围产期奶牛代谢与营养调控研究进展

围产期是奶牛泌乳周期中最为关键的阶段,该阶段奶牛代谢的最大特点是能量摄入减少而需求增加从而导致能量负平衡.改善围产期奶牛的营养条件,最大限度地缓解能量负平衡,对于充分发挥奶牛的生产性能至关重要.本文综述了围产期奶牛的代谢特点以及营养调控研究进展,旨在为提高奶牛的生产性能和健康水平提供新的思路.     

胰岛素通路对围产期奶牛糖代谢、脂代谢、健康状况和生产性能影响的研究进展

围产期奶牛由于干物质摄入不足与能量输出增加,产生能量负平衡,导致机体代谢紊乱,引发营养代谢性疾病,阻碍奶牛养殖业的健康发展。胰岛素对肝脏、骨骼肌、脂肪等组织的稳定代谢具有重要调控作用,体内胰岛素通路功能的正常可保证围产期奶牛处于健康状态,降低营养代谢性疾病发生率。通过提高围产期奶牛能量代谢,改善氧化应激及胰岛素相关关键通路和激酶等方式可有效提高胰岛素敏感性,维持葡萄糖和脂质代谢稳态,提高健康状况和生产性能。本文阐述了胰岛素通路调控各组织代谢的作用机制、胰岛素抵抗的发生及对围产期奶牛糖代谢、脂代谢、健康状况和生产性能的影响,并揭示相应的调控措施,为预防围产期奶牛营养代谢性疾病提供理论参考依据。     

葡萄糖代谢与利用对奶牛生产的影响

葡萄糖是脑细胞等中枢神经系统和胚胎的主要供能物质,也是泌乳奶牛合成乳糖的前体物质,并且与乳脂、乳蛋白合成密切相关,对泌乳奶牛具有重要的营养生理功能。为了提高奶牛泌乳性能以及生理健康,有必要深入研究奶牛葡萄糖的营养与生理功能。本文从葡萄糖的生成、乳腺中葡萄糖代谢与调节、葡萄糖代谢对奶牛生产影响等几个方面对泌乳奶牛葡萄糖的代谢与利用进行综述,为进一步揭示奶牛葡萄糖的代谢机制、提高奶牛对葡萄糖利用、促进奶牛生产提供参考依据。     

疾病对奶牛繁殖性能的影响及其研究进展Ⅲ:营养代谢性疾病

现代规模化、集约化奶牛养殖生产模式下,不断供给高营养水平日粮是维持后备牛快速生长发育和泌乳母牛高泌乳性能的物质基础。然而,在遗传品质到达"瓶颈期"后,尽管随着日粮营养浓度的不断提高和干物质采食量（DMI）的增加,奶牛单产水平可以继续维持在一定的高水平状态,但是高产奶牛的营养代谢性疾病的发病率也呈现快速增长趋势,特别是围产期能量负平衡（negative energy balance,NEB）引起的酮病,高精日粮引发的酸中毒、高蛋白质日粮引起的血液中尿素氮升高等营养代谢性疾病,负调控奶牛繁殖性能,造成奶牛产后发情不明显,配种率和受胎率下降等,直接影响奶牛生产群的更新速度、优质牛群泌乳性能正常发挥以及奶牛养殖的经济效益。作者详细介绍了近年来国内外不同营养代谢性疾病对奶牛繁殖性能影响的相关研究资料,重点分析了酮病、低血钙、瘤胃酸中毒等围产期高发的营养代谢性疾病影响奶牛繁殖性能的分子机制,并对营养代谢性疾病与高产奶牛繁殖性能今后研究的方向提出了展望和思考,以期为提高中国规模化牧场高产奶牛群繁殖效率和母牛围产期营养管理水平提供一定的借鉴和理论依据。     

过瘤胃胆碱对围产期奶牛营养作用的研究进展

本文通过研究围产期奶牛的代谢特点,阐述了胆碱的生物学功能及其在瘤胃中的代谢机理,同时论述了过瘤胃胆碱对围产期奶牛的营养作用。旨在为应用过瘤胃胆碱缓解奶牛能量负平衡,减少围产期奶牛营养代谢病发病率,提高奶牛生产性能,延长奶牛利用年限奠定理论参考依据。     

