包气带土壤pH对灌溉施肥响应的变异过程

为了分析灌溉施肥活动引起的包气带土壤pH值变异特征及其对地球化学条件的响应，通过历时3 a的野外原位灌溉施肥试验，应用不同季节灌前、灌后6 m土层中不同深度的测定资料，系统分析了土壤pH对灌溉、施肥的响应过程，结果表明：各深度pH值呈弱变异性（CV=1.01%~2.28%），与灌溉前相比，灌后土壤pH值的均值和变异系数均呈现明显的变化；灌前包气带各层pH具有强烈的空间自相关性，灌后受水分、基质等相互作用影响，pH的空间自相关性有所减弱，C₀/(C₀+C)和变程a分别由7.23 m和3.54 m(灌前0 d)减少到3.26 m和2.76 m(灌后第10天)。土壤基质是决定土壤酸碱性的主要因素，在灌溉施肥活动对pH的响应过程中，地球化学条件（土壤含水量、土壤温度、土壤有机质(SOM)、氧化还原电位（RP）等)、土壤基质组成和氮底物浓度（NH⁺₄-N）等的交互作用影响pH的动态。土壤含水量和温度单独对pH影响不显著，两者交互作用对pH有显著影响。引起土壤pH变化的主要变异源为Cl^-、土壤有机质(SOM)、NO^-₃-N、NH⁺₄-N等营养物质和不同空间深度土壤基质的差异，表明灌溉施肥改变了包气带pH地球化学动力场、营养物质和土壤基质的交互作用，引起各深度的生物地球化学反应，控制pH值的空间变异特性。当包气带介质土壤水分变化时，首先营养物氨态氮以分子态或水合态形式被介质吸附，H⁺得到释放，使得灌后第4天pH值下降。随着氨氧化过程中H⁺的释放，pH在灌前和灌后第10天和第30天有显著差异。氨的氧化引起硝酸盐含量不断增加，使得硝酸盐对pH值的影响在灌后不断增强,相关系数由0.24(0 d，P<0.05)增加到0.41(30 d,P<0.01)，而氨态氮对pH值的影响逐步降低，相关系数由0.43(0 d，P<0.01)降低为0.19(30 d,P>0.05)。     

Atmospheric humidity and genotype are key determinants of the diurnal stomatal conductance pattern

Great understanding of the genotypic difference in diurnal stomatal conductance (g_s) pattern and the key determinants of the pattern is important for saving water by adopting cultivars appropriately. Fifteen wheat genotypes were studied under different soil conditions and various meteorological conditions with pot cultivation in rain shelter for two years. Genotype and air humidity were found to be key determinants of diurnal g_s pattern. All genotypes under low relative humidity (LRH) and most genotypes under high relative humidity (HRH) displayed a gradual decline pattern from morning through the afternoon. Under moderate relative humidity (MRH), all genotypes present a single-peak curve pattern, but they differed in peak time, which may lead to unreliable g_s comparison between genotypes and get ostensible contrasting materials. The stomatal conductance was significantly different among genotypes under LRH and the increased g_s magnitude is also significantly different when it was compared between LRH and HRH. The present results provide new thinking for selecting and adopting appropriate cultivars with specific stomata traits for the area with various meteorological conditions.     

Acquired Thermo‐Tolerance and Trans‐Generational Heat Stress Response at Flowering in Rice

In rice, pre‐exposure to sublethal treatment followed by harsh lethal treatment is known to improve tolerance of different abiotic stresses at the vegetative stage within and across generations. Our major aim was to test the phenomenon of thermo‐tolerance at flowering across (trans)‐generations and within generation using rice cultivars contrasting for heat stress tolerance at flowering. To test trans‐generational response, plants were exposed to higher temperature at flowering stage and seeds obtained from previous generations were exposed to heat stress during flowering, which recorded significantly lower fertility when exposed to the same degree of stress in their subsequent generations. A pre‐acclimation to moderately high acclimating temperatures imposed over three different durations during the vegetative and initial reproductive stage showed positive response in the tolerant N22, particularly under severe heat stress (40 °C). This finding indicates the possibility of acquiring ameliorative thermo‐tolerant mechanisms at anthesis, restricted to tolerant genetic backgrounds to combat subsequent harsh conditions within the same generation. However, trans‐generational memory was ineffective in mitigating spikelet sterility losses in both tolerant and susceptible backgrounds. Rice is extremely sensitive to heat stress during flowering; hence, similar exercise across other crops of interest needs to be carried out before generalizing conclusions.     

