基于Region Manager的北京土壤可风蚀性研究

在对北京市各种类型土壤进行调查的基础上,采用美国土壤学家D.W.Fryrear等人的计算土壤可蚀部分含量方程,计算北京主要土壤类型（亚类）表层的可蚀含量,建立了北京市可风蚀性数据库。用Region Manager地理信息系统制作北京土壤可风蚀性风分级图,并对北京地区主要土壤类型的可风蚀性进行分析与讨论,为正确评价北京土壤风蚀危害提供科学依据。     

Linkage relationships among loci controlling morphological traits in cowpea (Vigna unguiculata (L.) Walp.)

Summary Linkage among loci controlling various morphological traits in cowpea were determined using F₂ progenies. Data were collected on individual plants of four crosses segregating for several loci. Recombination estimates between the following pairs of loci were as follows: Sw (swollen vs normal stem base)-Fbc (cream vs green flower buds) (41±4.8%), Pu^s(purple vs green stems)-Cbr (cocoa-brown vs straw-yellow dry pods) (31±5.7%), Pu^p(purple vs green immature pods)-Cbr (30±5.7%), Pu^s-Pu^p (4±1.5%), Ndt (non-determinate vs determinate)-Pd (peduncle colour) (26±2.8%), Ndt-Hg (semi-erect vs erect plant type) (26±2.8%), P^t(purple vs green pod tips)-Bk (greyish-black vs straw-yellow dry pods) (19±2.4%) and Hg-Bpd (normal vs branching peduncle (24±9.5%). Four linkage groups (LG) were identified in these studies. The proposed LG I contained loci Sw and Fbc; LG II loci Pu^s, Pu^p, and Cbr; LG III loci Pd, Ndt, Gh, and Bpd; and LG IV loci P^tand Bk.     

Landscape-ecological mapping of the Netherlands

The Landscape-ecological Mapping of the Netherlands project (LMN project) started in 1983 with the aim of establishing a landscape-ecological database for use in developing and evaluating national land-use plans. The project, working with grid cells of 1 km², has four working objectives: a) development of mapping potential for basic landscape-ecological data, b) assessment of susceptibility to interventions, c) evaluation of significance for nature conservation and d) production of vulnerability maps, as a combination of susceptibility and significance. In addition to information on soil, groundwater, ecotopes, flora and fauna, the database also incorporates information on physiographical features and entire landscapes. The resulting database is a geographic information system (GIS). This article describes the second phase of the project (1985–1989), covering the Randstad area, and focusses on the methods and the applications potential of the database.     

利用AFLP分子标记构建杂种葱的遗传图谱

 利用大葱与野葱杂交获得的F2分离群体,通过AFLP分子标记的遗传分析,构建了包含10个连锁群,228个遗传标记的杂种葱较高密度的连锁图谱,该图谱覆盖902.6cM,平均图距为3.95cM。     

Cultivar identification and genetic map of mango (Mangifera indica)

Amplified Fragment Length Polymorphism (AFLP) information was used for identification of mango (Mangifera indica L.) cultivars, for studying the genetic relationship among 16 mango cultivars and seven mango rootstocks and for the construction of a genetic linkage map. Six AFLP primer combinations produced 204 clear bands and on the average 34 bands for each combination. The average Band-Sharing between cultivars and rootstocks was 83% and 80%, respectively. The average Band-Sharing for mango is 81%. The probability of obtaining a similar pattern for two different mango cultivars and rootstocks is 6 × 10⁻³and 2 × 10⁻³, respectively. A preliminary genetic linkage map of the mango genome was constructed, based on the progeny of a cross between ‘Keitt’ and ‘Tommy-Atkins’. This linkage map consists of 13 linkage groups and covers 161.5 cm defined by 34 AFLP markers. This revised version was published online in August 2006 with corrections to the Cover Date.     

基于科学知识图谱谈土壤有机碳研究进展

以"土壤有机碳"为主题词,从ISI Web of Science数据库核心集中检索出1975—2018年文献2 258篇,运用CiteSpace知识图谱分析工具,对合著国家、作者、机构、学科领域、文献共被引网络以及关键词共现网络等进行可视化分析,对土壤有机碳的研究进展及演变趋势进行了图谱解读和追踪分析。结果表明:(1)土壤有机碳研究经历了起步、发展、稳定三个阶段;(2)土壤有机碳研究具有很强的学科交叉性,涉及环境生态学、环境科学、农业综合、农艺学、化学、农学及生态学等众多学科领域;(3)当前的研究方向主要为土壤有机碳储量与稳定土分离;(4)研究趋势已转为碳储量与耕地管理研究;(5)中国土壤有机碳研究起步较晚但发展迅速,在国际上处于重要地位。     

压力式谷物产量监测系统优化与试验验证

为了提高谷物收获作业过程中谷物产量在线监测的精度,研制了基于谷物流压力原理的车载谷物产量在线监测系统,该系统包括谷物流量监测装置、定位装置、割台高度控制开关、核心处理器以及人机交互装置.以谷物产量与谷物流压力间的谷物产量监测数学模型为指导,搭建了谷物产量监测试验台,采用Box-Behnken试验设计方法优化谷物流量监测...     

基于MAPINFO电子地图制作方法研究

研究利用MapInfo商用GIS软作制作电子地图的方法,分析在制作过程中的关键技术问题,给出一个长沙市电子地图实例。     

无人机遥测技术在水土保持生态果园改造监测中的应用

以江西水土保持生态科技园为研究区,通过无人机遥测技术以及地理信息系统,对生态果园水土保持措施进行图斑化、信息化管理研究.结果表明:无人机遥测技术获取的不同阶段的航飞影像可用于生态果园改造的动态监测;利用Agisoft photoscan软件处理航飞影像可生成高分辨的数字正射影像(DOM)以及数字地表模型(DSM)数据;利用生成的DOM,结合地理信息系统,可获取生态果园水土保持措施的分布、数量、长度等信息,建立生态果园水土保持措施数据库,并输出报表和专题图.经与实际量测长度验证,基于DOM提取的长度平均精度为97.99％;与实测坡度验证,基于DSM数据提取的坡度平均精度为88.91％.无人机遥测技术能够快速、准确、自动获取地物的面积、长度、坡度等指标数据,可满足当前水土保信息化的要求,提升综合治理项目实施监测的信息化水平,提高施工监测的质量和效率.