丘陵山地区耕地水约束状态研究——以黎香溪流域为例

建立一种土壤水循环机理与地形特征结合的层次评价模型,以长江一级支流——黎香溪流域为研究区,以土壤的蓄水量、土壤地形湿度、蒸散发量和灌溉用水条件作为评价因子,采用层次分析法对流域耕地水约束状态进行综合分析,将水约束状态分为轻度、一般、较重、重度、极重5个等级。通过对300个样本的抽样调查,分析结果总体正确率为78%。灌溉条件的影响力随着约束等级的降低而增加,正确率随着约束等级的降低而降低,从极重到轻度正确率分别为85.00%、81.67%、78.33%、75.00%和68.33%。流域内耕地受用水较重及以上程度约束占总面积的55%。模型对流域内部耕地用水状态的相对差异模拟精度较高,灌溉水平的差异是误差的主要来源。     

The use of digital image analysis and real‐time PCR fine‐tunes bioassays for quantification of Cercospora leaf spot disease in sugar beet breeding

Cercospora leaf spot, caused by the fungus Cercospora beticola, is a major fungal sugar beet disease worldwide and the cause of significant yield losses. The disease is most successfully countered by the introduction of genetic tolerance into elite sugar beet hybrids. To this end, breeding programmes require high quality biological assays allowing discrimination of minor differences between plants within a segregating population. This study describes the successful implementation of image analysis software in the bioassays for quantification of necrotic lesions at different stages of C. beticola infection, allowing selection on minor phenotypic differences during the sugar beet breeding process for C. beticola resistance. In addition, a real‐time PCR assay was developed for the quantification of C. beticola pathogen biomass in infected beet canopy. The use of both techniques, even in an early stage of infection, fine‐tunes current bioassays, allowing more accurate and efficient selection of resistant breeding material.     

Can Landform Stratification Improve Our Understanding of Crop Yield Variability?

Farmers account for yield and soil variability to optimize their production under mainly economic considerations using the technology of precision farming. Therefore, understanding of the spatial variation of crop yield and crop yield development within arable fields is important for spatially variable management. Our aim was to classify landform units based on a digital elevation model, and to identify their impact on biomass development. Yield components were measured by harvesting spring barley (Hordeum vulgare, L.) in 1999, and winter rye (Secale cereale, L.) in 2000 and 2001, respectively, at 192 sampling points in a field in Saxony, Germany. The field was stratified into four landform units, i.e., shoulder, backslope, footslope and level. At each landform unit, a characteristic yield development could be observed. Spring barley grain yields were highest at the level positions with 6.7 t ha⁻¹ and approximately 0.15 t ha⁻¹ below that at shoulder and footslope positions in 1999. In 2000, winter rye harvest exhibited a reduction at backslope positions of around 0.2 t ha⁻¹ as compared to the highest yield obtained again at level positions with 11.1 t ha⁻¹. The distribution of winter rye grain yield across the different landforms was completely different in 2001 from that observed in 2000. Winter rye showed the highest yields at shoulder positions with 11.1 t ha⁻¹, followed by the level position with 0.5 t ha⁻¹ less grain yield. Different developments throughout the years were assumed to be due to soil water and meteorological conditions, as well as management history. Generally, crop yield differences of up to 0.7 t ha⁻¹ were found between landform elements with appropriate consideration of the respective seasonal weather conditions. Landform analysis proved to be helpful in explaining variation in grain yield within the field between different years.     

数字图书馆的发展与启示

介绍了当今美国数字图书馆的建设特色,我国数字图书馆的现状与前景,提出美国数字图书馆的建设对我国正在建设的数字图书馆工程起着十分重要的借鉴意义。     

Enhancing pedotransfer functions with environmental data for estimating bulk density and effective cation exchange capacity in a data‐sparse situation

Soil bulk density (BD) and effective cation exchange capacity (ECEC) are among the most important soil properties required for crop growth and environmental management. This study aimed to explore the combination of soil and environmental data in developing pedotransfer functions (PTFs) for BD and ECEC. Multiple linear regression (MLR) and random forest model (RFM) were employed in developing PTFs using three different data sets: soil data (PTF‐1), environmental data (PTF‐2) and the combination of soil and environmental data (PTF‐3). In developing the PTFs, three depth increments were also considered: all depth, topsoil (<0.40 m) and subsoil (>0.40 m). Results showed that PTF‐3 (R²; 0.29–0.69) outperformed both PTF‐1 (R²; 0.11–0.18) and PTF‐2 (R²; 0.22–0.59) in BD estimation. However, for ECEC estimation, PTF‐3 (R²; 0.61–0.86) performed comparably as PTF‐1 (R²; 0.58–0.76) with both PTFs out‐performing PTF‐2 (R²; 0.30–0.71). Also, grouping of data into different soil depth increments improves the estimation of BD with PTFs (especially PTF‐2 and PTF‐3) performing better at subsoils than topsoils. Generally, the most important predictors of BD are sand, silt, elevation, rainfall, temperature for estimation at topsoil while EVI, elevation, temperature and clay are the most important BD predictors in the subsoil. Also, clay, sand, pH, rainfall and SOC are the most important predictors of ECEC in the topsoil while pH, sand, clay, temperature and rainfall are the most important predictors of ECEC in the subsoil. Findings are important for overcoming the challenges of building national soil databases for large‐scale modelling in most data‐sparse countries, especially in the sub‐Saharan Africa (SSA).     

圆弧插补对数算法及误差分析

提出了一种采用对数算法的圆弧插补方法，并对插补误差进行了分析，插补软件利用ＭＣＳ－５１汇编语言编制。     

对图书馆人文类下架报刊的再利用有感——报刊阅览室改革收效

报刊管理是一项有益于学生身心的事业。学生们就像即将绽放的花蕾般需要浇灌,而我们则像园丁。只有让他们明白报刊的重要性,再从中提炼知识的精华,才能成为坚强,忠诚,理智的人。走入图书馆,无异于走进灵魂的加油站。而我们驻守在这里,也身负重要的责任。它的精粹,足以涤荡人心。报刊的循环利用,更是使这一作用良性循环,生生不息。     

数字图像处理技术在木材微观结构研究中的应用概况

对木材微观结构的研究始终是木质材料学发展的难点,数字图像处理技术的引入不仅带来了对此问题的高效解决方案,更展示出了广阔的研究前景,分析并总结了国内外该项技术在木材微观结构研究中的进展和应用。     

基于WEB2．0的高职院校图书馆特色数字资源建设

高职院校图书馆特色数字资源建设极为重要。把Web2．0充分应用到LIB2．0中,应用前景十分广阔。通过数字资源建设总体结构图,构想高职院校图书馆特色数字资源建设的一些途径。     

DIGITAL POWER SYSTEM STABILIZER ( DPSS )

A digital power system stabilizer ( DPSS ) and its design method are presented in this paper. The mathematical model of a single machine infinite bus power system is obtained using off-line parameter identifications, and on the base of the identified model the control system is synthesized by generalized minimum variance control principles. Through feedback combination of several signals this control system has double functions of damping low frequency oscillation and automatic voltage regulating. In order to avoid static errors the very effective way is to combine discrete generalized minimum variance control with continuous integral control. Besides the proposed control strategy is very simple in structures and very easy to realize. Simulation results under several cases have shown the correctness and effectiveness of the proposed control strategy.