圆柏对几种农田杂草及作物的化感潜力分析

为探究圆柏（Sabina chinensis）的化感作用，本研究采用培养皿滤纸法研究圆柏叶片浸提液对地肤（Kochia scoparia）、稗草（Echinochloa crusgalli）、藜（Chenopodium album）、反枝苋（Amaranthus retroflexus）、马齿苋（Portulaca oleracea）5种杂草种子和向日葵（Helianthus annuus）、燕麦（Avena sativa）、油菜（Brassica campestris）、荞麦（Fagopyrum esculentum）4种作物萌发和生长的影响，并用圆柏叶片、树枝、树皮粉末和浸提液进行盆栽抑草效果检测。结果表明：圆柏叶片浸提液对5种杂草种子萌发和幼苗生长具有显著的抑制作用，对地肤、藜、反枝苋萌发及生长的化感效应指数均在-0.98以上；盆栽抑草结果表明，圆柏不同部位对5种杂草种子萌发和稗草及反枝苋株高生长均有较好的抑制作用，叶片化感强度大于树皮和树枝，叶片粉末拌土处理抑草效果好于浸提液叶面喷施；对作物的化感作用结果表明，圆柏叶片浸提液稀释1.5倍时，抑制荞麦种子萌发但不影响其株高及根生长，不影响燕麦种子萌发但降低其株高和根长生长，抑制油菜的发芽势和发芽指数但不影响其种子萌发率，促进油菜株高及根长生长，不影响向日葵种子萌发和生长。综上所述，圆柏具有良好的抑草活性，对作物影响较小。     

土壤调理粉剂处理下茶园土壤重金属污染特征及潜在风险评价

本文以贵州安顺不同土壤调理粉剂处理下“瀑布毛峰”茶园土壤为供试样品,通过样品测试与理化分析,对CK处理(0 kg/hm²)、A处理(600 kg/hm²)、B处理(750 kg/hm²)和C处理(900 kg/hm²)下茶园土壤重金属含量特征及污染水平进行探讨。结果表明：不同土壤调理粉剂处理下,研究区域土壤重金属Cr、Hg、Pb、Cu、Zn、Ni、As和Cd的变异程度各异,且土壤中这8种重金属含量也各不相同,其中pH、Cr、Pb和Ni含量在C处理中最高,As、Hg和Cd含量在A处理中最高,Cu和Zn含量在B处理中最高;对各重金属元素进行相关性分析可知,Ni与Pb之间存在极显著相关性,表明两者之间的同源性极高,其余元素之间相关性特征不明显;由综合污染指数（P_综）得出A处理为轻度污染,CK处理、B处理和C处理均为中度污染,不同处理土壤中Cr均在国家Ⅱ级标准(GB15618—2008)规定范围内,样点达标率为100%,在所选定的污染评价因子中,Cu的贡献率最高,为土壤主要影响因子,其次是Cd和Ni;研究区土壤重金属单项潜在生态风险指数($E_{r}^{i}$)中Hg属于强生态风险,其余7种重金属处于轻微潜在生态风险等级;综合潜在生态风险指数(RI)平均值为196.79,总体处于中等潜在生态风险水平,Hg对RI的贡献率最大,是最主要的生态风险元素。     

Relationships Among the Feeding Behaviors of a Mirid Bug on Cotton Leaves of Different Ages and Plant Biochemical Substances

Apolygus lucorum (Meyer-Dür) (Hemiptera: Miridae) tends to feed on young plant tissues. To explore the relationship between stylet probing behaviors of adult A. lucorum and conditions of cotton leaves, we conducted an experiment using electropenetrography (EPG). Behaviors were recorded on four cotton varieties, in relation to thickness and biochemical traits of differently-aged leaves. Cotton leaf age had a significant effect on the probing behavior of A. lucorum but cotton variety did not. One-day-old leaves of A. lucorum received the highest mean number of stylet probes (penetrations) per insect, and longest mean durations per insect of combined stylet probing or its components, cell rupture and ingestion behaviors. All of the leaf traits (thickness and biochemical substances) were similar among these four cotton varieties. Leaf thickness had a significantly negative effect on the same four variables above. Gossypol and tannin also had a negative impact on combined probing duration. Redundancy analysis showed that the four EPG variables were closely related to nutrient substances (amino acids, sugar, and water) while they had the opposite relationship with plant defense substances (gossypol and tannin). On cotton in the seedling stages, A. lucorum fed more readily on the youngest, thinnest leaves in our no-choice EPG experiments. Nutrients and chemical resistance substances determined the probing duration of A. lucorum. Our findings can contribute to better understanding of patterns of feeding and host consumption by A. lucorum, ultimately improving cotton resistance to A. lucorum.     

