Table 5.
Item, μg/g | Dietary treatment |
SEM | P-value | Polynomial contrasts, P-value |
||||||
---|---|---|---|---|---|---|---|---|---|---|
Control (0 mg Mn/kg) | Mn sulfate (100 mg Mn/kg) | Mn-MHAC (25 mg Mn/kg) | Mn-MHAC (50 mg Mn/kg) | Mn-MHAC (75 mg Mn/kg) | Mn-MHAC (100 mg Mn/kg) | Mn-MHAC linear | Mn-MHAC quadratic | |||
Serum | ||||||||||
Mn2 | 0.103b | 0.177a | 0.145ab | 0.156a | 0.113b | 0.172a | 0.0086 | 0.042 | 0.963 | 0.657 |
Cu3 | 0.212c | 0.203c | 0.359bc | 0.800a | 0.601ab | 0.614ab | 0.0516 | <0.001 | 0.368 | 0.161 |
Fe | 3.975 | 3.321 | 4.414 | 4.364 | 3.118 | 4.46 | 0.2387 | 0.497 | 0.811 | 0.722 |
Liver | ||||||||||
Mn | 2.676 | 2.843 | 2.677 | 2.859 | 3.068 | 2.939 | 0.0672 | 0.584 | 0.342 | 0.363 |
Cu4 | 4.075 | 3.975 | 4.693 | 4.758 | 4.615 | 4.863 | 0.1111 | 0.064 | 0.661 | 0.782 |
Fe | 279.582 | 271.446 | 245.443 | 220.733 | 265.490 | 289.364 | 12.5936 | 0.639 | 0.160 | 0.377 |
Heart | ||||||||||
Mn | 0.465 | 0.418 | 0.446 | 0.423 | 0.412 | 0.436 | 0.0111 | 0.753 | 0.865 | 0.639 |
Cu | 3.181 | 3.005 | 3.063 | 3.034 | 3.278 | 3.118 | 0.0479 | 0.610 | 0.539 | 0.742 |
Fe5 | 35.49 | 29.887 | 32.914 | 33.480 | 29.929 | 27.262 | 1.2923 | 0.120 | 0.020 | 0.052 |
Tibia | ||||||||||
Mn6 | 1.789b | 2.127b | 1.992b | 2.179b | 3.046a | 2.990a | 0.1141 | <0.001 | 0.002 | 0.009 |
Cu | 2.077 | 2.140 | 2.262 | 2.043 | 2.154 | 2.587 | 0.0973 | 0.637 | 0.249 | 0.170 |
Fe7 | 70.757a | 54.914b | 60.633ab | 57.229b | 53.814b | 55.200b | 1.7235 | 0.029 | 0.286 | 0.475 |
Mn-MHAC = manganese methionine hydroxy analog chelated; Mn = manganese; Fe = iron; Cu = copper.
a, b, c Values in the same row with different superscript are significantly different (P < 0.05) by one-way ANOVA.
Data are means of 6 replicates of 12 broilers per dietary treatment.
Serum Mn Regression equation: y = 0.009x + 0.101, R2 = 0.103.
Serum Cu Regression equation: y = −0.028x2 + 0.286x-0.072, R2 = 0.305, P = 0.004 or y = 0.093x + 0.169, R2 = 0.249.
Liver Cu Regression equation: y = 0.006x + 4.240, R2 = 0.125.
Heart Fe Regression equation: y = 0.001x2 - 0.146x + 38.855, R2 = 0.292.
Tibia Mn Regression equation: y = 1.772x2 + 0.012x + 1.733, R2 = 0.419.
Tibia Fe Regression equation: y = 0.003x2 - 0.414x + 70.441, R2 = 0.282.