奶牛维生素A缺乏症的防制方法

缺乏维生素A容易引起奶牛一系列营养代谢机能障碍疾病——维生素A缺乏症和其他继发病症,严重影响奶牛的健康与生产,导致繁殖力的生产性能降低,生产寿命缩短。本文主要就奶牛的维生素A缺乏原因以及预防措施进行简述,     

奶牛营养代谢病的原因与特点

正奶牛营养代谢病是临床上常见的病症,特别是亚临床型所致的生长发育迟缓和生产性能降低,给奶牛业造成很大经济损失。所以研究掌握奶牛营养代谢病的发生原因及发病特点,对诊断治疗具有非常重要的意义。营养代谢是奶牛机体生命活动的基础,营养物质则是营养代谢的物质基础。在现代化生产中,奶牛将不可避免地要受到建筑结构、管理设施和制度、内外环境因素、日粮配合、饲养方法及营养需求等一系列因素的影响。生产流程要严格     

浅析奶牛产后葡萄糖代谢失衡理论

奶牛围产期代谢紊乱是影响奶牛健康和生产性能的主要因素,探寻奶牛围产期营养代谢调控作用和机理是保证奶牛健康,提高生产性能,保证牧场经济效益的重要基础。本文深入分析了奶牛围产期能量代谢的调控机理,指出奶牛产后葡萄糖代谢失衡是引起奶牛围产期代谢紊乱的根本原因,并进行了详细论述。充分认识奶牛产后葡萄糖代谢失衡理论,对奶牛脂肪肝病、酮病及产后失重的预防和治疗具有指导意义,对奶业的健康发展具有重要意义。     

奶牛营养代谢病的监控、应对措施和研究方向

奶牛营养代谢病监控项目有测血液和尿生理生化指标、日粮营养成分、饲养管理和奶牛的外观和行为.奶牛营养代谢病监控项目有病因调查、动物现场调查、饲料调查、饲养管理和实验室诊断.预防奶牛营养代谢病时,必须针对能引起代谢病的各种因素有目的地进行.奶牛营养代谢病的重要起因是饲料中营养素缺乏或不足.所以,给奶牛配制一个理想的日粮是保证其健康和充分发挥其生产性能的基本条件.在发展现代化营养检测技术方面有几个发展趋势:综合检测、动态营养检测、早期检测、使用各种先进的技术手段和建立快速检测方法.     

预防围产期奶牛脂肪肝的营养调控措施

围产期是奶牛泌乳周期中最为关键的阶段,脂肪肝是围产期奶牛高发的营养代谢病之一。本文对预防围产期奶牛脂肪肝的营养调控措施进行综述,旨在为提高奶牛的健康水平和生产性能提供新的思路。     

Nutrient Prioritization in Dairy Cows Early Postpartum: Mismatch Between Metabolism and Fertility?

For several decades, researchers worldwide report a decrease in fertility in high-yielding dairy cows, most probably based on conflicting metabolic and reproductive needs. The dairy herd manager's success at improving milk production has been accompanied by a negative trend for the most visible reproductive parameters such as calving intervals, number of days open and number of inseminations needed per pregnancy. In parallel, many research groups studied the metabolic and endocrine factors that influence follicular growth and the developmental competence of oocytes and embryos. In the past, herd managers and reproductive biologists each tried to tackle the same problems with limited consultation. More recently, the situation has improved significantly and theriogenologists, nutritionists and veterinarians now conduct research in multidisciplinary teams. This review paper starts in a general way by discussing nutrient prioritization towards the udder to guarantee milk production and by describing interactions between the somatotropic and gonadotropic axis. It then focuses on the consequences of the negative energy balance on follicular growth and environment, oocyte and embryo quality, not only by summarizing the currently accepted hypotheses but also based on clear scientific evidence at the follicular level. All this, with one question in mind: is there a mismatch between metabolism and fertility and what can the dairy manager learn from research to tackle the problem of reduced fertility?     

