首页> 外文期刊>Journal of Animal Science >Effect of divergence in residual feed intake on feeding behavior, blood metabolic variables, and body composition traits in growing beef heifers.
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Effect of divergence in residual feed intake on feeding behavior, blood metabolic variables, and body composition traits in growing beef heifers.

机译:剩余采食量的差异对生长中的小母牛的采食行为,血液代谢变量和身体组成特征的影响。

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This study examined the relationship of feed efficiency and performance with feeding behavior, blood metabolic variables, and various body composition measurements in growing beef heifers. Individual DMI and growth were measured in yearling Limousin x Holstein-Friesian heifers [n = 86; initial BW = 191.8 (SD = 37) kg] fed a TMR diet comprising 70:30 concentrate:corn silage on a DM basis (ME of 2.65 Mcal/kg of DM; DM of 580 g/kg) for 82 d. Meal duration (min/d) and meal frequency (events/d) were calculated for each animal on a daily basis using an Insentec computerized feeding system. Physical measurements as well as ultrasonic fat and muscle depths were recorded on 3 equally spaced occasions during the experimental period. Blood samples were collected by jugular venipuncture on 4 equally spaced occasions and analyzed for plasma concentrations of IGF-I, insulin, leptin, and various metabolites. Phenotypic residual feed intake (RFI) was calculated for all animals as the residuals from a multiple regression model regressing DMI on ADG and midtest BW."e. Overall, ADG, DMI, feed conversion ratio (FCR), and RFI were 1.51 (SD = 0.13), 6.74 (SD = 0.99), 4.48 (SD = 0.65), and 0.00 (SD = 0.48) kg/d, respectively. Residual feed intake was positively correlated with DMI (r = 0.47) and FCR (r = 0.46), but not with ADG or midtest BW. Positive correlations (ranging from r = 0.27 to r = 0.63) were estimated between ultrasonic measures of final lumbar fat and lumbar fat accretion over the test period and DMI, FCR, and RFI. The inclusion of gain in lumbar fat to the base RFI model increased Rpo (0.77 vs. 0.80) value for the degree of variation in DMI not explained by midtest BW and ADG alone. The Pearson rank correlation between RFI and carcass-adjusted RFI (RFIc) was high (r = 0.93). From the plasma analytes measured, NEFA (r = -0.21; P < 0.05) and o-hydroxybutyrate (r = 0.37; P < 0.05) concentrations were correlated with RFI. Plasma leptin (r = 0.48), glucose:insulin (r = -0.23), NEFA (r = -0.32), and o-hydroxybutyrate (r = 0.25) were associated with FCR. However, systemic IGF-I and insulin were unrelated (P > 0.05) to any measure of feed efficiency. The feeding behavior traits of eating rate, daily feeding events, and nonfeeding events were positively correlated (P < 0.05) with RFI and RFIc. This multifactorial study provides new information on some of the biological processes responsible for variation in feed efficiency in beef cattle.
机译:这项研究检查了饲喂效率,生产性能与饲喂行为,血液代谢变量以及生长中的小母牛母牛各种身体成分的关系。在一岁的利木赞x荷斯坦-弗里斯兰小母牛中测量个体DMI和生长[n = 86;最初的体重= 191.8(SD = 37)千克],饲喂以DM为基础(ME为2.65 Mcal / kg DM; DM为580 g / kg)的70:30精矿:玉米青贮饲料的TMR日粮,持续82天。使用Insentec计算机化饲喂系统每天计算每只动物的进餐时间(min / d)和进餐频率(events / d)。在实验期间,在3个等间隔的情况下记录了物理测量值以及超声波脂肪和肌肉的深度。在四个等间隔的时间通过颈静脉穿刺收集血液样本,并分析其血浆IGF-1,胰岛素,瘦素和各种代谢产物的浓度。计算所有动物的表型残余饲料摄入量(RFI),作为多元回归模型对ADG和中期BW的DMI进行回归的残差。” e。总体而言,ADG,DMI,饲料转化率(FCR)和RFI为1.51(SD = 0.13),6.74(SD = 0.99),4.48(SD = 0.65)和0.00(SD = 0.48)kg / d。剩余饲料摄入量与DMI(r = 0.47)和FCR(r = 0.46)正相关),但没有与ADG或中期BW结合使用。在测试期间,最终腰部脂肪和腰部脂肪的超声测量结果与DMI,FCR和RFI之间的估计呈正相关(从r = 0.27到r = 0.63)。腰脂肪增加至基本RFI模型的DMI变化程度的Rpo值增加了(0.77 vs.0.80),而单独的中间BW和ADG不能解释DMI的变化程度。高(r = 0.93)。从所测血浆分析物中,NEFA(r = -0.21; P <0.05)和邻羟基丁酸酯(r = 0.37; P <0.05)浓条目与RFI相关。血浆瘦素(r = 0.48),葡萄糖:胰岛素(r = -0.23),NEFA(r = -0.32)和邻羟基丁酸酯(r = 0.25)与FCR相关。但是,全身性IGF-I和胰岛素与任何饲料效率指标均无关(P> 0.05)。进食速度,每日进食事件和非进食事件的进食行为特征与RFI和RFIc呈正相关(P <0.05)。这项多因素研究提供了有关造成肉牛饲料效率变化的某些生物学过程的新信息。

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