典型草原枯落物分解过程中官能团的动态特征

选择锡林浩特东部国家气候观象台的生态监测研究样地,对大针茅(Stipa grandis)、羊草(Leymus chinensis)、糙隐子草(Cleistogenes squarrosa)、知母(Anemarrhena asphodeloides)枯落物的化学结构特征进行阐释。结果表明:(1)枯落物分解速率呈先增大后减小的变化趋势,且知母枯落物分解速率高于大针茅、羊草和糙隐子草;枯落物总碳(TC)含量为富集-释放模式,在第120d时,知母枯落物TC含量高于其他3种植物。(2)大针茅、羊草、知母、糙隐子草枯落物所含的主要官能团为-OH;=C-H、-CH 2、-CH 3;C=O;C=O、C=C;C-O。(3)不同植物枯落物官能团含量在分解初期迅速减少,在分解后期减少趋势较为缓慢,与分解过程中枯落物的分解速率变化趋势一致;知母的含碳官能团含量在分解结束后最低,而羊草的则最大,且知母和糙隐子草损失量最大,与分解过程中枯落物TC含量的特征一致。(4)大针茅的支链化指数最大,羊草的最小;糙隐子草的芳香性指数最大,知母的最小。不同植物芳香性指数在分解初期迅速减少,在分解后期减少趋势较为缓慢,与分解速率变化趋势一致。     

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。     

岷江源头区乔灌交错带地被物和土壤持水能力

通过野外调查和室内试验,定量评价了岷江源头区交错带云杉针叶林、云杉针叶林—山生柳灌丛交错区(乔灌)和窄叶鲜卑花灌丛3个林型的地被物(枯落物和苔藓)和土壤持水特征。结果表明:3个林型地被物储量差异显著,其大小顺序为乔灌(72.67t/hm~2)针叶林(43.87t/hm~2)灌丛(11.00t/hm~2);针叶林和乔灌的苔藓层的储量分别为27.00,44.71t/hm~2,占地被物总储量的61.5%以上。地被物层最大持水总量表现为乔灌(21.23mm)针叶林(11.33mm)灌丛(2.45mm);针叶林和乔灌枯落物层的最大持水量分别为7.45,12.12mm,均大于苔藓层的最大持水量;针叶林和乔灌枯落物层和苔藓层最大持水量分别是其储量的4.3~4.4,1.4~2.0倍。土壤容重随土层深度增加而增大,持水能力则随土层深度增加而降低;0—20cm最大持水量大小顺序为乔灌(153.70mm)灌丛(132.28mm)针叶林(128.25mm)。综合地被物持水和土壤持水,交错带生态系统的持水能力在不同林型间差异显著,其最大持水量表现为乔灌(174.93mm)针叶林(139.58mm)灌丛(134.73mm),其中,土壤层是生态系统持水能力的主导层,占综合持水量的87.9%以上。研究结果有利于全面认识岷江源头区生态水文效应。     

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。     

重庆四面山林下典型植被对水分截留的影响

为探究西南地区林下植被与水分运移的定量关系,研究林下植被对水分截留的影响,在重庆四面山选取草珊瑚(Sarcandra glabra Nakai)、杜茎山(Maesa japonica Moritzi)、常山(Orixa japonica Thunb)3种典型常见灌木,采用人工模拟降雨方法分别研究了单株灌木、枯落物截留特征以及灌木和枯落物组合结构的截留特征。结果表明:(1)单株灌木、枯落物、灌木和枯落物组合结构对降雨的截留过程大致分为3个阶段,即快速截留阶段、饱和稳定阶段和降雨结束滞后冠滴雨阶段;(2)3种典型灌木草珊瑚、杜茎山、常山的截留量均随降雨强度的增大呈先增大后减小的规律;(3)枯落物最大截留量与降雨强度呈正相关关系,枯落物单位面积质量与枯落物平均最大、最小截留量间呈正相关关系;(4)与单株灌木和枯落物各自截留状况相比,灌木和枯落物组合结构最大截留量与降雨强度呈正相关关系,且快速截留阶段历时较长、最大截留量也较大。在雨强为35mm/h时,草珊瑚、杜茎山和其枯落物组合结构最大截留量大于灌木和枯落物各自最大截留量之和,常山和其枯落物组合结构最大截留量小于常山和其枯落物各自的最大截留量之和,在雨强为70,95mm/h时各组合结构最大截留量小于单株灌木和枯落物单独的最大截留量之和。林下灌木和枯落物在水分运移过程中均扮演了重要角色,其中枯落物对水分截留的贡献更大。因此,合理进行林下植被构建与配置能有效截留水分,对减少林地土壤侵蚀有一定的积极作用。     

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.