不同施肥处理对马铃薯农田土壤理化性状及产量的影响

为了探究不同施肥处理对马铃薯农田土壤理化性状及产量的影响,试验地采用马铃薯连作模式,设置3个施肥处理,即：单施化肥(T)、有机肥配施化肥(YTF 1/2)、全量有机肥(YTF)。结果表明：在不同施肥处理下马铃薯农田土壤的理化性质和马铃薯产量发生了变化,其中变化最为明显的土壤指标有土壤容重、孔隙度、饱和导水率、有效磷。YTF处理较T处理可分别显著(P<0.05)降低土壤容重16.8%,增加土壤孔隙度12.7%,提升饱和导水率25.3%。YTF处理可显著提升土壤有效磷含量43.0%,但各处理间土壤pH、有机碳、全氮、全磷、碱解氮、速效钾之间差异并未达到显著水平。同时,较之T处理,YTF处理亦可显著提升土壤团聚体含量。YTF和YTF 1/2处理可分别较T处理提升马铃薯产量24.6%和12.8%。因此,施用有机肥不仅可以改善土壤结构,改良土壤物理性状,亦能促产增收。     

基于网络药理学分析黄芪防控猪繁殖与呼吸综合征的物质基础及靶点信息

为揭示黄芪防控猪繁殖与呼吸综合征(PRRS)的物质基础及靶点信息,采用网络药理学方法,从中药系统药理学数据库与分析平台(TCMSP)筛选黄芪的潜在活性成分、作用靶点,同时从比较毒理基因组学数据库(CTD)收集PRRS相关宿主基因,最后构建"活性成分-关键靶点"网络、蛋白互作网络,并进行GO功能和KEGG通路富集分析。结果显示,从黄芪筛选出的17个潜在活性成分中,有14个潜在活性成分共计65个基因靶点与PRRS相关宿主基因交叉,其中槲皮素、山奈酚、刺芒柄花素、异鼠李素等潜在活性成分可能对治疗PRRS有重要作用,TNF、IL8、TP53、IL6、IL10、IL1B、JUN等45个蛋白靶点间存在相互作用。此外,黄芪治疗PRRS的作用机制可能涉及细胞外间隙和胞浆等组分,并可能与炎症反应、细胞凋亡、T细胞受体信号通路等生物过程相关。本研究为临床应用黄芪及其提取物治疗PRRS奠定了理论基础。     

滇中冷凉山区不同播期反季花椰菜产量效益分析

为摸索滇中高海拔冷凉山区反季节栽培花椰菜的最佳播期以集成高效栽培技术推广应用,于2017—2018年选择海拔2250 m的云南省峨山县塔甸镇大西村地块进行9个播期的2年随机区组试验。结果表明,花椰菜生育期随播期推迟而延长,而花球采收期除播期7月10日外随播期推迟而逐渐增长;花椰菜株高、外叶数、开展度、球高、球径和单球重等农艺性状有随播期延迟呈现先逐渐减小而后又逐渐增大的趋势;莲座期黑腐病和霜霉病的病情指数随着播期的延迟呈现先逐渐升高而后又逐渐下降的趋势;花椰菜小区产量随着播期的延迟呈现先逐渐下降而后又逐渐提高的趋势,播期4月20日和4月30日与其余7个播期产量之间的差异达极显著水平。综合花椰菜在冷凉山区反季节栽培的生产实际和各播期产量产值及商品性表现,推荐滇中高海拔冷凉山区反季节栽培花椰菜的最佳播期为4月20—30日。     

