加快凉山绿色肉羊基地建设的思考

本文根据当前畜牧业生产形势结合凉山实际,就凉山绿色肉羊基地建设问题进行了一些思考,并提出了相应对策建议.     

高效液相色谱法测定齿毛芝中的碱基

采用250SS4.6-ODSZ-8/5色谱柱,体积分数20%的甲醇为流动相,紫外260nm检测,尿嘧啶,尿苷,腺嘌呤腺苷的保留时间分别为2.23min,2.97min,4.13min和6.74min,检测齿毛芝中碱基的摩尔比依次为1`.24:0.41:2.29:2.05.     

云和县雪梨产业化建设进展与思考

分析了云和雪梨产业化建设的提出背景,总结了雪梨产业化建设进程中取得的经验与方法,同时在建立土地流转机制、发挥政府在雪梨产业化进程中的作用、培植龙头企业、科技创新与推广树立精品意识等方面进行了深入的思考.     

C_R704玉米与S_C704玉米过氧化物酶同工酶及生理指标分析

C_R704玉米与S_C704玉米各时期的过氧化物酶同功酶谱无明显差别,二者遗传基础一致,但酶活性C_R704玉米高于S_C704玉米。经测定三系杂种C_R704玉米在叶绿素、糖、淀粉及蛋白质含量均优于单交种S_C704玉米。     

Role of polymerase β in DNA metabolism and genomic instability

The major role of DNA polymerase β was thought to be limited in its involvement in short patch base excision repair by removing 5’-deoxyribose phosphate and base insertion. However, the recent researches indicate that polymerase β might take part in a wide spectrum of DNA metabolism reactions, including long patch base excision repair, DNA replication, recombination, meiosis and transleisional DNA synthesis. Because of its wide and important cellular function, an inappropriate intracellular polymerase β level might be associated with genomic instability. Down-regulation or mutation of polymerase β is mutagenic due to deficient in DNA repair, while overexpression of this error-prone β polymerase might perturb the normal function of other accurate polymerases and cause genomic instability as well.     

国土空间详细规划现状底图底数转换方法研究

统一底图底数是编制各类空间规划的重要前提和基础,第三次国土调查数据作为当前权威性最高、现势性最强的国土空间利用现状数据,所采用的工作分类与国土空间规划采用的用地用海分类存在较大差异。本文通过对工作分类和用地用海分类进行衔接分析,提出了基于第三次国土调查数据的国土空间详细规划现状底图底数转换的总体技术思路、关键技术方法。     

减少底肥施用量增加叶面施肥次数对玉米产量的影响

该试验目的是研究降低底肥施用量但是增加叶面肥施用次数方面对玉米产量的变化规律，旨在找出最经济的施肥方式以达到在保护环境的基础上提高经济效益的目的。试验表明，玉米产量随着底肥施用量的增加而提高，并且叶面肥喷施次数越多产量越高，每喷一次，可增加产量258~592.5 kg/hm2，增产幅度2.3%~5.6%。     

基于实习基地建设的园林专业实践能力协同培养模式探索

园林专业具有实践性强的特点。建设实习基地的过程，可以作为园林专业多门课程的实践教学任务，有利于全方位地训练学生的实操能力。将不同课程的实验集中整合在实习基地建设的过程中，协同培养园林专业学生的实践能力。实践表明，该培养模式可以串联多门专业课程，并整合相关课程中重复的实践教学内容。有助于师生之间加强沟通，教学相长，并显著提升学生的学习兴趣和专业综合能力。     

农业生产基地项目环境影响评价要点分析及探讨

农业生产基地项目具有影响范围大、产品服务多元化等特点，涉及行业类别较多，其环境影响评价文件也相对复杂。环境影响评价报告编制单位应充分与建设方进行沟通，熟悉项目建设内容，挖掘项目可能的产生污染的环节和设施，明确环境影响范围和环境敏感点，并对项目损益进行两方面的分析。     

Modelling soil erodibility in mountain rangelands of southern Kyrgyzstan

Soil erosion in mountain rangelands in Kyrgyzstan is an emerging problem due to vegetation loss caused by overgrazing. It is further exacerbated by mountain terrain and high precipitation values in Fergana range in the south of Kyrgyzstan. The main objective of this study was to map soil erodibility in the mountainous rangelands of Kyrgyzstan. The results of this effort are expected to contribute to the development of soil erodibility modelling approaches for mountainous areas. In this study, we mapped soil erodibility at two sites, both representing grazing rangelands in the mountains of Kyrgyzstan and having potentially different levels of grazing pressure. We collected a total of 232 soil samples evenly distributed in geographical space and feature space. Then we analyzed the samples in laboratory for grain size distribution and calculated soil erodibility values from these data using the Revised Universal Soil Loss Equation (RUSLE) K-factor formula. After that, we derived different terrain indices and ratios of frequency bands from ASTER GDEM and LANDSAT images to use as auxiliary data because they are among the main soil forming factors and widely used for prediction of various soil properties. Soil erodibility was significantly correlated with channel network base level (geographically extrapolated altitude of water channels), remotely sensed indices of short-wave infrared spectral bands, exposition, and slope degree. We applied multiple regression analysis to predict soil erodibility from spatially explicit terrain and remotely sensed indices. The final soil erodibility model was developed using the spatially explicit predictors and the regression equation and then improved by adding the residuals. The spatial resolution of the model was 30 m, and the estimated mean adjusted coefficient of determination was 0.47. The two sites indicated different estimated and predicted means of soil erodibility values (0.035 and 0.039) with a 0.05 significance level, which is attributed mainly to the considerable difference in elevation.