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Copula 函数的边坡可靠度高效分析方法

将Copula函数与高效蒙特卡洛方法结合,提出了含相关随机变量的边坡可靠度高效分析方法。以两个岩质边坡稳定性问题为例验证了所提方法的有效性。结果表明,该方法相比于直接蒙特卡洛方法在保证边坡失效概率的准确性的同时计算效率更高。Copula函数可以构造出具有不同相关结构的岩土体参数的联合概率分布,与高效蒙特卡洛方法(即蒙特卡洛重要抽样方法和子集模拟)结合能高效地处理含多种相关随机变量的边坡可靠度计算问题,相比于现行的Nataf变换方法结果更能体现岩土边坡真实稳定性。此外,该方法也能高效地计算含有复杂的隐式功能函数的边坡可靠度,研究成果拓展了高效蒙特卡洛方法在边坡可靠度分析中的应用。     

不同增稠剂对农药可分散油悬浮剂稳定性的影响

为明确不同增稠剂对以矿物油为分散介质的油悬浮体系稳定性的影响,以12.5%丙炔·吡嘧(丙炔噁草酮·吡嘧磺隆)可分散油悬浮剂为对象,通过流变学和多重光散射方法,研究了有机膨润土、有机高分子和气相二氧化硅3类增稠剂单独使用及有机膨润土和其他两类增稠剂分别搭配使用对可分散油悬浮剂物理稳定性的影响。结果表明:所有样品的流动特性指数(n)均小于1,为假塑性流体,具有触变性。除有机膨润土和高分子增稠剂Atlox Rheostrux100组合使用时体系更符合Casson方程外,其余样品均更符合Herschel-Bulkley方程。单独使用时,有机膨润土对保证体系稳定的效果相对较好;Atlox Rheostrux 100和Atlox Rheostrux200两种高分子增稠剂的效果差别较大,其中Atlox Rheostrux 100效果更好,这可能是由分子结构差异造成;两种气相二氧化硅类增稠剂由于不能有效形成氢键,效果较差。将有机膨润土和有机高分子增稠剂组合使用时,体系的稳定性有所提升,其中有机膨润土869和Atlox Rheostrux 100组合使用效果更好,体系具有较高的黏度,且具有良好的触变性,物理稳定性优异;有机膨润土869和疏水气相二氧化硅R974组合使用时则效果没有明显的提升。研究表明,流变学和多重光散射两种方法均能较好地表征可分散油悬浮剂的物理稳定性;新型高分子增稠剂和有机膨润土具有协同作用,将二者合理组合添加能大幅提升可分散油悬浮剂的稳定性。     

油脂预乳化提高大豆拉丝蛋白素食香肠品质

为了提高大豆拉丝蛋白(Textured Fibril Soy Protein,TFSP)素食香肠的品质,该研究将油脂预乳化工艺应用于TFSP素食香肠的加工,利用响应面试验设计优化了预乳化工艺条件,采用质构分析仪测定分析了产品的质构特性,并进行了感官评价。结果表明优化后的最佳预乳化工艺条件为菜籽油含量445g/L、大豆分离蛋白浓度105g/L、乳化机剪切速率9.0×103r/min。与对照组相比,此条件下制作的预乳化-TFSP素食香肠的凝胶强度、硬度和咀嚼性分别提高了约1倍、10%和26%,且产品口感鲜嫩、富有汁液感,感官评价得分显著提高。采用激光共聚焦显微镜观察分析了不同工艺制作的TFSP素食香肠在煮制前后微观结构的变化,结果发现油脂预乳化工艺可大大提高乳化油脂的稳定性和在香肠凝胶基质中的均匀分布,从而使乳化油脂的‘填充作用’得以发挥,不仅增强了TFSP素食香肠的保水保油能力,降低了蒸煮损失率,而且对香肠的质构和感官特性产生了重要影响。因此油脂预乳化工艺是一种辅助提高素食香肠整体品质行之有效的方法。     

Effect of microwave pre-treatment on physical quality,bioactive compounds,safety risk factor,and storage stability of peanut butter

