THE EFFECT OF NITROGEN SOURCES ON YIELD AND QUALITY OF SALAD ROCKET GROWN IN DIFFERENT MONTHS OF THE YEAR

The effects of months of the year and nitrogen (N) sources on salad rocket (Eruca sativa Mill.) yield, quality, and nitrate accumulation was investigated during the years 2002 and 2003. In both years, seeds were sown on the first day of April, May, June, July, August and September. Three different nitrogen sources were used: farmyard (cattle) manure (100 tonnes·ha^?1), calcium nitrate [Ca(NO₃)₂]-15.5% N (150 kg N·ha^?1) and ammonium sulfate [(NH₄)₂SO₄)]-21% N (150 kg N·ha^?1). Yield, leaf color, dry matter, vitamin C and total glucosinolate content and nitrate accumulation was assessed. Growing months affected all the assessed parameters significantly both years, with the exception of hue angle in 2003, whereas nitrogen source only influenced yield and nitrate accumulation in 2003. In both years the highest yield was obtained in April, but vitamin C and total glucosinolate contents were higher during summer months, and leaves were slightly darker colored. Chemical fertilizers increased the yield compared to farmyard manure; however, they also increased nitrate accumulation slightly, without any significant difference between them. Nitrate accumulation never exceeded 300 mg kg^?1 fresh weight (FW), which is well below the acceptable daily intake of 3.7 mg nitrate per kg^?1 bodyweight set by European Commission's Scientific Committee on Food.     

Determination of Energy Use Efficiency and Greenhouse Gas (GHG) Emissions of Pistachio (Pistacia vera L.) Production in Adıyaman Province

The purpose of this research is to perform the energy use efficiency and greenhouse gas (GHG) emissions of pistachio production. This research was performed for 2016 and 2017 production season in Ad?yaman province of Turkey in dry conditions in 2017. The data supplied from research were collected from 152 different farms by face to face surveys with simple random sampling method. The agricultural input energies and output energies used in pistachio production were computed to determine the energy use efficiency. According to the research findings, the energy inputs in pistachio production were computed respectively as 4561.11?MJ ha^?1 (35.50%) diesel fuel energy, 3206.24?MJ ha^?1 (24.96%) chemical fertilizers energy, 2420.93?MJ ha^?1 (18.84%) machinery energy, 1020.06?MJ ha^?1 (7.94%) human labour energy, 715.69?MJ ha^?1 (5.57%) animal labour energy, 656.95?MJ ha^?1 (5.11%) farmyard manure energy and 266.16?MJ ha^?1 (2.07%) chemicals energy. Total input energy was computed as 12,847.14?MJ ha^?1. Energy values of pistachio yield were computed as 15,008.65?MJ ha^?1. Energy use efficiency, specific energy, energy productivity and net energy computations were computed respectively as 1.17, 22.32?MJ kg^?1, 0.04?kg MJ^?1 and 2161.51?MJ ha^?1. The consumed total energy input in pistachio production can be classified as 49.01% direct, 50.99% indirect, 18.62% renewable and 81.38% non-renewable. Total GHG emission was computed as 1123.72?kg CO_2?eqha^?1 for pistachio production with the greatest portions for human labour (32.42%). The human labour followed up chemical fertilizers usage (23.21%), diesel fuel consumption (19.89%), machinery usage (15.30%), farmyard manure usage (5.65%), chemicals usage (3.25%) and animal labour usage (0.27%), respectively. Additionally, GHG ratio value was computed as 1.95 kgCO_2?eqkg^?1 in pistachio production.

     

Prediction of CIELab data and wash fastness of nylon 6,6 using artificial neural network and linear regression model

We tried to predict the CIELab data and wash fastness values of scoured nylon 6.6 knitted fabric dyed with 1:2 metal-complex acid dyes and aftertreated using three different methods named as syntan, syntan/cation and full backtan by artificial neural network (ANN) with Levenberg-Marquardt algorithm and regression models. Afterward, the predicting performance of these models was tested and compared with each other using unseen data sets. We were able to achieve to predict the all colorimetric data satisfactorily such as L*, a*, b*, C, h ^o and wash fastness performance using both models. The statistical findings indicated that the regression models provide more accurate prediction for all colour data with an average error of 1% contrast to previous study. In terms of prediction of fastness, artificial neural network is a bit more useful than regression models for prediction of staining value on the nylon part of adjacent multifiber.     

