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Nitric oxide (NO), a multifunctional gaseous molecule, mediates a variety of responses to biotic and abiotic stresses. The effects of exogenous NO on rice (Oryza sativa cv. ‘Zhonghua 11’) growth under mercuric chloride (HgCl2) stress were investigated. The results showed that 60 lM Hg significantly inhibited the root elongation of rice plantlets after seed germination. While 100 lM or 200 lM sodium nitroprusside (SNP, a donor of NO) could increase the root length by attenuating the effects of 2,3,5-triiodobenzoic acid (TIBA) and Hg, which indicated the role of NO in auxin transport-promoting in roots. On the other hand, SNP decreased the absorption and transportation of Hg in roots and shoots of rice seedlings at five-leaf stage. Moreover, the levels of superoxide radical (O2-) and hydrogen peroxide (H2O2) in leaves were also decreased significantly. However, the activities of antioxidant enzymes were not enhanced by SNP. Moreover, NO promoted the growth of rice plantlets under Hg stress even when superoxide dismutase (SOD, EC 1.15.1.1) or catalase (CAT, 1.11.1.6) activity was inhibited by diethyldithiocarbamate (DDC, an inhibitor of SOD) or 3-amino-1,2,4- triazole (AT, an inhibitor of catalase), respectively. These results confirmed that NO could act as the direct quencher of O2- and then prevent the oxidative damage caused by Hg ion in leaves.
Under accelerated urbanization and high-intensity human activities, the natural wetlands distribution area (NWDA) in Minjiang River estuary faces the great challenge of a deteriorative urban thermal environment. This work aims to analyze the impact of land use/land cover (LULC) on the urban thermal environment and model wetland surface temperature disturbance characteristics during the process of urbanization. The study utilized the following methodological steps: (1) mapping of LULC spatial and temporal distribution through photo interpretation; (2) applying the mono-window algorithm to obtain the spatiotemporal patterns of land surface temperature (LST); (3) examining the correlation between LST and different LULC classes, normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI), and normalized difference impervious surface index (NDISI); and (4) exploring wetland surface temperature characteristics based on profile analysis and regression models. The results showed that the LST pattern depended on the LULC distribution; the high LST zones were mainly observed in the center of Fuzhou city, and the low LST zones were mainly observed in forest and river areas. Moreover, the urban thermal environment was influenced by both LULC classes and urban growth types. Finally, the positive relationship between LST and NDISI indicated an amplifying effect of the impervious surface for wetland surface temperature, while vegetation with high liquid water attenuated the regional high temperature. The obtained conclusions are expected to be beneficial in improving the design and management of the urban thermal environment.
Radars and sensors are essential devices for an Unmanned Surface Vehicle (USV) to detect obstacles. Their precision has improved significantly in recent years with relatively accurate capability to locate obstacles. However, small detection errors in the estimation and prediction of trajectories of obstacles may cause serious problems in accuracy, thereby damaging the judgment of USV and affecting the effectiveness of collision avoidance. In this study, the effect of radar errors on the prediction accuracy of obstacle position is studied on the basis of the autoregressive prediction model. The cause of radar error is also analyzed. Subsequently, a bidirectional adaptive filtering algorithm based on polynomial fitting and particle swarm optimization is proposed to eliminate the observed errors in vertical and abscissa coordinates. Then, simulations of obstacle tracking and prediction are carried out, and the results show the validity of the algorithm. Finally, the method is used to simulate the collision avoidance of USV, and the results show the validity and reliability of the algorithm
Drought is one of the main limiting factors for peanut yield worldwide. However, the underlying genetic and molecular mechanisms remain unclear. In this study, we identified several water deficiency tolerant peanut germplasms based on physiological properties in the seedling stage. One of the germplasms was further characterized by transcriptome sequencing of samples that had been untreated or treated with PEG 6000 at three different times. A total of 370,145 non-redundant transcripts and 141,289 unigenes were obtained, and differentially expressed transcripts were identified among samples. Based on functional annotation, transcripts involved in drought response pathways were selected for qPCR analysis. Similar patterns but different levels of gene expression were found between drought-tolerant and drought-sensitive germplasms. These findings provide useful insights into drought tolerance of peanut.
