灰霉菌侵染对番茄幼苗活性氧积累及抗氧化酶活性的影响

为进一步分析活性氧和抗氧化防御系统在番茄抗病信号调控机制中的作用,为提高产量和品质提供科学依据,以4叶1心的番茄幼苗为试验材料,比较番茄幼苗受灰霉菌侵染后叶片O_2~-·以及抗氧化酶、内源褪黑素等的变化。结果表明:番茄幼苗接种灰霉菌后,随着时间的延长,幼苗叶片上病斑斑点逐渐增多,灰霉菌含量显著增多,叶色逐渐变浅,植株表现明显的发病症状;灰霉病菌侵染后番茄体内O_2~-·活性爆发,超氧化物歧化酶(SOD)和过氧化物酶(POD)活性下降,过氧化氢酶(CAT)和谷胱甘肽还原酶(GR)活性上升,褪黑素含量增加;上述变化都是番茄幼苗为了抵御灰霉菌的生物胁迫而发生的应激反应。综上,植物在遭受病原菌等生物胁迫时不能简单地推断SOD、CAT和POD等抗氧化酶活性一定升高,植物抵御病原菌侵染更多地依赖于抗性信号路径中信号物质的激活和积累。     

基于改进极限学习机的水体溶解氧预测方法

为了有效地指导水产养殖生产，提高溶解氧浓度预测的精度，提出了基于因子筛选和改进极限学习机（Extreme Learning Machine，ELM）的水产养殖溶解氧预测模型。首先，利用皮尔森相关系数法计算各影响因子与溶解氧浓度间的相关系数，提取强关联因子，降低预测模型的输入量维度；采用偏最小二乘算法（Partial Least Square, PLS）优化传统ELM神经网络，避免网络中隐含层共线性问题，保障输出权值的稳定性；然后，结合新型激活函数，构建水体溶解氧浓度预测模型。最后，将SPLS-ELM（Selection Based Partial Least Square Optimized Extreme Learning Machine）预测模型应用到江苏省无锡市南泉基地某试验池塘的水体溶解氧预测中。试验结果表明：该模型的预测均方根误差为0.3232，与最小二乘支持向量机（Least Square Support Vector Machine，LSSVM）、BP神经网络、粒子群（Particle Swarm Optimization，PSO）优化LSSVM和遗传算法（Genetic Algorithm, GA）优化BP神经网络相比分别降低40.98%、44.48%、34.73%和44.18%。且该模型的运行时间仅0.6231s，预测精度和运行效率明显优于其他模型。该模型的溶解氧预测曲线接近真实溶解氧变化曲线，能够满足水产养殖实际生产对水体溶解氧预测的要求。     

不同吸附特性的稻草生物炭对稻田氨挥发和水稻产量的影响

秸秆生物炭具有改善土壤生态环境、土壤蓄水保肥和减少温室气体排放等正效应,但其石灰效应会加大稻田氨挥发损失。为充分发挥生物炭吸铵特性,降低其石灰效应的不利影响,对不同热解温度(300、500、700℃)和酸化水平(pH值=5、7、9)稻草生物炭处理下的田面水NH_4~+-N浓度、氨挥发和水稻产量进行了研究。结果表明:偏酸性(pH值=5)、中性(p H值=7)生物炭处理在基肥期和分蘖肥期均能显著降低田面水NH_4~+-N峰值浓度(P0.05),降幅达16.90%～35.60%。全生育期稻田氨挥发损失占施氮量的15.14%～26.05%(2019年)、15.10%～19.00%(2020年)。稻田增施热解温度为700℃、酸化水平为5(p H值=5)的生物炭(C700P5)降氨效果最好,两年氨挥发分别显著降低22.93%、12.61%(P0.05)。高温热解配合偏酸性、中性生物炭(C700P5、C700P7)增产效果显著,增产率达9.92%～13.50%,结构方程模型表明,其增产原因是生物炭酸化处理降低了稻草生物炭的石灰效应,而热解温度调整提高了生物炭阳离子交换量(CationExchange Capacity,CEC),进而降低了田面水NH_4~+-N浓度和氨挥发损失,最终提高了水稻地上部氮素积累和水稻产量。研究可揭示不同热解温度和酸化水平制备的生物炭在稻田中的应用潜力,并为稻田合理施用生物炭和减少化肥施用量提供理论依据。     

