干旱胁迫下紫花苜蓿叶片几种内源激素的变化

以陇东(耐旱)、BL-02-329(不耐旱)2种抗旱性强弱差异较大的紫花苜蓿为试验材料,对干旱胁迫下2种紫花苜蓿叶片中ABA,IAA,GA3,ZR 4种内源激素的含量变化进行研究,结果表明:在干旱胁迫下,陇东、BL-02-329两种紫花苜蓿叶片ABA,IAA含量均有不同程度的上升,GA3和ZR的含量均呈下降趋势。干旱胁迫下4种内源激素之间的协调总趋势是向着气孔关闭、促进根系发展的方向进行。重度干旱时,苜蓿叶片中4种内源激素之间的协调趋势反映出抗旱性强的陇东苜蓿通过减缓生长速率来保证生存方面的调节能力较强,能有效地避免缺水伤害。     

The Influence of Organic and Integrated Production on Nutritional,Sensory and Agricultural Aspects of Vegetable Raw Materials for Food Production

In a six-year crop rotation trial organically and integrated grown vegetables were produced according to current good agricultural practices, taking quality and quantity aspects into consideration. The raw materials assessed focussed on materials used for industrial food production. Nutritional, sensory and agricultural aspects were evaluated. Carrot, cabbage, onion, pea and potato are possible to grow organically for industrial purposes. Depending on crop, the yield was lower (65-90%) for organically grown compared to integrated grown. Cultivation of organic spinach and dill turned out to be difficult due to problems with weed and discoloration. The chemical analyses included pesticide residues, nitrate, glycoalkaloid, dry matter, vitamin C and 25 different minerals and trace elements. Overall, the organically grown crops had higher dry matter content than the integrated grown. However, when examining the data for the different crops contradictory results were noted. No significant differences due to growing system were noticed for vitamin C and the other nutrients except for 4 of the trace elements. The growing system did not influence the sensory properties.     

种子含水率在线测量系统

根据种子含水率的测量要求，研制了一种可同时测量电容、质量和温度3个参量的装置和测量电路。该测量系统的机械装置由2个同心圆筒组成，内筒的旋转运动实现被测种子的动态喂料。采用抗寄生电容效应的开关电容电路测量上、下极板之间的电容；下极板同时也是称量平台；温度传感器测量种子的温度。3个测量值经A／D转换电路以数字量输出。分别用3个电路单独测量已知的电容、质量和温度，以及不同温度和相对湿度条件下对电容测量值的影响，并据此分析了各测量单元的精度、可靠性和可行性。     

A model of decision-making and information flows for information-intensive agriculture

This paper describes the development of a systems based model to characterise farmers’ decision-making process in information-intensive practices, and its evaluation in the context of Precision Agriculture (PA). A participative methodology was developed in which farm managers decomposed their process of decision-making into brief decision statements along with associated information requirements. The methodology was first developed on a university research farm in Denmark and further revised during testing on a number of research and commercial farms in Indiana, USA. Twenty-one decision-analysis factors were identified to characterise a farm manager’s decision-making process. Then, a general data flow diagram (DFD) was constructed that describes the information flows “from data to decision”. Illustrative examples of the model in the form of DFDs are presented for a strategic, a tactical and an operational decision. The model was validated for a range of decisions related to operations by three university farm managers and by five commercial farmers practicing PA for cereal, corn and soybean production in Denmark and in Indiana, USA.     

基于PDM犁的智能CAD设计系统

讨论基于产品数据管理(PDM)犁的智能CAD设计系统基本框架及其3个组成部分：设计专家系统、产品数据管理和犁的计算机辅助设计。研究了各部分的功能和技术实现，设计专家系统用于犁的参数化设计过程中参数的选择和装配图装配合理性的判断，PDM主要管理犁的辅助设计相关的数据和文件以及专家系统知识。在此基础上，介绍了集成专家系统和产品数据管理犁的计算机辅助设计软件开发。     

Suitability of Multi-Agent Simulations to study irrigated system viability: application to case studies in the Senegal River Valley

It is assumed that Agent-Based Modeling is a useful technique for water management issues. In particular, it may provide a suitable framework for representing irrigated systems. The objective of this paper is to demonstrate its potential for a specific use: research on irrigated systems’ viability in the Senegal River Valley. The main assumption to be verified is that Multi-Agent Systems constitute a suitable architecture to study theoretically irrigated systems’ viability using simulations. By using Multi-Agent Systems, virtual irrigated systems can be designed that might then be used as virtual laboratories. These virtual labs constitute an alternative when real labs cannot exist for some reason.

