我国Bt棉花商业化的环境影响与风险管理策略

Bt转基因棉花于1997年在我国商业化种植，到2006年种植面积已达棉花总面积的70％。环境影响监测表明，Bt棉花有效地控制了棉铃虫和红铃虫的发生和为害，但盲蝽蟓类害虫演化上升成为棉田的主要害虫。抗性分析显示，虽然棉铃虫自然种群对Bt棉花抗性基因频率没有明显的变化，但Bt棉花髙强度种植地区的棉铃虫耐受性正逐年提高，已成为影响Bt棉花持续利用的主要因素。基于Bt棉花环境风险和影响因子的综合分析，本文讨论了Bt棉花环境风险的管理策略。     

现代信息技术在害虫种群密度监测中的应用

害虫种群密度监测是害虫预测准确度关键，对农田生态系统中害虫综合管理有重要指导意义。该文从传统的害虫监测技术入手，分析了近年现代信息技术在害虫自动化监测中应用的进展，分析了计算机视觉、声音信号、传感器、雷达和遥感等信息技术在害虫密度估算中的优势和存在的问题，指出了计算机视觉技术和传感器技术是具有潜力的监测技术，阐述了现代信息技术在害虫自动化监测的主要方向和实现途径，对未来农田生态系统中害虫预测和综合管理具有重要意义。     

基于Illumina测序技术挖掘Bt杀虫基因资源

苏云金芽孢杆菌作为应用最为广泛的生物农药,已经成为化学合成农药必要的补充或替代品,其杀虫蛋白基因已成功的应用到转基因抗虫作物中。本文基于海南五指山和吊罗山热带原始雨林区土壤样品筛选分离的Bt菌株资源,利用第二代测序技术Illumina对分离的特异Bt菌株的杀虫基因进行全面分析,鉴定出新型Bt杀虫蛋白基因25个,其中包括5个新型的营养期杀虫蛋白基因（vip）和3个新型cyt基因。本研究表明第二代DNA测序技术可以高效用于挖掘Bt杀虫基因资源,而获得的新型杀虫蛋白基因将进一步丰富我国能够应用的杀虫基因种类。     

基于自适应判别深度置信网络的棉花病虫害预测

作物病虫害预测是病虫害防治的前提,利用深度学习预测作物病虫害是一个有效且具有挑战性的研究课题。该文针对深度置信网络(deep belief network,DBN)在作物病虫害预测中的训练耗时长和容易收敛于局部最优解等问题,将自适应DBN和判别限制玻尔兹曼机(restricted boltzmann machine,RBM)相结合,利用棉花生长的环境信息,提出一种基于自适应判别DBN的棉花病虫害预测模型。该模型由3层RBM网络和一个判别RBM(discriminative restricted boltzmann machine,DRBM)网络组成,通过3层RBM网络将棉花生长的环境信息数据转换到与病虫害发生相关的特征空间,通过自动学习得到层次化的特征表示,再由DRBM预测棉花病虫害的发生概率。该模型将自适应学习率引入到对比差度算法中,通过自动调整学习步长,解决了在传统DBN模型训练时学习率选择难的问题;在学习过程中通过在DRBM中引入样本的类别信息,使得训练具有类别针对性,弱化传统RBM无监督训练时易出现特征同质化问题,提高了模型的预测准确率。对实际棉花的"棉铃虫、棉蚜虫、红蜘蛛"虫害和"黄萎病、枯萎病"病害的平均预测准确率为82.840%,与传统BP神经网络模型(BPNN)、强模糊支持向量机模型(SFSVM)和RBF神经网络模型(RBFNN)分别提高19.248%,24.916%和27.774%。     

