共查询到18条相似文献,搜索用时 156 毫秒
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作物生产动态模拟模型研究与应用 总被引:10,自引:0,他引:10
概要介绍了动态模拟技术在作物生产中的研究和应用简况、动态模拟的基本原理、模型的组建与验证,对有待进一步研究的问题进行了讨论,对其前景作了展望 相似文献
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作物生产系统模拟模型研究进展 总被引:4,自引:0,他引:4
阐述了作物生长模拟模型的国内外研究进展及各种模型特点,并讨论了作物生长模拟模型的应用。它的未来发展主要在:(1)更加深入、详细地模拟作物生产的各种过程;(2)与地理信息系统和计算机专家系统相结合,形成完善的作物生产计算机决策管理系统。 相似文献
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作物生长模拟研究进展 总被引:3,自引:0,他引:3
作物生长模拟是一个新兴的研究领域,有助于理解预测和调控作物生长发育及其对环境的反应。本文着重介绍了作物生长模拟模型的定义、特征、国内外的研究动态以及目前常用的生长模型。 相似文献
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作物模型在我国玉米生产中的研究与应用 总被引:1,自引:0,他引:1
作物模型在我国发展与应用日趋完善,已成为农业科研领域重要的研究工具,在区域化模拟、农业预测与风险分析、宏观农业决策制定、未来气候情景模拟、优化栽培措施及气象灾害影响评估研究中发挥重要作用,极大地推动了我国农业生产发展和科研水平的提高。对当前国内作物模型研究中具有代表性的6个生长模型概况和在玉米上应用进展进行综述,为研究者根据研究目的及具体条件选择适宜的作物模型进行应用提供参考,进一步提高作物模型在我国玉米科研与生产中的应用水平。对现有主要模型存在问题及今后需开展的工作进行阐述。 相似文献
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水稻栽培理论与技术兼及作物栽培科学的发展述评(上) 总被引:9,自引:0,他引:9
我国作物栽培源远流长,技术经验丰富多彩,但作为一门独立完整的学科,还是本世纪50年代以后的事。它产生的背景,是在农民长期丰富实践的基础上,通过广大栽培学家不断总结和开展科学研究,逐步渗入植物形态、生态、作物生理、生化等现代科学理论,和土壤、肥料与作物营养的科技成果,应用生物统计和电脑模拟等研究方法和手段,从而建立发展起来的、具有自身科学理论及技术体系的现代应用科学。它的主要任务是揭示作物高产规律,研究高产、优质、省工、节本栽培技术,为不断提高作物产量、促进国民经济持续稳定增长服务。近50年来,作物栽… 相似文献
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光能在作物进行光合作用和籽粒产量形成中起着重要作用。随着我国种植结构和区划的调整,间套作种植模式在一些适宜地区得到广泛应用,增加了农田生产力。然而,间套作种植方式下,由于受高位作物荫蔽影响,低位作物在某一生长阶段常常处于弱光胁迫环境中。弱光胁迫不仅会引起作物生长发育不良,而且会制约作物产量潜力的提升。本文以间套作荫蔽环境下的大豆源库关系为例,综述了弱光胁迫调节作物源库器官生长发育的国内外研究现状;阐述了源库协调与作物产量之间的关系以及现有间套作作物产量研究概况与存在的不足;探讨了未来间套作种植下作物在源库关系与产量研究的发展方向。 相似文献
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基于模型和3S技术的数字麦作系统的设计与实现 总被引:3,自引:0,他引:3
为了充分发挥和利用3S技术、生长模型和管理知识模型的优势,探索适合中国国情的精准农业关键技术集成方法及应用模式,以软件开发方法论为指导,充分结合小麦生长模型、管理知识模型和3S技术,应用ASP.NET和C#开发Web应用程序,建立了基于模型和3S技术的网络化数字麦作系统.该系统以品种、气候、土壤及生产条件等为基本输入,具有麦作区划、栽培方案设计、模拟预测、策略分析、动态调控、生长监测、精确麦作、生产力评价、病虫草害管理、智能学习、系统管理和系统帮助等功能.以江苏省部分县市的气象、土壤、品种和生产资料为基础,对本系统进行了初步测试与应用,表明该系统可为农业生产者、管理人员和科技人员提供麦作数字化和科学化的决策支持. 相似文献
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Nele Verhulst Bram Govaerts Victoria Nelissen Ken D. Sayre Jose Crossa Dirk Raes Jozef Deckers 《Field Crops Research》2011
Crop growth and development as well as yield are the result of the efficiency of the chosen agricultural management system within the boundaries of the agro-ecological environment. End-of-season yield results do not permit the evaluation of within-season management interactions with the production environment and do not allow for full understanding of the management practice applied. Crop growth and development were measured during the 2004, 2006 and 2008 crop cycles with an optical handheld NDVI sensor for all plots of the different management treatments of a long-term (since 1991) sustainability trial in the highlands of Mexico. Cropping systems varying in (1) tillage (conventional vs. zero tillage); (2) residue management (retention vs. removal); (3) rotation (monocropping vs. a maize [Zea mays L.]