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.     

我国金银花产质量影响因素及轻简化施肥推荐

金银花是我国一种用途广泛的传统大宗中药材，年需求量大，影响其产量和质量的因素也较多。本文通过文献检索，从产地特点、品种特性、土壤性质和施肥管理措施及后期加工等方面对影响金银花产质量的主要因素进行了综述。并通过引入结构方程模型，对不同因素对金银花产量的相对影响程度进行了探索性分析，对于某一产地的具体品种，单株产量的主要影响因素是土壤有机质、pH和速效钾含量等土壤因素，和氮肥用量等施肥因素。在此基础上，针对当前施肥现状，借鉴根区施肥法，进行了以干花重为基准的施肥量推荐,并提出了将全年所需肥料一次性施于根区的轻简施肥法，旨在为金银花的轻简化高产高效优质栽培提供思路与参考。     

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。     

淮阴区配方肥料应用的现状、存在问题和对策

配方肥料是"测土配方施肥"的物化载体,是科技转化为生产力的具体表现。如何尽快将通过测土配方技术研制的配方肥料应用到生产实际中,不仅关系到"测土配方施肥"项目的实施效果和效率,同时也关系全区耕地质量的提高和农业可持续发展的顺利实现。当前,由于受市场因素、农技体制、农民素质、流通形式等诸多因素影响,配方肥料的推广工作进展得很不顺利。要真正把配方肥料推广应用到千家万户,发挥其在农业生产中的增效作用,还需要各级政府、农技推广部门、肥料生产企业、经销商等的共同努力和全社会的广泛参与。     

春花生超高产栽培技术模式研究与应用

采取正交旋转回归设计,以播种期、种植密度、施肥量为试验因子,以9000kg/hm2为产量目标函数,进行春花生超高产栽培模式集成研究。结果表明,在鲁西南平原地区,超高产春花生以种植密度和N、P、K施肥量为主要限制因素,播种期为次要限制因素。明确了春花生单产达到9000kg/hm2以上的最佳种植密度、播种期和合理的N、P2O5、K2O施用量为主要指标的栽培技术模式,增产效果显著。     

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.