国际转基因作物的安全性争论——几个事件的剖析

摘要：国际转基因作物安全性争论的实质并不纯粹是科学问题,而是经济和贸易问题。对安全性争论的几个典型事件从科学角度作了分析。     

基于迁移学习的棉花叶部病虫害图像识别

针对传统图像识别方法准确率低、手工提取特征等问题,该研究以棉花叶部病虫害图像为研究对象,利用迁移学习算法并辅以数据增强技术,实现棉花叶部病虫害图像准确分类。首先改进AlexNet模型,利用PlantVillage大数据集训练取得预训练模型,在预训练模型上使用棉花病虫害数据微调参数,得到平均测试准确率为93.50%;然后使用数据增强技术扩充原始数据集,在预训练模型上再训练,得到最终平均测试准确率为97.16%。相同试验条件下,该研究方法较支持向量机(Support Vector Machine,SVM)和BP(Back Propagation,BP)神经网络以及深度卷积模型(VGG-19和GoogLeNet Inception v2)分类效果更好。试验结果表明,通过迁移学习能把从源领域(PlantVillage数据集)学习到的知识迁移到目标领域(棉花病虫害数据集),数据增强技术能有效缓解过拟合。该研究为农作物病虫害识别技术的发展提供了参考。     

Soil microbial properties in Bt (Bacillus thuringiensis) corn cropping systems

Growing Bt crops reduces the use of insecticides applied to them, but these crops could affect soil microorganisms and their activities. We evaluated the effects of Bt (Cry1Ab) corn (Zea mays L.) and deltamethrin ([S]-α-cyno-3-phenoxybenzyl [1R, 3R]-3-[2,2-dibromovinyl]-2,2-dimethylcyclopropane-1-carboxylate) insecticide application on soil microbial biomass C (MBC), β-glucosidase enzyme activity (final season only), bacterial functional diversity, and bacterial community-level physiological profiles (CLPPs) in corn monoculture in five seasons. We also determined if growing Bt corn in crop rotation would alter these effects. Statistical analysis of pooled data across seasons did not show any effects of Bt technology, insecticide application or crop rotation on soil microbial biomass or diversity even though differences between seasons and between the rhizosphere and bulk soil were observed. Annual analyses of results also showed that neither the Bt technology nor insecticide application affected soil MBC, enzyme activity, or functional diversity of bacteria in corn rhizosphere, but shifts in bacterial CLPPs due to Bt trait were observed in one year. Crop rotation effects on soil microbial properties were not observed in most cases. Where effects were observed, Bt corn grown in rotation resulted in greater MBC, enzyme activity and functional diversity than Bt corn grown in monoculture or conventional corn grown in rotation, and these effects were observed only in bulk soil. Therefore, the Bt technology is safe with respect to the non-target effects measured in this study. However, the effects of repeated use of Bt crops over many years on the soil environment should continue to be monitored.     

Soil fertility management and insect pests: harmonizing soil and plant health in agroecosystems

Cultural methods such as crop fertilization can affect susceptibility of plants to insect pests by altering plant tissue nutrient levels. Research shows that the ability of a crop plant to resist or tolerate insect pests and diseases is tied to optimal physical, chemical and mainly biological properties of soils. Soils with high organic matter and active soil biology generally exhibit good soil fertility. Crops grown in such soils generally exhibit lower abundance of several insect herbivores, reductions that may be attributed to a lower nitrogen content in organically farmed crops. On the other hand, farming practices, such as excessive use of inorganic fertilizers, can cause nutrient imbalances and lower pest resistance. More studies comparing pest populations on plants treated with synthetic versus organic fertilizers are needed. Understanding the underlying effects of why organic fertilization appears to improve plant health may lead us to new and better integrated pest management and integrated soil fertility management designs.     

山西省棉田昆虫群落的时间动态研究

以丰富度、多样性指数、昆虫总个体数、种间相遇机率和均匀度为数据指标,采用系统聚类法分 析了山西省棉田昆虫群落的时间动态,结合棉株的生理状况将其划分为4个阶段,并探讨了各阶段的害虫管理对策 。     

Transgenic Bt rice does not affect enzyme activities and microbial composition in the rhizosphere during crop development