APETALA1 plays a crucial role in floral transition from vegetative to reproductive phase and in flower development. In this study, a comprehensive analysis of AP1 homologues in poplar was performed by describing the gene structure and chromosomal location. The phylogenetic relationship of the deduced amino acid sequences of Arabidopsis AP1 and AP1 homologues from Populus, to other AP1-like proteins was analyzed. The expression of PtAP1-1 and PtAP1-2 in Populus tomentosa was examined by RT-qPCR. Expression profiles were similar and both genes exhibited a high expression level in the reproductive phase. Seasonal expression profiles in floral buds indicated that the pattern of PtAP1-1 and PtAP1-2 expression in male and female floral buds was different. The trends of the PtAP1-1 and PtAP1-2 transcript levels in both sex floral buds were similar, but the peak of expression of the two genes in male buds was earlier than in female buds. This work would be of value to future functional analysis of AP1 homologues in poplar.
We aimed to evaluate the capability of bio-organic fertilizer suppressing watermelon Fusarium wilt disease, compare the variations of the rhizosphere bacterial and fungal community compositions after treatment with different fertilizers, and explore mechanisms causing disease suppression in rhizosphere microbial community. A rhizobacterium (Bacillus amyloliquefaciens JDF35) was identified to control watermelon Fusarium wilt disease. Bio-organic fertilizer JDF35 (BOF) was generated by inoculating JDF35 into the organic fertilizer (OF) composed of cow and chicken manure compost (1:50 v/w). A three successive growing season pot experiment was designed to evaluate the effects of BOF compared with OF and chemical fertilizer (CF). Next-generation sequencing using the Illumina MiSeq platform was used to investigate the variations in rhizosphere microbial community composition. The growth of the watermelon plants, soil pH, and available N, P and K concentrations were the highest in the BOF treatment. The Fusarium wilt incidence in the BOF treatment was lower than that in the CF and OF treatment, and the differences for disease incidence were significant (P < 0.001). The diversity of the rhizosphere bacterial community was higher, and that of the fungal was lower in the BOF treatment. Most importantly, the BOF treatment had lowest abundances of Fusarium. The application of the BOF altered the composition of rhizosphere microbial community, suppressing Fusarium wilt disease and promoting plant growth.
The single and joint effects of cadmium(Cd) and benzo (a) pyrene (B[a]P) on the seedling growth and antioxidant enzyme activities of wheat (Triticum aestivum L.) were investigated after 4, 8, and 11 days of exposure under10 mg·L⁻¹ Cd and 54 mg·L⁻¹ B[a]P combined stress. In comparison with the control, the reductions under Cd + B[a]P stress treatment of Chl a, Chl b, Chl a+b and Chl a/b ratio were 53%, 44%, 49%, and 16% after 11-d exposure, the reductions under combination stress of Pn, Gs, Tr, and Ci were 61%, 72%, 67%, and 9%, the reductions of Fv/Fm, ΦPSII and qP under combination stress treatment were 24%, 23%, and 7% after 11 days, while the increases of WUE and qN under Cd + B[a]P were 19% and 81% after 11-d exposure. The nonstomatal limitation is the major reason for the decrease of Pn under the cadmium and B[a]P treatment in wheat leaves. The higher Tr value in wheat leaves is probably a positive adaptation response to the cadmium and B[a]P. This adaption response may play a protective role in the photosystem, resulting in a higher Pn. B[a]P may enhance the toxicity of the cadmium because they can penetrate into the perforated cells more easily. The toxicity of combined stress to photosynthesis and chlorophyll fluorescence parameters is stronger than the toxicity of single cadmium or single B[a]P, while cadmium had stronger toxic effects than B[a]P. The joint action of cadmium and B[a]P was a significant synergistic effect.
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