响应面法优化香水莲花甾醇的超声提取工艺

为了分析香水莲花的植物甾醇含量并优化其超声提取工艺,采用高效液相色谱（HPLC）法测定香水莲花中菜籽甾醇、菜油甾醇和β-谷甾醇的含量,再以上述3种甾醇提取量为评价指标,对液料比、超声提取温度和超声提取时间进行单因素试验,在此基础上,再采用Box-Behnken响应面法优化香水莲花甾醇提取工艺并进行验证。结果表明,影响香水莲花甾醇提取量的主次因素是液料比>提取时间>提取温度,其最优工艺条件为以95%乙醇为提取溶剂、超声功率100 W、液料比30∶1（mL/g）、超声提取温度60 ℃、超声提取时间30 min;在最优工艺条件下进行验证实验,得出香水莲花中甾醇含量为菜籽甾醇64.61 mg/100 g、菜油甾醇40.77 mg/100 g、β-谷甾醇99.04 mg/100 g,总甾醇204.42 mg/100 g,综合评分与预测值相比差异不显著（P<0.05）。研究结果为香水莲花资源的开发和利用提供参考。     

叶面阻隔联合土壤钝化对水稻镉吸收转运的影响

为了探讨叶面阻隔联合钝化对水稻镉吸收转运的影响，实现重金属污染农田稻米安全生产，采用大田试验的方式，选用氨基酸螯合硒营养液肥和活性硅肥作为叶面阻隔剂，硅钙肥和贝壳粉作为土壤钝化剂，在田间共设置7个处理：水稻常规种植（CK），叶面喷施氨基酸螯合硒营养液肥（Se400），叶面喷施活性硅肥（Si1000），叶面喷施氨基酸螯合硒营养液肥的同时分别基施硅钙肥（Se400GG）和贝壳粉（Se400BK），叶面喷施活性硅肥的同时分别基施硅钙肥（Si1000GG）和贝壳粉（Si1000BK）。水稻成熟后对水稻籽粒、颖壳、秸秆、根四部分的镉含量进行检测。结果表明：与对照处理相比，各处理水稻籽粒中镉含量均不同程度降低，且叶面阻隔联合土壤钝化处理的效果更好。Se400GG处理水稻籽粒镉含量下降最明显，降幅为88.13%，水稻籽粒镉含量为（0.18±0.01）mg·kg^-1，低于大米镉限量值0.2 mg·kg^-1（GB 2762—2017）；其次是Si1000GG处理，水稻籽粒镉含量下降了56.77%；单独叶面阻隔的两个处理Si1000和Se400效果较差，水稻籽粒镉含量仅下降了18.28%和9.03%。水稻籽粒镉含量降低的主要原因是水稻各部位的富集系数和转运系数减小，Se400GG和Si1000GG处理水稻根到秸秆的转运系数下降了84.93%和72.60%，水稻籽粒的富集系数下降了87.88%和56.06%，而Se400和Si1000处理水稻根到秸秆的转运系数仅下降46.58%和38.36%，水稻籽粒的富集系数仅下降12.12%和15.91%。可见，叶面阻隔联合钝化技术，尤其是叶面喷施氨基酸螯合硒营养液肥的同时基施硅钙肥能更有效地阻隔水稻对镉的吸收和转运，降低水稻籽粒镉的含量，是值得在镉低污染稻田推广应用的技术。     

Assessment of Vein Diameter and Body Surface Temperature after High-Intensity Laser Therapy (HILT) on the Tarsal Joint in Healthy Horses

The aim of the study was to assess the influence of high-intensity laser therapy (HILT) on vein diameter and on body surface temperature changes in the tarsal joint area in a group of clinically healthy racehorses. The hypothesis of the study was that HILT increases vein diameter and body surface temperature in healthy tissue. The study involved 16 Thoroughbreds being subjected to ultrasonographic examination to assess changes of diameter of the cranial branch of the medial saphenous vein and thermographic examination to indicate temperature change of the dorsal surface of the tarsal joint, just before and immediately after HILT treatment. Vein diameter and mean surface temperature of the tarsal joint significantly increased after HILT treatment. In addition, the study was the first to describe the photothermal effect of HILT in healthy horses. More studies are necessary to specify the parameters of the procedure, that is, wavelength, energy density, or time of the procedure, depending on the patient’s individual characteristics and type of tissue.     

