铯－134在幼龄茶树叶片中的分布特点

茶树上喷洒￣（１３４）Ｃｓ后，老叶上的沉积量和新叶上的吸收量均按指数回归形式下降，下降的速率以老叶上最快，春茶叶和夏茶叶上次之，秋茶叶上最慢；灌溉和土壤中拌入￣（１３４）Ｃｓ后，茶叶对￣（１３４）Ｃｓ的吸收分两个阶段进行，前期随着时间延长而增加。后期则减少。吸收量有个最大值；茶叶中￣（１３４）Ｃｓ的含量在喷洒情况下比灌溉和拌土的高。     

陕西关中东部灌区施用氮磷钾肥对夏玉米产量的影响

对陕西关中东部灌区夏玉米施用氮磷钾肥进行了研究,结果表明:施用氮磷钾肥能显著增加玉米产量,是夺取玉米高产的有效措施。氮磷钾肥对玉米产量和经济性状影响的顺序是:N>P>K。     

Long-term application of animal slurries to grassland alters soil cation balance

Abstract. Soil samples from a 32-year grassland field experiment were taken from 0–5, 5–10, and 10–15 cm soil depths in February 2002. Plots received annual treatments of unamended control, mineral fertilizer, three rates of pig slurry and three rates of cow slurry, each with six replicates. Samples were analysed for cation exchange capacity (CEC), exchangeable cations (Na⁺, K⁺, Ca²⁺, Mg²⁺), pH and Olsen P. Exchangeable sodium percentage (ESP) was calculated as a sodicity indicator. Mean ESP was generally greater for slurry treatments than the control, with a trend of increasing ESP with application rate. This was particularly marked for cow slurry. At 0–5 cm depth ESP increased from 1.18 in the control to 1.75 at the highest rate of pig slurry and 5.60 at the highest rate of cow slurry. Similar trends were shown for CEC, exchangeable Na⁺, K⁺ and Mg²⁺, Ca²⁺ and Olsen P. The build-up of soil P due to slurry applications, together with this combination of physical and chemical factors, may increase the risk of P loss to surface waters, particularly from soils receiving high rates of cow slurry.     

灌水量对不同类型晚稻生育及产量影响的初步研究

采取盆栽遮雨人工定量灌水的方法,探讨了常规晚稻和杂交晚稻前后两大生育时期不同灌水量对生育和产量的影响.结果表明:两类型晚稻品种前后两个生育时期节水灌溉都能达到高产之目的,但不同类型和不同生育时期的最佳灌水量和节水效果不同.     

毛条灌木草场建立方法的研究

通过对毛条灌木林进行平茬，在人工灌溉条件下观测平茬毛条生物产量的变化，认为毛条平茬后具有很强的萌蘖能力，可产生原生枝条数4．1倍的萌生枝条；每年灌溉1次，灌水量1050m^3／hm^2，既可维持平茬毛条林的正常生长；在4株／m^2的密度条件下，平茬毛条的年产草量(干质量)可达538g／m^2，植被盖度可达78％以上，达到了经济效益和生态效益的共同提高；根据平茬毛条的生长变化规律，可初步确定冬春季节和夏季干旱时期为毛条灌木草场适宜的放牧时间。     

冻融中土壤的水热动态

根据在北京郊区的试验,认为土壤水冻融过程可分为三阶段,其中第二阶段有聚墒现象,平均聚墒8.6mm,所聚的墒在融化过程中又逐渐消失。气温回升至-2℃左右是冻层下部由冻到融的转折温度。冬灌水保存到来年春季的数量有限,本试验中1m 土层内平均不足20mm。     

