过瘤胃氨基酸对泌乳早期奶牛生产性能、乳成分和血液生化指标的影响

为研究日粮添加过瘤胃氨基酸对泌乳早期奶牛生产性能、乳成分、血液生化指标和经济效益的影响,选择96 头体况良好、健康的泌乳早期荷斯坦牛,泌乳天数为（65±15）天。采用单因素随机区组试验设计,按照年龄、胎次和产奶量相近的原则,将96 头奶牛随机分为对照组和试验组,每组48 头。对照组为基础日粮,试验组在对照组日粮的基础上添加过瘤胃蛋氨酸（RPMet）和过瘤胃赖氨酸（RPLys）,添加量分别为18 g/头·天和35 g/头·天。结果表明,与对照组相比,添加RPMet和RPLys显著提高产奶量（P=0.034）,对干物质采食量和饲料转化率无显著影响（P>0.050）;添加RPMet和RPLys显著降低乳尿素氮含量（P=0.015）,对乳脂率有增加的趋势（P=0.096）,对乳蛋白率、乳体细胞数、乳糖率和总固形物含量无显著影响（P>0.050）;添加RPMet和RPLys显著提高血清总蛋白（TP）、白蛋白（ALB）和血糖（GLU）含量,显著降低尿素氮（BUN）含量（P=0.049）,对谷丙转氨酶（ALT）、谷草转氨酶（AST）、球蛋白（GLOB）、碱性磷酸酶（ALP）、甘油三酯（TG）和总胆固醇（TC）含量无显著影响（P>0.050）;添加RPMet和RPLys可提高经济效益3.60 元/头·天。综上所述,日粮添加RPMet和RPLys可提高泌乳早期奶牛的产奶量,增加经济效益。     

荷斯坦奶牛休息时间的群体特征及影响因素分析

为探究北京地区荷斯坦奶牛休息时间的群体规律及影响因素,本研究收集了北京地区某规模化牧场2018年4月至2020年4月共838头荷斯坦奶牛的休息时间及对应的奶牛生产性能测定记录及环境温湿度数据,利用SAS 9.2软件的GLM过程分析了年份、季节、场区、胎次和泌乳月等因素对荷斯坦奶牛休息时间的影响,并分析了休息时间对荷斯坦奶牛生产性能的影响。结果显示,荷斯坦奶牛平均休息时间为397.39 min/d,范围为87.74~707.03 min/d,变异系数为26%;休息时间随季节呈先降低后升高的趋势,夏季最低,冬季最高;随环境温湿度的升高而逐渐降低;产犊和发病对休息时间均有较大影响,产犊和发病当天奶牛休息时间均存在一个峰值,之后逐渐降低至正常水平;测定年份、季节、场区、胎次和泌乳月份对休息时间均有极显著影响（P<0.01）;荷斯坦奶牛产奶量随休息时间的升高而降低。本研究为利用自动化记录设备探究奶牛的行为规律及利用连续测定的休息时间数据提高牛群的精准管理水平提供了理论依据。     

Effects of apple pomace proportion levels on the fermentation quality of total mixed ration silage and its digestibility,preference and ruminal fermentation in beef cows

Four Japanese black beef cows were used in a 4 × 4 Latin square to evaluate the fermentation quality, digestibility, ruminal fermentation and preference of total mixed ration (TMR) silages prepared with differing proportions of apple pomace (AP). Experimental treatments were the control (no AP added, CAP), 5% (low, LAP), 10% (medium, MAP) and 20% (high, HAP) of TMR dry matter (DM) as AP. All TMR silages were well preserved. Ethanol was produced in silages containing AP and the amount increased with the proportion of AP (P < 0.05). Nutrient digestibility with LAP, MAP and HAP treatment was lower than that with CAP treatment (P < 0.05). The ruminal molar proportion of acetic acid increased (P < 0.05), but the ruminal ammonia‐N concentration decreased (P < 0.05) as the proportion of AP increased. The preference of the animals was highest for HAP, followed by MAP, CAP and LAP. This study demonstrates that decrease in nutrient digestibility might be related to the ethanol produced naturally from AP. Therefore, the proportion of AP in TMR silages should be less than 5% of dietary DM.     

