Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 11

Liczba wyników na stronie
Pierwsza strona wyników Pięć stron wyników wstecz Poprzednia strona wyników Strona / 1 Następna strona wyników Pięć stron wyników wprzód Ostatnia strona wyników

Wyniki wyszukiwania

help Sortuj według:

help Ogranicz wyniki do:
Pierwsza strona wyników Pięć stron wyników wstecz Poprzednia strona wyników Strona / 1 Następna strona wyników Pięć stron wyników wprzód Ostatnia strona wyników
The traditional extensive agricultural production model has engendered grievous pollution, not meeting the Green Development Concept proposed by China. In this context, agricultural eco-innovation is born to alleviate environmental pressure and bring a novel production mode: green agriculture. Based on the ambidexterity theory, agricultural eco-innovation should not only realize the protection of the ecological environment, but also respect economic interests of various stakeholders in the process of agricultural production. In this paper, the marrow of ambidexterity theory in agricultural eco-innovation is expounded and the reason why green agriculture accords with it is proved by convincing representative cases. Considering the crucial crux restricting green agriculture is inefficient technology diffusion lying in both sides of the supply and demand of green technology, evolutionary game models between government and farmers, farmers and agricultural enterprises, are established to attempt to obtain the best stable strategy for better green technology diffusion. The game results indicate that it can be critical for slashing green production costs and enhancing returns on green production of farmers. Meanwhile reducing the supervision cost of government and strengthening the regulation of agricultural enterprises will be beneficial. Accordingly, policy recommendations are proposed to ensure green production in the whole agricultural production process.
Low-carbon development has recently become a growing trend in agricultural modernization. It will provide beneficial guidance for exploring driving factors of agricultural carbon emissions in Hebei Province, a typical agricultural region, and formulate relevant policy on its reduction. Calculating carbon emissions in Hebei from 1995 to 2014 demonstrated that energy and land use accounted for more than 90% of agricultural carbon emissions, and there was an increasing tendency overall with a peak value in 2010 and, to a certain extent lately, a slight decline. This paper employed transformed Kaya identity in light of local actual conditions for selecting eight influencing factors. Meanwhile, the extended STIRPAT model and ridge regression were used to make regression analysis. Results showed that contributing factors were efficiency, agricultural import, urbanization, agricultural mechanization, and population, whose 1% increase caused 0.1852%, 0.1663%, 0.1597%, 0.1573%, and 0.1329% increases in carbon emissions, respectively, while 1% growth in industry structure and agricultural affluence were responsible for 0.1475%, and changing the elastic coefficient of (0.1314-0.2958lnA)% decrease in carbon emissions, respectively, where A represented agricultural output value per capita. Furthermore, there existed an inverted U-shaped EKC between economic progress and carbon emissions. Given the above conclusions, policy recommendations were provided for effectively achieving agricultural carbon emissions reductions.
The coordination of an energy-economic-environment (3E) system has attracted increasing attention recently to achieve sustainable development. Shanxi Province, a typical energy-dominated region in China, has long-term dependency on coal industry generating extensive economic growth, which is detrimental to sustainable progress. Therefore, it is beneficial to explore the intrinsic connection of the 3E system in Shanxi for policy implications. Based on energy consumption, GDP and energy-related CO₂ emissions from 1999 to 2015, a VAR model of the 3E system in Shanxi was established. Impulse response analysis and variance decomposition were employed to analyze the dynamic relationship between energy, economy, and the environment, with these three values being predicted from 2016 to 2023. Results indicate that a positive shock in economic growth negatively impacts energy consumption, and a positive change in energy consumption positively affects economic growth and CO₂ emissions as well. From variance decomposition, the innovation to energy consumption accounts for fluctuation of 82.29% in GDP in the long run, and CO₂ emissions attributed to innovations in energy consumption range 64.53% to 77.68%. VAR model forecasts there will be an increasing tendency of energy consumption, GDP, and CO₂ emissions. Accordingly, Shanxi can achieve sustainable development through vigorously optimizing energy structure and promoting low-carbon technological innovation.