Use of transgenic crops, including those expressing the insecticidal Cry protein from Bt, is increasing at a rapid rate in worldwide. Field and laboratory studies of transgenic Bt crops have been carried out to detect the persistence and activity of the Cry protein in soil and its effect on soil microorganisms to assess their risks to environment. However, there were few studies that evaluate the seasonal effects of Bt rice on rhizosphere soil microbial communities compared to those of insecticides commonly applied in paddy soil for the control of lepidopteran insects. In this study, seasonal effects of transgenic rice expressing the Cry1Ab insecticidal protein active against lepidoperan pests and the insecticide triazophos [3-(o,o-diethyl)-1-phenyl thiophosphoryl-1,2,4-triazol] on soil enzyme activities and microbial communities were compared under field conditions. During a 2-year field study, rhizosphere soil samples of transgenic-Bt rice (Bt), non-Bt parental rice (Ck) and non-Bt parental rice with triazophos (Ckp) applied were taken at four stages in the rice developmental cycle: seedling, booting, heading and maturing. Microbial processes were investigated by measuring different biochemical activities including those involved in C and P cycling. Denaturing gradient gel electrophoresis (DGGE) and terminal-restriction fragment length polymorphism (T-RFLP) analyses were used to compare rhizosphere microbial compositions. Some occasional and inconsistent effects of the application of triazophos on the bacterial composition in the rhizosphere soil of rice plant were found at the booting and heading stages as compared with that of transgenic-Bt rice. There were no statistically significant differences (P>0.05) in phosphatase activity, dehydrogenase activity, respiration, methanogenesis or fungal community composition in rhizosphere soil between Bt, Ck and Ckp over the rice cropping cycle. However, seasonal variations in the selected enzyme activities and microbial community composition in the rhizosphere soil of Bt, Ck and Ckp were clearly detected. These results suggested that the changes in rhizophere soil microbial community composition associated with the crop growth stage overweighed the application of triazophos and the cry1Ab gene transformation. KMD1 (Bt) rice expressing the cry1Ab gene had no measurable adverse effect on the key microbial processes or microbial community composition in rhizophere soil over 2 years of rice cropping.     

Comparing conventional and biotechnology-based pest management

Pest management has changed dramatically during the past 15 years by the introduction of transgenes into crops for the purpose of pest management. Transgenes for herbicide resistance or for production of one or more Bt toxins are the predominant pest management traits currently available. These two traits have been rapidly adopted where available because of their superior efficacy and simplification of pest management for the farmer. Furthermore, they have substantially reduced the use of environmentally and toxicologically suspect pesticides while reducing the carbon footprint of pest management as reduced tillage became more common, along with fewer trips across the field to spray pesticides. The most successful of these products have been glyphosate-resistant crops, which cover approximately 85% of all land occupied by transgenic crops. Over-reliance on glyphosate with continual use of these crops has resulted in the evolution of highly problematic glyphosate-resistant weeds. This situation has resulted in some farmers using weed management methods similar to those used with conventional crops. Evolution of resistance has not been a significant problem with Bt crops, perhaps because of a mandated resistance management strategy. Transgenic crops with multiple genes for resistance to different herbicides and resistance to additional insects will be available in the next few years. These products will offer opportunities for the kind of pest management diversity that is more sustainable than that provided by the first generation of transgenic crops.     

Regional problems need integrated solutions: Pest management and conservation biology in agroecosystems

Ecosystems produce goods and services that are essential for the wellbeing of humans and other organisms. The earth’s expanding human population is altering both pattern and process in ecosystems, and hence is impacting the provision of ecosystem goods and services at a variety of scales. Food production and other ecosystem services, such as the many benefits provided by forests, are not exclusive of one another at a regional scale. Although it is becoming obvious that uncoordinated local management is inadequate to address regional ecosystem changes in the face of regional drivers of change, few regional governments have addressed the need for holistic landscape management of regional ecosystem services. We compare and contrast two regional programs, the agricultural agenda of integrated pest management (IPM) and an as-yet hypothetical, fragmentation-oriented conservation agenda that we term ‘Regional Fragmentation Management’ (RFM). IPM has a strong practical foundation but is weak on theory. RFM has a stronger theoretical base, but is weak on practice and has mainly focused on protected areas. Both programs address only a small subset of the larger question of how to effectively maintain regional production of regional ecosystem services. Some of the successes of IPM practitioners in building institutions and achieving societal acceptance for their program, particularly in relation to regionally coordinated (‘areawide’) pest management, suggest that regional ecosystem management is plausible. IPM offers some ingredients of an institutional role model for a broader, more ambitious program that seeks to manage regional ecosystem services and processes in a sustainable manner. As the looming crisis of global climate change brings a potential window of opportunity for the introduction of novel approaches for managing deforestation, closer synergies between conservation and agriculture at regional scales seem not only possible, but essential.     