Variability in concentrations of zinc in serum and feed when using zinc oxide as a supplement for the prevention of facial eczema

AIMS: To determine the variability of concentrations of Zn in feed, when used as a supplement to prevent facial eczema, and to determine the variability in concentrations of Zn in serum between cows and herds that are being supplemented with ZnO in feed, using in-shed feeders or on a feed pad.

METHODS: Sixteen commercial dairy farms in the Waikato region of New Zealand were enrolled, that were supplementing cows with ZnO in the feed using either an automatic in-shed feeder (ASF) or a feed pad (FP) using a feed-out or mixer wagon. On each farm 10 cows were selected by the farmer, that were assumed to be representative of the age and liveweight of the herd. Four hours after supplement feeding, each cow was weighed and a blood sample collected for measurement of concentrations of Zn in serum. Three samples of feed were collected from each farm for Zn analysis, from the beginning, middle and end of the feed being distributed. Levene’s test for homoscedasticity was used to analyse whether there were differences in variation of individual concentrations of Zn in serum, and in the feed, between the two feeding systems. Multivariable linear regression was used to examine associations between age, feeding method or liveweight and concentrations of Zn in serum, after accounting for the variability between farms.

RESULTS: Of the 163 cows sampled, concentrations of Zn in serum were between 20–35?µmol/L in 75/163 (46 (95% CI=38–54)%) cows; were <20?µmol/L in 71/163 (44 (95% CI=36–52)%) cows, and >35?µmol/L in 17/163 (10 (95% CI=6–16)%) cows. The variation in concentrations of Zn in serum in individual cows differed between farms (p<0.001), and the variability was greater for cows fed using a FP than ASF (p<0.001). There was no difference in the variation of concentrations of Zn in feed between the two feeding methods (p=0.54), but concentrations of Zn in serum were associated with the amount of Zn offered in feed (p=0.008).

CONCLUSIONS AND CLINICIAL RELEVENCE: There was significant variability between farms in the concentrations of Zn in the serum of cows being supplemented with ZnO in feed. Only 46% of cows sampled had concentrations of Zn between 20–35?µmol/L. Effective management of facial eczema should include monitoring Zn in the feed and in serum to ensure cows are receiving the correct dose they require.     

Relationship between calving difficulty and fertility traits in first‐parity Iranian Holsteins under standard and recursive models

The main objective of this study was to estimate the genetic and phenotypic relationships between calving difficulty (CD) and fertility traits, including success at first service (SF), number of inseminations to conception (INS), interval from calving to first service (CTFS), interval between first and last service (IFL) and days open (DO), in first‐parity Iranian Holsteins under standard (SMMs) and recursive (RMMs) mixed models. The data analysed in this paper included 29 950 records on CD and fertility traits, collected in the time period from 1995 to 2014 by the Animal Breeding and Improvement Center of Iran. Under all observed SMMs and RMMs, five bivariate sire‐maternal grandsire models (ten bivariate analyses in total) were used for the analyses. Recursive models were applied with a view to consider that CD influences the fertility traits in the subsequent reproductive cycle and the genetic determination of CD and fertility traits by fitting CD as covariate for any of the fertility traits studied. The existence of such cause‐and‐effect is considered in RMMs but not in SMMs. Our results implied a statistically non‐zero magnitude of the causal relationships between CD and all the fertility traits studied, with the former influencing the latter. The causal effects of CD on SF (on the observed scale, %), INS, CTFS, IFL and DO were ?2.23%, 0.10 services, 1.93 days, 3.76 days and 5.61 days, respectively. Direct genetic correlations between CD and the fertility traits under both models were not statistically different from zero (95% HPD interval included zero), except for the correlation between CD and CTFS, which were 0.197 and 0.134 under SMM and RMM, respectively, indicating that genes associated with difficult births also increase intervals between calving and the first insemination afterwards. Comparison of both models by the deviance information criterion (DIC) demonstrated the plausibility of RMMs over SMMs.     

