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The efficiency of weed control practices could be improved if their timing is linked to weed emergence dynamics. A study was conducted in a pre‐alpine valley in northern Italy to evaluate whether the phenological phases of some perennial plants could serve as reliable indicators of time of weed emergence and thus be an alternative to bioclimatic models for supporting management decisions. Weed emergence was observed from 2003 to 2004 in five sites at different altitudes. The emergence dynamics of the main weeds were modelled with a Gompertz model. The phenology of 10 common shrubs and a tree was monitored by visual assessment. The flowering and fruit‐ripening phases of the most useful shrubs were modelled with a lognormal model. Correlation analysis between the two functions was used to study the correspondence between plant phenology and weed emergence. Flowering and fruit‐ripening phases of the shrubs were well described by the lognormal model. The correlation analysis between the lognormal model and Gompertz model showed correspondences between the phenological phases and emergence dynamics of the main weeds. The proposed method can be used to examine shrub phenology–weed emergence correlations and consequently for supporting weed management, under certain conditions.  相似文献   
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Electroencephalographic (EEG) power spectrum analysis was performed in 18 conscious, adult horses for evaluation as control values for EEG data obtained during anesthesia. Computer-processed total amplitudes for the frequency range 0 to 32 Hz were mainly between 400 and 600 microV, with 80% spectral edge frequency between 16.6 and 32.5 Hz. The highest electrical activity was in the delta band (41.3 +/- 4.4% of total amplitude); there was a less pronounced activity in the beta (34.2 +/- 5.2%), theta (13.6 +/- 1.5%), and alpha (10.0 +/- 1.0%) bands. The applicability of EEG power spectrum analysis as a guide to depth of anesthesia was evaluated in four horses by comparing simultaneously recorded EEG data and clinical signs of anesthesia. Global changes in cerebrocortical electrical activity were detected with a single, monopolar (left frontoatlanto-occipital) EEG lead. Increasing depth of halothane anesthesia was accompanied by a pronounced shift in EEG activity from beta to theta and delta frequency bands, a decrease in 80% spectral edge frequency from 21.5 +/- 2.4 Hz to 12.6 +/- 2.2 Hz, a reduction in the beta/delta ratio of fractional amplitudes from 2.37 +/- 0.84 to 0.49 +/- 0.04, and a slight inconsistent increase in total amplitude from 96.1 +/- 37.3 microV to 185.5 +/- 53 microV. These results show that changes in the clinical signs of anesthetic depth in horses can be described numerically by use of EEG power spectrum analysis.  相似文献   
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The effects of noxious surgical stimulation on the electroencephalogram (EEG) in 15 horses anesthetized with isoflurane were evaluated during orthopedic (group 1) and soft tissue (group 2) procedures. The quantitative EEG variables theta/delta ratio (T/D), alpha/delta ratio (A/D), beta/delta ratio (B/D), median power frequency (MED), and 80% spectral edge frequency (SEF 80) recorded during surgeries at 1.7% end-tidal concentration of isoflurane (ETiso) were compared with values from five nonstimulated control horses anesthetized at 1.7% ETiso. The EEG variables T/D, A/D, MED, and SEF 80 from surgically stimulated horses were significantly higher compared with controls. These differences in measured EEG variables were accompanied by a significantly lower relative power in the delta frequency band and a concomitant significantly higher alpha activity. Because the A/D ratio, MED, and SEF 80 in surgically stimulated horses were significantly higher than in nonstimulated control horses these measured EEG variables may provide a valuable tool for identification of nociceptive transmission in isoflurane anesthetized horses.  相似文献   
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