Response of egg weight to the inclusion of various fats in layer diets

1. Brown egg layers were fed diets differing in oil content, oil source and linoleic acid concentration and the effect on performance from 22 to 69 weeks of age was studied.

2. The birds responded with an increasing mean egg weight up to a linoleic acid intake of 2.75 g/bird d.

3. Increasing the intake of readily absorbable oil without increasing linoleic acid concentration did not increase mean egg weight.     

Antimicrobial resistance and recovery of Salmonella,Campylobacter, and Escherichia coli from chicken egg layer flocks in Canadian sentinel surveillance sites using 2 types of sample matrices

Eggs are important to the diet of Canadians. This product is one of the supply-managed commodities in Canada, but unlike other commodities, where food safety risks are extensively explored and reported, information on the prevalence of enteric organisms (e.g., Salmonella, Campylobacter) and antimicrobial resistance (AMR) in layers in Canada are limited. This study was conducted to determine the prevalence of select bacteria and the associated AMR patterns in layer flocks using 2 sample matrices. Farms were located within FoodNet Canada and the Canadian Integrated Program for Antimicrobial Resistance Surveillance sentinel sites (SS). Fecal samples (Ontario: ON_SS1a, ON_SS1b) and environmental sponge swabs (British Columbia: BC_SS2a) were collected. Salmonella prevalence was 29% and 8% in ON_SS1a and ON_SS1b, respectively, and 7% in BC_SS2a. S. Kentucky and S. Livingstone were the most frequently isolated serovars and no S. Enteritidis was detected. Campylobacter was not detected in the BC sponge swabs but was isolated from 89% and 53% of Ontario fecal samples (ON_SS1a and ON_SS1b, respectively). Seven C. jejuni from Ontario were ciprofloxacin-resistant. Escherichia coli prevalence was high in both sample types (98%). Overall, tetracycline resistance among E. coli ranged from 26% to 69%. Resistance to ceftiofur (n = 2 isolates) and gentamicin (n = 2) was relatively low. There were diverse resistance patterns (excludes susceptible isolates) observed among E. coli in Ontario (10 patterns) and British Columbia (14 patterns). This study revealed that fecal samples are more informative for farm-level monitoring of pathogen and AMR prevalence. Without further validation, sponge swabs are limited in their utility for Campylobacter detection and thus, for public health surveillance.     

棉铃虫 JNKs 基因的克隆及表达分析

c-Jun氨基末端激酶(c-Jun N-terminal kinase, JNK)是MAPK家族(mitogen-activated protein kinases, 丝裂原活化蛋白激酶)的重要成员, 具有参与昆虫抗逆反应等多种功能。为明确JNK在棉铃虫 Helicoverpa armigera 中的表达特性及其对Bt杀虫蛋白的应激与免疫反应, 本研究通过PCR克隆得到2个棉铃虫 JNK 基因 HaJNK1 和 HaJNK2; 生物信息学分析结果显示: HaJNK1和 HaJNK2基因开放阅读框分别为1 191、1 143 bp, 分别编码397、381个氨基酸。系统进化树分析结果表明棉铃虫 HaJNK1 与黏虫 Mythimna separata 聚为一支, 亲缘关系较近, HaJNK2与 家蚕 Bombyx mori 聚为一支, 同源性较高。利用实时荧光定量PCR技术分析 HaJNK1 与 HaJNK2 在棉铃虫不同发育时期、不同组织中的表达量, 发现 HaJNK1 与 HaJNK2 在卵中表达量最高, 其次是雌成虫; HaJNK1 在性腺中表达量最高, 其次是唾液腺; HaJNK2 在头部表达量最高, 其次是性腺。取食Cry1Ac的4龄棉铃虫幼虫的中肠组织中, HaJNK1 与 HaJNK2 的表达量均显著升高。推测 HaJNKs 基因可能参与棉铃虫抵御Bt杀虫蛋白伤害的应激和抗逆反应。     

基于本体与认知经验的农业机器人视觉分类决策方法

基于小样本数据下认知经验知识辅助计算机进行决策,对实现农业领域机器人智能认知决策与助力智慧农业发展具有重要意义。本文在统计计数、支持向量机（SVM）等图像属性信息学习方法基础上,使用Protégé等工具,基于认知经验构建水果识别分类的专业知识库;然后根据图像颜色与形状信息,进行知识库搜索推理得到分类决策。实验在Fruit360数据集中共选择2091幅葡萄、香蕉、樱桃水果图像作为测试集,并各挑选30幅图像作为属性信息训练集与验证集,结果表明当前数据下葡萄与樱桃识别准确率为100%,香蕉识别准确率为93.30%。仅在知识库添加黄桃知识后,对984幅黄桃图像样本进行测试,其分类准确率为97.05%。表明本文方法能有效完成图像分类决策任务,且具有良好的过程可解释性、能力共享性和可拓展性。     

Proteomic profiling of plasma-derived small extracellular vesicles: a novel tool for understanding the systemic effects of tick burden in cattle

Cattle ticks pose a significant threat to the health and profitability of cattle herds globally. The investigation of factors leading to natural tick resistance in cattle is directed toward targeted breeding strategies that may combat cattle tick infestation on the genetic level. Exosomes (EXs), small extracellular vesicles (EVs) of 50 to 150 nm diameter, are released from all cell types into biofluids such as blood plasma and milk, have been successfully used in diagnostic and prognostic studies in humans, and can provide essential information regarding the overall health state of animals. Mass spectrometry (MS) is a highly sensitive proteomics application that can be used to identify proteins in a complex mixture and is particularly useful for biomarker development. In this proof of principle study, EXs were isolated from the blood plasma of cattle (Bos taurus) with high (HTR) and low tick resistance (LTR) (n = 3/group). Cattle were classified as HTR or LTR using a tick scoring system, and EXs isolated from the cattle blood plasma using an established protocol. EXs were subjected to MS analysis in data-dependent acquisition mode and protein search performed using Protein Pilot against the B. taurus proteome. A total of 490 unique proteins were identified across all samples. Of these, proteins present in all replicates from each group were selected for further analysis (HTR = 121; LTR = 130). Gene ontology analysis was performed using PANTHER GO online software tool. Proteins unique to HTR and LTR cattle were divided by protein class, of which 50% were associated with immunity/defense in the HTR group, whereas this protein class was not detected in EXs from LTR cattle. Similarly, unique proteins in HTR cattle were associated with B-cell activation, immunoglobins, immune response, and cellular iron ion homeostasis. In LTR cattle, unique exosomal proteins were associated with actin filament binding, purine nucleotide binding, plasma membrane protein complex, and carbohydrate derivative binding. This is the first study to demonstrate that MS analysis of EXs derived from the blood plasma of HTR and LTR cattle can be successfully applied to profile the systemic effects of tick burden.     

原子核电四极矩跃迁强度新经验公式

通过分析8≤ Z≤100偶偶原子核电四极矩跃迁强度 B（E2：0＋→2＋）与2＋态激发能 E（2＋）实验数据,提出了原子核电四极矩跃迁强度新经验公式 B（E2：0＋→2＋）＝33.65 Z2 A －0.71 E－1（2＋）．