基于多分类器DS证据理论融合的水果识别研究

针对不同分类器对不同水果种类识别准确率的不均衡问题,提出一种基于多分类器DS证据理论融合的水果识别方法。该研究选择kaggle上fruits360数据集中的5种水果作为研究对象,首先对预处理后的5种水果图像的颜色、纹理、形状特征进行提取,分别选用BP神经网络、K均值、SVM三种分类器,结合被测图像在每种分类器上的识别结果和各个分类器对不同水果的分类准确率,构建基本概率函数(BPA函数),通过DS证据融合规则对分类器融合后对被测图像进行识别。试验结果表明:该方法对5种水果的识别平均准确率为95.2%,总体标准偏差为0.02993,在提高单分类器识别准确率的同时,解决了分类器对各种水果识别的不均衡问题。对10组测试集识别的平均准确率为93.5%,总体标准偏差为0.055,该方法对水果种类的识别更准确和稳定。     

箭筈豌豆、玉米产量对间作和施氮水平的响应

研究不同施氮水平下箭筈豌豆、玉米产量对单作和间作的响应,对于优化栽培措施、提高作物产量具有重要意义。本试验于2017年在甘肃河西绿洲灌溉区进行,重点研究是不同施氮水平下箭筈豌豆、玉米在单作及间作模式中干物质累积、产量构成、产量表现。结果表明,间作箭筈豌豆干物质累积量与单作相比在不施氮(N0)、减量施氮(N1)和常规施氮(N2)处理下分别提高44.0%、36.7%和37.2%;施氮水平间,间作模式下N1比N2和N0提高9.1%和25.5%,单作模式下提高9.4%和32.1%。间作玉米干物质累积量与单作相比在N0、N1和N2处理下分别提高23.3%、22.5%和23.0%;施氮水平间,间作模式下N1比N2和N0提高9.3%和19.8%,单作模式下提高9.9%和20.7%。间作模式下箭筈豌豆豆荚数和玉米穗数较相应单作分别增加7.6%和14.5%,两者的产量较单作分别提高34.9%和27.0%。由通径分析可知,箭筈豌豆产量决定次序是豆荚数>粒重>单荚粒数,玉米产量决定次序是穗数>粒重>穗粒数。间作结合施氮量240 kg/hm²能获得较高干物质积累量和产量,是河西灌溉区玉米间作箭筈豌豆适宜的施氮水平。     

非洲猪瘟防控的经验和误区

自从2018年8月我国报告首例非洲猪瘟疫情以来，经过3年多的艰难探索，我们面对非洲猪瘟疫情从最初的恐惧和束手无策，到现在的精准清除和“与狼共舞”，疫情防控从被动应对进入到常态化管理和无疫小区建设阶段；非洲猪瘟可防可控的预测得到了实践证明。但是由于我国幅员辽阔，养猪模式多样，疫情防控水平参差不齐；非洲猪瘟疫情零星散发的风险持续存在。下面就我们的观察和调查，对近年来非洲猪瘟防控上的一些经验和误区进行简要分析。     

Molecular identification of blast resistance genes in rice landraces from northeastern India

Rice blast disease caused by the fungus Magnaporthe oryzae is one of the most devastating diseases causing huge losses worldwide. In the present study, major blast resistance genes were investigated in landraces originating from northeastern India. Based on phenotypic evaluation, 288 landraces were classified into three distinct groups: resistant (75), moderately resistant (127) and susceptible (86). The genetic frequencies of the 18 major blast resistance genes were between 6.2% and 27.4%, with only two genotypes possessing a maximum of nine blast resistance genes. The cluster and population structure analysis grouped the landraces into two groups. Through principal coordinate analysis, the scatter plots partitioned the resistant and moderately resistant landraces into different groups. Analysis of molecular variance showed maximum (96%) diversity within populations and least (4%) diversity between populations. Association analysis identified six markers, CRG4_2, RM72, tk59-2, pi21_79-3, RM1233 and RM6648, that are significantly associated with blast disease and explained a phenotypic variance of 1.1–6.5%. The associated genes could be used in marker-assisted rice breeding programmes for gene pyramiding to develop rice varietal resistance against blast disease. The present study represents a valuable blast resistance genetic resource that could be used for identification of new R genes, donors for blast resistance, and genomic studies.     