土壤酶活性对大田单季种植转Bt基因及转双价棉花的响应

利用田间试验,以转Bt基因棉花Z30、转双价（Bt+CpTI）棉花SGK321及其相应的等价基因Z16、SY321作为供试对象,研究棉花种植后对土壤水解/氧化还原酶类活性的影响。结果表明,转Bt棉花及转双价棉花的种植对各种土壤酶活性的影响不一致,转Bt棉花及转双价棉花种植显著降低了土壤蛋白酶和脱氢酶活性(P 0.05)。转Bt棉花还显著降低了土壤脲酶活性(P 0.05);转双价棉花种植同时显著降低土壤磷酸二酯酶、β-葡萄糖苷酶、过氧化氢酶和硝酸还原酶活性(P 0.05)。棉花品种及转基因行为（转入基因类型）均未给土壤酸性磷酸单酯酶和FDA活性带来影响;土壤芳基硫酸酯酶所受的影响主要来自于棉花品种自身。     

利用显著图构建注意力深度网络检测诱虫板蔬菜害虫

为提高诱虫板图像蔬菜害虫检测精度,针对背景区域容易导致误检的问题基于显著图分析技术构建了一种注意力深度网络害虫智能视觉检测方法。首先通过显著图筛选出粗候选区域;然后在粗候选区域内用全卷积神经网络精选出细候选区域;接着用神经网络分类器识别细候选区域害虫种类,得到含有冗余的若干检测框;最后用改进的非极大值抑制消除冗余检测框,实现诱虫板图像中目标害虫的检测。针对小菜蛾和瓜实蝇展开试验,获得86.4%的平均精度均值和0.111只的平均绝对计数误差均值,所提方法平均精度均值比Faster R-CNN和YOLOv4分别高2.74和1.56个百分点,平均绝对计数误差均值比Faster R-CNN和YOLOv4分别低0.006和0.003只;同时,消融试验中移除显著图注意力模块后平均精度均值下降了4个百分点、平均绝对计数误差均值增加了0.207只。试验结果表明,所提方法有效提高了诱虫板图像蔬菜害虫检测精度,其中,引入显著图注意力模块对提升检测精度有重要作用。     

盐胁迫下转Bt基因棉的K+、Na+转运及SOD活性的变化

通过对转Bt基因棉(苏抗103)和受体棉(苏棉12)在不同浓度盐胁迫条件下的钾钠离子的转运、累积分布以及它们SOD活性和H2O2含量变化的比较,证明了Bt抗虫基因的导入一方面导致棉花植株地上部钾累积增多,根部钾含量降低,从根往地上部的钾转运能力增强,而且根吸收能力也有增强趋势;然而另一方面,受盐胁迫时转Bt基因棉对钾的向上运输选择性减弱,地上部钠积累偏多,盐耐性减弱;SOD活性受盐胁迫影响,下降显著,超氧自由基的清除能力可能受到影响。结果表明,与常规棉有所不同,转Bt基因棉可能不太适宜在盐碱土壤上种植。     

Evaluation of an attract and kill strategy for western corn rootworm larvae

Western corn rootworm larvae are serious soil dwelling maize pests, and use carbon dioxide (CO₂) to locate maize roots. The efficacy of insecticides can be enhanced by a combination with an attractant used in host finding, known as attract and kill. This study tested the use of CO₂ emitting capsules as an attractant in combination with the soil insecticide tefluthrin. An observation device was developed to study the temporal and spatial distribution changes of the larvae and to test whether these are influenced by the application of the capsules. Furthermore it was evaluated to what extent larvae are killed by the insecticide in combination with the capsules and whether this could be used for an attract and kill strategy to manage this pest.The observation device enabled recovery of 20–40% of the inserted larvae. The spatial analysis of distance indices revealed a sequence of spatial and temporal distribution patterns of the larvae in the root system. This sequence of spatial distribution was disrupted by an application of the capsules around which the larvae started to aggregate. Up to 40% mortality of the larvae with attract and kill was observed and thus could be increased over the conventional application (11% mortality) at lower application rates of tefluthrin. In conclusion an attract and kill strategy might be valuable to target this soil dwelling pest. Experiments under field conditions are needed to explore its potential as a management option for the western corn rootworm. Moreover, a further development of the capsules with host specific cues is needed to increase the attractiveness and subsequent mortality of the larvae.     

