四川省毒害植物——紫茎泽兰调查报告

紫茎泽兰是恶性毒害植物,已传入攀枝花市和凉山州两地１４县３区１市,分布面积３７５１６０ｈｍ２,每年以２０～３０ｋｍ的速度向北向东传播。其繁殖能力和侵占性极强,是农、林、牧业生产的大敌,应采取切实可行的方法,发动群众,人人动手,把防除与开发利用结合起来,开展综合防治。     

基于卷积神经网络的农作物叶片病害诊断

农作物病害诊断对于及时发现并采取防控措施具有重要意义.本研究针对苹果、玉米、番茄、葡萄等典型农作物的常见叶片病害问题,使用了两种目前使用最广泛的卷积神经网络——VGG 16及Resnet50,对典型农作物叶片病害进行识别.使用AI Challenger比赛的农作物叶片病害数据集图像,并对这些图像进行预处理,构建了47 ...     

食源性抗菌药耐药性风险分析指南介绍

介绍了2011年国际食品法典委员会(CAC)制定的《食源性抗菌药耐药性风险分析指南》主要内容,为非人用抗菌药相关的食源性抗菌药耐药性应用及我国制定抗菌新兽药的安全评价原则、风险评估方案和管理政策提供参考.     

鸡白介素18基因原核表达质粒构建

根据已发表的江西土鸡白介素 -1 8(Ch IL-1 8) c DNA编码基因序列设计引物 ,用PCR技术从 p MDCh IL-1 8质粒扩增出编码鸡IL-1 8成熟蛋白基因 ,重组于 p BV2 2 0表达载体上 ,将重组质粒转化大肠杆菌 JM1 0 9(DE3 ) ,转化子经温度诱导的表达产物 ,SDS-PAGE电泳鉴定约 2万 ,N端开头 1 5个氨基酸序列测定分析 ,证明获得了鸡 IL-1 8成熟蛋白 ,为今后深入研究鸡 IL -1 8的生物学特性及其临床应用打下了基础     

Adhesion of Escherichia coli K88ab fimbriae to porcine enterocytes: effect on enzymatic activities of the brush border, and cyclic AMP and GMP levels

We have studied the cellular alterations, after in vitro adherence, of purified K88ab fimbriae to membranes of porcine enterocytes. Effects on enzymatic activities as disaccharydases and alkaline phosphatase show low changes. While cAMP levels were decreased (44%), guanylyl cyclase was increased (up to 200%), and levels of cGMP were in consequence significantly affected. This study support the role of cyclic GMP as intracellular mediator for adherence, and suggest their implication in disease, affecting a membrane-mediated mechanisms for guanylate cyclase activation, that is unique in the intestine.     

法系獭兔血液中AKP活性与体尺、体重性状的关系

对20只40日龄法系獭兔和20只68日龄法系獭兔（公、母各半）血液中AKP活性进行了测定，并分析了40日龄与68日龄法系獭兔血液中AKP活性与体重、体长、胸围的相关性。结果表明：40日龄时法系獭兔血液中AKP活性高于68日龄；日龄相同时，公兔活性显著高于母兔（P＜0.05）；40日龄AKP活性与体重有较为密切的关系，其他相关则不显著。     

Short communication: investigation of the feasibility of genomic selection in Icelandic Cattle

Icelandic Cattle is a local dairy cattle breed in Iceland. With about 26,000 breeding females, it is by far the largest among the indigenous Nordic cattle breeds. The objective of this study was to investigate the feasibility of genomic selection in Icelandic Cattle. Pedigree-based best linear unbiased prediction (PBLUP) and single-step genomic best linear unbiased prediction (ssGBLUP) were compared. Accuracy, bias, and dispersion of estimated breeding values (EBV) for milk yield (MY), fat yield (FY), protein yield (PY), and somatic cell score (SCS) were estimated in a cross validation-based design. Accuracy (r^) was estimated by the correlation between EBV and corrected phenotype in a validation set. The accuracy (r^) of predictions using ssGBLUP increased by 13, 23, 19, and 20 percentage points for MY, FY, PY, and SCS for genotyped animals, compared with PBLUP. The accuracy of nongenotyped animals was not improved for MY and PY, but increased by 0.9 and 3.5 percentage points for FY and SCS. We used the linear regression (LR) method to quantify relative improvements in accuracy, bias (Δ^), and dispersion (b^) of EBV. Using the LR method, the relative improvements in accuracy of validation from PBLUP to ssGBLUP were 43%, 60%, 50%, and 48% for genotyped animals for MY, FY, PY, and SCS. Single-step GBLUP EBV were less underestimated (Δ^), and less overdispersed (b^) than PBLUP EBV for FY and PY. Pedigree-based BLUP EBV were close to unbiased for MY and SCS. Single-step GBLUP underestimated MY EBV but overestimated SCS EBV. Based on the average accuracy of 0.45 for ssGBLUP EBV obtained in this study, selection intensities according to the breeding scheme of Icelandic Cattle, and assuming a generation interval of 2.0 yr for sires of bulls, sires of dams and dams of bulls, genetic gain in Icelandic Cattle could be increased by about 50% relative to the current breeding scheme.