Microwave, as a new heat treatment technology, has the characteristics of uniform and fast heating speed. It is an energy-saving technology known for improving oilseed product quality. Its efficiency mainly depends on the roasting power and time. However, the production of high-quality peanut butter using short-time roasting conditions are limited. Herein, we determined an appropriate microwave roasting power and time for peanuts and evaluated its impacts on the quality of peanut butter. Different roasting powers (400 ​W, 800 ​W and 1200 ​W) and times (4, 4.5, 5, and 5.5 ​min) were preliminarily tested. Among them, 800 ​W at 5 ​min was the most suitable. The roasting efficiency was further evaluated using color, sensory, bioactive compounds, storage stability, and safety risk factors of peanut butter produced from four peanut cultivars (Silihong, Baisha-1016, Yuanza-9102, and Yuhua-9414). The pre-treated butter obtained from three cultivars (Silihong, Yuanza-9102, and Yuhua-9414) with moisture content between 5% and 7.2% had a similar sensory score (6–7) as the commercial on a 9-point hedonic scale compare to the other. The color of the pre-treated peanut butter varies statistically with the commercial but remained in the recommended range of Hunter L1 values of 51–52, respectively, for high initial moisture peanut cultivars. The total polyphenol (35.20-31.59 ​± ​0.59 ​μmol GAE/g) and tocopherol (19.05 ​± ​0.35 ​mg/100 ​g) content in the butter obtained from three cultivars (Yuahua-9102, Yuhua, and Baisha-1016) and Silihong respectively, were significantly (P ​< ​0.05) higher than those in the commercial butter. The induction times of all pre-treated butter (19.80 ​± ​0.99–7.84 ​± ​0.07 ​h) were significantly (P ​< ​0.05) longer during storage at accelerated temperature than commercial samples. In addition, no benzo[a]pyrene was found in the pre-treated samples. Collectively, the microwave pretreated peanut butter was superior to the commercial one. These findings provided data support and a reference basis to promote microwave use for peanut butter production.     

Cotton Image Segmentation Algorithm Based on Fusion Method of Markov Random Field and Quantum Particle Swarm Cluster

[Objective] The aim of this study was to improve the cotton image segmentation accuracy in a picking robot image processing system. [Method] An image segmentation algorithm based on a fusion method of Markov random field and quantum particle swarm optimization clustering was proposed. The process of the proposed algorithm is as follows: first, transform the RGB (red, green, blue) images into grayscale; second, use it to segment these images; finally, the threshold of the connected area is set on the basis of the segmented image to obtain the target area. Then, the cotton front image and the cotton side image are selected from the images collected from different angles. The segmentation experiment was carried out by using this algorithm, and compared with the Otsu algorithm, the fuzzy C-means algorithm, the quantum particle swarm image segmentation algorithm and the Markov random field image segmentation algorithm. [Result] The results showed that the segmentation accuracy and peak signal to noise ratio of the proposed algorithm were 98.94% and 77.48 dB. When compared with the Otsu algorithm, fuzzy C-means algorithm, quantum particle swarm optimization algorithm and Markov random field algorithm, the average segmentation accuracy and peak signal to noise ratio of the proposed algorithm increased by 2.47%–4.56%, and 9.81–13.11 dB, respectively. [Conclusion] The proposed algorithm had higher segmentation accuracy and higher peak signal to noise ratio than the other algorithms tested.     

黔东南州打造全域森林公园的可行性研究

指出了建设全域森林公园是经济和社会发展的必然要求。在对黔东南州发展全域森林公园进行必要性和打造条件后认为:黔东南州在打造全域森林公园方面具有明显的政策优势,有着优良的森林生态环境资源,以及良好的林业产业基础等优势条件。通过不断完善相关的配套服务体系,已具备了打造全域森林公园的可行性。     

不同施肥措施及复垦年限下土壤团聚体的大小分布及其稳定性

土壤团聚体的数量和质量直接影响着土壤性质和有机碳固存。研究长期不同施肥措施及复垦年限对采煤塌陷区土壤团聚体的重量分布比例及其稳定性的影响,为该区域的农业生产和土壤质量提升提供科学依据。采集复垦6年和11年定位试验不同施肥处理耕层土样,选取不施肥(CK)、平衡施氮磷钾肥(NPK)、单施有机肥(M)、有机无机肥配施(MNPK)4个处理,利用干筛法和湿筛法获得4种粒径的团聚体/粉黏粒组分(> 2 mm、0.25-2 mm、0.053-0.25 mm和< 0.053 mm),用> 0.25 mm团聚体含量(R_0.25)、平均重量直径(MWD)、团聚体破坏率(PAD)和土壤不稳定团粒指数(E_LT)表示团聚体的稳定性,并测定了土壤有机碳含量。结果表明：复垦年限对土壤团聚体的含量及稳定性影响产生了显著影响。干筛条件下,复垦6年和11年均显著降低了各处理0.053-0.25 mm团聚体和< 0.053 mm组分的含量,降幅分别为68.39%-87.37%、69.63%-78.32%(6年)和90.01%-93.68%、78.29%-83.93%(11年)；湿筛条件下,复垦11年显著提高了各处理> 2 mm团聚体的含量,增幅达473.35%-645.16%,但是显著降低了0.053-0.25 mm团聚体的含量,降幅为43.67%-57.54%。土壤团聚体的稳定性也随着复垦年限的增加而逐渐增强,表现为DR_0.25、WR_0.25和MWD值呈增加趋势,而PAD和E_LT值呈降低趋势。土壤有机碳含量与DR_0.25、WR_0.25、MWD_水稳性呈极显著正相关关系,而它与PAD和E_LT呈极显著负相关关系。本研究表明,该区域连续复垦11年提高了土壤大团聚体的含量而伴随着微团聚体含量的显著减少,导致土壤结构越来越稳定。它对提高采煤塌陷区复垦土壤肥力、改善土壤结构效果最佳。     

