Soil property differences among high‐ and average‐yielding soya bean areas in Arkansas,USA

Soya bean [Glycine max (L.) Merr] yields >6719 kg/ha (100 bu/ac) have only recently and infrequently been achieved. Quantifying soil property differences between high‐ and average‐yielding areas can help to further identify non‐plant‐related properties contributing to soya bean yield potential. The objective of this study was to evaluate the effects of region and soil depth on soil property differences between high‐ and average‐yielding areas. In each of the seven regions of the ‘Grow for the Green’ yield contest in Arkansas, prior to or just after harvest in 2014 and 2015, soil samples were collected from the top 20 cm of one contest high‐yield (HY ) area that was in close proximity to an average‐yield (AY ) area. Across all regions and both years, soya bean yields differed (P  <  0.05) between yield areas, averaging 4701 and 5498 kg/ha in AY and HY areas, respectively. Averaged across soil depth and years, numerous soil properties differed (P  <  0.05) between HY and AY areas within at least one of seven regions. Total soil C content was at least 20.2% greater in the HY than in the AY area in three of seven regions. Extractable soil P content was, on average, 19.4 kg/ha greater in HY than in AY areas in three of the seven regions. Results from this study have the potential to help producers better understand soil properties that contribute to or hinder achieving ultra‐high (>6719 kg/ha) soya bean yields.     

豆粕酶解发酵物对仔猪生长性能、血清指标及肠道菌群结构的影响

本试验旨在研究豆粕酶解发酵物对仔猪生长性能、血清指标及肠道菌群结构的影响。选用144头49日龄健康的"杜×长×大"三元杂交育肥仔猪,随机分为3组,每组6个重复,每个重复8头猪(公母各占1/2)。阴性对照组饲喂无抗生素添加的基础饲粮,抗生素对照组饲喂基础饲粮+60 g/t吉他霉素,试验组饲喂试验饲粮(基础饲粮中10%豆粕被豆粕酶解发酵物替代)。试验期为42 d。结果表明:1)试验组仔猪的末重、平均日增重、平均日采食量分别比阴性对照组高5.06%、10.07%、5.03%(P0.05),腹泻率比阴性对照组低39.59%(P0.05),与抗生素对照组相比各指标差异均不显著(P0.05)。2)试验组仔猪血清碱性磷酸酶和谷丙转氨酶活性、总抗氧化能力(T-AOC)、超氧化物歧化酶(SOD)活性均显著高于阴性对照组(P0.05),丙二醛(MDA)含量显著低于阴性对照组(P0.05);试验组和抗生素对照组仔猪血清指标差异不显著(P0.05)。3)试验组仔猪盲肠、大肠中乳酸杆菌数量显著高于阴性对照组和抗生素对照组(P0.05),十二指肠中总细菌数显著低于阴性对照组和抗生素对照组(P0.05)。综上,豆粕酶解发酵物能提高仔猪生长性能,增强机体抗氧化能力,利于乳酸杆菌在肠道内形成优势菌群,降低腹泻率,生长性能达到使用抗生素水平。     

防洪堤施工中筑堤粗粒土控制干密度的合理性分析

文章对相对密度控制问题进行分析,并提出几点建议。     

基于变分法的FY-3C土壤水分产品适用性分析

FY-3C作为我国风云三号首颗业务卫星,其上搭载的微波成像仪(MWRI)可提供全天候土壤水分数据。【目的】获取高质量土壤水分数据可以对合理利用土壤水资源提供参考,为农田干旱监控和预报提供基础参数。【方法】选取山东省农业气象站土壤水分数据对FY-3C土壤水分产品进行检验,为获取更高质量FY-3C土壤水分产品,选用变分订正方法对FY-3C土壤水分产品进行偏差订正。【结果】FY-3C升降轨土壤水分产品与地面站土壤水分相关系数R分别为0.481 6和0.408 2,RMSE分别为0.099 6和0.091 0 cm~3/cm~3。订正后FY-3C升降轨土壤水分产品与地面站土壤水分R分别为0.701 4和0.892 4,RMSE分别为0.021 7和0.011 cm~3/cm~3。对2016年3—4月山东省干旱过程订正前、后FY-3C土壤水分变化情况进行对比,订正后FY-3C土壤水分更准确地反映出此次干旱过程。【结论】FY-3C土壤水分产品可以准确反映土壤水分随时间的变化趋势,订正后FY-3C土壤水分产品与地面站土壤水分间误差减小、相关性提高。     

