Assessing the effectiveness of manure export plus intensive silage cropping for lowering the Olsen‐P status of P‐enriched grassland

A substantial proportion of farmed grassland soils in Northern Ireland (NI) are overly enriched with P and pose a risk to water quality. To address this problem, manure could be exported rather than recycled to P‐enriched land and the latter intensively cropped with grass silage to deplete soil P. To assess the efficacy of such a strategy, a P‐ and K‐enriched grassland site was intensively cropped over a 6‐yr period with fertilizer N alone supplied to support silage growth. By year 6, soil P had declined from index 5 to index 3, and it was estimated that two more years of this management may bring it into the target index 2 range. Soil K, however, declined rapidly from index 4 to index 1 in just 4 yr, with the result that grass production became limited by K deficiency. It was concluded that nonrecycling of manure to P‐enriched grassland under silage management is probably the most effective strategy for lowering soil P status, but care must be taken to prevent K deficiency occurring.     

酸性土壤中决明属牧草高效根瘤菌的分离及筛选

为提高豆科决明属（Chamaecrista spp.）牧草的结瘤能力和固氮效率，促进决明属牧草在酸性土壤中的应用及推广，本研究以圆叶决明（Chamaecrista rotundifolia）和羽叶决明（Chamaecrasta nictitans）为试验材料，通过分离、纯化、nodA基因鉴定等方法，从酸性土壤里决明属牧草的根瘤中分离到10株候选根瘤菌株系。16S rDNA测序及系统发育树分析表明，这10株根瘤菌均属于慢生型根瘤菌。回接试验表明，上述10株根瘤菌均能与圆叶决明共生，形成根瘤。与不接种的对照相比，其固氮酶活性为0.08~4.65 μmol·g^-1·h^-1，植株干重、SPAD值和氮含量分别提高了99.17%~372.14%，399.27%~789.05%，235.00%~1043.33%。其中，4株根瘤菌TXR2，TXN1，WYSR1，JYN6对圆叶决明氮营养贡献最大，并且TXN1与宿主共生形成的根瘤数目最多，而JYN6的固氮酶活性最高。说明本研究分离鉴定到4株决明高效根瘤菌，具有较好的应用前景。     

Isolating the effect of soil properties on agricultural soil greenhouse gas emissions under controlled conditions

Agricultural soils are important sources of greenhouse gases (GHGs). Soil properties and environmental factors have complex interactions which influence the dynamics of these GHG fluxes. Four arable and five grassland soils which represent the range of soil textures and climatic conditions of the main agricultural areas in the UK were incubated at two different moisture contents (50 or 80% water holding capacity) and with or without inorganic fertiliser application (70 kg N ha⁻¹ ammonium nitrate) over 22 days. Emissions of N₂O, CO₂ and CH₄ were measured twice per week by headspace gas sampling, and cumulative fluxes were calculated. Multiple regression modelling was carried out to determine which factors (soil mineral N, organic carbon and total nitrogen contents, C:N ratios, clay contents and pH) that best explained the variation in GHG fluxes. Clay, mineral N and soil C contents were found to be the most important explanatory variables controlling GHG fluxes in this study. However, none of the measured variables explained a significant amount of variation in CO₂ fluxes from the arable soils. The results were generally consistent with previously published work. However, N₂O emissions from the two Scottish soils were substantially more sensitive to inorganic N fertiliser application at 80% water holding capacity than the other soils, with the N₂O emissions being up to 107 times higher than the other studied soils.     

Anthropogenically disturbed potentially toxic elements in roadside topsoils of a suburban region of Bishkek,Central Asia

The ecological environment in Central Asia is vulnerable to pressure from human activity due to the physical geography and climatic fragility of this region. A set of indicators suitable for the future assessment of this pressure needs to be proposed. Thirty‐six topsoil samples (0–5 cm) were collected from roadsides in a suburban region of Bishkek, the capital of the Kyrgyz Republic in Central Asia, and a risk assessment of anthropogenically disturbed potentially toxic elements (PTEs) was systematically conducted with classic statistical methods. The results of detrended correspondence analysis and principal component analysis clearly showed that topsoil samples with high contents of PTEs (Pb, Zn and Cu) were strongly affected by traffic within a distance threshold of 200 m and that anthropogenic effects decreased significantly with increasing distance from the highway. The enrichment factor and anthropogenic contribution for Pb were the highest among the three PTEs, with average values of 2.0% and 47.4%, respectively, suggesting enrichment. However, the results of the human health risk assessment also indicated that noncarcinogenic risks did not occur for any of the anthropogenic PTEs. The reported method provides a new systematic pathway to reveal anthropogenic influences on the geochemical composition of soil. The conclusions of this work will be highly valuable as important guidelines for agriculture, and the results of the PTE contents will provide a scientific basis for soil collection in future studies.     

Mapping soil salinity and pH across an estuarine and alluvial plain using electromagnetic and digital elevation model data

Increasing pressures from agriculture and urbanization have resulted in drainage of many floodplains along the eastern Australian coastline, which are underlain by sulphidic sediments, to lower water tables and reduce soil salinity. This leads to oxidation of the sediments with a rapid decline in pH and an increase in salinity. Accurately mapping soil salinity and pH in coastal acid sulphate soil (CASS) landscapes is therefore important. One required map is the extent of highly acidic (i.e. pH < 4.5) areas, so that the application of alkaline amendments (e.g. lime) to neutralize the acid produced can be specifically targeted to the variation in pH. One approach is to use digital soil mapping (DSM) using ancillary information, such as an EM38, digital elevation models (DEM – elevation) and trend surface parameters (east and north). We used an EM38 in the horizontal (EM38h) and vertical (EM38v) modes together with elevation data to develop multiple linear regressions (MLR) for predicting EC_1:5 and pH. For pH, best results were achieved when the EM38 EC_a data were log‐transformed. By comparing MLR models using REML analysis, we found that using all ancillary data was optimal for mapping EC_1:5, whereas the best predictors for pH were north, log‐EM38v and elevation. Using residual maximum likelihood (REML), the final EC_1:5 and pH maps produced were consistent with previously defined soil landscape units, particularly CASS. The DSM approach used is amenable for mapping saline soils and identifying areas requiring the application of lime to manage acidic soil conditions in CASS landscape.     

