校院两级管理模式下地方农业高校教科研指标体系构建探索与对策研究

校院两级管理是高等院校内部管理体制改革创新的必然趋势,对高等院校盘活存量、激活增量具有重要作用。文章系统梳理了国内外高等院校内部管理体制改革和校院两级管理模式以及教科研指标体系的差异和特征,着重聚焦当前地方农业高校教科研指标体系构建中存在的问题,探析地方农业高校校院两级管理教科研指标体系构建的关键因素和环节,提出了“核心+特色”校院两级指标设置和“个人+团队”教师考核评价方式的两项对策,以期为地方农业高校校院两级管理教科研指标考核和评价提供借鉴和参考。     

Assessing the effects of vegetation and precipitation on soil erosion in the Three-River Headwaters Region of the Qinghai-Tibet Plateau,China

Soil erosion in the Three-River Headwaters Region (TRHR) of the Qinghai-Tibet Plateau in China has a significant impact on local economic development and ecological environment. Vegetation and precipitation are considered to be the main factors for the variation in soil erosion. However, it is a big challenge to analyze the impacts of precipitation and vegetation respectively as well as their combined effects on soil erosion from the pixel scale. To assess the influences of vegetation and precipitation on the variation of soil erosion from 2005 to 2015, we employed the Revised Universal Soil Loss Equation (RUSLE) model to evaluate soil erosion in the TRHR, and then developed a method using the Logarithmic Mean Divisia Index model (LMDI) which can exponentially decompose the influencing factors, to calculate the contribution values of the vegetation cover factor (C factor) and the rainfall erosivity factor (R factor) to the variation of soil erosion from the pixel scale. In general, soil erosion in the TRHR was alleviated from 2005 to 2015, of which about 54.95% of the area where soil erosion decreased was caused by the combined effects of the C factor and the R factor, and 41.31% was caused by the change in the R factor. There were relatively few areas with increased soil erosion modulus, of which 64.10% of the area where soil erosion increased was caused by the change in the C factor, and 23.88% was caused by the combined effects of the C factor and the R factor. Therefore, the combined effects of the C factor and the R factor were regarded as the main driving force for the decrease of soil erosion, while the C factor was the dominant factor for the increase of soil erosion. The area with decreased soil erosion caused by the C factor (12.10×10³ km²) was larger than the area with increased soil erosion caused by the C factor (8.30×10³ km²), which indicated that vegetation had a positive effect on soil erosion. This study generally put forward a new method for quantitative assessment of the impacts of the influencing factors on soil erosion, and also provided a scientific basis for the regional control of soil erosion.     

面向“双一流”建设的中国高校科技发展指数研究

创新高校科技评估的理念,提高高校科技评估水平是建设一流大学与一流学科的有力保障。文章主要从高校科技发展指数的概念和特征、指数构建的原则、指标体系的设计和指数评价模型的构建等方面对中国高校科技发展指数进行了阐述,为中国高校科技发展指数的全面实施打下基础。与以往高校科技评估方式相比,高校科技发展指数具有动态性、国际标准性和客观可行性等特点,满足了“双一流”建设背景下高校科技评估的新要求。     

Analysis of Drought Characteristics and Its Trend Change in Shaanxi Province Based on SPEI and MI

【Objective】 At present, most drought studies were based on historical drought events to analyze the causes and trends. This paper sought to simulate the drought index method when outputting future meteorological data based on CMIP5 model, and explored the characteristics of past and future drought changes in Shaanxi Province, which could provide a basis for the future management of agricultural water resources in Shaanxi Province. 【Method】Based on the historical data of 18 meteorological stations in Shaanxi Province and CMIP5 model, the future meteorological data were output. The reference crop evapotranspiration (ET₀) was simulated by comparing three kinds of models. The standard precipitation evaporation index (SPEI) and relative moisture index (MI) were calculated based on the reference crop ET₀ and precipitation data to reflect the drought degree. The spatial and temporal characteristics of drought in the past (1958-2017) and in the future (2018-2100) were compared.【Result】Multiple linear regression (MLR) simulation could accurately predict the reference crop ET₀ (RMSE=0.457 mm·d ^-1). In the RCP2.6 and RCP8.5 scenarios, the future drought index showed an upward trend. Under the RCP8.5 scenario, there was a sudden change in the drought index in the 1940s. The degree of drought would decrease in the future of Shaanxi Province, and the distribution of drought would be more uneven during the year. In the future, the degree of drought would decrease during summer maize growth season, and the degree of drought would increase during winter wheat growth season.【Conclusion】The characteristics and extent of drought change were different under different RCP scenarios. The changes in drought characteristics reflected by SPEI and MI were basically the same, but there were differences in the changes in some time periods. In order to effectively cope with the negative impact of climate change on dry crop yields, it was necessary to enhance soil water storage and conservation capacity, especially to strengthen drought resistance during the winter wheat growing season.     

