基于Kjeldahl与Dumas方法的农作物秸秆总氮含量分析

凯氏定氮法(Kjeldahl)与杜马斯燃烧法(Dumas)是测定农业生物质总氮含量的主要检测手段,但二者的测定结果数值存在差异。该研究获取农作物秸秆样本(水稻、小麦、玉米、油菜和棉花)共计1 179个,分别采用Kjeldahl和Dumas方法测定总氮(TKN和TCN,total Kjeldahl nitrogen and total combustion nitroyen)含量,通过多种统计与分析方法,系统分析比较了不同农作物秸秆总氮含量及其分布的异同和相关关系。结果表明:不同农作物秸秆氮含量分布均呈非正态分布,建议采用中位数统计;5种秸秆总体的TKN质量分数为(7.12±1.87) g/kg,TCN质量分数为(8.00±2.13) g/kg,TKN含量显著小于TCN含量;小麦和棉花秸秆的TKN含量和TCN含量与其他秸秆间均存在显著差异(P <0.05);不同生物质TKN含量与TCN含量关系不同,建议采用最小中位数二乘法进行拟合分析。研究结果可为农作物秸秆科学利用提供数据及方法互通性支撑。     

基于农田管理分区的制种玉米产量估算与限制因子评价

为了提升规模化农田不同管理分区的玉米产量,实现精准管理,该研究使用相关成分回归法(Correlated Component Regression,CCR),考虑地形因素(高程)、土壤理化性质(砂粒、粉粒、黏粒、容重、土壤含水率、土壤有机碳、全氮、全磷、速效氮、电导率)11个因子,评估规模化农田和聚类分析得到的3个管理区(M1、M2和M3)内产量的限制因子,并在不同分区内建立产量估算模型。模型验证结果表明:未分区的情况下,产量限制因子为土壤粉粒、砂粒、土壤有机碳、土壤含水率、速效氮和全氮,经验证,产量估算模型的决定系数(R~2)为0.70,标准均方根误差(Normalized Root Mean Square Error,nRMSE)为0.21。分区后,M1的产量限制因子为土壤粉粒、砂粒、黏粒、速效氮、电导率、全氮和全磷,M2的产量限制因子为土壤粉粒、砂粒和土壤含水率,M3的产量限制因子为高程、土壤砂粒、黏粒和电导率,产量估算模型的精度高(经验证,0.71R20.83,0.16nRMSE0.18)。对农田进行分区管理,并根据各管理区内作物产量的限制因素制定分布式管理策略,可以更具针对性地提升作物产量。     

缓释肥侧位深施及用量对油菜产量和肥料利用率的影响

为明确红壤稻田直播油菜缓释肥（N-P2O5-K2O:25-7-8）侧位深施效果及适宜用量，该研究连续2 a在两熟制和三熟制2种种植模式下开展缓释肥侧位深施效果对比试验（设置不施肥、土表撒施和侧位深施3个施肥方式）和施用量试验（设置0、300、450、600、750和900 kg/hm2 共6个施肥水平），研究缓释肥侧位深施及不同用量对油菜产量形成和肥料利用率的影响。结果表明，施肥方式对红壤稻田油菜产量形成和肥料利用率均有显著影响，且对两熟制油菜影响更为显著。相比传统土表撒施，侧位深施显著促进了油菜产量和肥料利用率的提高。缓释肥侧位深施明显提高了各时期油菜干物质量，尤其是显著增加了初花期至成熟期的干物质积累量，促进了花后根部与地上部干物质同步增长；促进了根系对N、P、K的吸收，提高了油菜产量和肥料利用率。菜籽产量与缓释肥用量呈线性加平台关系，适宜施肥量可保证较大的收获密度，并协同产生较多的每株角果数和每角粒数，从而提高籽粒产量、肥料利用率和经济效益。两熟制和三熟制油菜缓释肥侧位深施的适宜用量分别为715和585 kg/hm2，产量潜力可分别达2 450和1 700 kg/hm2。研究表明，侧位深施适量缓释肥可显著提高红壤稻田直播油菜生产力，建议结合机械化种植因地制宜推广应用。     