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。     

Genetic relationships of fertility traits with test‐day milk yield and fat‐to‐protein ratio in tropical smallholder dairy farms

The test‐day milk fat‐to‐protein ratio (TD‐FPR) could serve as a measure of energy balance status and might be used as a criterion to improve metabolic stability and fertility through genetic selection. Therefore, genetic parameters for fertility traits, test‐day milk yield (TD‐MY) and TD‐FPR, as well as, their relationships during different stages of lactation, were estimated on data collected from 25 968 primiparous Thai dairy crossbred cows. Gibbs sampling algorithms were implemented to obtain (co)variance components using both univariate linear and threshold animal models and bivariate linear‐linear and linear‐threshold animal models with random regression. Average TD‐MY and TD‐FPR were 12.60 and 1.15. Heritability estimates for TD‐MY, TD‐FPR and selected fertility traits ranged from 0.31 to 0.58, 0.17 to 0.19 and 0.02 to 0.05, respectively. Genetic correlations among TD‐FPR and TD‐MY, TD‐FPR and fertility traits, and TD‐MY and fertility traits ranged from 0.05 to ‐0.44, from ‐0.98 to 0.98 and ‐0.22 to 0.79, respectively. Selection for lower TD‐FPR would decrease numbers of inseminations per conception and increase conception at first service and pregnancy within 90 days. In addition, cow selection based only on high milk production has strong effects to prolong days to first service, days open and calving interval.     

Milk yield did not decrease in large herds of high-producing Holstein cows in semi-arid climate of Mexico

This study aimed to determine the trends in milk production, fertility, temperature-humidity index (THI), and herd size in dairy herds from the Laguna region in northern Mexico. Records of 16 dairy herds of Holstein cows from January 2002 to December 2016 were used. Milk production was categorized in low and high levels. Milk production and fertility were analyzed using generalized equation estimation procedures by a model of repeated measures that included the effect of year, month, and productive level, an interaction for month × productive level, and herd effect was nested in productive level. For THI, a generalized linear model that included the effects of year and month was used. Dairy herds with high levels of milk production yielded more milk than those with low levels (P?<?0.001). Milk production in 2002 and 2016 was 27.4?±?0.6 and 32.3?±?0.7 L/cow/day, respectively. Fertility fluctuated throughout the study. Dairy herds with high levels of milk production recorded higher fertility than those with low levels (P?<?0.001). From October to April, THI was <?70, whereas it was >?73 from May to September, indicating that cows were in heat stress (20 h/day). The median herd size was 995 and 2569 cows in 2002 and 2016, respectively. In conclusion, in large herds, milk production increased over the years of study, whereas fertility showed a wave cycle; nonetheless, when THI was >?73, both milk production and fertility decreased.

     

Relationships between dairy cow mastitis and fertility management and farm performance

A field study was carried out on 38 dairy farms in the Netherlands to determine the relationship between mastitis and fertility management with 305-day milk production and gross margin. Questionnaires were used to get insight into the farmers' management. Out of 150 variables related to mastitis and fertility management, and technical and economic results, 44 variables were selected based on correlation of ≥0.25 or ≤−0.25 with milk production and/or gross margin. These variables were used in two separate partial least-squares (PLS) analyses. PLS has the advantage that it can handle a large number of variables in relation to the number of cases. The PLS-model of 305-day milk production had R² = 0.54 and showed a positive relation between 305-day milk production and awareness of the farmer regarding bulk somatic-cell count (BSCC), the goal level of the farmer for BSCC, and hygiene of the milking parlour. Fertility was negatively related to 305-day milk production, in spite of a relatively good fertility management on high-producing farms. R² = 0.46 for gross margin. The aspiration level of fertility did not seem to affect gross margin, but awareness of BSCC and calving interval (CI) had positive effects. Such awareness seemed a general parameter for good economic results, because it was correlated with different aspects of gross margin.     

The effects of lactation on the fertility of dairy cows

Lactation has been negatively associated with fertility because pregnancy rates in maiden heifers exceed those obtained after first or subsequent calvings. The extent of this difference is less in pasture-fed dairy cows (<10%) than in American Holsteins (>20%) fed grain and conserved forages. The latter cows have pregnancy rates to first insemination and oestrus detection rates of only 40 to 45%. This suggests that the subsequent fertility of inherently fertile Holstein heifers may be severely compromised by high levels of milk production. International comparisons show that pasture-fed dairy cows may experience extended periods of anovulatory anoestrum but have normal fertility (60% pregnancy rate to first insemination) once cycling. The high-producing American Holstein may ovulate within 4 weeks postpartum but is more likely to continue ovulating without being detected in oestrus. Both situations are associated with negative energy balances (NEB) during early lactation. The severity and duration of this NEB may vary with body condition at calving, age or parity, ration formulation, production level and environmental factors. Relative daily milk yield is not an absolute indicator of NEB, because some lower producing cows within a herd have lower feed intakes and more severe energy deficits. NEB is not simple to measure; nonetheless, it is correlated with genetic improvement for milk yield. A positive energy balance, greater weight gain and higher body condition score have all been shown to be positively correlated with plasma progesterone concentrations in early lactation. No studies have investigated the possibility that the rapid increase in metabolic rate at this time may also alter steroid concentrations with consequent effects on oestrous behaviour and fertility. Studies to more precisely define the effects of increasing milk yields in early lactation, especially in Holsteins, may need to be completed in Australia and New Zealand. Oestrus detection rates and pregnancy rates for American Holsteins of less than 50% are accepted widely in the USA. Such low detection rates confound studies on fertility. The objective should be to increase these 2 rates to at least 80% and 60% respectively. This may involve the use of controlled breeding, especially if oestrous behaviour is less overt in high-producing Holstein cows.     