Effects of Bacillus amylolyticus on Rumen Dry Matter Digestibility,Fermentation Parameters and Metabolites of Dairy Cows北大核心CSCD

This experiment was conducted to study the effects of Bacillus amylolyticus on rumen dry matter digestibility, fermentation parameters and metabolites of dairy cows. Experiment 1: six dairy cows with permanent fistula and had the similar parity (2 to 3 fetuses), body weight [(662 ±57) kg], lactation days [(160 ± 22) d] and milk yield [(36.1 ±3.8) kg / d], were randomly divided into 3 groups with 2 cows per group. Using 3 ×3 Latin square design, each group was extra fed 0 (control group), 5 ×109 and 5 ×1010 CFU / d Bacillus amylolyticus, the trial period was 3 periods, 13 days for each period, including 10 days for the pre-trial period and 3 days for the trial period. At the beginning of the trial period, the rumen dry matter digestibility of cows was measured by nylon bag method. Experiment 2: thirty dairy cows with similar parity [(2.5 ±0.3) fetuses], initial body weight [(559.2 ± 7. 4) kg], milk yield [(35. 2 ± 1. 5) kg / d] and lactation days [(99 ± 22) d] were randomly divided into three groups with 10 cows in each group. Cows in the 3 groups were extra fed with 0 (control group), 5 ×109 and 5 ×1010 CFU / d Bacillus amylolyticus, respectively. The pre-trial period was 10 days and the trial period was 42 days. The rumen fluid was collected on the last day of the trial period, and the rumen fermentation parameters and metabolites were determined. The results showed as follows: compared with the control group, 1) supplementary feeding of 5 × 1010 CFU / d Bacillus amylolyticus could significantly improve the rumen dry matter digestibility of dairy cows at 12, 24, 36, 48 and 72 h (P <0.05), supplementary feeding of 5 ×109 CFU / d Bacillus amylolyticus could significantly improve the rumen dry matter digestibility of dairy cows at 36 and 48 h (P <0.05); 2) supplementary feeding of 5 ×109 CFU / d Bacillus amylolyticus could significantly increase the contents of isobutyric acid, butyric acid, isovaleric acid, valeric acid, total volatile fatty acid and microbial protein in the rumen of dairy cows (P < 0. 05), supplementary feeding of 5 × 1010 CFU / d Bacillus amylolyticus could significantly increase the contents of isobutyric acid and isovaleric acid in the rumen of dairy cows and significantly reduce the rumen acetic acid / propionic acid (P < 0. 05), supplementary feeding of 5 ×109 and 5 ×1010 Bacillus amylolyticus had no effects on rumen pH and ammonia nitrogen content (P >0.05); 3) eleven metabolic pathways related to differential metabolites were detected, and ascorbic acid and alginate metabolism were significantly enriched (P < 0. 05) . In conclusion, Bacillus amylolyticus can increase the rumen dry matter digestibility, and improve the rumen fermentation function of dairy cows by affecting the content of rumen metabolites. By comprehensive analysis, supplementary feeding of 5 × 109 CFU / d Bacillus amylolyticus can achieve better effect. © 2023 Authors. All rights reserved.     

泌乳后期奶牛干物质及部分营养需要研究

选择15头中国荷斯坦奶牛,随机分成三组,研究河北农区泌乳后期奶牛干物质及部分营养需求模型。结果表明:泌乳后期奶牛干物质采食量DM(kg)=0.0685W0.75+0.45(0.4×M+15×fat);所需产奶净能NE(LkJ)=376.45W0.75+3138×(0.4×M+15×fat)+ΔW×25100;可消化蛋白质DCP(g)=3.44W0.75+M×CP%/0.6+ΔW×325;各项指标略高于中国奶牛饲养标准(NY/T34-2004)。     

