生物炭连续施用对农田土壤氮转化微生物及N2O排放的影响

【目的】研究连续添加生物炭6年后对农田土壤氮转化相关微生物功能基因的影响,揭示生物炭影响作物产量和N₂O排放的微生物学机制,并为生物炭的推广使用提供理论依据。【方法】通过在潮土农田设置0（BC0,对照)、2.25（BCL,低量）、6.75（BCM,中量）和11.25 t·hm^-2（BCH,高量）4个秸秆生物炭量处理的田间定位试验,采用田间观测、化学分析、荧光定量PCR（qPCR）技术,系统研究施用生物炭对氧化亚氮（N₂O）排放、氨单加氧酶（amoA）、亚硝酸还原酶（nirK、nirS）、氧化亚氮还原酶（nosZ）基因丰度及夏玉米产量的影响。【结果】与对照BC0处理相比,施用生物炭可显著提高夏玉米籽粒产量,且BCM处理籽粒产量达到最大值10 811 kg·hm^-2,显著降低夏玉米生育期N₂O累积排放量,并以BCM处理减少N₂O排放效果最优。研究还发现,在夏玉米多个生育时期,与对照比较,生物炭施用可以显著提高耕层土壤无机氮储量和土壤含水量。此外,随着生物炭施用量增加,土壤氨氧化古菌（AOA）基因拷贝数在夏玉米大喇叭口期和成熟期均表现为先上升后下降趋势,且两个时期均以BCM处理最高,而氨氧化细菌（AOB）基因拷贝数在夏玉米大喇叭口期和成熟期分别为BCH处理和BCM处理最高。与对照相比,中、高量生物炭施用（BCM、BCH处理）可显著提高夏玉米大喇叭口期和成熟期土壤反硝化作用功能相关基因（nirK、nirS、nosZ）拷贝数。相关性分析表明,夏玉米成熟期土壤N₂O排放通量与土壤硝态氮、土壤含水量、AOA、AOB、nirK、nirS、nosZ呈显著负相关关系。【结论】施用生物炭通过增加土壤微生物氮转化功能基因丰度进而降低土壤N₂O排放,通过增加土壤耕层无机氮储量和土壤水分含量进而提高作物产量,并以中等用量（6.75 t·hm^-2）施用效果最优。     

棘孢木霉GYSW-6m1对草莓炭疽病的生防机制及其防病促生作用研究

探究棘孢木霉GYSW-6m1对草莓炭疽病的生防机制、盆栽防治效果及其促生作用,为筛选用于草莓炭疽病绿色防控的高效生防菌提供资源及应用技术。采用平皿培养法、显微镜观察法和盆栽灌根法测定了棘孢木霉GYSW-6m1对草莓炭疽病的生防机制、盆栽防效及其对草莓幼苗的促生效果。结果显示,棘孢木霉GYSW-6m1对草莓炭疽菌LC0220具有较强的竞争、抗生和重寄生作用,菌株GYSW-6m1能迅速占领营养空间,对峙培养3、5和7 d对病菌LC0220抑制率分别为68.06%、71.03%和79.03%,病菌LC0220在含有菌株GYSW-6m1发酵代谢产物平板上培养3、5和7 d抑菌率分别为79.18%、75.81%和76.13%,菌株GYSW-6m1挥发代谢物对病菌LC0220菌丝生长几乎没有抑制作用,菌株GYSW-6m1菌丝可通过接触、缠绕和穿透病菌LC0220的菌丝并引起菌丝消解断裂。菌株GYSW-6m1对草莓炭疽病具有较好的盆栽防治效果,处理LC0220+GYSW-6m1防效最显著,防效高达87.23%,处理GYSW-6m1（3 d）+LC0220和LC0220（3 d）+GYSW-6m1防效分别为52.72%和44.76%。棘孢木霉GYSW-6m1对草莓幼苗具有明显的促生效果,株高、根长、植株总鲜重和植株总干重均显著增加,促生率分别为7.96%、10.42%、22.54%和34.21%。棘孢木霉GYSW-6m1可以作为一种重要的生防资源用于草莓炭疽病的防治,具有一定的实用开发潜力。     

拟康宁木霉Tk1的分离鉴定、拮抗作用及其生物学特性

为了分离利用高效植物病害生物防治菌株,从广东药用植物金丝皇菊根部分离获得一株木霉菌株Tk1。经过形态观察、rDNA-ITS和EF-1α序列分析明确其为拟康宁木霉Trichoderma koningiopsis。用平板对峙培养法测定,该菌株对金丝皇菊枯萎病菌（尖孢镰刀菌Fusarium oxysporum）和柑橘炭疽病菌（胶胞炭疽菌Colletotrichum gloeosporioides）的抑制率分别为68.5%和77.1%,且在后期能完全覆盖或部分覆盖病原真菌。其无菌发酵液对金丝皇菊枯萎病菌的抑制率为45.55%。该菌株营养生长和产孢的最适碳源分别为乳糖和葡萄糖,最适氮源是酵母膏;在pH 4~11的培养基上均可生长、产孢,最适pH为7;12 h交替光照条件下菌丝的生长速度最快,全光照条件下产孢数量最大;该菌株的致死温度为73℃处理10 min。     

Community structure and carbon and nitrogen storage of sagebrush desert under grazing exclusion in Northwest China