/wheat [Triticum aestivum L.] rotation) were compared. The NDVI-handheld sensor was evaluated as a tool to monitor crop growth and development and was found to be an excellent tool for this purpose. There was a strong relation between NDVI and biomass accumulation of maize and wheat. The measurement with the handheld sensor was non-destructive and fast so that a representative plot area could be measured easily and time-efficiently. Zero tillage induced different crop growth dynamics over time compared to conventional tillage. Zero tillage with residue retention is characterized by a slower initial crop growth, compensated for by an increased growth in the later stages, positively influencing final grain yield. Also crop rotation influenced early crop growth, with lower NDVI values for crops sown after wheat than crops after maize. Zero tillage with residue removal had low NDVI values throughout the growing season. Zero tillage with retention of crop residues results in time efficient use of resources, as opposed to conventional tillage, regardless of residue management, and zero tillage with residue removal. The results indicated that different tillage, rotation and residue management practices influence crop growth and development. It is important to monitor and understand crop growth under different management systems to select the right varieties and adjust timing and practice of input supply (fertilizer, irrigation etc.) in a holistic way in each cropping system. 相似文献
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《Journal of Crop Improvement》2013,27(1-2):455-499
SUMMARY Crop production in the northeastern North America poses unique challenges in that soils tend to be cool and wet in the spring, and there is only a brief period each summer when sufficient heat is obtained for the growth of the main crops produced in the area. This paper reviews seven areas of crop production and ecophysiology research in the context of the geo-climatic conditions of the extreme North American humid northeast. The seven areas are: (1) intercropping systems, (2) leafy reduced-stature corn, (3) intensive cereal management, (4) production of C4 grasses, (5) development of a chronic injection system for physiology research, (6) legume-to-rhizobia signals and inhibition of soybean nodulation, and (7) rhizobia-to-legume signals and crop growth. Progress has been made in each area and there is now a longer-term need to integrate some of these findings at the cropping system level. 相似文献
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Deficit irrigation management for rice using crop growth simulation model in an optimization framework 总被引:3,自引:2,他引:1
Optimization of irrigation water is an important issue in agricultural production for maximizing the return from the limited
water availability. The current study proposes a simulation–optimization framework for developing optimal irrigation schedules
for rice crop (Oryza sativa) under water deficit conditions. The framework utilizes a rice crop growth simulation model to identify the critical periods
of growth that are highly sensitive to the reduction in final crop yield, and a genetic algorithm based optimizer develops
the optimal water allocations during the crop growing period. The model ORYZA2000, which is employed as the crop growth simulation
model, is calibrated and validated using field experimental data prior to incorporating in the proposed framework. The proposed
framework was applied to a real world case study of a command area in southern India, and it was found that significant improvement
in total yield can be achieved by the model compared to other water saving irrigation methods. The results of the study were
highly encouraging and suggest that by employing a calibrated crop growth model combined with an optimization algorithm can
lead to achieve maximum water use efficiency. 相似文献