基于变量优选与机器学习的干旱区湿地土壤盐渍化数字制图

土壤盐渍化是导致土壤退化和生态系统恶化的主要原因之一，对干旱区的可持续发展构成主要威胁。为了尽可能精确地监测土壤盐渍化的空间变异性，该研究收集新疆艾比湖湿地78个典型样点，其中选取54个样本作为训练集，24个样本作为独立验证集。基于Sientinel-2 多光谱传感器（Multi-Spectral Instrument，MSI）、数字高程模型（Digital Elevation Model，DEM）数据提取3类指数（红边光谱指数、植被指数和地形指数），经过极端梯度提升（Extreme Gradient Boosting，XGBoost）算法筛选有效特征变量，构建了关于土壤电导率（Electrical Conductivity，EC）的随机森林（Random Forest，RF）、极限学习机（Extra Learning Machine，ELM）和偏最小二乘回归（Partial Least Squares Regression，PLSR）预测模型，并选择最优模型绘制了艾比湖湿地盐渍化分布图。结果表明：优选的红边光谱指数基本能够预测EC的空间变化；红边光谱指数与植被指数组合建模效果总体上优于其与地形指数的组合，3类指数组合的建模取得了较为理想的预测精度，其中RF模型表现最优（验证集R2=0.83，RMSE=4.81 dS/m，RPD=3.11）；在整个研究区内，中部和东部地区土壤盐渍化程度尤为严重。因此，XGBoost所筛选出的环境因子结合机器学习算法可以实现干旱区土壤盐渍化的监测。     

Arbuscular mycorrhizal-like fungi and glomalin-related soil protein drive the distributions of carbon and nitrogen in a large scale

Purpose

Arbuscular mycorrhizal-like fungi (AM-like fungi) are crucial for ecosystem functioning and soil organic matter (SOM) is an indicator of soil quality. However, the spatial distribution of arbuscular mycorrhizal-like fungi, glomalin-related soil protein (GRSP) and SOM in a large scale is still unclear. The objectives of this study were to investigate the spatial distribution of SOM, arbuscular mycorrhizal-like fungi and GRSP, and reveal the potential relationship among them in a large scale across China.

Materials and methods

Soil samples (different in vegetation type, climate, and soil variables) were collected from 26 sites in a large scale across China. The soil properties including pH, total carbon (TC), total nitrogen (TN), and SOM were determined. Quantitative PCR amplification of the 18S rRNA gene was conducted to evaluate the abundance of arbuscular mycorrhizal-like fungi. The contents of easily extractable GRSP (EE-GRSP), difficultly extractable GRSP (DE-GRSP), and total GRSP (T-GRSP) were measured.

Results and discussion

Arbuscular mycorrhizal-like fungi abundance was significantly affected by the vegetation type and dramatically correlated with the soil TN and mean annual precipitation (MAP). EE-GRSP and DE-GRSP were more associated with the TC and TN content, respectively. The abundance of arbuscular mycorrhizal-like fungi significantly but weakly correlated with the T-GRSP and EE-GRSP. The SOM content positively correlated with the DE-GRSP and T-GRSP. Those results suggested that the arbuscular mycorrhizal-like fungi are a larger contributor to regulating the content of GRSP, which is an important indicator of the soil organic carbon pool.

Conclusions

Our results indicated that arbuscular mycorrhizal-like fungi abundance has a greater contribution to driving the distribution of soil C and N in a large scale by affecting the content of glomalin-related soil protein.

     

A chronosequence study of purple paddy soils with respect to improving ammonium and potassium fertilization management

Journal of Soils and Sediments - Purple paddy soils cover about 66% of the paddy soils in Sichuan Basin. Complex interactions made the effects of potassium fertilizer application on NH4+ adsorption...     