ULTRASONOGRAPHIC FEATURES OF DIFFUSE HEPATOCELLULAR DISORDERS IN DAIRY CATTLE

Ultrasonography of the liver was performed in 200 Holstein-Friesian dairy cattle using a 3.5 MHz transducer with a linear array electronic scanner. Liver samples were taken, processed and examined microscopically and the fat occupying rate was calculated. The hepatic ultrasonograms were evaluated according to the presence of bright pattern, dark pattern, deep attenuation, vascular blurring and blurring of edges. Of the 200 animals, 96 had a normal liver, 63 had hydropic degeneration of the liver, 37 had fatty infiltration of the liver, 3 had liver dystrophy and I had hepatic amyloidosis, diagnosed through histopathological examination. Amyloidosis was characterized by bright pattern and blurring of edges. Liver dystrophy had higher percentages of bright pattern and blurring of edges than normal liver. Hydropic degeneration had higher percentages of dark pattern and blurring of edges than normal liver. Fatty infiltration had higher percentages of bright pattern, deep attenuation, vascular blurring and blurring of edges than normal liver. The present results suggest that different ultrasonographic patterns can be observed in various diffuse hepatocellular disorders in dairy cattle     

覆盖免耕在休闲期的节水和生育期的调温效应

对免耕覆盖、秸秆还田和常规耕作在休闲期的节水效果研究表明:在夏季休闲期,免耕覆盖比常规耕作多贮水30.62mm,比秸秆还田多23.91mm;在冬季储水灌溉期间,可将储水定额从2100m3/hm2减少到600和975m3/hm2。对春小麦生育期土壤表层,5、10、15、20和25cm处温度变化观测发现:免耕覆盖土壤温度在气温较低的8:00可以提高土壤表层温度,在气温较高的14:00可以减缓土壤温度的升高,而在19:00气温降低时可以减缓土壤温度的降低,使土壤温度一直保持在一个稳定的状态,这有利于调节农田小气候,创造作物良好的生长环境。     

供水工程影响下中国北方地区耕地后备资源开发潜力

灌溉水源是北方地区耕地后备资源能否有效开发的关键。当前,中国正在推动国家水网工程规划建设,为北方地区耕地后备资源开发提供了新的机遇。在以往研究基础上,该研究考虑北方地区已建、在建及规划的供水工程,基于自然适宜、利用高效、发展稳定三方面评价准则,结合三维魔方空间分类方法,开展了雨养情景和供水灌溉情景下耕地后备资源开发潜力分析。结果表明：雨养农业情景下,北方地区勉强适宜（Ⅱ级）、中度（Ⅲ级）和高度（Ⅳ级）适宜的耕地后备资源面积分别为2.9万、1.0万和0.6万km²。灌溉农业情景下,耕地后备资源面积明显增加,勉强适宜（Ⅱ级）、中度（Ⅲ级）和高度（Ⅳ级）适宜的耕地后备资源面积将分别达到5.4万、7.6万和6.5万km²,主要集中于新疆、内蒙古和甘肃3省（自治区）。该研究结果可为中国耕地后备资源开发利用及国家水网工程效益发挥提供参考。     

基于NGO-CNN-SVM的高标准农田灌溉工程施工成本预测

为提高高标准农田项目施工成本的预测精度,控制施工成本在合理范围,减少投资风险,该研究从单体灌溉工程施工成本预测角度出发,通过随机森林（random forest,RF）筛选出高标准农田灌溉工程施工成本的关键影响因素,结合卷积神经网络（convolutional neural networks,CNN）和支持向量机（support vector machine,SVM）两种模型的优点,通过北方苍鹰优化算法（northern goshawk optimization,NGO）对模型里的惩罚因子和核参数进行寻优,构建基于NGO-CNN-SVM的施工成本预测模型。通过辽宁省2018—2023年高标准农田工程中灌溉工程的施工成本数据,选取样本决定系数R²、平均绝对误差MAE、平均绝对百分比误差MAPE和均方根误差RMSE作为精度指标进行分析,结果表明：基于NGO-CNN-SVM的施工成本预测模型在渠道工程中MAE低于0.615万元,RMSE低于0.512万元,R²达到0.968以上,相对误差小于4.210%;在进水闸工程中MAE低于0.610万元,RMSE低于0.536万元,R²达到0.966以上,相对误差小于4.410%;在桥涵工程中MAE低于0.494万元,RMSE低于0.477万元,R²达到0.970以上,相对误差小于3.548%,并相比较于反向传播神经网络,CNN和CNN-SVM模型,NGO-CNN-SVM模型的预测结果均最优。通过特征选择、模型融合、算法优化以及不同模型对比表明NGO-CNN-SVM模型具有更高的预测准确率和泛化性,可为高标准农田灌溉工程施工成本预测提供理论依据。