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。     

Preliminary assessment of large‐scale co‐culture of sandfish (Holothuria scabra) with the Babylon snail (Babylonia areolata) in earthen ponds and in raceways

Holothuria scabra (sandfish) and Babylonia areolata were trialed in two large‐scale co‐culture experiments. Experiment 1 assessed co‐culture in 4 × 400 m² earthen ponds where Babylonia were cultured in a central pen at a density of 400 individuals/m² with sandfish occupying the remaining pond space at 1.1 individuals/m². Sandfish grew from 18.20 ± 6.67 g to 119.03 ± 17.74 g in 92 days and Babylonia (fed trash fish in both experiments) grew from 0.90 ± 0.38 g to 4.93 ± 1.44 g, but Babylonia growth was not increased in co‐culture compared to monoculture. Water and sediment quality varied between co‐culture and monoculture ponds. Neither showed clear improvement due to sandfish culture. Experiment 2 compared non‐segregated sandfish‐Babylonia co‐culture with Babylonia monoculture in 20 m² concrete raceways. Sandfish were cultured at 2 individuals/m² and Babylonia at 300 individuals/m². Sandfish grew up to 1.91 g.day^?1 with 100% survival. Babylonia weight gain was significantly greater in co‐culture raceways (3.35 ± 0.64 g over 61 days), which was double that of Babylonia in monoculture. Substrate total N was reduced by 20% in co‐culture compared with monoculture (p = .032). This provisional study of commercial scale sandfish‐Babylonia co‐culture demonstrates culture compatibility, providing a basis for further system development.     

Root distribution patterns of peanut genotypes with different drought resistance levels under early‐season drought stress

Drought severely limits crop yield of peanut. Yet cultivars with enhanced root development enable the exploration of a greater volume of soil for water and nutrients, helping the plant survive. Root distribution patterns of three genotypes (ICGV 98305, ICGV 98324 and Tifton‐8) were compared when grown in well‐watered rhizoboxes and when grown in rhizoboxes where an early‐season drought was imposed using rain‐exclusion shelters. The treatments were arranged in a completely randomized design with three replications, and the experiment was conducted during two seasons at the Field Crop Research Station of Khon Kaen University, in Khon Kaen, Thailand. The root system of ICGV 98305, when grown under drought, had a significantly higher root length in the 30–110 cm deep soil layers and less roots in the 0–30 cm soil layers when under drought than when grown under well‐watered conditions. Roots of Tifton‐8 had the largest reductions in root length in upper soil layer and reduced in most soil layers. Tifton‐8 grown under drought was smaller than under well‐watered control for all root traits, showing negative response to drought. The peanut genotypes with high root traits in deeper soil layer under early‐season drought might contribute to drought avoidance mechanism.