基于卷积神经网络马铃薯叶片病害识别和病斑检测*

针对自然环境下马铃薯叶片病害识别率低和晚疫病斑定位难的问题,基于大田环境中采集的马铃薯叶片图像,首先对马铃薯叶片病害进行识别,对比AlexNet、VGG16、InceptionV3、ResNet50、MobileNet五种神经网络模型,结果表明InceptionV3模型的识别效果准确率最高,可达98.00%。其次对马铃薯叶片的晚疫病斑进行检测,提出一种改进型的CenterNet-SPP模型,该模型通过特征提取网络获取对象的中心点,再通过中心点回归获得中心点偏移量、目标大小等图像信息,训练后的模型在验证集下的mAP可达90.03%,以F₁为评价值分析对比其它目标检测模型,CenterNet-SPP模型的效果最好,准确率为94.93%,召回率为90.34%,F₁值为92.58%,平均检测一张图像耗时0.10 s。为自然环境下马铃薯叶片病害识别和检测提供较为全面的深度学习算法和模型研究基础。     

马尾松叶表微生物多样性

为发掘对林木生长发育有利的优良微生物资源,并筛选适合叶表微生物的收集方法,以马尾松针叶为试验材料,分别用悬摇法和超声波法收集马尾松叶表微生物,用扩增子高通量测序技术、MUSCLE和Qiime软件研究马尾松叶表微生物的多样性。结果表明:扫描电镜观测结果显示,马尾松针叶表面定殖有大量微生物,包括真菌(菌丝及孢子)和细菌。扩增子高通量测序结果表明,马尾松叶表微生物物种丰富,包含细菌运算分类单位(OTUs)490个,真菌OTUs 1273个。马尾松叶表细菌以未分类的蓝细菌属(unidentified_Cyanobacteria)(36.53%)、未分类的拜叶林克氏菌属(unidentified_Beijerinckia)(28.60%)、鞘氨醇单胞菌属(Sphingomonas)(2.35%)为优势属;叶表真菌以枝孢属(Cladosporium)(2.45%)、拟盘多毛孢属(Pestalotiopsis)(0.92%)、无头孢菌属(Capnobotryella)(0.91%)为优势属。针对叶表细菌多样性的研究表明,悬摇法和超声波法均有较高的物种检出度;在叶表真菌多样性的研究中超声波法优于悬摇法,但超声波法样品间数据变异性较大,测定结果不稳定。     

夏玉米蒸散优化参数模型及参数敏感性分析

分别采用2种不同的冠层阻力模型和土壤阻力模型,组合成4种Shuttleworth-Wallace(S-W)模型,模拟夏玉米农田灌浆期的逐时蒸散量,以涡度相关法观测蒸散量为实测值检验模型改进的效果,找出最优冠层阻力模型和土壤阻力模型,并分析最优S-W模型对各阻力参数的敏感性。结果表明:李俊改进型有效叶面积指数冠层阻力模型和Sellers土壤阻力模型组合的S-W模型模拟效果最好,S-W模型估算玉米田蒸散的精度显著提高,蒸散发模拟值与实测值的相关系数、一致性指数更接近1,蒸散发模拟的相对误差和均方根误差变小。敏感性分析表明,在计算各个阻力参数模型中,S-W1模型估算蒸散发对冠层阻力最敏感,其次是土壤阻力和有效叶面积指数;采用改进型有效叶面积指数冠层阻力模型和Sellers土壤阻力参数模型组合后,在一定程度上提高了模型精度,提高了计算准确率。     