现代农业装备助推农业产业化发展

农业机械化和农业产业化是农业现代化的重要组成部分。通过分析农业装备在农业产业化经营的作用,明晰农业机械化与农业产业化的关系,找到农机与农业产业化的结合点,促进农业机械化和农业产业化和谐发展。     

对一起经营死因不明猪狗案的处罚

通辽市科尔沁区兽医卫生监督检验所经群众举报在公安人员的协助下,于1999年11月26日晚7点30分左右,在孔家乡后西艾力村商某家查出死因不明的猪狗及副产品。随即对此书件进行立案查处,新闻单位予以电视曝光。呈现场及询问过程在商某家现场查出6头死猪。1条死狗、10张猪皮。其中3头死猪10张猪皮在库房内用羊皮遮盖。另外3头死猪1条死狗在房间内解冻。商某坦白这些死猪死狗是低价收购而得。其经营死猪死狗已有2年,死猪从几元至十几元一头,死狗几十元一条。解冻后剥皮分割出售给市场上的肉摊或熟食加工点。2立案处理商某经营死因不明猪狗行…     

Research on Lightning Intruded Wave for 500 kV Substations

The study on overvoltage for 500 kV substation caused by lightning intruded wave is presented. In this paper, we calculate by using electromagnetic transient program (EMTP) and combine substation with incoming lines ,so some influence factors can be considered such as impulse voltage second characteristic of insulator strings, lightning stroke point on the incoming lines and impulse grounding resistance of towers. The results show that the method is close to the practice and some factors of incoming lines are important to overvoltage.     

双重PCR快速鉴别无乳链球菌和海豚链球菌

根据无乳链球菌的cfb基因和海豚链球菌16SrRNA基因序列,设计、合成2对引物,优化扩增条件,建立了快速鉴别无乳链球菌和海豚链球菌的双重PCR方法.用该方法扩增无乳链球菌和海豚链球菌,可分别获得474、296bp的特异性片段,扩增嗜水气单胞菌、铜绿假单胞菌等其他常见鱼病原菌无特异性片段.该方法可实现对无乳链球菌和海豚链球菌的快速鉴别,具较高的灵敏度,可检测到基因组含量分别为3.2×10-3ng/μL的无乳链球菌和3.0×10-2ng/μL的海豚链球菌.对采集自广东与海南两省养殖罗非鱼病鱼的11份病原样品进行检测,均可获得474bp片段,测序与BLAST分析结果表明,扩增到的序列均为无乳链球菌cfb基因序列,可从分子水平上确定这些样品为无乳链球菌,与生化鉴定结果一致.     

美国红鱼养殖种群的同工酶酶谱及其生化遗传初步分析

利用水平淀粉凝胶电泳技术，对50尾美国红鱼肌肉及肝脏组织进行了14种同工酶的初步分析。结果表明，美国红鱼多态位点比例P＝0.292，实际平均杂合度Hp=0.057，预期杂合度He=0.108，每个位点的有效等位基因数Ae=1.108，Hardy-Weinberg遗传偏离指数D＝－0.472。     

烟草丛顶病毒RNA依赖RNA聚合酶(RdRp)介导的体外复制体系

通过重叠PCR扩增得到烟草丛顶病毒(Tobacco bushy top virus,TBTV)中国分离物RdRp的编码序列,构建以pMALC2X为基础载体的原核表达载体pMAL-TB-RdRp。0.5 mM IPTG诱导可特异性表达分子量约为120 kDa的MBP-RdRp融合蛋白。温度梯度实验显示,18℃下诱导表达的MBP-RdRp融合蛋白的可溶性比例较高,约17%;经亲和层析纯化的MBPRdRp可特异性识别TBTV正链和负链的3'末端序列,催化体外复制;对正负链的3'末端的体外复制效率存在差别,识别负链3'末端的体外复制效率明显高于正链3'末端。本研究创建的TBTV RdRp介导的体外复制体系为进一步研究TBTV基因组复制调控奠定了基础。     

生食牡蛎从离水到餐桌安全与质量管理现状与对策

生食牡蛎的安全与质量是影响其销售价格的关键要素。本文首先回顾了各国关于生食牡蛎的安全质量管理现状,并从安全性、活力状态、风味质量三个方面综述。然后从流通链的角度,系统分析了养殖、捕捞、清洗、净化、运输、销售等关键节点对生食牡蛎品质的影响。牡蛎从养殖到销售的整个过程中,可能受到多重安全危害因子的影响,对其食用安全性造成潜在威胁,其中主要包括贝类毒素、重金属、有害微生物、病毒等,通过规范的养殖和流通管理可消除这些危害。此外,从离水到餐桌,牡蛎暴露于一系列可能引发应激反应的环境压力源（干露、温度、氧气、密度等）,导致活力状态和风味品质下降严重,也造成了重大经济损失。由于胁迫方式、胁迫强度、持续时间等差异,不同节点上相同或不同的应激源的影响非常复杂。快速准确的活力评价是进行流通中质量管理的基础,本文综述了牡蛎流通过程中遭遇多重胁迫时,其代谢与活力的关联,以及代谢物对风味特性的影响。为生食牡蛎进行精准的品质控制提供理论依据。