陕西长武玉米降水指数保险设计

天气指数保险能有效规避传统农业保险的弊端。本研究基于陕西长武长序列产量数据和气象数据,采用统计分析的方法进行种植面积、产量、单产、趋势产量、相对气象产量以及玉米生育期需供水的分析;采用基于损失的风险评估方法评价种植风险;采用基于Logistic模型的费率厘定方法进行纯费率厘定;根据降水指数和减产率的相关性,设计降水指数;采用投影寻踪的方法设计降水指数赔付方案。结果表明:长武玉米种植面积、产量、单产、趋势产量以及相对气象产量都呈现出增加趋势;生育期平均需水650 mm,降水434mm,亏缺216 mm;从4月下旬到8月下旬,玉米呈现出水分亏缺的状态,7月中旬抽雄期水分亏缺最多,为33.65 mm;9月出现微弱的水分盈余;1994、1995和1997年为减产年,减产率分别为14%、20%和44%,相应降水距平分别为-42.44%、-47.72%和-29.71%;玉米种植轻、中、重和巨灾的发生概率分别是7.49%、3.40%、1.43%和1%;玉米降水指数保险纯费率为2.92%;生育期内旬降水(阈值为40 mm)累积值指定为玉米降水指数,并以降水指数为变量进行分段赔付。本研究剖析了长武玉米种植状况和干旱灾害,并设计了玉米的降水指数保险产品,为长武玉米农业保险提供了新的选择,对解决农业保险目前的困境具有重要的意义。     

小麦倒春寒研究现状与进展

由于全球气候变暖,近年来小麦低温灾害事件频发,尤其是拔节-孕穗期的倒春寒灾害已成为制约小麦产量和品质的重要因素之一。本文综述了小麦倒春寒灾害的发生特点(鉴定与分级、时空特征),倒春寒对小麦生理特性(叶片、茎秆、穗部、根系)和产量、质量的影响,总结了抗倒春寒小麦育种、倒春寒危害的分子生物学机制及灾害的监测预警与风险评估等方面的研究进展,并从小麦抗倒春寒遗传基础、倒春寒危害小麦评价体系和防控技术体系等方面进行了展望,以期为抗倒春寒小麦品种的遗传改良和栽培调控新措施的建立提供理论依据。     

川滇生态屏障区景观生态风险评价及影响因素

探究重点生态功能区景观生态风险时空演变特征,揭示人类活动对景观生态风险恶化的潜在影响,对防范和化解景观生态风险、促进区域可持续发展具有重要意义。以2000、2010、2020年土地覆被数据为基础,运用ArcGIS 10.8和Fragstats 4.2等软件,基于景观格局指数和脆弱度指数构建景观生态风险评价模型,借助空间分析方法,揭示川滇生态屏障区景观生态风险时空演变特征,采用地理探测器测度不同区域范围的自然和社会经济因素对景观生态风险的影响。结果表明: 2000—2020年间,研究区人造地表、水体、灌木地面积总体呈上升趋势,林地、耕地、草地、湿地、裸地、冰川永久积雪面积总体呈下降趋势,景观类型转移以林地、草地、耕地间转移为主,其中,耕地转人造地表最显著;景观生态风险平均值有所下降,景观生态风险等级分布与景观类型变化及转移特征较为一致;研究区整体上以低生态风险、较低生态风险和较高生态风险等级为主;景观生态风险的时空演化特征总体受高程、降水等自然因素影响,经济社会及区域可达性对局部风险恶化区的影响较为突出。     

利用CRISPR-Cas9技术失活黑曲霉中果胶酶基因及突变株性能评价*

我国果胶酶制剂使用广泛但专一性不高,高效、专一的果胶酶制剂在市场上仍然匮乏。利用基因工程技术改造果胶酶生产菌株——黑曲霉来生产单一成分的果胶酶成为解决果胶酶应用需求的一种有效方案。构建一种高效的CRISPR-Cas9基因编辑技术,可为构建高产单一性果胶酶的黑曲霉底盘菌株提供有效的基因编辑工具。首先敲除产果胶酶黑曲霉基因组上的pyrG基因构建尿嘧啶营养缺陷型菌株AnΔpyrG,并在AnΔpyrG菌株的pyrG基因位点定点整合Cas9基因表达盒和pyrG基因表达盒,构建组成型表达Cas9基因的黑曲霉菌株AnCas9,再构建含有gpdA启动子、锤头结构核酶、HDV核酶的稳定性表达sgRNA的pLM2-sgRNA质粒,建立CRISPR-Cas9基因编辑体系。利用该技术失活AnCas9菌株中的2个聚半乳糖醛酸酶基因4978020和4983861来检测构建的CRISPR-Cas9基因编辑效率并检测4978020基因功能缺失菌株的表型变化和产酶变化,结果表明果胶酶基因编辑效率大于50%,AnΔ4978020的表型和果胶酶酶活性与出发菌株均无明显变化。在黑曲霉中成功构建了高效的Cas9基因编辑技术,4978020基因功能缺失也不影响菌株表型,为构建高产单一性果胶酶黑曲霉底盘菌株奠定基础。     

呼吸中的疾病诊断标志物及检测技术

人类呼出气体中的各种化合物能提供各种疾病和健康状况的重要信息。近年来,由于红外、电化学、化学发光等新技术的重大突破和质谱仪的使用,使得在极低浓度下精确测量呼出的挥发性有机化合物(VOCs)和气溶胶颗粒成为可能,呼吸检测领域因而取得了重大进展:,呼吸检测因其可以作为一种实时、快速和无创的方法来评估和监测各种疾病与健康状况信息,在科学研究、临床运用中引起了广泛关注。本综述主要概述呼出气体成分分析方法及在疾病诊断中的研究与应用情况,旨在为将来疾病的实时、快速和无创诊断提供一种新的策略.     