肥料结构对红壤性水稻土氮磷钾养分状况的影响

本文论述了三种肥料结构对红壤性水稻土氮磷钾养分状况的影响。土壤中的生物学有效性氮、氨基酸态氮、氨基酸、速效磷和活性有机磷的含量变化趋势是,以作物残体+灶灰+猪粪+化肥处理>作物残体+灶灰+化肥处理>绿肥+化肥处理。在各处理中,土壤中速效钾和缓效钾的含量变化不大,但采取秸杆、灶灰、菜籽饼和猪粪还田的措施,在节约化学钾肥提高作物产量中起了良好作用。     

光谱技术结合水分校正与样本增广的棉田土壤盐分精准反演

棉田土壤盐分的精准反演对于棉花的种植管理具有重要意义。水分和盐分作为主要环境因素,共同影响棉田土壤的波谱特征,两者之间的耦合关系直接影响土壤盐分的检测分析。为了提高基于光谱技术构建的模型对棉田土壤盐分信息解析的准确性与可靠性,该研究联用可见/短波近红外（400～1 000 nm）和长波近红外（960～1 693 nm）技术,采集不同含水率与含盐量的新疆地区土壤样本的光谱;结合外部参数正交法（external parameter orthogonalization,EPO）,校正不同标样集与不同波段光谱中的土壤含水率干扰信息;引入基于不同卷积步幅的深度卷积对抗网络（deep convolutional generative adversarial networks,DCGAN）,进行样本增广与质量评估;参考三层残差神经网络设计一维卷积神经网络RNet,最终构建基于EPO-DCGAN-RNet的优化模型,用于棉田土壤盐分的反演。结果表明,与传统机器学习方法和基于VGG或EfficientNet结构一维卷积神经网络相比,该研究提出的EPO-DCGAN-RNet方法能够有效地滤除水分对盐分反演的影响、提高模型对特征波段的挖掘能力、降低深度学习算法对样本量的依赖性,并能得到更优的模型预测性能。EPO-DCGAN-RNet的建模集R²和均方根误差分别为0.942、115.420 μS/cm,验证集R²和均方根误差分别为0.910和136.472 μS/cm。研究结果可为新疆棉田土壤盐分快速精准检测提供理论指导和技术支持,有助于促进盐碱地区棉花种植的水肥科学管理。     

Soil texture affects the conversion factor of electrical conductivity from 1:5 soil-water to saturated paste extracts

Electrical conductivity(EC) of soil-water extracts is commonly used to assess soil salinity. However, its conversion to the EC of saturated soil paste extracts(ECe), the standard measure of soil salinity, is currently required for practical applications. Although many regression models can be used to obtain ECe from the EC of soil-water extracts, the application of a site-specific model to different sites is not straightforward due to confounding soil factors such as soil texture. This study was...     

有机肥配施荧光假单胞菌肥对玉米产量与复垦土壤磷素有效性的影响

复垦土壤贫瘠,磷素含量极低,严重影响作物的生长发育。研究化肥、有机肥配施荧光假单胞菌对玉米产量和复垦土壤磷素形态以及酶活性的影响,为加速培肥矿区复垦土壤提供技术支持和理论依据。该研究在山西省晋中市采煤塌陷区进行了2a的定位培肥试验,共设置7个处理：不施肥（CK）、单施化肥（CF）、化肥配施荧光假单胞菌（CFB）、单施有机肥（M）、有机肥配施荧光假单胞菌（MB）、化肥配施有机肥（MCF）、化肥有机肥配施荧光假单胞菌（MCFB）。采集各处理土壤样品测定相关指标,并通过相关性分析和结构方程模型来探究各形态磷与有效磷以及土壤磷酸酶之间的关系。结果表明：1）在整个试验周期（2021—2022年）,与CK相比,不同施肥处理均能显著提高玉米产量以及各形态磷素。其中,以MB处理下的玉米产量、有效磷、磷活化系数、不稳定态磷以及部分不稳定态磷含量最高,与CK处理相比,玉米产量显著提高2.4倍,有效磷含量、磷活化系数值、不稳定态磷含量、部分不稳定态磷含量分别显著提高4.5倍、4.67倍、0.98倍、1.16倍。2）与CK处理相比,化肥、有机肥配施荧光假单胞菌能够显著提高土壤微生物量磷以及酸性和碱性磷酸酶活性,配施荧光假单胞菌后,微生物量磷水平和碱性磷酸酶活性均以MB较M处理提升效果最佳,分别显著提高27.08%和9.56%。3）结合相关性分析以及结构方程模型,随着荧光假单胞菌和化肥有机肥的施入,在提高不稳定态磷素含量的同时也提高有效磷的供应能力,促进磷素在农田生态系统中的循环转化,产生积极的正向影响。化肥、有机肥配施荧光假单胞菌能够一定程度上影响复垦土壤玉米产量及产量性状、各形态磷素及有效性和微生物活性,对复垦土壤脆弱的农田生态系统产生积极影响。