Biochar has little effect on soil dissolved organic carbon pool 5 years after biochar application under field condition

Biochar application can improve soil properties, such as increasing soil organic carbon content, soil pH and water content. These properties are important to soil dissolved organic carbon (DOC); however, the effects of biochar on DOC concentration and composition have received little research attention, especially several years after biochar application under field conditions. This study was conducted in a long‐term experimental field where the biochar was only applied once in 2009. The purpose of the study was to investigate the effect of different biochar application rates (0, 30, 60 and 90 t ha^?1) on the dynamics of soil water content, DOC concentration and DOC compositions (reducing sugar, soluble phenol and aromatics) over nine samplings during a 12‐month period in 2014. Our results showed that soil water content and DOC concentration varied from 7.1% to 14.5% and 59 to 230 mg C kg^?1 soil during the 12 months, respectively. However, the biochar application rates did not significantly (p > 0.05) affect soil water content, DOC concentration and DOC composition at the same sampling period. The DOC concentration across the biochar treatments was positively correlated to soil water content. Moreover, the DOC composition (reducing sugar, soluble phenol or aromatics) and their concentrations were positively correlated to the total DOC concentration. In addition, biochar did not affect soil bulk density, pH, saturated hydraulic conductivity and crop yields. The results indicated that some benefits of biochar to soil may not persist 5 years after the application of biochar under a field condition.     

基层常见猪传染性腹泻病的临床诊断与防控对策

猪传染性腹泻病是猪的常见多发病。基于受基层单位病原检测技术的条件限制,一旦发生传染性腹泻病,基层兽医通常依据临床症状做出初步诊断与治疗,如果临床经验稍有不足,误诊、误治或延误诊治的现象时有发生。为此梳理出了常见的12种猪传染性腹泻病临床诊断要点与综合防治措施,以防止其重大疾病的发生。     

村庄空心化背景下的农村居民点空间布局重构研究

农村居民点空间布局重构对于指导区域农村居民点整理规划、实现土地可持续发展具有重要意义。笔者以黑龙江省明水县明水镇为研究区,通过计算研究区空心化程度、农村居民点整理的重要性指数、迫切性指数、整理时序指数,对农村居民点的整理时序进行划分,提出农村居民点的整理迁移方案。研究结果表明:研究区各村屯农村居民点空心化现象明显,向阳村张奎英屯空心化率最高;在空心化趋势预测结果中,规划近期城北村空心化增强趋势变化最明显,规划中期互助村空心化增强趋势变化最明显,规划远期向阳村空心化增强趋势变化最明显;在农村居民点整理时序上,保留农居点占总数的35.29%,近期整理农居点占总数的9.8%,中期整理农居点占总数的23.53%,远期整理农居点占总数的31.37%。最后提出合理的整理迁移方案,研究成果为指导县域农村居民点整理规划提供参考和科学依据。     

不同饲粮粗蛋白质水平下黑水虻蛋白替代豆粕对蛋鸡生产性能、蛋清品质及血清蛋白质代谢指标的影响

本试验旨在探讨不同饲粮粗蛋白质水平下黑水虻蛋白替代豆粕对蛋鸡生产性能、蛋清品质及血清蛋白质代谢指标的影响。采用单因素随机试验设计,选用252只产蛋率相近的33周龄罗曼白蛋鸡,随机分为3组,每组7个重复,每重复12只鸡。各组分别饲喂标准回肠可消化氨基酸(SIDAA)平衡模式下配制的不同粗蛋白质水平(16.50%、14.85%、13.20%)的玉米-豆粕-黑水虻蛋白饲粮,各组黑水虻蛋白与豆粕提供等量的粗蛋白质。预试期2周,正试期12周。结果表明:1)与16.50%组相比,14.85组%和13.20%组的产蛋率和平均日采食量无显著影响(P>0.05),平均蛋重显著降低(P<0.05),料蛋比显著升高(P<0.05);13.20%组的产蛋量显著降低(P<0.05),14.85%组的产蛋量无显著差异(P>0.05)。2)与16.50%组相比,14.85%组的平均蛋重、蛋清重、浓蛋白重、蛋白高度、哈氏单位和蛋清比例均无显著差异(P>0.05);13.20%组的平均蛋重、浓蛋白重、蛋白高度显著降低(P<0.05),蛋清重和哈氏单位呈下降趋势(P=0.0513和P=0.0673)。3)各组血清谷草转氨酶、谷丙转氨酶活性及总蛋白、白蛋白、尿酸含量无显著差异(P>0.05)。16.50%和13.20%饲粮粗蛋白质水平对蛋鸡输卵管膨大部分泌功能有轻微不良影响。由此可见,在SIDAA模式下,以黑水虻蛋白替代豆粕并使饲粮粗蛋白质水平降低至14.85%时对鸡蛋蛋清品质无不良影响。     

