从土壤中分离棉枯萎病菌(Fusarium oxysporum f.sp.vasinfetum (Atk) Synder & Hansen)选择性培养基研究

本文介绍一种用于分离检测土壤中棉枯萎病菌的选择性培养基—植选2号。其成分为:KH_2PO_41g,MgSO_4·7H_2O 0.5g,K_2S_2O_50.2g,KCl0.6g,NH_4NO_3 0.5g,蛋白胨5g,山梨糖10g,蔗糖5g,琼脂20g,蒸馏水1000ml,PCNB 620mg,Oxgall1g,硫酸链霉素300mg,盐酸金霉素75mg。根据棉枯萎病在此培养基上的形态特征,能较容易地识别和检测该病菌。     

当前中国农民增收困难的分析与探讨

当前中国农民增收困难的根源除了农业生产的自身特点和中国人均耕地资源不足外，最主要的是长期以来政策上的重工轻农。因此，加强对农业的政策扶持，推进农村城镇化进程，全面减轻农民的税费负担，是解决农民增收的关键。     

A Globally Convergent Algorithm for Nonlinear Programming

A new globally convergent algorithm was presented for a continuous differen-tiable nonlinear programming by defining a measure function deviating from the Kuhn-Tucker point. With this algorithm which can be used to get the optimum solution of the problem,the optimal lagrangian multiplier corresponding the optimal solution of the problem was also obtained. A new iterative algorithm for quadratic programming is obtained when applying the general algorithm to quadratic programming. Finally,a numerical example was given.     

Sampling Investigation on Inhatitant Domestic Tap Water Consumption Situation and It’s Characteristics Analysis

Economics.Through sampling investigation and analysis on inhabitant domestic tap water consumption situation,it is given that economic factors are the main factors influence inhatitant's water consumption.The functional relations among inhabitant's income and water consumption,water price and consumption are given. The tap water's income elasticity of demand and price elasticity of demand is analyzed, along with the fluctuating range month by month of inhabitant's water consumption.Finally ,this paper offers the reference data for planning the ability of water supply and making policies of ladder water prices.     

坚持和落实科学发展观 努力破解农民增收难题

以科学发展观为指导，针对安徽省农民增收和农业发展中存在的资源约束等问题进行分析，提出了抓住时机，依靠政策调动、布局优化、市场带动、科技拉动，提高农民增收的稳定性和持续性,大幅度提高农民增收的对策和发展思路。     

生物质气体燃料概述与展望

论述了生物质气体燃料的种类以及生产各种气体燃料的相应技术及其国内外发展概况和存在问题.生物质气化方面国内外有产业化实例;生物发酵制氢大多数处于实验阶段,关键是培育高效产氢发酵菌种、进一步提高系统的产氢能力、降低生产成本;厌氧发酵制取沼气生产技术比较成熟,在其生产过程中不消耗其它能源、没有环境污染、而且可降解各种有机废弃物,是目前最有希望的生物质能源之一.     

增加投入实现引黄灌溉良性发展

引黄灌溉经济效益显著,但是灌区管理单位的财务收益却入不敷出。根据经济效益分析与水费收交情况,作者认为应加强水费回收,多方面集资以及深化水费改革等,以利于灌溉事业的良性发展。     

基于森林资源节约的出版规范改进研究

针对当前我国森林资源和文字规范工作的实际情况,在统计分析了森林资源流向、书刊发行现状的基础上,从节约资源的角度出发,应用工业工程的理论思想和方法对文字的规范标准及纸张节约等相关问题进行分析研究,提出了具有较强操作性和实际意义的改进方法。     

我国收入分配不合理现状的成因分析与对策思考

在今年“两会”上通过的“十一五”规划纲要中明确提出:“加快推进收入分配制度改革”和“更加注重社会公平”。表述中增加了“加快”和“更加”加以强调,于是,改革收入分配制度的紧迫性和重要性凸显出来。本论文就目前我国收入分配的基本现状以及产生收入分配不合理的成因展开论述,并就如何改善我国收入分配不合理的现状提出相应对策。     

Prediction of pine mistletoe infection using remote sensing imaging: A comparison of the artificial neural network model and logistic regression model

In this study, the prediction of pine mistletoe distribution in Scots pine ecosystems was explored using remote sensing variables to compare the multilayer perceptron (MLP) artificial neural network (ANN) and logistic regression (LR) model performances. For this purpose, 109 sample plots were distinguished in pure Scots pine forests (natural) in the Eastern Black Sea Region of Turkey. Distinguishing mistletoe-infected stands (69) and uninfected stands (40) was performed with field observations. The variables acquired from Landsat 8 (Level 1) images were used as independent variables for independent-sample t-test, MLP ANN and LR models. Remote sensing variables indicated that mistletoe-infected stands were in drier areas with a lower vegetation-leaf area index. Based on the performance results of both models, the sensitivity (SEN), specificity (SPE), positive predictive value (PPV), negative predictive value (NPV) and accuracy of the MLP ANN model were superior to those of the LR model. The prediction percentages (SEN, SPE, PPV and NPV) of mistletoe-infected stands were better than the prediction percentages of uninfected stands. The prediction accuracies of LR and MLP ANN models were 74.3% and 89.6%, respectively. However, all remote sensing variables were included in the prediction equation of the MLP ANN model, while the thermal infrared 1 (TIRS1) variable was included in the LR model. In the MLP ANN model, the TIRS1 variable also had the highest normalized importance (100%). The area under the curve (AUC) value for identifying the mistletoe-infected stands of Scots pine forests used by the MLP ANN model (0.892 ± 0.034) was higher than in the LR model (0.838 ± 0.039), explaining the more accurate predictions obtained from the MLP ANN model. The MLP ANN model showed much better performance than the LR model. The results of this study are expected to make important contributions to the identification of potential mistletoe-infected areas.