Effects of soil moisture content on CO2 triggered soil physicochemical properties in a near-surface environment

Journal of Soils and Sediments - Carbon capture and storage (CCS) has been frequently discussed as a strategy for meeting CO2 emission reduction and its targets. However, some critical issues have...     

Biochar addition mitigates nitrogen loss induced by straw incorporation and nitrogen fertilizer application

Biochar has been shown to be potentially beneficial for enhancing yields and soil properties, and diminishing nitrogen (N) losses. However, it remains unclear how biochar regulates soil carbon (C) and N to mitigate N losses induced by straw mixing with N fertilizer in dryland soils. Therefore, we investigated the effects of straw mixing (S₁), S₁ with biochar (SB) and no straw inputs (S₀), and routine urea application rates (N₁) and 70% of routine rates (N_0.7) on yields and N losses, and identify the relationship between N losses and soil C and N compounds. Results showed that N_0.7 and N₁ were suitable for the maize and wheat seasons, respectively, contributing to mitigating N losses without reducing crop yields. Moreover, in the maize season, N_0.7-SB significantly mitigated the straw-induced NH₃-N and N₂O-N emissions by 106% and 81%, respectively. In the wheat season, N₁-SB reduced the straw-induced NH₃-N and N₂O-N emissions by 35% and 66%, respectively. In addition, N_0.7-SB sharply reduced soil inorganic N (SIN) storage in the maize season. Furthermore, the NH₃-N and N₂O-N emission rates were negatively correlated with dissolved organic carbon/SIN content (0–20 cm) (DOC/SIN_0-20). N losses (N₂O-N and NH₃-N emissions and SIN storage) were positively correlated with SIN_0-20, but negatively correlated with soil organic carbon / SIN_0-20 (SOC/ SIN_0-20). This study provides further evidence that biochar with an appropriate N application rate decreased SIN_0-20 and increased DOC/SIN_0-20, thus reducing SIN storage and the straw-induced gaseous N emissions without decreasing crop yields.     

Effect of FGFR1 expression knock-down on biological characteristics of infantile hemangioma endothelial cells

AIM: To study the effect of fibroblast growth factor receptor 1 (FGFR1) expression knock-down on the viability, apoptosis, invasion and migration of infantile hemangioma endothelial cells (HemECs). METHODS: FGFR1 was down-regulated by FGFR1 small interfering RNA (si-FGFR1) transfection. The viability of the cells was measured by CCK-8 assay. The apoptotic rate was analyzed by flow cytometry and the invasion and migration abilities were determined by Transwell assay. The protein levels of phosphatidylinositol 3-kinase (PI3K), protein kinase B (AKT), and phosphorylated AKT (p-AKT) were examined by Western blot. RESULTS: Transfection of si-FGFR1 into HemECs had significant effects on inhibiting cell viability (P<0.05), promoting apoptosis (P<0.05), and decreasing cell invasion and migration abilities (P<0.05). The results of Western blot showed that knockdown of FGFR1 gene expression in the cells reduced the protein levels of PI3K and p-AKT (P<0.05), and had no significant effect on AKT protein level. CONCLUSION: Knock-down of FGFR1 expression changes the biological characteristics of endothelial cells in infantile hemangiomas by regulating PI3K/AKT signaling pathway.     

分子标记技术在工业大麻性别分化研究中的应用进展

工业大麻性别表达影响着工业大麻种子、纤维和药用成分产量,其性别表达除了受到遗传物质控制外,还受到外界环境条件的影响,这种复杂性使得性别研究一直是工业大麻研究的难点和热点。分子标记技术能在DNA水平上鉴定工业大麻性别,开发与工业大麻性别紧密连锁的分子标记可为大麻性别早期鉴定和特定性别分子辅助选择育种提供理论依据。本文就分子标记在工业大麻性别研究中的应用进展进行了总结,并对应用前景进行了展望。