Pathological analysis of batch safety testing of veterinary vaccines using small laboratory animals

Batch safety tests (BSTs) of veterinary vaccines are conducted using small laboratory animals to assure the safety of vaccines according to several criteria, including clinical signs and change in body weight. Although the latter is used as an evaluation index in BSTs, there have been no reports on the internal changes that affect body weight during the test period. Therefore, we analyzed BST via pathological examination of the tested animals. Here, BSTs were performed for 176 batches using mice and 126 batches using of guinea pigs. Most of the gross findings could be classified into four lesion types (nodules, adhesions, ascites, no apparent signs), with only one vaccine inducing lesions that could not be classified into any of these four types. Histopathological examination revealed that the reactions caused by BST were pyogenic and/or granulomatous inflammation. Nodular or adhesive lesions comprised more severe pyogenic granulomatous inflammation than ascites or cases with no apparent gross lesions. These nodular or adhesive lesions were more frequently induced by vaccines that contained an adjuvant than by vaccines that did not contain an adjuvant. The cases with “exceptional” gross findings histologically presented severe necrosis of the hematopoietic system. Additional testing showed that these “exceptional” lesions were induced when a specific type of light liquid paraffin was injected along with other vaccine additives. Our results show that body weight loss and/or lesions during BST were induced by proinflammatory properties of the tested vaccines and that BST is a sensitive method for detecting unexpected effects of vaccine components.     

饲料中动物源性成分微流控检测芯片的研究

试验以"LAMP+微流控"技术为基础,开发饲料动物源性成分检测芯片。针对牛、羊、猪、鸡的16srRNA靶序列,根据LAMP引物设计软件进行4种肉类LAMP引物设计。在LAMP优化试验、芯片优化测试、特异性验证试验和芯片应用测试中,进行最佳引物筛选测试和特异性测试。结果显示,筛选出的4种肉类最佳引物特异性强,最佳反应温度为65℃。芯片特异性验证试验的归一化荧光曲线显示,试验结果准确、特异性稳定。对饲料市场购买的16份样本中检测出的动物源性成分,采用中华人民共和国农业行业标准验证,符合率100%。微流控检测芯片的开发与应用为饲料中动物源性成分检测提供新方法,为饲料产品质量安全提供保障。     

The value of incorporating carcass trait phenotypes in terminal sire selection indexes to improve carcass weight and quality of heavy lambs

Genetic selection for carcass traits is paramount to maximize the profitability and long‐term sustainability of any meat‐producing livestock species. The main objectives of this research were to evaluate the efficiency of indicator traits for the genetic improvement of lamb carcass traits and to determine the value of including carcass traits into terminal sire selection indexes for the Canadian sheep industry. The carcass traits included hot carcass weight (HCW), fat depth at the GR site (FATGR) and average carcass conformation score (AVGCONF), and were measured on heavy lambs (slaughter age less than 365 days and HCW greater than 16.3 kg) in commercial abattoirs. Growth traits were found to be moderately efficient indicator traits for the genetic improvement of HCW but selection on ultrasound traits was necessary to substantially improve the carcass quality traits (FATGR and AVGCONF). Economic selection indexes were designed by adding various combinations of carcass traits into the Canadian Sheep Genetic Evaluation System terminal indexes. Records measured on individuals and progeny were assumed to be the sources of information for live animal and carcass traits, respectively. The changes in index accuracy, efficiency and expected correlated response were used to assess the value of their inclusion. HCW was found to have a large economic value, and its inclusion into terminal selection indexes was expected to substantially increase their accuracy (0.08–0.12 points) and efficiency (20%–30%). However, further including FATGR (measured 110 mm from the carcass midline over the 12th rib) and AVGCONF had little impact on the accuracy (≤0.03) and efficiency (1%–7%) of the proposed indexes. Thus, the inclusion of carcass traits into the existing terminal selection indexes could be beneficial for the genetic improvement of HCW, but further research is needed to determine optimal methods of increasing carcass fatness and muscularity.     

甘肃省兴隆山区域丛枝菌根真菌多样性初探

本研究采用Illumina HiSeq分子测序技术,探究了兴隆山东山丛枝菌根(Arbuscular mycorrhizal,AM)真菌多样性及其在不同海拔高度的分布特征。结果表明:1)自兴隆山东山土壤分离获得AM真菌共52种,隶属于4目8科13属,其中球囊霉属(Glomus)和原囊霉属(Archaeospora)为主要物种,分别为20种和9种,共占总物种的55.77%;2)各海拔梯度AM真菌种属分布结果表明,优势属球囊霉属(Glomus)和类球囊霉属(Paraglomus)随海拔变化呈现规律性分布,其余各属均匀分布于不同海拔梯度;球状巨孢囊霉(Gigaspora margarita)、蜜色无梗囊霉(Acaulospora mellea)、白色球囊霉(Glomus albidum)、球囊霉属的Glomus sp.1和Glomus sp.4,还有弯丝硬囊霉(Sclerocystis sinuosa)仅在部分海拔梯度出现,为不同海拔特有种;3)AM真菌丰富度分析表明,从低海拔到高海拔,ACE和Chao1指数总体上表现出“单峰”变化曲线,且部分海拔间差异性显著(P<0.05)。Spearman相关性分析发现,该地区AM真菌种属分布受海拔因子影响较小,两者间不具有显著相关性。综上,兴隆山东山AM真菌资源丰富,物种繁多,具有较大的应用潜力。     

