加快洞庭湖区农机化发展 促进社会主义新农村建设

建设社会主义新农村是我党今后很长一段时期的重大历史任务。新农村建设使洞庭湖区农机化获得了发展良机,而农机化在新农村建设中的地位和作用显著,本文从湖南洞庭湖区新农村建设的要求出发,提出了大力推广水稻生产全程机械化技术,以促进洞庭湖区农村生产发展、农民生活宽裕;坚持依法行政,保障农机安全生产,以促进农村社会和谐,乡风文明;抓好农机部门自身建设,以适应社会主义新农村建设的需求等几项措施。     

棉秆粉碎收获机的设计

利用旋转甩刀的切割及冲击作用对棉秆进行粉碎，并利用甩刀高速旋转产生的惯性和气流对粉碎的棉秆进行抛送。在田间试验的基础上，通过理论探讨，对棉秆粉碎收获机的基本原理、主要部件及技术参数，尤其是甩刀转速进行分析、设计，设计了与中型拖拉机配套的棉秆粉碎收获机。     

农用运输车行驶平顺性的模拟计算与分析

提出了四轮农用运输车的八自由度随机振动系统模型，对整车行驶平顺性进行了计算机模拟计算和分析计算结果得到了试验验证。     

农业物料力学试验测控系统设计

介绍了基于计算机的农业物料力学试验测控系统的组成和测控软件。应用结果表明，该系统工作可靠，虚拟仪器面板操作简便，实现了农业物为力学试验数据采集及试验过程自动化。     

基于粗糙集与神经网络的农机化发展水平评估方法

在分析现有农业机械化发展水平评价方法的基础上 ,提出了粗糙集理论与人工神经网络技术相结合的农业机械化发展水平评价指标简化体系和评价方法。实例表明 ,约简后的指标体系可以获得原有指标体系的分类结果 ,但比原有模型少了 6 0 %的指标 ,大大减少了信息的需求量 ,为农机化水平评价提供了一种新的途径。     

光电控制穴盘精密播种装置的研究

根据水稻工厂化育秧农艺的要求，设计了穴盘精密播种装置，该装置以PIC16C57为核心，采用光电一体化技术来控制电磁振动排种器，使其每次只排出一粒种子，提高了播种精度，降低了漏播率。试验表明，该播种装置的单粒率达98%以上，重播率小于2%，漏播率为零。     

步进式水稻钵苗摆植机送秧机构的研究

研究了步进式水稻钵苗摆植机总体设计方案，分析了送秧机构的工作原理，对送秧机构的齿距、齿高、转速、曲柄、摇杆等结构参数进行了确定。理论分析和台架实验表明，步进式水稻钵苗摆植机送秧机构结构简单，工作可靠，排序效果好。     

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。     

Past, present and future criteria to breed crops for water-limited environments in West Africa

Asia's Green Revolution of the 1960s and 1970s has largely bypassed West Africa, and “modern” (high-yielding, input responsive) germplasm for staple crops has found comparatively little adoption, except for systems that are have good access to markets and sufficient water resources. It is unlikely, however, that breeding objectives conserving traditional crop characteristics as found in extensive systems would have been more successful. The authors identify systems caught in the agricultural transition from subsistence to intensified, market-oriented production as the most important target for crop improvement, and provide examples of new breeding objectives for cowpea, sorghum and upland rice. In each of these cases, breeders, with the help of physiologists, have developed innovative plant-type concepts that combine improved yield potential and input responsiveness with specific traditional crop characteristics that remain essential during the agricultural transition. In the case of cowpea, dual-purpose varieties were developed that produce a good grain yield due to an erect plant habit, then produce new leaves enabling a second harvest of green foliage. For upland rice systems that are limited by labour (mainly needed to control weeds that abound due to shortened fallow periods), a weed competitive plant type was developed from Oryza sativa × Oryza glaberrima crosses. Lastly, sorghum breeders who had previously deselected photoperiod sensitivity are now re-inserting sensitivity into plants having “modern” architecture, in order to allow for flexible sowing dates while maintaining an agro-ecologically optimal time of flowering near the end of the wet season. The ecophysiological basis of these plant types, their place in current and future cropping systems, as well as the problem of under-funding for their realisation, are discussed.     

Evaluation of the RZWQM-CERES-Maize hybrid model for maize production

The root zone water quality model (RZWQM) was developed primarily for water quality research with a generic plant growth module primarily serving as a sink for plant nitrogen and water uptake. In this study, we coupled the CERES-Maize Version 3.5 crop growth model with RZWQM to provide RZWQM users with the option for selecting a more comprehensive plant growth model. In the hybrid model, RZWQM supplied CERES with daily soil water and nitrogen contents, soil temperature, and potential evapotranspiration, in addition to daily weather data. CERES-Maize supplied RZWQM with daily water and nitrogen uptake, and other plant growth variables (e.g., root distribution and leaf area index). The RZWQM-CERES hybrid model was evaluated with two well-documented experimental datasets distributed with DSSAT (Decision Support System for Agrotechnology Transfer) Version 3.5, which had various nitrogen and irrigation treatments. Simulation results were compared to the original DSSAT-CERES-Maize model. Both models used the same plant cultivar coefficients and the same soil parameters as distributed with DSSAT Version 3.5. The hybrid model provided similar maize prediction in terms of yield, biomass and leaf area index, as the DSSAT-CERES model when the same soil and crop parameters were used. No overall differences were found between the two models based on the paired t test, suggesting successful coupling of the two models. The hybrid model offers RZWQM users access to a rigorous new plant growth model and provides CERES-Maize users with a tool to address soil and water quality issues under different cropping systems.