Land surface temperature retrieval for arid regions based on Landsat-8 TIRS data:a case study in Shihezi,Northwest China

Scientific interest in geophysical information about land surface temperature （LST） is ever increasing, as such information provides a base for a large number of applications, including environmental and agricultural monitoring. Therefore, the research of LST retrieval has become a hot topic. Recent availability of Landsat-8 satel- lite imagery provides a new data source for LST retrieval. Hence, exploring an adaptive method with reliable ac- curacy seems to be essential. In this study, basing on features of Landsat-8 TIRS thermal infrared channels, we re-calculated parameters in the atmospheric transmittance empirical models of the existing split-window algorithm, and estimated the ground emissivity with the help of the land cover classification map of the study area. Further- more, a split-window algorithm was rebuilt by virtual of the estimation model of the updated atmospheric transmit- tance and the ground emissivity, and then a remote sensing retrieval for the LST of Shihezi city in Xinjiang Uygur autonomous region of Northwest China was conducted on the basis of this modified algorithm. Finally, precision validation of the new model was implemented by using the MODIS LST products. The results showed that the LST retrieval from Landsat-8 TIRS data based on our algorithm has a higher credibility, and the retrieved LST is more consistent with the MODIS LST products. This indicated that the modified algorithm is suitable for retrieving LST with competitive accuracy. With higher resolutions, Landsat-8 TIRS data may provide more accurate observation for LST retrieval.     

甘蓝型油菜耐低温生长生理生化响应机制

为提高甘蓝型油菜耐寒育种过程中的筛选效率，研究甘蓝型油菜耐低温机理，以8个不同抗寒性的甘蓝型油菜为材料，对低温条件下各材料的生物量、叶绿素、脯氨酸和相对电导率进行测定，发现在室外平均气温2.75℃时，抗性材料的生物量、叶绿素和脯氨酸的累积量都显著高于敏感材料，相对电导率没有显著差异；当平均气温7.52℃回升至12.39℃，抗性材料和敏感材料生物量的累积量无显著差异；在恒定低温10℃/4℃处理下抗性材料和敏感材料在处理前3周生物量均持续累积，但从第4周开始敏感材料新叶出现白斑，生物量减少，抗性材料老叶出现白斑，生物量维持不变。结果表明，耐低温材料在低温条件下叶绿素含量受到的影响较小，脯氨酸的积累量持续上升，具有较强的快速适应能力，在低温下具有显著的持续生长优势。     

Simulation of future dissolved oxygen distribution in pond culture based on sliding window-temporal convolutional network and trend surface analysis

Dissolved oxygen (DO) is a key ecological factor to measure the quality of water in the aquaculture. As the pond water body is affected by the breeding environment, the spatial distribution of DO shows a certain law in the entire pond. Therefore, to simulate the distribution of DO in aquaculture waters and grasp the temporal and spatial variation of DO is the key to achieving precise regulation of DO. For this purpose, this paper proposed a method for simulating the temporal and spatial distribution of DO in pond culture based on a sliding window-temporal convolutional network together with trend surface analysis (SW-TCN-TSA). This paper first utilized SW to construct DO data sets with different prediction durations, and then used the improved TCN model to realize one-dimensional time series prediction for DO at single monitoring point. Based on the prediction results of DO, a TSA method was performed on the predicted values of DO at the extreme moments of all discrete monitoring points, so as to realize the simulation of the temporal and spatial distribution of DO in the pond. Experimental results show that the SW-TCN model has better prediction performance for one-dimensional time series prediction of DO. Compared with traditional deep networks, such as CNN, GRU, LSTM, CNN-GRU and CNN-LSTM, the values of evaluation indicators (MSE, MAE and RMSE) have been greatly improved. In the process of trend surface fitting, all fitting R² of DO at different water depths are higher than 0.9, indicating that the TSA can accurately reflect the temporal and spatial distribution of DO. This method can provide a basis for the prediction and early warning of DO in the three-dimensional space of the pond and has high practicability in aquaculture.