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1.
Members of the bacterial genus Azospirillum are root-associated bacteria that increase yield in cereals by promoting growth and alleviating drought stress. How plants integrate the many bacterium-derived growth-promoting stimuli with other environmental factors to generate a coordinated response remains unresolved. Using a commercial Azospirillum strain, A. lipoferum CRT1 and two host maize cultivars, it was observed that bacterization reduced the drought-induced increase in lateral root growth and enhanced the flood-induced increase in lateral root growth in the more drought- and flood-sensitive cultivar. In the other one, A. lipoferum CRT1 only elicited a moderate root growth response under low soil water potential. The photosynthetic potential and activity were increased in the earlier cultivar and decreased in the later one, irrespective of the soil water content. No impact of the bacterium was seen on the growth of the leaves of both cultivars under both stresses until the third leaf stage, therefore suggesting that it is a consequence of multiple primary adaptations to biotic and abiotic stresses. It is suggested that host–bacteria recognition leads to a stress-specific modulation of the root response and a differential stress-independent effect on photosynthesis. This is the first report of the impact of Azospirillum under flood conditions.  相似文献   
2.
根据电力系统短期负荷变化的特性,提出BP模型在实际负荷预测应用中的方法和步骤.对BP网络结构、样本空间、收敛性等作了有针对性的研究.结果表明:多层神经网络应用于电力系统短期负荷预测是可行和有效的.其预报结果比传统的负荷预测方法更准确、经济、效果更好.  相似文献   
3.
刘新卫 《湖北农学院学报》2003,23(4):251-253,257
建立了湖北省分地区水灾损失灾度等级的划分标准。基于模糊模式识别理论,按最大隶属原则和择近原则对灾度等级进行了模糊综合评判。  相似文献   
4.
哈达门国家森林公园游客量动态预测   总被引:3,自引:0,他引:3  
根据哈达门国家森林公园的票房数据,应用灰色系统理论建立旅游量灰色动态模型。基此,对哈园游客量进行了中短期预测,其预测检验精度为93.72。旨在对该园建设、管理等项决策提供科学依据。  相似文献   
5.
洪水保险是一项重要的非工程防洪措施.美国是世界上最早建立国家强制性洪水保险体制的国家,经过艰难曲折的探索,闯出了一条成功之路.我国的洪水保险体制还处于积极探索阶段.中美两国尽管国情差异较大,但以洪水保险作为推进洪泛区洪水风险管理的经济手段,并以立法和国家计划等措施来保障实施的作法是值得借鉴的.本文就美国洪水保险制度的发展与沿革,寻找对我国建立洪水保险制度一些有益的启示,并就此提出了一些建设性意见.  相似文献   
6.
An epidemic is the progress of disease in time and space. Each epidemic has a structure whose temporal dynamics and spatial patterns are jointly determined by the pathosystem characteristics and environmental conditions. One of the important objectives in epidemiology is to understand such spatio-temporal dynamics via mathematical and statistical modelling. In this paper, we outline common methodologies that are used to quantify and model spatio-temporal dynamics of plant diseases, with emphasis on developing temporal forecast models and on quantifying spatial patterns. Several examples of epidemiological models in cereal crops are described, including one for Fusarium head blight.  相似文献   
7.
The impact of extreme events (such as prolonged droughts, heat waves, cold shocks and frost) is poorly represented by most of the existing yield forecasting systems. Two new model-based approaches that account for the impact of extreme weather events on crop production are presented as a way to improve yield forecasts, both based on the Crop Growth Monitoring System (CGMS) of the European Commission. A first approach includes simple relations – consistent with the degree of complexity of the most generic crop simulators – to explicitly model the impact of these events on leaf development and yield formation. A second approach is a hybrid system which adds selected agro-climatic indicators (accounting for drought and cold/heat stress) to the previous one. The new proposed methods, together with the CGMS-standard approach and a system exclusively based on selected agro-climatic indicators, were evaluated in a comparative fashion for their forecasting reliability. The four systems were assessed for the main micro- and macro-thermal cereal crops grown in highly productive European countries. The workflow included the statistical post-processing of model outputs aggregated at national level with historical series (1995–2013) of official yields, followed by a cross-validation for forecasting events triggered at flowering, maturity and at an intermediate stage. With the system based on agro-climatic indicators, satisfactory performances were limited to microthermal crops grown in Mediterranean environments (i.e. crop production systems mainly driven by rainfall distribution). Compared to CGMS-standard system, the newly proposed approaches increased the forecasting reliability in 94% of the combinations crop × country × forecasting moment. In particular, the explicit simulation of the impact of extreme events explained a large part of the inter-annual variability (up to +44% for spring barley in Poland), while the addition of agro-climatic indicators to the workflow mostly added accuracy to an already satisfactory forecasting system.  相似文献   
8.
清代书院课艺总集多为连续出版物,或具有连续出版物的刊行初衷。刊期短则一季,多则一年或数年。经费充足与否,会影响刊期。发表周期多为一年至五年,也有十余年的。用稿率以10%~20%居多,偶见“关系稿”。时文的用稿标准是“清真雅正”。题目多为官师所拟。一般全文刊登,也偶有“论点摘编”。多经润色,并附录评点。有的以袖珍本刊行,有的宣称“翻刻必究”,标出定价,附载广告。稿费已在膏火费中预支,优秀作品可被转载。从本质属性和诸多要素来看,书院课艺总集实开今日“大学学报”、“学术集刊”之先河。  相似文献   
9.
近海水质非线性时间序列通常由于采集范围大、时间间隔长带有一定震荡性和模糊性,这使得对其进行分析与预测有一定的难度。本研究中以某近海水质指标磷酸盐(PO3-4-P)、硝酸盐(NO-3-N)、亚硝酸盐(NO-2-N)、铵盐(TNH+4-N)和硅酸盐(Si O2-3-Si)所形成的5种时间序列为例,采用逼近细分模式导出的细分外推法和多参考加权数据的模糊预测法对近海水质时序预测进行了比较分析,并通过图形与误差计算比较了两种方法的异同。结果表明:采用细分外推法预测序列在整体形状上能更好地逼近初始时序,而模糊预测法在整体逼近精度上占有优势。本研究中提出的预测比较方法可为同类问题的预测与模型选取提供参考依据。  相似文献   
10.
基于拐点集合判别的TBUD方法主要思路是分析拐点集合间的关系,并在高维空间进行划分,从而搭建判别模型,并将分析框架应用在特质波动率等若干指标上,利用实证数据得到结论。应用TBUD判别框架可以发现,特质波动率等指标无法对拐点集合进行清晰划分,因而并不具有预测能力。  相似文献   
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