Preclinical studies have suggested that increased adult neurogenesis in the hippocampus might have potential therapeutic effects for Alzheimer’s disease and depression; therefore, it is a target for the treatment of some brain diseases. In this technical communication, we propose a cell‑based fluorescence assay to study the neurogenesis of adult hippocampal progenitor cells that can be used for high‑throughput screening of drugs promoting neurogenesis. Three fluorescent dyes (DAPI, Alexa Fluor 488, and Alexa Fluor 594) and a fluorescence spectrophotometry reader were used, which confirmed that the mutual interference of the three fluorescent dyes is very low. We used this cell‑based fluorescence assay to evaluate the effects of three neurotrophic factors, ciliary neurotrophic factor (CNTF), insulin‑like growth factor 1 (IGF‑1), and IGF‑2 on the promotion of neurogenesis in adult hippocampal neural progenitor cells. The fluorescence intensity ratio of the neuronal marker, class III β‑tubulin, to the housekeeping protein, glyceraldehyde 3‑phosphate dehydrogenase, or nuclear staining dye, DAPI, in CNTF‑treated cells was significantly higher than in control cells. The ratios in IGF‑1‑ and IGF‑2‑treated cells were slightly higher under higher cell density conditions. These results are consistent with those in previous reports; therefore, this report proved the efficacy of this method. Taken together, the results showed that this simple, rapid, and economical cell‑based immunofluorescence assay could be a powerful tool for the rapid screening of drugs that promote adult neurogenesis.
Sucrose non-fermenting1-related protein kinase 2 (SnRK2) plays a key role in abiotic stress signaling in plants. In this study, gene structures, phylogeny, conserved motifs and promoters of NtSnRK2.7 and NtSnRK2.8 in tobacco have been analyzed. Phylogenetic analysis showed that NtSnRK2.7 and NtSnRK2.8 belong to subclass I and subclass III of SnRK2, respectively. They exhibited similar genomic structures, consisting of 9 exons and 8 introns. Subcellular localization showed the presence of NtSnRK2s in the cell membrane, cytoplasm and nucleus. Quantitative real-time PCR was used to analyze the expression patterns of NtSnRK2s in tobacco. NtSnRK2s were constitutively expressed strongly in roots, weakly in stems, and marginally in leaves. Abiotic stress response analyses revealed that NtSnRK2.7 and NtSnRK2.8 were involved in response to various abiotic stresses with different patterns: there was evidence that NtSnRK2.7 participated in abscisic acid-independent signaling pathways, while the transcription of NtSnRK2.8 was induced by abscisic acid treatment; NtSnRK2.7 responded much faster to salt and cold stress. Furthermore, expression of NtSnRK2.8 increased intensely and reached its maximum at 1 h under drought stress indicating that it is sensitive to osmotic stress. Our results suggest that NtSnRK2.7 and NtSnRK2.8 are involved in multiple stress response pathways in distinct ways.
Application of plant growth regulators (PGRs) to soybean plants is known to induce changes in nitrogenase activity in root nodules, and this led us to hypothesize that PGRs would affect nitrogenase activity in free-living rhizobia cultures. Little is known about the molecular basis of the effects of PGRs on nitrogenase activity in free-living rhizobia cultures. Therefore, a comparative study was conducted on the effects of gibberellins (GA3) and mepiquat chloride (PIX), which regulate plant growth, on the nitrogenase activity of the nitrogen-fixing bacterium Bradyrhizobium japonicum. Fix and nif gene regulation and protein expression in free-living cultures of B. japonicum were investigated using real-time PCR and twodimensional electrophoresis after treatment with GA3 or PIX. GA3 treatment decreased nitrogenase activity and the relative expression of nifA, nifH, and fixA genes, but these effects were reversed by PIX treatment. As expected, several proteins involved in nitrogenase synthesis were down-regulated in the GA3-treated group. Conversely, several proteins involved in nitrogenase synthesis were upregulated in the PIX-treated group, including bifunctiona ornithine acetyltransferase/N-acetylglutamate synthase, transaldolase, ubiquinol-cytochrome C reductase iron-sulfur subunit, electron transfer flavoprotein subunit beta, and acyl-CoA dehydrogenase. Two-pot experiments were conducted to evaluate the effects of GA3 and PIX on nodulation and nitrogenase activity in Rhizobium-treated legumes. Interestingly, GA3 treatment increased nodulation and depressed nitrogenase activity, but PIX treatment decreased nodulation and enhanced nitrogenase activity. Our data show that the nif and fix genes, as well as several proteins involved in nitrogenase synthesis, are up-regulated by PIX and down-regulated by GA3, respectively, in B. japonicum.
Pierwsza strona wyników Pięć stron wyników wstecz Poprzednia strona wyników Strona / 1 Następna strona wyników Pięć stron wyników wprzód Ostatnia strona wyników
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.