秸秆还田深度对土壤温室气体排放及玉米产量的影响

【目的】秸秆还田是培肥地力、增加土壤有机质和改善土壤结构的重要技术手段,但以往的研究表明秸秆还田会加速土壤温室气体的排放。本研究通过对秸秆不同还田深度下农田土壤温室气体排放特征和产量的研究,明确降低温室气体排放量的最佳还田深度,以期为合理利用秸秆、提高作物产量,实现农业可持续发展提供科学依据。【方法】采用大田微区试验,以玉米为供试作物,设置4个还田深度,采用静态箱-气相色谱法测定整个玉米生长季不同还田深度下温室气体（CO₂、CH₄、N₂O）的排放特征,产量及产量构成因素。试验共设5个处理,还田深度分别为0—10 cm（T1）、10—20 cm（T2）、20—30 cm（T3）和30—40 cm（T4）,同时以不还田处理作为对照（CK）。【结果】（1）在整个玉米生长季CO₂和N₂O均表现为排放,CH₄表现为吸收。CO₂累积排放量为T3处理最高,较CK显著增加了28.6%,T4处理增加最少,较CK显著增加了17.1%（P<0.05）,但T1与T4处理之间差异不显著;而N₂O的累积排放量T2处理为最高,与CK相比,累积排放量显著增加111.3%,T4处理增加最少,与CK相比显著增加了12.8%（P<0.05）;CH₄则表现为吸收,且秸秆还田后降低了农田土壤对CH₄的吸收能力,吸收量表现为CK处理>T4处理>T3处理>T1处理>T2处理,且各还田处理与CK之间差异显著（P<0.05）。（2）秸秆不同还田深度下,与对照相比,各处理玉米产量均显著增加,增产在5.6%—20.8%（P<0.05）,但各处理之间的穗长、穗粗和行粒数差异不显著。当秸秆还至30—40 cm时,产量最高,较CK增加了20.8%,表明秸秆还田对提升土壤肥力及作物增产有重要作用。（3）从温室气体综合增温潜势（GWP）和温室气体排放强度（GHGI）来看,在100年尺度上,GWP表现为T2处理>T3处理>T1处理>T4处理>CK处理,而GHGI表现为T2处理>T3处理>T1处理>CK处理>T4处理,表明与CK相比,各处理均增加了玉米季温室气体的综合增温潜势,而T4处理则降低了玉米季温室气体排放强度,说明秸秆深还至30—40 cm可在一定程度上缓解全球增温潜势。【结论】秸秆还田会显著增加CO₂和N₂O排放,降低对CH₄的吸收能力;秸秆深还至30—40 cm可相对降低综合增温潜势,降低温室气体排放强度,同时显著增加玉米产量。因此,为实现较高的玉米产量和较低的温室气体排放强度,秸秆深还至30—40 cm是较为合理的土壤改良培肥方式。     

Silicon-mediated genotoxic alterations in Brassica juncea under arsenic stress: A comparative study of biochemical and molecular markers

Arsenic (As), one of the most harmful toxicant at the global level, severely affects plant metabolism when taken up. Interestingly, the presence of silicon (Si) as a fertilizer in As-contaminated soil is an effective strategy to decrease As accumulation in plants. Brassica juncea (var. Varuna) were grown hydroponically to investigate the role of Si at biochemical and molecular levels under arsenite (As³⁺) stress. Seedlings of B. juncea were exposed to As³⁺, Si, and a combination of both elements. Our data demonstrated that seedlings exposed to As³⁺ showed an inhibition in shoot length, chlorophyll, carotenoid, and protein, while co-application of Si improved these growth parameters. Silicon supplementation reduced As accumulation in shoot. Increase/decrease was observed in stress-related parameters (cysteine and proline), antioxidant enzymes (superoxide dismutase, ascorbate peroxidase, and catalase), and oxidative stress markers (malondialdehyde and H₂O₂), which were improved upon co-application of Si as compared to As³⁺ alone treatment. Random amplified polymorphic DNA (RAPD) is a suitable biomarker assay for plants for assessing the genotoxicity. Seven RAPD primers produced a total of 39 and 48 bands in the leaves of the untreated and treated seedlings, respectively. The RAPD band-profiles and genomic template stability were consistent with other growth and physiological parameters. In conclusion, the genotoxic alterations along with the biochemical parameters indicate that the exposure to Si mitigates As³⁺-induced oxidative stress by improving the stress-related parameters and antioxidant system in B. juncea.