安神香囊改善肠易激综合征患者睡眠质量的临床观察

目的 观察安神香囊对肠易激综合征（irritable bowel syndrome，IBS）患者睡眠质量的影响。方法 将符合标准的160例患者按照1∶1的比例随机分为对照组和观察组，各80例，两组患者均予中医辨证治疗，观察组在此基础上加用安神香囊，疗程均为4周；观察两组患者主要症状（腹痛腹胀、大便频率、大便性状）积分、中医证侯积分、匹兹堡睡眠质量量表（Pittsburgh sleep quality index，PSQI）评分及不良反应。结果 观察组脱落2例，对照组脱落5例；观察组腹痛腹胀、大便频率、大便性状的改善率分别为85.9%、89.7%、83.3%，对照组为72.0%、82.7%、78.7%，两组腹痛腹胀的改善率比较差异具有统计学意义（P<0.05）；观察组中医治疗总有效率为91.0%，对照组为77.3%，两组比较差异具有统计学意义（P<0.05）；两组患者PSQI评分均降低（P<0.05），且观察组低于对照组，两组比较差异具有统计学意义（P<0.05）。结论 安神香囊能有效降低IBS患者PSQI评分，改善患者睡眠质量，对缓解IBS的主要症状也有辅助作用，并且能提高中医治疗IBS的疗效，未见明显不良反应。     

中国奶业全产业链绿色发展指标的时空变化特征

奶业是关乎国民健康和食品安全的战略性农业产业,本文从社会发展、经济效益、产品生产、资源投入和生态环境5个方面选取28项指标,发展和完善了中国奶业全产业链绿色发展指标体系和分级标准。基于该指标体系,利用NUFER-animal模型,定量分析了1990—2017年中国奶业绿色发展指标的时空分布特征,剖析了产业绿色发展的限制因素,阐明了优化途径。结果表明:中国人均奶制品消费量稳步提高,从2.0kg?cap.?1?a?1增加到12.5kg?cap.?1?a?1;奶牛单产水平不断提高,从2.4t?head?1?a?1增加到7.0t?head?1?a?1,种养系统氮素利用效率由8.4%提升至14.4%;单位牛奶的资源投入和环境代价均呈下降趋势,生产单位牛奶的蓝水足迹由0.5 m3?kg?1降低到0.2 m3·kg?1,耕地资源投入量由18.5 m2?kg?1降低到3.3 m2?kg?1;养殖系统氨挥发量指标由21.9 g(N)?kg?1降低到7.0 g(N)?kg?1,但仍远远高于欧美国家水平;牛奶生产和加工成本逐年增加,利润却低于欧美等先进国家的水平。空间特征分析表明:农牧交错带和东部沿海地区产品生产、资源投入和生态环境绿色发展水平相对较高,北方地区牛奶及奶制品的生产、消费水平均高于南方地区。发展种养一体化产业链融合绿色发展技术与模式、构建产销一体化产业链融合绿色发展利益共享机制和形成全产业链质量追踪服务体系与国民消费信任机制是促进中国奶业振兴和绿色发展的有效途径。     

黄淮旱地组小麦品种抗旱性鉴定比较分析

为了解近年来黄淮冬麦区旱地组小麦品种抗旱性的整体情况,对2017—2019年黄淮冬麦区132个区试品种（系）在干旱胁迫下的产量及抗旱指数,穗数、穗粒数、千粒重、株高等性状及抗旱系数,进行分析总结。结果表明：黄淮旱肥组、旱薄组、北部组区试品种（系）近年来品种的抗旱性趋势大体相同,胁迫情况下产量总的变化是旱肥组>旱薄组>北部组,且呈逐年稳中有升的趋势,从抗旱指数看,黄淮旱地小麦品种的抗旱整体还处于偏弱的水平;抗旱性状表现为干旱胁迫下均有不同程度的受损,均以千粒重的受损程度最小,有效穗、穗粒数、株高受损程度最大。     

油菜高光效种质综合鉴选指标体系与方法

高光效种质是开展作物高光效育种的基础。在剖析油菜高光效种质筛选要求、面临困难、研究缺陷的基础上,针对油菜超高产育种目标和生产实际需求,构建出油菜高光效的综合筛选指标体系和方法,对油菜种质进行数量化综合评价,并开展定向选育和杂交改良。在实际应用中取得良好效果,获得一批油菜高光效种质,为利用“高光效+杂种优势”途径开展油菜高光效育种奠定了物质基础。     

基于landsat8的贵州省2015年农业干旱监测研究

在全球气候变暖背景下,干旱普遍发生,而农业干旱对国民经济发展的影响尤为明显,同时农业干旱还威胁着国家的粮食安全和生态安全。基于贵州省2015年不同季节的landsat8 OIL遥感数据,利用影像数据所获取的植被覆盖指数和地表温度数据,拟合植被指数(NDVI)和地表温度(LST)的特征空间,设计得到贵州省2015年春、夏、秋、冬四个不同季节的不同的土壤湿度,将TVDI作为监测农业干旱状况的指标,得到贵州省2015年的农业干旱时空分布图。结果表明,土壤含水率的高低与植被覆盖和地表温度有关,且TVDI更适宜中等植被覆盖的土壤湿度反演。贵州省2015年全年旱情较缓,各地区均不存在春旱或伏旱,只有冬季绝大部分地区土壤含水率较低,更有力地促进了农业干旱的发生。因此,对农业干旱的监测研究为贵州省农业干旱的监测管理提供有力依据,为今后减少农业干旱的影响和进一步促进农业社会经济可持续发展具有重要的现实意义。     

我国农机产品出口竞争力分析

基于贸易竞争力指数测算手段对我国农机产品进出口情况进行了测算和分析,找出了我国农机出口优势和弱势产品的类别,分析了当前我国农机产品出口贸易中存在的问题并找出解决途径,为提升我国农机产品出口竞争力提供了参考。