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The species of the genus Neochauliodes from Yunnan are revised. The following three species are described as new to science: Neochauliodes bicuspidatus, N. parcus and N. punctatolosus. A key to the species of the genus from Yunnan is presented.
A representative population of 157 straw silages was used as database for studying the possibilities of NIRS to predict chemical composition. NIRS calibrations were developed by means of modified partial least-squares (MPLS) regression. NIRS analysis of dried straw silages provided accurate predictions of dry matter (DM), crude protein (CP), neutral detergent fibre (NDF), acid detergent fibre (ADF), hemicellulose, ash and lactic acid content as well as pH, with correlation coefficients of crossvalidation (R2 cv) of 0.87, 0.95, 0.85, 0.84, 0.88, 0.92, 0.85 and 0.96 respectively and standard error of cross-validation (SECV) of 23, 6, 22, 20, 14, 23, 6, 16 g kg-1DM and 0.06 g kg-1DM respectively. The NIRS technique could also accurately predict CP content, 0.91 (SECV: 7 g kg-1DM), DM content, 0.92 (SECV: 18 g kg-1DM) and pH, 0.94 (SECV: 0.09 g kg-1DM) of fresh straw silages.
Evidence has demonstrated that matrix metalloproteinases (MMPs) contribute to the pathophysiology of bacterial meningitis; therefore, MMP inhibitors may be a neuroprotective treatment for brain injury caused by meningitis because of their anti¬inflammatory effects. The objective of this study was to evaluate the effect of the MMP inhibitor GM6001 in a rat model of S. pneumoniae meningitis. For these experiments, 7-day-old Sprague-Dawley rats were randomly divided into an uninfected group, meningitis group, antibiotic group and GM6001+antibiotic group. Uninfected animals were sham infected with sterile saline. Rats in the other three groups were inoculated with S. pneumoniae and left untreated, treated with ceftriaxone, or treated with ceftriaxone combined with GM6001. Rats in the meningitis group were severely ill, and MMP-9 was significantly up-regulated. The change in brain water content was consistent with the MMP-9 level. A significant loss of neurons and impaired learning function were observed in the meningitis group. Treatment with the antibiotic and GM6001 significantly down-regulated the level of MMP-9, decreased the brain water content, attenuated neuronal injury and improved learning. Conclusions: GM6001 protected the brain from damage caused by S. pneumoniae, and this effect may occur via down- regulating MMP-9 and decreasing brain water content.
In arid and semi-arid ecosystems, shrubs have an important effect on neighboring plants. However, little is known about the interaction of herb growth stages and shrub location on herb performance. We selected Reaumuria soongorica, (Pall.) Maxim a shrub dominant in the semiarid region of northwest China, to determine whether (1) shrubs facilitate or have negative effects on neighbouring herbaceous vegetation, and (2) such effects vary with herb growth stage and with shrub orientation relative to herbs. The presence of herbaceous plant species, plant density, plant height, and percent cover were determined along 2 m long transects spreading in four directions from the base of shrub – east (transect E), west (transect W), south (transect S), and north (transect N); this was repeated for three growth stages (in May, June and July). Results indicated that the effects of R. soongorica on neighboring herbs in different growth stages were similar. Species number of herb-layer plants tended to increase from beneath the canopy to the opening, but plant density, cover and plant height decreased with distance away from shrub base. The presence of R. soongorica had positive effects on density, cover, and plant height, and negative on the number of herbaceous species during the entire growing season. Herbaceous plants growing on transect N under the shrub canopy had significantly higher density and percent cover than those growing in other directions. Biomass of herbs on transect N grown under the shrub canopy was higher than that of herbs on other transects. We concluded that shrub effects on neighbouring herbaceous vegetation were closely related to the shrub orientation relative to the herbs. Therefore, using shrubs as nurse plants for grass-growing must consider the relative placement of shrubs.