生防菌解淀粉芽胞杆菌Ht-q6可湿性粉剂的研制及对番茄病害的田间防效

为了研制一种高效、安全及无污染的生防菌剂，本文以核桃内生生防菌解淀粉芽胞杆菌Ht-q6为材料，通过室内筛选和田间试验，确定了生防菌Ht-q6可湿性粉剂的最佳助剂配方及对番茄叶霉病和灰霉病的田间防效。结果表明，可湿性粉剂的最佳配方为载体硅藻土（85%）、润湿剂十二烷基苯磺酸钠（6%）、分散剂木质素磺酸钠（6%）、稳定剂KH₂PO₄（1.0%）、紫外保护剂抗坏血酸（1.0%）。该粉剂芽胞含量2.28×10¹⁰ cfu/g、杂菌率0.5%、pH 5.8、细度93.5%、干燥减量2.5%、润湿时间45 s、悬浮率85.6%，符合国家标准值，质量合格。同时采用喷雾法测定了不同浓度菌剂对大棚中番茄病害的防治效果，结果表明，稀释200×（制剂用量225 g/667m²）的可湿性粉剂对番茄灰霉病和叶霉病的防效分别为77.1%和74.3%，与对照药剂75%百菌清的防效相比，叶霉病防效差异不显著而灰霉病防效差异显著。该菌剂的研制在生产实践中为番茄病害提供一条生防途径。     

Responses of aerobically grown iron chlorosis tolerant and susceptible rice (Oryza sativa L.) genotypes to soil iron management in an Inceptisol

Iron deficiency is a serious nutritional disorder in aerobic rice, causing chlorosis, poor yields and reduced grain nutritional quality. The problem can be managed by complementing the use of Fe-efficient plant type with a suitable Fe management strategy. In the present paper, we report the effect of eight iron management practices to resolve the problem of iron (Fe) chlorosis through the use of an iron deficiency tolerant (IDTR) and iron deficiency susceptible (IDSR) rice genotype, i.e. Pusa 33 and ADT 39, respectively. Fe deficiency tolerance of these genotypes was related to the root release of PS which enabled a higher uptake of Fe in the IDTR than the IDSR under Fe deficiency. In general, IDTR performed better than the IDSR as evident from a significant increase in total iron, active iron, chlorophyll content and grain and straw yield. IDSR produced the highest grain and straw yield under slow iron release nano clay complex source. Grain Fe content of the IDTR and IDSR increased by 18.9 and 13.4%, respectively, under recommended dose of Fe. The results identified the most effective soil management strategies for the alleviating Fe deficiency chlorosis and improving Fe nutrition of both IDTR and IDSR genotypes.     

Determination of critical nitrogen dilution curve based on leaf area index for winter wheat in the Guanzhong Plain,Northwest China

Excessive use of nitrogen(N) fertilizers in agricultural systems increases the cost of production and risk of environmental pollution. Therefore, determination of optimum N requirements for plant growth is necessary. Previous studies mostly established critical N dilution curves based on aboveground dry matter(DM) or leaf dry matter(LDM) and stem dry matter(SDM), to diagnose the N nutrition status of the whole plant. As these methods are time consuming, we investigated the more rapidly determined leaf area index(LAI) method to establish the critical nitrogen(N_c) dilution curve, and the curve was used to diagnose plant N status for winter wheat in Guanzhong Plain in Northwest China. Field experiments were conducted using four N fertilization levels(0, 105, 210 and 315 kg ha-1) applied to six wheat cultivars in the 2013–2014 and 2014–2015 growing seasons. LAI, DM, plant N concentration(PNC) and grain yield were determined. Data points from four cultivars were used for establishing the N_c curve and data points from the remaining two cultivars were used for validating the curve. The N_c dilution curve was validated for N-limiting and non-N-limiting growth conditions and there was good agreement between estimated and observed values. The N nutrition index(NNI) ranged from 0.41 to 1.25 and the accumulated plant N deficit(N_(and)) ranged from 60.38 to –17.92 kg ha~(-1) during the growing season. The relative grain yield was significantly affected by NNI and was adequately described with a parabolic function. The N_c curve based on LAI can be adopted as an alternative and more rapid approach to diagnose plant N status to support N fertilization decisions during the vegetative growth of winter wheat in Guanzhong Plain in Northwest China.