for multiple comparisons according to Tukey test (P < 0.05); Residual intake and body weight gain groups created by dividing the dataset equally into three groups based on residual intake and body weight gain; Significance of the group effect.
For final body and liver weights, labeled means with no common letters differ within fasting treatments, and means with * differ between fasting treatments.
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