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The effects of calcium propionate supplementation on performance, meat quality, and mRNA expression of Wagyu steers were investigated. Eighteen steers (635 ± 20 kg; 18 ± 1 month old) were randomly divided into two groups: control (CG, without calcium propionate) and experimental (CaP, 200 g calcium propionate per steer per day). All steers were reared for 51 days under the same production system and then slaughtered at a final body weight of 680 ± 18 kg. The results showed no significant differences in dry matter intake, daily gain, or feed conversion ratio between the CaP and CG groups (P > 0.05). The treatments did not significantly affect the pH, drip loss, cooking loss, Warner–Bratzler shear, protein, fat and ash contents in meat (P > 0.05). The erucic acid (C22:1) content in group CaP was significantly lower than in CG (P < 0.05). The content of polyunsaturated fatty acids (PUFA) in CaP showed a decreasing trend compared with CG (P = 0.06). The expression of genes for peroxisome proliferator–activated receptor γ (PPARG) and CCAAT/ enhancer binding protein α (CEBPA), which are involved in adipogenesis, was significantly higher in group CaP than in CG (P < 0.05). The results indicate that supplementing calcium propionate did not affect animal performance, but changed the composition of meat fatty acids, especially PUFA and erucic acid, and could trigger upregulation of PPARG and CEBPA mRNA expression levels, which could cause long-term activation of adipogenesis. Therefore, the results of the present study point to the possibilities of improving meat quality through calcium propionate supplementation of the diet.
This study was conducted to evaluate the predictions of dry matter intake (DMI), average daily gain (ADG), and faecal nitrogen (N) excretion by the Cornell Net Carbohydrate and Protein System Version 6.1.26 (CNCPSv6) in China. A total of 71 bulls from two imported breeds, Limousin and Simmental, and three local breeds: Luxi, Jinnan and Qinchuan were selected in China. Data required by the CNCPSv6 model were collected, and model predictions were generated for animals of each breed. The regression equation between observed and predicted DMI for these cattle was: YOBS = 0.93XCNCPS + 0.48 (R2 = 0.94; P < 0.001), with an intercept not different from zero and a slope not different from unity. The proportion of deviation points lying within the range –0.4 to 0.4 kg · d–1 was 90.1%. The regression equation between observed and predicted ADG was: YOBS = 1.07XCNCPS – 0.05 (R2 = 0.92; P < 0.001), with an intercept not different from zero and a slope not different from unity. About 78.9% of points fell within the range –0.1 to 0.1 kg/d for these cattle. Model-predicted faecal N excretion for the cattle breeds was close to the observed values. The regression equation between observed and predicted faecal N excretion was: YOBS = 1.04XCNCPS – 1.48 (R2 = 0.94; P < 0.001), with an intercept not different from zero and a slope not different from unity. About 73.3% of the points fell within −4 and 4 g per day. These results show that the CNCPSv6 model using actual feed fractions can give good predictions of DMI, ADG and faecal N excretion with different beef cattle breeds in China.
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