南京设施农业机械化装备水平调研

分析了南京市设施农业机械化装备现状及存在问题,提出了南京市设施农业机械装备的发展方向与重点、以及设施农业机械化的实施途径与发展对策。     

基于奇点分布法的轴流泵叶片翼型设计与计算

为将奇点分布法这一有优势的流体机械叶片翼型设计方法应用于轴流泵叶轮叶片设计,以平面势流理论及数值计算为基础,推导了基于适合轴流泵叶片翼型边界条件的漩涡密度函数的系统应用性计算公式,所获结果将准确确定各翼型骨线关键节点位置,它们形成的翼型骨线在满足给定设计点泵的性能参数的同时,还能形成要求的流动奇点与驻点,由此产生流动损失最小的叶片翼型。以该方法改型设计的一台轴流泵的型式试验表明,设计泵在设计点的效率由原来的78%提升到85%,特性曲线符合要求。该研究深化了轴流泵叶轮叶栅流动理论,将奇点分布理论转化为轴流泵叶轮翼型的实用设计方法,为设计技术人员提供了开发新产品的工具。     

Research on immunization strategies based on independent sets of complex networks

According to the concept of independent set, this paper proposes a new immunization strategy of complex networks which immunizes the nodes in an independent set with maximum degree, called targeted immunization in the independent set. When the total degree of immune nodes in independent set is equal to the total degree of targeted immunization nodes in the whole network, the immunization strategy of independent set is more effective than the targeted immunization strategy of the whole network. Based on the network structure, this paper explains the reason. Comparing the random immunization of independent sets with the random immunization in the whole network, test results indicate that more nodes do not be removed with high degree for the random immunization of independent sets. For classic susceptible-infected(SI) model, all nodes in the network are only two states: susceptible or infected. In the study of immunization strategies, comparing SI model with SIR, SIS models. The use of SI model will be more favorable.     

Identification of a diverse mini‐core panel of Indian rice germplasm based on genotyping using microsatellite markers

Identification of a small core germplasm set representing the available genetic diversity is essential for its proper evaluation and subsequent utilization in rice improvement programmes. For constituting a small diverse mini‐core panel of Indian rice germplasm, a representative set of 6912 accessions drawn based on their geographic origin from the whole rice germplasm collection available in the National Gene Bank was genotyped using 36 microsatellite markers. Automated fragment analysis of amplicons yielded a total of 435 alleles, with an average 12.4 and range of 3–29 alleles per locus. Polymorphism information content (PIC) ranged from 0.08 (RGNMS190) to 0.86 (RM552) with an average of 0.528. Based on genotyping data, a mini‐core consisting of 98 genotypes was identified. Ninety‐four per cent of the alleles present in the core set were present in the mini‐core. The identified small but diverse panel will be useful for further intensive trait‐specific evaluation and utilization in allele mining.     

Formalizing agro-ecological engineering for future-oriented land use studies

Agriculture faces an array of interrelated problems that call for development of new and revision of existing cropping systems towards the multiple needs of the 21st century. Agro-ecological engineering approaches aimed at design and exploration of alternative land use systems at various scales may support the identification of appropriate land use options. Engineering approaches are based on mathematical representations of well-founded agro-ecological principles while taking into account available resources and prevailing land-related objectives. The goal of this paper is to contribute to the development of a formalized approach to engineer cropping systems at the land unit level that can be used as building blocks for systematic explorations of land use options at farm or regional scale. The approach for engineering cropping systems at the land unit level consists of three steps: (i) goal-driven design of cropping systems, (ii) quantification of biophysical production targets and (iii) definition of the optimal mix of inputs required to realize production targets. This paper describes the approach and illustrates it with examples from the Sudano-Sahelian zone of Mali. Explicit attention is paid to the required numerical tools and their application to analyze consequences of uncertainty in the performance of engineered cropping systems. Using numerical tools, uncertainty is made explicit with the aim to better manage or reduce it. Identification of uncertainty at the designer's desk allows taking uncertainty into account before applying engineered land use systems in regional model studies or testing such systems in practice. Problems related to the application of numerical tools are discussed, including the future role of agro-ecological engineering as independent discipline within agricultural science.     

河套灌区套种模式下综合作物系数的试验研究

依据FAO56作物需水量指南提供的作物系数计算方法,分别计算了内蒙古河套灌区磴口试验站小麦套种覆膜玉米、小麦套种未覆膜玉米、小麦套种油料向日葵3种套种模式下的综合单、双值作物系数。结果表明,3种套种模式下的作物在全生育期内均可迎来2次综合需水高峰;共生阶段的作物系数,单值方法高于双值方法的计算结果,而单一作物独立生长阶段,双值方法高于单值方法的计算结果;无论单值计算还是双值计算的套种作物田间综合ET,当单一作物处于独立生长期时差别不大,而2种作物共同生育阶段的差别较大;将3种作物在套种模式下的生育阶段划分的更加详细并分别命名,为套种模式下作物蒸散量提供更准确的计算依据。     

基于自适应模拟退火算法的HEV能量管理优化

基于iSight和ADVISOR联合仿真平台,采用自适应模拟退火算法对混合动力汽车的能量管理策略进行优化,主要对模糊控制策略的隶属度函数进行了优化,从而克服了基于专家经验进行参数选择的弊端.在ADVISOR中对UDDS工况进行了仿真对比.优化结果表明,所设计的模糊控制器和自适应模拟退火算法合理有效,车辆的燃油经济性和排...     

基于环境互作的加性-显性-加加上位性模型的多环境指数选择(英文)

适应性和稳定性是优良品种所必须具备的基本条件。在多个环境下对多个性状进行选择一直是一个悬而未决的难题。基于加性-显性-加加互作以及它们和环境互作的遗传模型,本文提出了两类选择指数:普通选择指数和考虑基因型与环境互作的选择指数(环境互作选择指数)。其中普通选择指数可用于具有广泛适应性品种的选择,环境互作选择指数则可用于具有特定环境适应性的基因型的选择。对于自花授粉作物,本文提出了两类育种值,即普通育种值和基因型与环境互作育种值。其中,普通育种值包括上位性效应和加加上位性效应,基因型与环境互作育种值包括加性、加加上位性与环境的互作效应。应用混合线性模型估算选择指数构建中涉及的方差-协方差分量。以一组陆地棉双列杂交设计试验作为实例,演示了所提出的选择指数的构建过程。本文提出的指数选择方法可望为多环境下多个性状同步选择提供一条有效的途径。     

引入因素分析法的神经网络在洪水

因素分析法是一种多元统计法，可以通过线性变换，将原有数据转换成彼此不相关且维数较少的数据，本文将因素分析法引入洪水预报神经网络的输入单元精简过程，详细介绍了建模和神经网络训练过程中包括STA训练控制在内的一些关键技术问题，并通过实例评价了此应用方法的效果，通过分析，表明此方法可以在不损失或较小损失的前提下方便有效的对洪水预报神经网络结构进行精简，大大缩减了神经网络的规模，提高了效率，具有很高的实用价值。     

大型排灌工程项目后评价理论及方法

大型排灌工程项目后评价是大型排灌工程项目科学管理的重要环节。根据大型排灌工程的具体特点 ,讨论项目后评价的理论基础和评价方法 ,分析了大型排灌工程项目后评价的特点、内容、基本原则和程序 ,提出了后评价的指标体系及各种指标的计算方法。