不同裂解温度的污泥生物质炭理化特性分析

研究裂解温度对污泥生物质炭基础理化性质的影响,为安全、合理、高效处置污泥提供理论依据。将干燥污泥分别在200、300、500、700℃下进行热裂解处理(SBC200、SBC300、SBC500、SBC700),获得污泥生物质炭,测定其基础理化特性。结果表明：不同温度制备的污泥生物质炭表面颗粒结构完好,孔径范围均集中在10~50 μm,其中低温生物质炭SBC200表面较光滑,最可几孔径和中值孔径最大,分别为20.1 μm和14.8 μm,高温生物质炭SBC700表面较粗糙,比表面积最大,为5.98 m²/g。随裂解温度的提高,污泥生物质炭的产率、含水量、电导率、挥发分、阳离子交换量显著下降,全碳、氧、全氮、氢含量、有效磷和铵态氮均逐渐降低,pH和灰分含量显著增加。将污泥制备成生物质炭,是安全处置污泥的有效途径,低温制得的污泥生物质炭具有更大的提高土壤肥力的潜力,而高温制得的生物质炭在改良土壤酸性的应用上具有更大的潜力。     

Effects of Oyster Shell Soil Amendmenton Fruit Auality and Soil Chemical Properties in Greenhouse Tomato Acidic Soils

[Objective]The aim was to explore the feasibility of applying oyster shell soil amendment for tomato production in order to determine proper quantity of the soil conditional.[Method]Field tests were performed to research effects of the soil conditioner on tomato yield,quality and soil p H.[Result]The results showed that tomato yield increased in the treatment groups with oyster shell soil amendment.The group SC50 increased the most by 16.5%than the control group.Based on normal fertilization,tomato growth was promoted by the soil amendment,and per tomato weight and lycopene content both improved during peak-fruiting period.Besides,soil p H value was enhanced by the soil amendment also.[Conclusion]It can be concluded that the effect was the best when soil conditioner was applied at 750 kg/hm2.     

Information extraction and dynamic evaluation of soil salinization with a remote sensing method in a typical county on the Huang-Huai-Hai Plain of China

Monitoring the dynamics of soil salinization is of great importance for agricultural production. This study selected Yucheng County, a typical county on the Huang-Huai-Hai Plain (HHHP) of China, as the study area and evaluated the spatial and temporal variation of soil salinization. Three methods, consisting of principal component analysis (PCA) transformation, tasseled cap (TC) transformation, and optimal band combination (OBC), were used to extract information from an early Landsat multispectral scanner (MSS) image from 1984, and their advantages were compared. In addition, OBC was used on a thematic mapper (TM) image from 2009. An iteratively self-organizing data analysis algorithm was used together with prior knowledge of likely classifications to interpret the MSS and TM images for data classification. Finally, a transfer matrix method was used to assess the spatial and temporal variability of soil salinization and analyze the driving factors of soil salinization. Compared to PCA transformation and OBC, TC transformation was a more effective method for extracting soil salinization information from the MSS sensor. The results indicate that a soil area of approximately 298 km² was affected by salinity in 1984 in Yucheng County, of which 5.40%, 11.96%, and 12.75% were classified as being subject to slight, moderate, and severe salinization, respectively. In 2009, the saline area was reduced to only 146 km², of which 10.70% and 3.75% were characterized by slight to moderate salinization and no severe salinization, respectively. The saline land decreased at an average rate of 6 km² per year. This decrease was probably a result of lower groundwater depth, increased organic fertilizer or crop straw in soil, changed land use type, and increased vegetation coverage.     