Recent physiological studies indicate that weightlessness reliably alters ocular structure and function, as well as the ability to process visual‑spatial information. The posterior parietal cortex (PPC) and lateral geniculate nucleus (LGN) are two key brain areas implicated in the processing of visual‑spatial information. Here, we used the modified tail‑suspension rat model to simulate the physiological effects of microgravity. Rats were divided into four groups, which exposed to the simulated microgravity environment for 0 (Control group), 7, 14, or 28 days. We found a significant increase in cellular apoptosis in the PPC and the LGN after 7 days of simulated microgravity. In addition, there was an increase in expression of c‑Fos protein in the PPC, and a repression of the PI3K/Akt signaling pathway in the LGN after 7 days. Based on these results, we conclude that short‑term simulated microgravity may induce cell apoptosis in the PPC and LGN, and reflect a neural adaptive process to accommodate a microgravity environment
Cellulose-degrading strains play an important role in cellulose degradation at low temperatures. In this study, three cellulose-degrading strains with high carboxymethyl cellulase (CMCase) activity were isolated from the soil in a low temperature environment of 10ºC. ZS-7 was Cladosporium sp, ZS-8 was Alternaria porri, and ZS-10 was Trichoderma harzianum, based on 16s rDNA gene sequence analysis. They were mixed, marked as ZS-M, and used for corn straw degradation at 15ºC in order to determine their application properties. ZS-7, ZS-8, ZS-10, and ZS-M efficiently degraded corn straw by 45.98%, 47.96%, 34.215%, and 33.56%, respectively, after 30 days of stationary culture. The dynamics of CMC, β-Glucosidase, and FPA during corn straw degradation were determined. The CMCase activity of ZS-7 and ZS-8 was 31.732 U/ml and 31.111 U/ml, respectively, but the enzyme activities and degradation of ZS-M were lower than the single strain because of metabolic effects that influenced the degradation process. The pH values of ZS-7, ZS-10, and ZS-M were particularly stable, changing from 7.08 to 7.77 during the full degradation cycle. ZS-7, ZS-8, and ZS-10 could be applied more broadly to degrade corn straw in cold regions.
The productivity-diversity relationship in grasslands is of great interest with regard to species loss in natural ecosystems, where species extinction is not random but directed. We carried out a three-year investigation from 2005 to 2007 along an elevation gradient in alpine grasslands of Central Asia in an area of 70 x 20 km2 at Bayinbuluk, Tianshan Mountains. We selected 9 sites (10 x 10 m2) and 117 plots (1 x 1 m2) from 2460 to 3260 m a.s.l. with 100 m intervals of altitude. Species richness, productivity, soil characteristics, air temperature and relative humidity (May–August) were recorded. The relationship between plant diversity and productivity was significant and positive. We used ordination techniques such as Canonical Correspondence Analysis (CCA) to examine the relationship between vegetation and the environmental factors. The results showed that plant species composition, species richness and productivity were significantly affected by air temperature, soil pH and relative humidity across the study area.
Belowground properties strongly affect agricultural productivity. Traditional methods for quantifying below- ground properties are destructive, labor-intensive and point-based. Ground penetrating radar can provide non-invasive, areal, and repeatable underground measurements. This article reviews the application of ground penetrating radar for soil and root measurements and discusses potential approaches to overcome challenges facing ground penetrating radar-based sensing in agriculture, especially for soil physical characteristics and crop root measurements. Though advanced data-analysis has been developed for ground penetrating radar-based sensing of soil moisture and soil clay content in civil engineering and geosciences, it has not been used widely in agricultural research. Also, past studies using ground penetrating radar in root research have been focused mainly on coarse root measurement. Currently, it is difficult to measure individual crop roots directly using ground penetrating radar, but it is possible to sense root cohorts within a soil volume grid as a functional constituent modifying bulk soil dielectric permittivity. Alternatively, ground penetrating radar-based sensing of soil water content, soil nutrition and texture can be utilized to inversely estimate root development by coupling soil water flow modeling with the seasonality of plant root growth patterns. Further benefits of ground penetrating radar applications in agriculture rely on the knowledge, discovery, and integration among differing disciplines adapted to research in agricultural management.
Particle size fractions, varying from 1.6 to 0.1 mm, were separated from samples of municipal solid waste (MSW) compost. Several physical and chemical parameters of the samples with different particle sizes were measured. The results indicated particle size fractionation changed the physical properties and chemical component distribution of compost. Bulk density of the compost increased as particle size decreased. However, with the decrease of particle size there is a trend to decrease some soil parameters as pH, porosity, saturated water holding capacity, organic content, and Ca, Fe, Mg, and Mn contents. Higher organic content was found in fractions of diameter exceeding 0.4 mm, and total N content was higher (P<0.05) in fractions of diameter exceeding 0.8 mm than <0.8 mm fractions. Phosphorus was mainly distributed in coarse fractions larger than 0.8 mm, but K was concentrated in fine fractions of <0.8 mm. Calcium, Fe, Mg, and Mn contents in fractions >0.8 mm were higher (P<0.05) than those in fractions < 0.4 mm and control. Heavy metal concentrations in individual particles have strong particle size dependence. Lead was largely contained in fractions <0.8 mm, 244% higher than in >0.8 mm fractions. High Cu content was observed in the size range of 0.2-0.4 mm and 0.8-0.4 mm, with the maximum of 1,317 mg·kg⁻¹ in the range of 0.8-0.4 mm. Zinc concentration was found to be the lowest in the range of 1.6-0.8 mm as compared to other fractions and control. No significant differences in Cd content were found between each treatment and control. Chromium and Ni were associated with the <0.8 mm particles more than any other fractions, and their concentrations were 177% and 140% higher than other particle sizes obtained, respectively. Based on the physical and chemical properties of different compost fractions used in this experiment, it is observed that coarse compost particles larger than 0.8 mm have considerable potential in agricultural applications as soil amendments.
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