6种复配杀虫剂对七星瓢虫的毒力测定及风险评估

采用药膜法分别测定了10％甲维盐·茚虫威悬浮剂、12％甲维盐·虫螨腈悬浮剂、12％虫螨腈·虱螨脲悬浮剂、14％呋虫胺·螺虫乙酯悬浮剂、22％吡虫啉·螺虫乙酯悬浮剂和6％吡虫啉·高效氯氟氰菊酯悬浮剂6种复配杀虫剂对七星瓢虫Coccinella septempunctata Linnaeus幼虫急性毒性,并进行了初级风险评估.结果 显示,6种药剂对七星瓢虫48 h的LR5o(半致死用量,Median lethal rate)分别为0.812、2.255、4.082、22.735、6.755和0.00467 g a.i/hm2.在农田内暴露场景下,6种复配杀虫剂对七星瓢虫风险均不可接受;在农田外暴露场景下,仅有14％呋虫胺·螺虫乙酯悬浮剂和22％吡虫啉·螺虫乙酯悬浮剂对七星瓢虫风险可接受,其它均不可接受.结果 表明在田间最大推荐用量下,6种药剂对七星瓢虫的初级风险评价均存在高风险.     

Assessment of risk management and control measures against coronavirus disease

This article presents the COVID-19 situation and control measures taken by the Government of Pakistan. Two waves of pandemic are faced globally and similar in the study area. We have investigated the risk management decision in two phases. Primarily, strict lockdown was observed from March 2020 to July 2020 and smart lockdown was enforced from August 2020 to December 2020. It has been studied that during strict lockdown, COVID cases reduced gradually but reopening of institutes and smart lockdown strategy resulted gradual increase in confirmed cases and death rates. During first wave of COVID-19 in Pakistan, a total confirmed number of patients of COVID-19 were 263,496 till 18th of July 2020 with total deaths of 5,568 people and 204,276 recoveries, while total number of COVID-19 patients reached 555,511 till 9th of February 2021 with total deaths of 12,026 people. Province of Sindh was affected badly with total number of 251,434 COVID-19 cases followed by Punjab Province with total number of 161,347 COVID-19 till 9th of February 2020.     

Ageing Effect Evaluation on HD-sEMG Signals Using CCA Approach

ObjectivesThe objective of the proposed study is to exploit the technology of high-density surface electromyography (HD-sEMG), in order to evaluate the muscle activation in young and elderly subjects during a daily life gesture, namely, Sit To Stand (STS), using wireless connected ambulatory equipment (TMSi©) and Blind Source Separation (BSS) approach with Canonical Correlation Analysis (CCA).Materials and methodsSixteen subjects participated (50% females) divided into two categories (‘H1’: young (30.62 yrs ±5.92, 23.95 kg/m² ±3.08), versus ‘H2’: old (61.87 yrs ±7.98, 23.4 kg/m² ±3.38)), in the recording of HD-sEMG signals, using 32-electrodes square grids (4×8), during Sit To Stand (STS) motion, three times at spontaneous speed. The studied muscle is the Rectus Femoris (RF) muscle. The recorded HD-sEMG signals were analyzed with CCA approach to extract correlation coefficient sets according to two age categories (young versus old), in order to evaluate its discriminating power with ageing. Statistical tests (t-test) were used to evaluate the discrimination for these two categories.ResultsThe calculation of CCA correlation coefficients showed a significant difference between young and old category concerning the mean CCA correlation coefficient (P<0.001***) and also the standard deviation of the CCA correlation coefficients (P<0.0001****).ConclusionThe obtained results are promising and indicate a clear difference between the obtained source variability using CCA method between the young and the old tested subjects during daily life motion. Furthermore, these estimated sources seem to be impacted by both anatomical and functional modifications with ageing.     

Determination of protein concentration in downstream biomanufacturing processes by in-line index of refraction

Protein concentration determination is a necessary in-process control for the downstream operations within biomanufacturing. As production transitions from batch mode to an integrated continuous bioprocess paradigm, there is a growing need to move protein concentration quantitation from off-line to in-line analysis. One solution to fulfill this process analytical technology need is an in-line index of refraction (IoR) sensor to measure protein concentration in real time. Here the performance of an IoR sensor is evaluated through a series of experiments to assess linear response, buffer matrix effects, dynamic range, sensor-to-sensor variability, and the limits of detection and quantitation. The performance of the sensor was also tested in two bioprocessing scenarios, ultrafiltration and capture chromatography. The implementation of this in-line IoR sensor for real-time protein concentration analysis and monitoring has the potential to improve continuous bioprocess manufacturing.