基于SVM和区域生长结合算法的南方主要蔬菜害虫分类识别

该文基于支持向量机（support vector machine,SVM）与区域生长结合算法,设计了对黄曲条跳甲、烟粉虱、小菜蛾、蓟马这四类蔬菜害虫进行分类识别的检测算法。该方案将识别过程融入到分割中,采用网格法进行区域生长种子点的选取,简化图像处理的步骤。该文每种蔬菜害虫训练样本图像为60幅,测试样本为40幅。试验展示,基于其形态、颜色特征,该算法可以将南方重大蔬菜害虫正确分割识别出来,对黄曲条跳甲、烟粉虱、小菜蛾、蓟马成功率为分别为96.4%、93.2%、95.4%、98.2%,算法达到了对多种害虫进行分类的效果,有较好的应用前景。     

Performance and behaviour of Bt cotton hybrids under sub-optimal rainfall situation

Growth behaviour and yield performance of Bt cotton hybrids under sub-optimal rainfall situation is of practical significance, because more than 60% of the cotton area is under rainfed condition in India. A field trial conducted in a sandy clay loam soil during the seasons 2006–2007, 2007–2008, and 2008–2009 to study the growth behaviour and yield performance under scanty rainfall situation revealed that growth in both Bt and non-Bt cotton hybrids significantly differed under these parameters. The crop experienced moisture stress at the early stages of growth and again during boll development phase in 2006–2007 and 2008–2009. However, Bt hybrids (1691 kg ha^?1) produced higher seed cotton yield than non-Bt hybrids (1092 kg ha^?1), while the controlled variety (LRA 5166) performed the average of these two (1399 kg ha^?1). Similar trend was evident in respect of bolls per plant (at 90 DAP) and the final harvested bolls in both Bt and non-Bt cotton. Because of Bt gene, the early formed bolls were protected from the boll worms which led to less damage and higher yield with Bt hybrids. Amongst the hybrids, RCHB 708 Bt (1917 kg ha^?1) performed better over the others.     

转基因棉种植对土壤氧化还原酶活性的影响

转Bt基因棉和转Bt+CpTI基因棉及相应非转基因棉的盆栽试验研究表明,转基因作物生长30天时可向土壤中释放Bt杀虫晶体蛋白,而双抗棉种植时CpTI杀虫晶体蛋白的释放量与作物品种有关;转基因棉种植对土壤过氧化氢酶、脱氢酶和硝酸还原酶的活性影响研究表明,生长30天时,与等价基因系非转基因棉相比,转Bt基因棉和双抗棉A的种植并未使三种酶活性发生显著变化,而双抗棉B的种植使土壤脱氢酶活性显著下降。从杀虫晶体蛋白的释放和对酶活性的影响来看,双抗棉B的种植对土壤的生物活性扰动更大。     

Lower fumonisin mycotoxin levels in the grain of Bt corn grown in the United States in 2000-2002

Fumonisins were monitored in corn grain collected from Bt hybrids grown in 107 locations across the United States in 2000-2002. Bt corn hybrids contain the Cry1Ab protein from Bacillus thuringiensis that controls European corn borers and other stalk-boring pests. Fumonisin levels were frequently lower in grain from Bt hybrids grown in field trials under conditions of natural (FACT trials) or manual insect infestation (university trials). Over three years of FACT trials, there were 126/210 comparisons when fumonisin levels in grain from control hybrids were >2 ppm, exceeding U.S. FDA guidance levels of 2 ppm for human food. Grain from Bt hybrids was at or below 2 ppm of fumonisins for 58 of the 126 comparisons. The use of Bt hybrids can increase the percentage of corn grain that would be suitable for use in food and feed.