计算机视觉技术在智慧羊场中的研究进展

智慧羊场具有科学化、标准化管理的优点,是羊场转型发展的趋势。计算机视觉技术是人工智能的核心,可以实现非接触性、自动化、实时监测羊的个体信息。本文总结并分析了计算机视觉在羊场的个体识别方法、行为识别方法、体尺与体重估测、疾病监测的研究现状,并指出计算机视觉在智慧羊场的进一步发展趋势。 [关键词] 计算机视觉|智慧羊场|个体识别|行为识别|体尺与体重估测|疾病监测     

遗传算法优化超声辅助低共熔溶剂提取红枣总黄酮工艺研究

本文采用一种新型绿色溶剂提取红枣总黄酮,并对其提取工艺进行优化。通过单因素试验探究含水量、超声功率、提取时间、提取温度和料液比对红枣总黄酮得率的影响。在此基础上,采用遗传算法优化超声辅助低共熔溶剂提取红枣总黄酮工艺。结果表明：超声辅助低共熔溶剂提取红枣总黄酮最优的工艺参数为：含水量37%、超声功率167 W、提取时间30 min、提取温度54 ℃和料液比1∶26（g/mL）。在此条件下,所得红枣总黄酮得率为（29.33±0.37）mg/g。试验值和理论值的相对误差为1.24%。表明遗传算法可较好地模拟和预测不同提取条件下红枣总黄酮得率,且优化工艺参数是可行的。研究发现低共熔溶剂可作为一种新型、绿色溶剂用于高效提取红枣总黄酮。[关键词] 遗传算法|红枣|总黄酮|低共熔溶剂|工艺     

成长型饲料企业人力资源面临的问题及解决策略研究

企业的发展通常要遵循企业的生命周期理论,从企业最初创立进入生存期,到企业规模进一步增大进入成长期,再到企业成熟期和衰退期,每个生命周期阶段的生产经营和管理策略都有所不同。当企业进入成长期,其发展潜力进一步释放,生产销售数据呈现快速增长的趋势,企业的管理形式也逐渐趋向成熟。对于成长型的企业而言,人力资源管理水平和现状关乎着企业的发展速度和水平,是企业未来的战略资源。而成长型的饲料企业相比于大型、集团化企业,存在人才吸引力低、人才流失严重、人力资源管理水平低等问题,这会影响饲料企业的转型升级。因此,本文以饲料企业为研究对象,基于当前我国成长型饲料企业的发展历程和企业特点,深入分析饲料企业人力资源面临的问题,并针对性地提出解决策略,破除饲料企业人力资源对企业发展的限制,帮助企业进一步健康发展。 [关键词] 成长型饲料企业|人力资源|问题|解决策略     

《家禽屠宰检疫规程》中有关问题分析

《家禽屠宰检疫规程》在规范家禽的屠宰检疫,加强家禽产品的检疫活动管理,保障动物源食品安全方面发挥了重要作用。本文概述了《家禽屠宰检疫规程》关于家禽屠宰场所定义、规程适用动物、检疫对象、检疫合格标准的判定等方面存在的问题,特别是针对家禽产品入库贮藏后才出厂如何出具检疫合格证明,提出可采取贮藏后继续调运或分销的检疫方式出具检疫证明这一解决方案。这提示在今后工作中扩大屠宰检疫的适用范围及检疫对象,进一步修订和完善屠宰检疫规程,提升屠宰检疫技术水平。     

A proposal to leverage high-quality veterinary diagnostic laboratory large data streams for animal health,public health,and One Health

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.     

洛阳生生牧业犊牛健康管理经验

近年来,牧场逐步走向现代化、规模化发展,生产水平大幅度提高,后备牛的培育也提升到了新的高度。犊牛健康管理是牧场成败的关键,但如何做好犊牛健康管理,成为制约奶牛业健康发展的瓶颈之一。为此,本文对河南洛阳生生牧业有限公司的犊牛健康管理工作进行了认真总结,旨在了解犊牛管理现状,分析存在的问题,探索适合大型牧场应用的犊牛管理模式,促进奶业健康、可持续发展。