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.     

华南花岗岩侵蚀区不同植被类型坡面土壤有机碳分布和团聚体稳定性

植物是影响土壤有机碳含量和土壤团聚体稳定性的重要因素。选取华南典型花岗岩侵蚀区荒草地、桉树林、湿地松林和木荷林4种植被类型径流小区的土壤为研究对象,分析测定不同坡位、不同土层深度的土壤有机碳特性和团聚体稳定性等指标,评价不同植被类型对土壤养分的分布特性以及团聚体稳定性差异,明确花岗岩侵蚀退化区较为理想的生态恢复措施,旨在为合理利用土壤、重建坡面植被和改善土壤结构提供科学依据。结果表明:土壤总有机碳(TOC)、全氮(TN)和溶解性有机碳(DOC)含量随土层加深逐渐降低,而林地小区土壤碳氮比(C/N)则相反,荒草地碳氮元素的坡面变异系数(CV)显著高于其他3种林地,其中桉树林地TOC、TN、DOC和C/N的坡面分布的变异系数较荒草地分别降低40%,56.18%,68.5%和25.81%;湿地松林地TOC、TN、DOC和C/N的坡面分布的变异系数较荒草地分别降低62.73%,33.71%,46.46%,58.06%;木荷林地TOC、TN、DOC和C/N的坡面分布的变异系数较荒草地分别降低41.82%,38.2%,51.18%,48.39%,表明林地较荒草地更有利于土壤碳氮在坡面的均质化和有机质的积累。荒草地和木荷林地0.25 mm粒径以上的团聚体在上、中坡位的质量分数显著高于其他植被类型,而林下植被生物量较高的木荷林地的平均质量直径(MWD)和几何平均直径(GMD)显著高于其他植被类型。其中木荷小区水稳性团聚体平均质量直径(MWD)较荒草地、桉树和湿地松分别高20.10%,19.58%,23.20%;几何平均直径(GMD)较荒草地、桉树和湿地松分别高20.00%,19.54%,22.23%,表明在花岗岩侵蚀区林地空间结构较好的林草模式有利于土壤有机碳的积累和土壤结构的稳定。     

基于氧同位素的玉米农田蒸散发估算和区分

农田蒸散发(evapotranspiration,ET)的估算和区分是土壤-植物-大气连续体中的重要研究内容,是农业水资源高效利用的重要基础。该研究分析了土壤水、蒸发水汽、蒸腾水汽和大气背景混合水汽氧同位素组成分布特征,并采用2种同位素的方法对玉米农田蒸散发进行估算和区分:1)结合Keeling plot和Craig-Gordon模型的同位素方法(Iso-CG);2)基于土壤水同位素守恒和水量平衡的方法(Iso-WB)。结果表明,在玉米生育期内Iso-WB方法与Iso-CG方法所计算的玉米蒸腾比例分别为0.64~0.91和0.52~0.91,平均值分别为0.80和0.78。玉米蒸散发总量在前期、中期和后期均值分别为3.95、5.30和4.98 mm/d。通过比较参数并与前人研究结果对比分析,表明采用Iso-CG方法估算区分ET相对精确,采用Iso-WB方法计算蒸散发要求的测量精度相对较高,计算误差较大。该研究成果不仅为玉米农田制定灌溉制度及提高用水效率提供了理论依据,而且对深入探索氧同位素水文学领域具有重要意义。