In this paper we report on experiments we have conducted using such virtual labs for exploring an Agent-Based Model through the simulation of scenarios. A scenario is defined as a triplet: an environment, a set of individual rules, a set of collective rules. It is evaluated according to the longevity of the irrigated system. An index is defined, based on the ratio of long-enduring simulations among a set of repetitions of a given scenario. Even if simulation results display significant diversity for a given scenario due to random factors in the processes simulated, the ratio of long-enduring simulations is repeatable. This entails to explore the overall behavior of the virtual irrigated system and to build theories concerning the viability of Senegalese irrigated systems. An example is given showing the need for strong coherence for a given environment among individual rules and collective rules.     

地市级农业科研机构"一所两制"改革问题研究——以赤峰市农业科学研究所为例

本文以赤峰市农业科学研究所为例,从科技产业主体和科技创新主体两方面,对“一所两制”改革的现状及存在的问题进行了分析,并在此基础上提出了适合我国现阶段基层农业科研机构企业化转制的渐进式改革模式。     

我国海洋渔业资源养护与管理的法律对策

海洋渔业资源面临枯竭是世界性难题。我国既有的海洋渔业资源养护与管理法基本上形成了国内法体系与国际法体系。但是,对渔业资源的养护与管理,我国缺乏适应市场经济要求的理念。渔业资源立法的现状堪忧。我国缺乏基本的渔业资源养护与管理原则、制度及其规范,其问题与缺陷应得到矫正。立法文本中要提出有针对性的法律规制措施。     

高州水库集水区内污染源污染负荷研究

为探究高州水库集水区内污染状况,根据2008年污染源的调查结果,利用排污系数法和输出系数法,结合现场资料调查分别对该地区点源和非点源污染负荷(COD、NH3-N、TN、TP)进行估算,并应用地理信息系统(GIS)技术对集水区内污染源空间分布特征及来源构成进行分析。研究结果表明,高州水库集水区内COD、NH3-N、TN、TP污染物输出总量分别为8192.83、394.13、1137.38、94.29 t/a,其中非点源污染COD、NH3-N、TN、TP输出量为7114.79、336.91、1060.21、88.08 t/a,占污染物输出总量的比例分别为87%、85%、93%、93%。COD、TN和TP均以农林种植源排放为主,占总输出量的比例分别为50%、52%、50%。NH3-N以农村生活源排放为主,占总输出量的比例为63%。在空间分布上,每年不同乡镇单位面积COD负荷强度为47.08~144.63 kg.hm-2,NH3-N负荷强度2.43~5.24 kg.hm-2,TN负荷强度6.70~20.34 kg.hm-2;TP负荷强度0.60~1.73 kg.hm-2,其中以临近库区的平山镇COD、NH3-N、TN、TP污染负荷强度均最高。在来源构成上,集水区各镇COD、NH3-N、TN、TP污染负荷的70%~94%来源于非点源。因此,为保护高州水库水环境,应将集水区内非点源(农村生活、散养畜禽、农林种植)作为重点控制源,同时根据其空间分布特征进行分区防治,重点防治控制区为平山镇。     

Combined use of optical and radar satellite data for the detection of tillage and irrigation operations: Case study in Central Morocco

The objective of this study is to present a new application of optical and radar remote sensing with high spatial (∼10 m) and temporal (a few days) resolutions for the detection of tillage and irrigation operations. The analysis was performed for irrigated wheat crops in the semi-arid Tensift/Marrakech plain (Central Morocco) using three FORMOSAT-2 images and two ASAR images acquired within one week at the beginning of the 2005/2006 agricultural season.The approach we developed uses simple mapping algorithms (band thresholding and decision tree) for the characterisation of soil surface states. The first images acquired by FORMOSAT and ASAR were processed to classify fields into three main categories: ploughed (in depth), prepared to be sown (harrowed), and not ploughed-not harrowed. This information was combined with a change detection analysis based on multitemporal images to identify harrowing and irrigation operations which occurred between two satellite observations.The performance of the algorithm was evaluated using data related to land use and agricultural practices collected on 124 fields. The analysis shows that drastic changes of surface states caused by ploughing or irrigation are detected without ambiguity (consistency index of 96%). This study provided evidence that optical and radar data contain complementary information for the detection of agricultural operations at the beginning of agricultural season. This information could be useful in regional decision support systems to refine crop calendars and to improve prediction of crop water needs over large areas.