Assessing the efficacy and impact of management of an invasive species in a protected area: Poa annua on sub‐Antarctic Macquarie Island

Plant eradication is difficult, particularly in remote, protected areas. The Southern Ocean Islands are very isolated and highly protected, but the flora contains many alien plants. Small restricted populations have been eradicated, but eradication of established species has proven difficult. A better understanding of the efficacy of control methods at sub‐Antarctic temperatures and their off‐target impacts may increase eradication success. With interest in controlling non‐native Poa annua in the region, we aimed to determine if physical and chemical methods can control P. annua (the sub‐Antarctic biotype) in sub‐Antarctic conditions and examined their impact on native plants. We quantified the effectiveness of physical control methods on P. annua in situ on sub‐Antarctic Macquarie Island through field‐based experiments and assessed their selectivity on P. annua compared with native grasses. We also quantified the effectiveness of several herbicides on P. annua at sub‐Antarctic temperatures and assessed their selectivity on native grasses. Of the four physical disturbance methods tested, none effectively reduced P. annua cover as one‐off treatments. Of the herbicide treatments, glyphosate and trifloxysulfuron sodium were effective and were less damaging to native grass species, indicating potential selectivity. Physical control was of limited effectiveness, but did not affect native species richness. An integrated weed management programme utilising the strategic use of selective herbicides with follow‐up chemical and physical intervention may balance control and biodiversity outcomes. This research highlights the importance of site‐specific testing of control methods and understanding off‐target impacts of control when managing alien plant species in protected areas.     

Tomato brown rugose fruit disease: current distribution,knowledge and future prospects

Tomato is the most economically important fruit/vegetable crop grown worldwide. However, viral diseases remain an important factor limiting its productivity, with estimated quantitative and qualitative yield losses in tomato crops often reaching up to 100%. Many viruses infecting tomato have been reported, while new viral diseases have also emerged. The climatic changes the world is experiencing can be a contributing factor to the successful spread of newly emerging viruses, as well as the establishment of disease in areas that were previously either unfavourable or where the disease was absent. Because antiviral products are not available, strategies to mitigate viral diseases rely on genetic resistance/tolerance to infection, control of vectors, improvement in crop hygiene, roguing of infected plants and seed certification. Tomato brown rugose fruit virus (ToBRFV) is an emerging viral threat to tomato productivity and is currently spreading into new areas, which is of great concern to the growing global production in the absence of mitigation measures. This review presents the current knowledge about ToBRFV and future prospects for an improved understanding of the virus, which will be needed to support effective control and mitigation of the impact it is likely to cause.     

Projecting the suitability of global and local habitats for myrtle rust (Austropuccinia psidii) using model consensus

Myrtle rust (caused by Austropuccinia psidii) affects more than 500 known host species in the Myrtaceae family. Three different modelling approaches (CLIMEX, MaxEnt and Multi-Model Framework) were used to project the habitat suitability for myrtle rust at both global and local scales. Current data on the global occurrence of myrtle rust were collected from online literature and expert solicitation. Long-term averages of climate data (1960–1990) were sourced from WorldClim and CliMond websites. Recent reports of myrtle rust in New Zealand were used for validation of model outputs but not in model training and testing. The model outputs were combined into a consensus model to identify localities projected to be suitable for myrtle rust according to two or three models (hotspots). In addition to the locations where the pathogen is currently present, all models successfully projected independent occurrence data in New Zealand suitable for establishment of the pathogen. Climate suitability for the pathogen was primarily related to temperature followed by rainfall in MaxEnt and the CLIMEX model. The results confirmed the optimum temperature range of this pathogen in the literature (15–25 °C). Additional analysis of the precipitation variables indicated that excessive rain (more than 2000 mm in warmest quarter of the year) combined with high temperatures (>30 °C) constrain pathogen establishment. The results of the current study can be useful for countries such as New Zealand, China, South Africa and Singapore where the pathogen has not fully spread or established.