Effect of farm management on topsoil organic carbon and aggregate stability in water: A case study from Southwest England,UK

There are few reliable data sets to inspire confidence in policymakers that soil organic carbon (SOC) can be measured on farms. We worked with farmers in the Tamar Valley region of southwest England to select sampling sites under similar conditions (soil type, aspect and slope) and management types. Topsoils (2–15 cm) were sampled in autumn 2015, and percentage soil organic matter (%SOM) was determined by loss on ignition and used to calculate %SOC. We also used the stability of macroaggregates in cold water (WSA) (‘soil slaking’) as a measure of ‘soil health’ and investigated its relationship with SOC in the clay‐rich soils. %SOM was significantly different between management types in the order woodland (11.1%) = permanent pasture (9.5%) > ley‐arable rotation (7.7%) = arable (7.3%). This related directly to SOC stocks that were larger in fields under permanent pasture and woodland compared with those under arable or ley‐arable rotation whether corrected for clay content (F = 8.500, p < .0001) or not (F = 8.516, p < .0001). WSA scores were strongly correlated with SOC content whether corrected for clay content (SOC_adj R² = .571, p < .0001) or not (SOC_unadj R² = 0.490, p = .002). Time since tillage controlled SOC stocks and WSA scores, accounting for 75.5% and 51.3% of the total variation, respectively. We conclude that (1) SOC can be reliably measured in farmed soils using accepted protocols and related to land management and (2) WSA scores can be rapidly measured in clay soils and related to SOC stocks and soil management.     

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。     

辣椒细菌性果实条斑病菌生物学特性及抑菌药剂筛选

研究辣椒细菌性果实条斑病菌的生物学特性,对病原菌进行室内药剂筛选,旨在为田间病害规律研究和病害防治提供依据。采用紫外分光光度计测定病原菌在不同温度、pH、NaCl浓度下的生长速率。采用滤纸片抑菌圈法对病原菌进行室内药剂筛选试验。结果表明,辣椒细菌性果实条斑病菌最适生长温度为28℃,最适pH 7.0,病原菌的耐盐性为12%。18种供试药剂在药剂推荐使用剂量范围内,四霉素、乙蒜素、77%志信、氯溴异氰尿酸4种药剂对病原菌有抑菌效果,对这4种药剂进行毒力测定,结果表明四霉素的毒力较强,EC₅₀值为11.75 mg/L,毒力强于其他3种试剂,四霉素可作为田间防治药剂的首选。     

土壤铅和镉溶出伏安法检测中影响因素及其削弱方法研究进展

溶出伏安法具有分析速度快、成本低、灵敏度高等优点被广泛应用于检测土壤重金属含量，但在检测土壤重金属时，溶出伏安检测精度会受到多方面因素的影响。该文在介绍溶出伏安法工作原理的基础上，从伏安参数、试验条件和土壤物质成分三方面阐述溶出伏安法检测土壤Pb2+和Cd2+为的影响因素，解析各因素的影响机理，归纳影响削弱方法的研究进展。研究结论为：方波脉冲阳极溶出伏安法最常用于检测土壤Pb2+和Cd2+，伏安参数包括脉冲幅值、电压增量和脉冲频率，试验条件包括沉积时间、沉积电压和支持电解质种类及其pH值，土壤成分主要干扰因素包括非目标重金属和有机质。针对伏安参数和试验条件的影响可以设计优化试验有效削弱。针对非目标重金属和有机质的干扰影响，目前研究还没有提出有效的削弱方法。最后，展望了溶出伏安法检测土壤重金属的未来发展方向。     

乡村旅游高质量发展赋能乡村振兴的SWOT分析

【目的】乡村文旅产业与乡村本底条件有着优良的耦合关系,在国家乡村振兴战略大背景下,乡村文旅融合发展能够最大化地利用当地旅游资源,成为盘活文旅资源、发展乡村产业、赋能乡村振兴的重要抓手。【方法】本文以山西省阳曲县店子底村为例,运用SWOT分析法,详细剖析了店子底村自身的优势和劣势及其面临的机遇和挑战。【结果】基于以上分析提出了四种有针对性的发展策略,即增长型(S-O)策略、弥补型(W-O)策略、拓展型(S-T)策略和防御型(W-T)策略。【结论】店子底村乡村文旅资源丰富,加之能人带动、政策支持,促进其乡村旅游高质量发展,将为其实施乡村振兴提供较为充分的产业支撑。     

SSCP Marker Development and Analysis of Candidate Restorer Gene Rf1 for Cotton Cytoplasmic Male Sterility