泌乳期中国荷斯坦牛转化孕酮浓度的影响因素分析及其表型预测

【目的】本研究基于试验测定的中国荷斯坦牛血液和乳汁中的孕酮浓度表型，探究了影响中国荷斯坦牛体内孕酮分泌的环境因素、孕酮浓度的变化趋势、孕酮浓度与乳成分的关联程度以及血乳中孕酮浓度的预测方法。【方法】试验于2021年8月在北京、山东两个牧场采集不同胎次、泌乳阶段和妊娠状态的中国荷斯坦泌乳牛的奶样、尾根血样，测定孕酮浓度，最终获得402条乳汁孕酮浓度和298条血液孕酮浓度表型用于数据分析。对孕酮浓度进行数据转化使其近似服从正态分布后，采用固定效应模型探究胎次、泌乳阶段、妊娠状态、牧场等固定效应对奶牛孕酮表型的影响，运用R语言cor函数计算孕酮与各乳成分间的关联，并利用偏最小二乘法和个体及乳成分信息对孕酮浓度进行预测，以建立孕酮浓度表型高通量获取手段。【结果】妊娠状态对转化乳汁孕酮浓度存在极显著影响（P<0.01），胎次、场效应对转化乳汁孕酮浓度均有显著影响（P<0.05），而转化血液孕酮浓度只受到妊娠状态影响（P<0.01）；全乳固体、乳脂率、乳蛋白率、脂蛋比与转化乳血孕酮浓度均存在显著或极显著的正相关关系（r=0.14~0.37，P<0.05；P<0.01）；基于本试验数据，乳成分与个体信息对转化乳血孕酮浓度的预测准确性不高（R²=0.030~0.17），但如果增加血液或乳汁的转化孕酮浓度对乳汁或血液的转化孕酮浓度进行预测，预测效果则有大幅提升（R²=0.40）。【结论】影响泌乳期中国荷斯坦牛转化孕酮浓度的因素除妊娠状态外，可能还包括饲养条件与胎次。此外转化孕酮浓度与乳脂率、乳蛋白率等乳成分呈极显著相关。基于乳成分信息与转化孕酮的关系，获得了对中国荷斯坦牛乳血转化孕酮浓度预测的可用策略，为今后牧场的繁殖辅助管理、奶牛育种新性状研发以及孕酮浓度的高通量获取等提供了新思路。     

中红外光谱技术在牛奶营养物质预测及奶牛相关特性分析上的应用

近年来,许多研究表明采用中红外光谱(MIRS)分析技术能够对牛奶中各营养物质(如脂肪酸、蛋白质和矿物质)及潜在的有害物质(如掺杂物、抗生素)进行实时、快速和准确地定量分析,并以此建立预测模型来对奶牛的营养(如饲料转化率、能量利用效率和甲烷排放)、健康(如乳房炎和代谢性疾病)和生殖生理与繁殖状况进行鉴定、评估和筛选,从而为优化畜牧养殖业生产方式,发展创新畜牧养殖业循环经济模式,实现低碳、健康和可持续发展提供有效的技术保障。因此本文主要就近年来国际上最新的关于MIRS分析技术在牛奶营养物质测定及奶牛相关特性分析方面的研究进展进行综述。     

Estimation of daily urinary potassium excretion using urinary creatinine as an index substance in prepartum dairy cows

In the present study, the daily excretion of potassium (K) in urine (urinary K(UK)) was estimated from a 6 h urine sample using urinary creatinine (UC) as the index substance. All urine was collected from six pregnant Holstein cows at 6 h intervals for 24 h on 3 days of the 4th, 2nd and final week before the expected date of parturition. In total, 72 6 h urine samples were obtained. Daily UC excretion (mg/day per kg bodyweight (BW)) was almost the same for the three sampling days. Daily UC excretion varied among cows from 22.1 to 24.3 mg/day per kg BW with a mean of 22.8 mg/day per kg BW with no significant difference. Thus, daily UC excretion was confirmed to be constant throughout the prepartum period with no differences among individuals. The concentration ratios of K to creatinine ((UK mg/dL)/(UC mg/dL) (UK/UC)) correlated strongly to the hourly K excretions (mg/h per kg BW) (r = 0.952, P < 0.01) in the 6 h urine samples. The differences in the UK/UC ratio between sampling periods were not significant within each cow. Therefore, daily UK excretion (mg/day) can be estimated using the equation: daily UK excretion (mg/day) = daily UC excretion (mg/day per kg BW) × BW (kg) × 6 h urine sample UK/UC, where daily UC excretion can be a given value.