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排序方式: 共有407条查询结果,搜索用时 31 毫秒
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应用1.2%苦.烟乳油与0号柴油混合进行喷烟防治青海云杉梢斑螟幼虫,结果表明1.2%苦.烟乳油与0号柴油的配比在1:9以上,用药量13.3ml hm-2以上进行喷烟防治,梢斑螟的虫口减退率可达85%以上,最高可达90%。 相似文献
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Increasing pressures from agriculture and urbanization have resulted in drainage of many floodplains along the eastern Australian coastline, which are underlain by sulphidic sediments, to lower water tables and reduce soil salinity. This leads to oxidation of the sediments with a rapid decline in pH and an increase in salinity. Accurately mapping soil salinity and pH in coastal acid sulphate soil (CASS) landscapes is therefore important. One required map is the extent of highly acidic (i.e. pH < 4.5) areas, so that the application of alkaline amendments (e.g. lime) to neutralize the acid produced can be specifically targeted to the variation in pH. One approach is to use digital soil mapping (DSM) using ancillary information, such as an EM38, digital elevation models (DEM – elevation) and trend surface parameters (east and north). We used an EM38 in the horizontal (EM38h) and vertical (EM38v) modes together with elevation data to develop multiple linear regressions (MLR) for predicting EC1:5 and pH. For pH, best results were achieved when the EM38 ECa data were log‐transformed. By comparing MLR models using REML analysis, we found that using all ancillary data was optimal for mapping EC1:5, whereas the best predictors for pH were north, log‐EM38v and elevation. Using residual maximum likelihood (REML), the final EC1:5 and pH maps produced were consistent with previously defined soil landscape units, particularly CASS. The DSM approach used is amenable for mapping saline soils and identifying areas requiring the application of lime to manage acidic soil conditions in CASS landscape. 相似文献
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农业企业的信息化建设过程 总被引:1,自引:0,他引:1
我国农业从传统生产模式向现代市场经济竞争环境下的企业化模式进行转换,依靠的是科学管理和管理科学;建设电子化、信息化的管理系统,是农业企业在市场环境下得以生存的有力支撑.为此,论述了农业企业的信息化建设过程. 相似文献
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选取2015—2019年青岛市崂山区10个气象自动站的日气温数据和EC细网格模式2 m气温预报产品,验证EC细网格模式2 m气温预报产品最低温度和最高温度在青岛崂山地区的准确率,同时分析崂山地区温度的时间、空间分布特征,对预报产品进行订正,在实际业务中进行推广,提高预报的准确率,做好公众气象服务。结果表明,气温存在年变化差异和季节内差异,同一种温度下,春季和夏季的区域分布比较类似,秋季和冬季的区域分布比较类似;崂山区内EC细网格24 h最低温度预报值偏高,最高温度预报值偏低,最低温度的预报总体准确率比最高温度的预报总体准确率要高,西部地区的预报准确率要高于东部地区的准确率;通过订正后,发现最低温度4个季节的预报准确率都在50%以上,最高温度订正后的准确率,除夏季59%以外,其他各季节均在75%以上。 相似文献
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Simulation of transpiration, drainage, N uptake, nitrate leaching, and N uptake concentration in tomato grown in open substrate 总被引:3,自引:0,他引:3
M. Gallardo J.S. Rodríguez M.D. Fernández J.J. Magán 《Agricultural Water Management》2009,96(12):1773-1784
Free-drainage or “open” substrate system used for vegetable production in greenhouses is associated with appreciable NO3− leaching losses and drainage volumes. Simulation models of crop N uptake, N leaching, water use and drainage of crops in these systems will be useful for crop and water resource management, and environmental assessment. This work (i) modified the TOMGRO model to simulate N uptake for tomato grown in greenhouses in SE Spain, (ii) modified the PrHo model to simulate transpiration of tomato grown in substrate and (iii) developed an aggregated model combining TOMGRO and PrHo to calculate N uptake concentrations and drainage NO3− concentration. The component models simulate NO3−-N leached by subtracting simulated N uptake from measured applied N, and drainage by subtracting simulated transpiration from measured irrigation. Three tomato crops grown sequentially in free-draining rock wool in a plastic greenhouse were used for calibration and validation. Measured daily transpiration was determined by the water balance method from daily measurements of irrigation and drainage. Measured N uptake was determined by N balance, using data of volumes and of concentrations of NO3− and NH4+ in applied nutrient solution and drainage. Accuracy of the two modified component models and aggregated model was assessed by comparing simulated to measured values using linear regression analysis, comparison of slope and intercept values of regression equations, and root mean squared error (RMSE) values. For the three crops, the modified TOMGRO provided accurate simulations of cumulative crop N uptake, (RMSE = 6.4, 1.9 and 2.6% of total N uptake) and NO3−-N leached (RMSE = 11.0, 10.3, and 6.1% of total NO3−-N leached). The modified PrHo provided accurate simulation of cumulative transpiration (RMSE = 4.3, 1.7 and 2.4% of total transpiration) and cumulative drainage (RMSE = 13.8, 6.9, 7.4% of total drainage). For the four cumulative parameters, slopes and intercepts of the linear regressions were mostly not statistically significant (P < 0.05) from one and zero, respectively, and coefficient of determination (r2) values were 0.96-0.98. Simulated values of total drainage volumes for the three crops were +21, +1 and −13% of measured total drainage volumes. The aggregated TOMGRO-PrHo model generally provided accurate simulation of crop N uptake concentration after 30-40 days of transplanting, with an average RMSE of approximately 2 mmol L−1. Simulated values of average NO3− concentration in drainage, obtained with the aggregated model, were −7, +18 and +31% of measured values. 相似文献
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