Overgrazing is regarded as one of the key factors of vegetation and soil degradation in the arid and semi-arid regions of Northwest China.Grazing exclusion(GE)is one of the most common pathways used to restore degraded grasslands and to improve their ecosystem services.Nevertheless,there are still significant controversies concerning GE’s effects on grassland diversity as well as carbon(C)and nitrogen(N)storage.It remains poorly understood in the arid desert regions,whilst being essential for the sustainable use of grassland resources.To assess the effects of GE on community characteristics and C and N storage of desert plant community in the arid desert regions,we investigated the community structure and plant biomass,as well as C and N storage of plants and soil(0-100 cm depth)in short-term GE(three years)plots and adjacent long-term freely grazing(FG)plots in the areas of sagebrush desert in Northwest China,which are important both for spring-autumn seasonal pasture and for ecological conservation.Our findings indicated that GE was beneficial to the average height,coverage and aboveground biomass(including stems,leaves and inflorescences,and litter)of desert plant community,to the species richness and importance values of subshrubs and perennial herbs,and to the biomass C and N storage of aboveground parts(P<0.05).However,GE was not beneficial to the importance values of annual herbs,root/shoot ratio and total N concentration in the 0-5 and 5-10 cm soil layers(P<0.05).Additionally,the plant density,belowground biomass,and soil organic C concentration and C storage in the 0-100 cm soil layer could not be significantly changed by short-term GE(three years).The results suggest that,although GE was not beneficial for C sequestration in the sagebrush desert ecosystem,it is an effective strategy for improving productivity,diversity,and C and N storage of plants.As a result,GE can be used to rehabilitate degraded grasslands in the arid desert regions of Northwest China.     

Responses of plant community to the linkages in plant-soil C:N:P stoichiometry during secondary succession of abandoned farmlands,China

Succession is one of the central themes of ecology;however,the relationship between aboveground plant communities and underground soils during secondary succession remains unclear.In this study,we investigated the composition of plant community,plant-soil C:N:P stoichiometry and their relationships during secondary succession after the abandonment of farmlands for 0,10,20,30,40 and 50 a in China,2016.Results showed that the composition of plant communities was most diverse in the farmlands after secondary succession for 20 and 50 a.Soil organic carbon and total nitrogen contents slightly decreased after secondary succession for 30 a,but both were significantly higher than those of control farmland(31.21%-139.10%and 24.24%-121.21%,respectively).Moreover,C:N ratios of soil and microbe greatly contributed to the changes in plant community composition during secondary succession of abandoned farmlands,explaining 35.70%of the total variation.Particularly,soil C:N ratio was significantly and positively related with the Shannon-Wiener index.This study provides the evidence of synchronous evolution between plant community and soil during secondary succession and C:N ratio is an important linkage between them.     

Performance and uncertainty analysis of a short-term climate reconstruction based on multi-source data in the Tianshan Mountains region,China

Short-term climate reconstruction, i.e., the reproduction of short-term(several decades) historical climatic time series based on the relationship between observed data and available longer-term reference data in a certain area, can extend the length of climatic time series and offset the shortage of observations. This can be used to assess regional climate change over a much longer time scale. Based on monthly grid climate data from a Coupled Model Inter-comparison Project phase 5(CMIP5) dataset for the period of 1850–2000, the Climatic Research Unit(CRU) dataset for the period of 1901–2000 and the observed data from 53 meteorological stations located in the Tianshan Mountains region(TMR) of China during the period of 1961–2011, we calibrated and validated monthly average temperature(MAT) and monthly accumulated precipitation(MAP) in the TMR using the delta, physical scaling(SP) and artificial neural network(ANN) methods. Performance and uncertainty during the calibration(1971–1999) and verification(1961–1970) periods were assessed and compared using traditional performance indices and a revised set pair analysis(RSPA) method. The calibration and verification processes were subjected to various sources of uncertainty due to the influence of different reconstructed variables, different data sources, and/or different methods used. According to traditional performance indices, both the CRU and CMIP5 datasets resulted in satisfactory calibrated and verified MAT time series at 53 meteorological stations and MAP time series at 20 meteorological stations using the delta and SP methods for the period of 1961–1999. However, the results differed from those obtained by the RSPA method. This showed that the CRU dataset produced a low degree of uncertainty(positive connection degree) during the calibration and verification of MAT using the delta and SP methods compared to the CMIP5 dataset. Overall, the calibrated and verified MAP had a high degree of uncertainty(negative connection degree) regardless of the dataset or reconstruction method used. Therefore, the reconstructed time series of MAT for the period of 1850(or 1901)–1960 based on the CRU and CMIP5 datasets using the delta and SP methods could be used for further study. The results of this study will be useful for short-term(several decades) regional climate reconstruction and longer-term(100 a or more) assessments of regional climate change.     

Isoflucypram,the first representative of a new succinate dehydrogenase inhibitor fungicide subclass: Its chemical discovery and unusual binding mode

Succinate dehydrogenase inhibitors (SDHIs) have played a crucial role in disease control to protect cereals as well as fruit and vegetables for more than a decade. Isoflucypram, the first representative of a newly installed subclass of SDHIs inside the Fungicide Resistance Action Committee (FRAC) family of complex II inhibitors, offers unparalleled long‐lasting efficacy against major foliar diseases in cereals. Herein we report the chemical optimization from early discovery towards isoflucypram and the first hypothesis of its altered binding mode in the ubiquinone binding site of succinate dehydrogenase. © 2020 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.