藏东南18种杜鹃属植物花粉形态的比较

利用电子显微镜，对藏东南18种杜鹃属植物花粉的形态特征进行观察与分析，以期为分类鉴定提供孢粉学依据。18种杜鹃属植物分属于杜鹃亚属、常绿杜鹃亚属、糙叶杜鹃亚属。结果表明，供试花粉均为四合体花粉，四合体直径以大萼杜鹃最大，林芝杜鹃最小。单粒花粉球形或近球形，为3孔沟，黄杯杜鹃萌发孔的长宽值最高，为17.38 μm×3.32 μm，而林芝杜鹃萌发孔的长宽值最低。花粉外壁由大小、形状不一的颗粒组成，其中黄毛雪山杜鹃和白毛杜鹃的颗粒形状较为特殊，为长颗粒状。综合认为，花粉形态特征不宜作为分类鉴定的主要依据，但仍具有积极的参考价值。     

不同种植模式对土壤质量及马铃薯生长的影响

为探究轮作藜麦、玉米及连作对马铃薯根系生理及根系发育的影响及其机制,比较了3种种植模式(轮作藜麦、轮作玉米及连作)对马铃薯根际土壤微环境、根系生理、根系发育及植株生长的影响,以期为减轻马铃薯连作障碍、筛选较好的轮作模式提供理论依据。结果表明:(1)轮作藜麦、玉米明显降低土壤pH,提高土壤中有机质、碱解氮和有效磷含量,增强土壤肥力相关酶的活性,增加土壤细菌、放线菌数量和细菌与真菌数量比值(B/F),降低真菌数量,改善马铃薯根际土壤微环境,对植株生长发育起到促进作用,表现在马铃薯的株高、茎粗、地上部干重、根干重、单株薯重均有一定程度的增加。(2)轮作藜麦、玉米使得马铃薯根系超氧化物歧化酶(SOD)、过氧化物酶(POD)和过氧化氢酶(CAT)活性上升,超氧阴离子产生速率下降,丙二醛(MDA)含量减少,渗透调节物质含量增加,表明通过轮作藜麦和玉米使得连作对马铃薯植株造成的胁迫得到了一定程度缓解。(3)轮作藜麦、玉米显著提高了马铃薯根系总根长、根表面积、根体积、根平均直径和根尖数,说明轮作藜麦及玉米促进了马铃薯根系的生长发育,这与轮作藜麦及玉米改善土壤理化性质、生物学性质及促进马铃薯地上部分的发育相对应。比较轮作藜麦及轮作玉米的整体表现,以轮作玉米调控马铃薯连作障碍的效果较好。     

烯效唑浸种对干旱胁迫下工业大麻幼苗形态、渗透调节物质及内源激素的影响

选用0.4 mg·L~(-1)的烯效唑(S_(3307))浸种工业大麻"火麻一号"种子,采用盆栽试验方法,于大麻三叶期设置清水浸种后正常供水(CK)、清水浸种后干旱胁迫(D)和烯效唑浸种后干旱胁迫(D+S)3个处理,探讨烯效唑浸种对干旱胁迫下工业大麻幼苗形态、渗透调节物质及内源激素的影响。结果表明:与D处理的植株相比,D+S处理显著提高了根系干、鲜重,分别提高46.67%～61.54%和16.46%～25.53%;恢复了胁迫后期的地上部干、鲜重,复水4 d后地上部干、鲜重较D处理分别提高了4.38%和2.23%;促进了根系生长的能力,干旱胁迫8 d后,D+S处理较D处理根长、根表面积、根体积、根总投影面积、分枝数、交叉数和根尖数分别增加了34.48%、34.77%、69.10%、70.00%、29.62%、54.28%和33.07%;提高了幼苗叶片SPAD值,降低了细胞膜透性,增加了可溶性糖和可溶性蛋白含量,干旱胁迫8 d后D+S处理较D处理SPAD值增加了28.30%,细胞膜透性减少了17.22%,可溶性糖和可溶性蛋白含量分别增加了17.32%～36.78%和5.07%～7.94%。干旱胁迫8 d后,D+S处理使工业大麻叶片中脱落酸(ABA)含量增加了1.02倍,水杨酸(SA)和茉莉酸(JA)含量分别降低了17.79%和14.40%。可见,烯效唑浸种能通过调控工业大麻幼苗生长及生理指标来增强其抗旱能力,缓解干旱胁迫对幼苗造成的伤害。     

贺兰山野生大型真菌孢子多样性分析

为探讨贺兰山野生大型真菌孢子的多样性,2012-2016年在内蒙古贺兰山南寺和哈拉乌沟两地进行取样,每个样地分别由5人从沟谷入口处进行拉网式调查,共获得4 000余份样品,经过微观形态观察和基因ITS序列比对,鉴定出8目25科69属189种大型真菌,主要对其孢子形态特征、表面特征及长宽比进行分析,得到如下结论:质量性状上,孢子形态特征和表面特征相互独立;数量性状上,大小孢子长宽比、孢子极端比和平均比均具有一致性和关联性,显示孢子数量特征的稳定性;菌种间孢子质量性状和数量性状具有很强的多样性;按照孢子多样性低、中、高分类,贺兰山野生大型真菌物种数分别为152种、26种和11种;孢子多样性分类为大型真菌鉴别、分类提供了基本依据。     

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。     

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.     

Phenotypic plasticity of two invasive alien plant species inside a deciduous forest in a strict nature reserve in Italy

ABSTRACT

Invasive alien plant species (IAPs) represent one of the main biological threats to biodiversity worldwide. Information about their phenotypic plasticity are needed to increase awareness about their future invasive potential. A study about phenotypic plasticity in response to contrasting light regimes and its quantification by a plasticity index (PI) of two IAPs (Ailanthus altissima and Robinia pseudoacacia) inside a Strict Nature Reserve was conducted. R. pseudoacacia showed a 70% higher PI, with a strongly greater value at morphological leaf level, associated with a greater ability to survive and grow in forest understory, explaining its greater widespread. Otherwise, A. altissima showed its highest PI at physiological level, which was associated with the ability to colonize and grow in environments with high-light regimes. Based on these results, the conservative management has limited the presence of A. altissima by its lower ability to grow in forest understory. In fact, the small-scale gaps in the forest infrastructure, that could allow its recruitment, are originated only from the death of a single tree or small group of trees. Regarding R. pseudoacacia, it is critical to maintain this type of management because any disturbances resulting in large openings could further promote its presence inside the Reserve.