[Objective] Locating the cotton cytoplasmic male sterility (CMS) restorer gene Rf₁ is important for investigating restorer gene mechanisms and improving restorer lines. In our previous study, a gene cluster, with nine Pentatricopeptide repeat(PPR) genes and nine other genes, was found within the 160-kb Rf₁ target region in Scaffold 333. The objective here was to improve the density of Rf1-linked markers in the target region and determine the expression profiles of candidate genes. [Method] Using the sequences of the 18 genes, we designed 155 single-strand conformation polymorphism (SSCP) primers covering all of the gene sequences to identify the polymorphic SSCP markers between the fertile and sterile pools. Additionally, real-time polymerase chain reaction(PCR) was performed to analyze the expression profiles of eight candidate genes in the four developmental stages of buds of sterile, maintainer and restoring lines, respectively. [Result] In total, 15 polymorphic primers were identified. A genotype analysis of the F₂ population was conducted using the 15 primers and 3 other polymorphic simple sequence repeats (SSR) markers. The markers were distributed in a 4.8 cM range. In addition, owing to the influence of sterile cytoplasm or restorer genes, most of the genes showed different expression patterns in the four developmental stages of the three lines' buds. [Conclusion] SSCP markers tightly linked to Rf₁ were identified and the expression profiles of candidate genes were determined. This study provides a basis for the further fine mapping of restorer genes and for candidate gene screening.     

Modelling optimal timing and frequency of insecticide sprays for knockdown in preparation for other control measures

A modelling investigation was conducted into optimizing the number of sprays and inter-spray interval to reduce an insect population to a low level, for example, prior to pheromone trapping or the release of sterile males. The model population was age-structured and density-dependent. If spray mortality is 100% for each spray, then the ideal spraying schedule is easily determined from the durations of the various life stages. For spray mortality of less than 100%, a simulation was used to determine optimal spraying schedules. Relative length of the larval period, fertility rate and age to first oviposition were found to be the most important biotic parameters for this determination. Their importance is magnified as spray mortality decreases. The stage targeted by sprays and the percent mortality caused by each spray are also important in determining the required number of sprays. Using medfly (Ceratitis capitata Wiedmann) biotic parameters as an example when the spray targets adults, it appeared that neither the stage at which density-dependent mortality takes effect, nor the form of the adult survivorship curve are important in determining the optimal spray schedule.     

干旱胁迫对不同藜麦种子萌发及生理特性的影响

为研究不同干旱程度对不同藜麦种子萌发及幼苗生长期耐旱性的影响,以忻藜1号（黑藜）、忻藜2号（白藜）和忻藜3号（红藜）为材料,采用培养皿萌发、土培育苗的方法,设置6个PEG 6000浓度梯度（0、5%、10%、15%、20%、25%）,对3种藜麦的种子和幼苗进行处理,测定其种子发芽率、发芽势、下胚轴长、根长等指标和幼苗脯氨酸含量、丙二醛（MDA）含量、超氧化物歧化酶（SOD）活性和过氧化物酶（POD）活性等生理指标。结果表明：（1）随着PEG 6000浓度的升高,藜麦种子的发芽势、发芽率、下胚轴长和根长都呈现逐渐降低的趋势,用回归分析求得白藜半致死PEG 6000干旱胁迫浓度为20.02%,黑藜为20.25%,红藜为24.70%;（2）随着PEG 6000浓度的升高,3种藜麦幼苗SOD和POD活性都呈先升后降的趋势;MDA和脯氨酸含量与干旱胁迫程度呈显著正相关关系。由此可得,红藜耐旱性最强,黑藜次之,白藜最差。     

“三系”杂交棉组合F1花粉育性与产量和品质的相关性研究

细胞质雄性不育“三系”（不育系、保持系和恢复系）制种因简化制种和节约劳动力成本已成为棉花杂种优势利用的重要手段。研究棉花花粉育性及“三系”组合F1可育花粉率与产量、品质性状的相关性，可以达到强化“三系”制种，提高育种效率的目的。用联苯胺-甲萘酚法测定12个不育系与4个恢复系杂交所得的48个F1的花粉育性，统计了可育花粉率并分析了可育花粉率与产量、品质的相关性。结果表明：－20℃保存条件下，花粉育性随贮藏时间的增加而减弱，51 h内其花粉育性依然保持88%以上，51 h内花粉育性无显著性影响。F1的可育花粉率均低于其恢复系及常规杂交种，大部分组合降低水平在20百分点以内。不同恢复系的恢复力有明显差异, 其中H46恢复力较强。F1的可育花粉率与单株铃数呈显著正相关。本研究结果有助于了解离体花粉的育性变化规律及“三系”杂交组合后代可育花粉率与产量品质的关系，可应用于异地授粉并在一定程度上指导“三系”杂交种选育，为育种工作提供一定的参考。