Time‐lapse monitoring of soil water content using electromagnetic conductivity imaging

The volumetric soil water content (θ) is fundamental to agriculture because its spatiotemporal variation in soil affects the growth of plants. Unfortunately, the universally accepted thermogravimetric method for estimating volumetric soil water content is very labour intensive and time‐consuming for use in field‐scale monitoring. Electromagnetic (EM) induction instruments have proven to be useful in mapping the spatiotemporal variation of θ. However, depth‐specific variation in θ, which is important for irrigation management, has been little explored. The objective of this study was to develop a relationship between θ and estimates of true electrical conductivity (σ) and to use this relationship to develop time‐lapse images of soil θ beneath a centre‐pivot irrigated alfalfa (Medicago sativa L.) crop in San Jacinto, California, USA. We first measured the bulk apparent electrical conductivity (EC_a – mS/m) using a DUALEM‐421 over a period of 12 days after an irrigation event (i.e. days 1, 2, 3, 4, 6, 8 and 12). We used EM4Soil to generate EM conductivity images (EMCIs). We used a physical model to estimate θ from σ, accounting for soil tortuosity and pore water salinity, with a cross‐validation RMSE of 0.04 cm³/cm³. Testing the scenario where no soil information is available, we used a three‐parameter exponential model to relate θ to σ and then to map θ along the transect on different days. The results allowed us to monitor the spatiotemporal variations of θ across the surveyed area, over the 12‐day period. In this regard, we were able to map the soil close to field capacity (0.27 cm³/cm³) and approaching permanent wilting point (0.03 cm³/cm³). The time‐lapse θ monitoring approach, developed using EMCI, has implications for soil and water use and management and will potentially allow farmers and consultants to identify inefficiencies in water application rates and use. It can also be used as a research tool to potentially assist precision irrigation practices and to test the efficacy of different methods of irrigation in terms of water delivery and efficiency in water use in near real time.     

Soil physical changes and maize growth in a structurally fragile tropical soil due to mulching and duration between irrigation intervals

Under tropical meteorological conditions, the volume of soil explored by plant roots is crucial for crop growth as it allows increased water and nutrient use efficiency. We hypothesized that, under different irrigation intervals, leguminous mulch can extend the duration between irrigation events but maintain crop performance, because decreased evaporative fluxes also reduce constraints to root exploration imposed by mechanical stress. We evaluated the combined effects of leguminous mulch and irrigation intervals on soil physical properties to determine whether the growth and productivity of maize were modified in a structurally fragile tropical soil. The experiment involved the following treatments: 4‐day irrigation intervals with soil mulched (4C) or bare (4S), 6‐day irrigation intervals with soil mulched (6C) or bare (6S), 8‐day irrigation intervals with soil mulched (8C) or bare (8S) and 10‐day irrigation intervals with soil mulched (10C) or bare (10S). Mulch decreased soil penetration resistance and increased to 4 days the favourable time for root development in drying soil. Relative to bare soil, mulch with a 6‐day irrigation interval almost doubled nitrogen uptake post‐tasselling, which decreased nitrogen remobilization and increased the crop growth rate during this stage. These conditions had a positive effect on the transpiration rate and stomatal conductance as well as on the growth and yield of maize. A 6‐day irrigation interval with mulch compared to 4 days with bare soil resulted in similar conditions for root development, but greater uptake of nitrogen (102.73–78.70 kg/ha) and better yield (6.2–5.3 t/ha), which means greater efficiency in nitrogen and water use.     

我国蔬菜肥料利用率现状与提高对策

我国露地蔬菜种植和设施蔬菜种植养分用量均超过蔬菜生长所需,导致土壤次生盐渍化、肥料利用率低,增加了面源污染风险,在分析这些现状的基础上,对造成蔬菜种植中氮、磷、钾肥料利用率低下的原因进行了分析,如有机肥与化肥施用配比随意性强,搭配不合理;氮、磷、钾肥配施比例不合理;大量元素与中微量元素配合施用不合理;肥料总施用量过大;土壤自身的原因等。并提出了提高肥料利用率的测土与科学配方施肥、有机肥与无机肥合理配合施用、采用水肥一体化技术和土壤调理剂等措施,有望提高我国蔬菜肥料利用率,节约资源,防止面源污染,实现蔬菜生产的可持续绿色发展。