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围产期奶牛的剩余采食量与产奶量、瘤胃细菌、生物聚合物水解酶以及免疫代谢的循环生物标志物的差异有关。

Residual feed intake in peripartal dairy cows is associated with differences in milk fat yield, ruminal bacteria, biopolymer hydrolyzing enzymes, and circulating biomarkers of immunometabolism.

机构信息

Department of Animal Sciences, University of Illinois, Urbana 61801; Department of Animal Production, National Research Centre, Giza 12622, Egypt.

Department of Animal Sciences, University of Illinois, Urbana 61801.

出版信息

J Dairy Sci. 2022 Aug;105(8):6654-6669. doi: 10.3168/jds.2021-21274. Epub 2022 Jul 13.

DOI:10.3168/jds.2021-21274
PMID:35840400
Abstract

Residual feed intake (RFI) measures feed efficiency independent of milk production level, and is typically calculated using data past peak lactation. In the current study, we retrospectively classified multiparous Holstein cows (n = 320) from 5 of our published studies into most feed-efficient (M-eff) or least feed-efficient (L-eff) groups using performance data collected during the peripartal period. Objectives were to assess differences in profiles of plasma biomarkers of immunometabolism, relative abundance of key ruminal bacteria, and activities of digestive enzymes in ruminal digesta between M-eff and L-eff cows. Individual data from cows with ad libitum access to a total mixed ration from d -28 to d +28 relative to calving were used. A linear regression model including dry matter intake (DMI), energy-corrected milk (ECM), changes in body weight (BW), and metabolic BW was used to classify cows based on RFI divergence into L-eff (n = 158) and M-eff (n = 162). Plasma collected from the coccygeal vessel at various times around parturition (L-eff = 60 cows; M-eff = 47 cows) was used for analyses of 30 biomarkers of immunometabolism. Ruminal digesta collected via esophageal tube (L-eff = 19 cows; M-eff = 29 cows) was used for DNA extraction and assessment of relative abundance (%) of 17 major bacteria using real-time PCR, as well as activity of cellulase, amylase, xylanase, and protease. The UNIVARIATE procedure of SAS 9.4 (SAS Institute Inc.) was used for analyses of RFI coefficients. The MIXED procedure of SAS was used for repeated measures analysis of performance, milk yield and composition, plasma immunometabolic biomarkers, ruminal bacteria, and enzyme activities. The M-eff cows consumed less DMI during the peripartal period compared with L-eff cows. In the larger cohort of cows, despite greater overall BW for M-eff cows especially in the prepartum (788 vs. 764 kg), no difference in body condition score was detected due to RFI or the interaction of RFI × time. Milk fat content (4.14 vs. 3.75 ± 0.06%) and milk fat yield (1.75 vs. 1.62 ± 0.04 kg) were greater in M-eff cows. Although cumulative ECM yield did not differ due to RFI (1,138 vs. 1,091 ± 21 kg), an RFI × time interaction due to greater ECM yield was found in M-eff cows. Among plasma biomarkers studied, concentrations of nonesterified fatty acids, β-hydroxybutyrate, bilirubin, ceruloplasmin, haptoglobin, myeloperoxidase, and reactive oxygen metabolites were overall greater, and glucose, paraoxonase, and IL-6 were lower in M-eff compared with L-eff cows. Among bacteria studied, abundance of Ruminobacter amylophilus and Prevotella ruminicola were more than 2-fold greater in M-eff cows. Despite lower ruminal activity of amylase in M-eff cows in the prepartum, regardless of RFI, we observed a marked linear increase after calving in amylase, cellulase, and xylanase activities. Protease activity did not differ due to RFI, time, or RFI × time. Despite greater concentrations of biomarkers reflective of negative energy balance and inflammation, higher feed efficiency measured as RFI in peripartal dairy cows might be associated with shifts in ruminal bacteria and amylase enzyme activity. Further studies could help address such factors, including the roles of the liver and the mammary gland.

摘要

残留采食量(RFI)衡量的是独立于产奶量水平的饲料效率,通常使用泌乳高峰期过后的数据进行计算。在当前的研究中,我们使用从我们发表的 5 项研究中收集的 320 头经产荷斯坦奶牛的数据,根据围产期收集的数据,将奶牛分为最有效的饲料(M-eff)或最无效的饲料(L-eff)组。目的是评估免疫代谢、关键瘤胃细菌相对丰度和瘤胃消化酶活性的血浆生物标志物谱在 M-eff 和 L-eff 牛之间的差异。使用 d-28 到 d+28 期间自由采食全混合日粮的个体数据。使用包括干物质采食量(DMI)、能量校正乳(ECM)、体重变化(BW)和代谢 BW 的线性回归模型,根据 RFI 差异将奶牛分为 L-eff(n=158)和 M-eff(n=162)。在围产期的不同时间从尾骨血管采集血浆(L-eff=60 头奶牛;M-eff=47 头奶牛),用于分析 30 种免疫代谢生物标志物。通过食管管采集瘤胃液(L-eff=19 头奶牛;M-eff=29 头奶牛),用于 DNA 提取和使用实时 PCR 评估 17 种主要细菌的相对丰度(%),以及纤维素酶、淀粉酶、木聚糖酶和蛋白酶的活性。使用 SAS 9.4(SAS 研究所)的 UNIVARIATE 过程分析 RFI 系数。使用 SAS 的 MIXED 过程进行性能、产奶量和组成、血浆免疫代谢生物标志物、瘤胃细菌和酶活性的重复测量分析。与 L-eff 牛相比,M-eff 牛在围产期的 DMI 消耗较少。在更大的奶牛队列中,尽管 M-eff 牛的总体 BW 更大,尤其是在产前(788 比 764 公斤),但由于 RFI 或 RFI×时间的相互作用,牛的体况评分没有差异。乳脂含量(4.14 比 3.75±0.06%)和乳脂产量(1.75 比 1.62±0.04 公斤)在 M-eff 牛中更大。尽管由于 RFI 而导致累积 ECM 产量没有差异(1138 比 1091±21 公斤),但在 M-eff 牛中发现了由于 ECM 产量更高而导致的 RFI×时间相互作用。在研究的血浆生物标志物中,非酯化脂肪酸、β-羟丁酸、胆红素、铜蓝蛋白、触珠蛋白、髓过氧化物酶和活性氧代谢物的浓度总体上更高,葡萄糖、对氧磷酶和 IL-6 在 M-eff 牛中更低。在研究的细菌中,Ruminobacter amylophilus 和 Prevotella ruminicola 的丰度在 M-eff 牛中增加了 2 倍以上。尽管在产前 M-eff 牛的瘤胃淀粉酶活性较低,但无论 RFI 如何,我们观察到产后淀粉酶、纤维素酶和木聚糖酶活性都呈明显的线性增加。蛋白酶活性不受 RFI、时间或 RFI×时间的影响。尽管与能量负平衡和炎症相关的生物标志物浓度较高,但围产期奶牛的高饲料效率(以 RFI 衡量)可能与瘤胃细菌和淀粉酶酶活性的变化有关。进一步的研究可以帮助解决这些因素,包括肝脏和乳腺的作用。

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