Genetic and phenotypic parameters and annual trends for milk production and fertility traits of the Sahiwal cattle in semi arid Kenya

Data comprising 7211 lactation records of 2894 cows were used to estimate genetic and phenotypic parameters for milk production (lactation milk yield, LMY and lactation length, LL) and fertility (calving interval, CI; number of services per conception, NSC and age at first calving, AFC) traits. Genetic, environmental and phenotypic trends were also estimated. Variance components were estimated using univariate, bivariate and trivariate animal models on based restricted maximum likelihood procedures. Univariate models were used for each trait, while bivariate models were used to estimate genetic and phenotypic correlations between milk production and fertility traits and between LMY, LL, CI and NSC within each lactation. Trivariate models were used in the analysis of LMY, LL, CI and NSC in the first three lactations. Heritability estimates from the univariate model were 0.16, 0.07, 0.03, 0.04 and 0.01 for LMY, LL, CI, AFC and NSC, respectively. The heritability estimates from trivariate analysis were higher for milk production traits than those from univariate analyses. Genetic correlations were high and undesirable between milk production and fertility traits, while phenotypic correlations were correspondingly low. Genetic trends were close to zero for all traits, while environmental and phenotypic trends fluctuated over the study period.     

Effect of various degrees of dystocia in dairy cattle on calf viability, milk production, fertility and culling

The objective of this study was to analyse the effect of dystocia on calf viability, milk production, fertility and culling under field (farm) conditions in a retrospective case-control study. A total of 253 calvings that were attended by a veterinarian were classified into three categories: mild dystocia (MD), severe dystocia (SD) and caesarean section (CS). For every case of dystocia, a control was chosen from the same farm and matched for calving month, breed and parity. Cases and controls were compared concerning calf viability, milk production, fertility and culling. The proportion of stillbirths was significantly higher in cows with dystocia compared with their controls. However, the difference was lower in CS cows than in the other two groups. MD had no significant effects on milk production, fertility and culling. There were no obvious effects of SD on monthly test day milk production, while CS cows produced significantly less milk than their controls. Compared with controls, less SD (50.0% versus 61.6%) and CS cows (48.6% versus 70.3%) conceived until 200 days in milk and more CS cows (31.1% versus 16.2%) were culled in the same time interval. These data demonstrate the scope of economic and animal welfare opportunities associated with the reduction of dystocia by management and breeding.     

Epidemiologic and genetic analysis of veterinary data of German Brown cattle]

In totally 3740 cows of the breed German Brown Swiss distributed over 115 herds risk factors for the occurrence of diseases were analysed using a threshold model. Disease data were recorded by ten practitioners in southern Bavaria. The most frequent diseases were fertility disorders, followed by metabolic, udder and calving disorders. The influence of the herds could demonstrated clearly for all diseases analysed. The effect of the lactation number contributed significantly to the frequency of milk fever, mastitis, retained placenta, endometritis/metritis and ovary cysts. Heritability estimates vary between h2 = 0.5% and h2 = 4.2% with exception of anestrus/acyclia (h2 = 8.8%). With higher milk yield of cows the disease frequencies increase, especially fertility diseases. However, increasing herd milk yield is associated with decreasing disease frequencies. A depression of A.I.-parameters and an increase of culling rate caused by diseases could be observed. In the case of the occurrence of uterus- and ovary disorders days open are elongated by 58 days in comparison to cows without diseases. Recording of disease data for use in electronic data processing seems necessary, in order to diminish production diseases by breeding and herd control programmes. An important prerequisite in organization of disease data recording is an efficient cooperation between the veterinary practitioner, farmer, inseminator and the official milk recording organisation.