烟单14号夏玉米产量三因素最佳取值范围的探讨

作者根据大量试验和调查数据的分析,提出烟单14号夏玉米在高产条件下,亩穗数、穗粒数、千粒重三因素的最佳取值范围。 亩穗数:3569～4980 穗/亩; 穗粒数:423～526 粒/穗; 千粒重:259～278 克/1000粒。     

内蒙古西辽河流域特种玉米品种特性及气候区划

基于玉米本身的特性和用途的不同,将玉米分为高油型玉米、高淀粉型玉米、高赖氨酸型玉米和甜玉米四大类型.根据每种玉米品种对气候条件、土壤类型、地形特征等的不同需求,以通辽地区作为内蒙古东部西辽河流域玉米主产区的示范区,提出了特种玉米的区划指标,并利用GIS技术进行适宜种植区域划分.内蒙古通辽地区大部分农区适宜种植特种玉米,最适宜区、适宜区基本上均位于通辽南部和中部农业区.     

云状判断中易出现的几种误记

春干旱、夏高温、秋阴雨是对临汾丘陵旱地区杂交玉米制种危害最大的3种灾害性天气。根据十多年的制种实践，提出了从抓改革耕作制度，增施有机肥等培肥地力，提水保墒，确保按期播种，培育壮苗，提高制种田的抗灾能力，以求这一地区杂交玉米制种平稳、健壮发展。     

Understanding the Past and Present and Predicting the Future: Farmers’ Use of Multiple Nutrient Best Management Practices in the Upper Midwest

Understanding what drives farmers’ voluntary adoption of nutrient and soil best management practices has important consequences for many environmental outcomes including water quality. We build on research revealing the need for simultaneous use of multiple nitrogen best management practices to achieve water quality improvement goals. Using social, economic and attitudinal variables we predict the use of multiple nitrogen best management practices at three time points: current use (2013), past use (before 2013), and likelihood of use on their largest field in the next three years. Our empirical analysis uses structural equation modeling with latent variables and 2014 farmer survey data from three Midwestern US states. Most farmers in our sample used at least one of the six best management practices. Our results reveal that farmers’ attitudes, use of information sources, and conservation program participation affect the number of nitrogen best management practices concurrently in use at multiple time points.     

辽宁省春玉米全育期的气候适宜度及年景评估

为评价气候变化对玉米生长的影响,以辽宁省为例选取1969—2018年18个气象站点的逐日实测气象数据,利用模糊数学法建立春玉米气候适宜度评估模型,以地理信息技术为依托,探究春玉米气候适宜度的时空特征,并在此基础上进行玉米气候年景的综合评估。结果表明：① 辽宁省春玉米全生育期内日照、温度、降水适宜度波动幅度较大;然而春玉米种植气候适宜度的空间差异性较弱。② 春玉米各生育期气候适宜度由高到低为：出苗期>开花期>成熟期>播种期。全生育期温度适宜度最高,日照适宜度次之,降水适宜度最低。③ 春玉米播种期、出苗期、开花期和成熟期的气候适宜度最高值分别出现在辽阳、葫芦岛、营口和铁岭。④ 春玉米气候年景准确率达64%,表明该评估方法可以较为准确地反映气候年景。近50 a辽宁省春玉米偏好的年景有4个年份（1971、1979、1993、1998年）,较差的有1969年（4.98%）及1973年（5.59%）。     

饵料中添加自然产物对豹纹鳃棘鲈生长和体色的影响

为探究自然成分添加剂对东星斑Plectropomus Leopardus的影响,选择了虾青素、叶黄素、螺旋藻和玉米蛋白粉4种自然产物,以不同量分别添加到石斑鱼配合饵料中制成实验饵料,在循环水养殖系统中喂养东星斑75 d,测定了实验前后东星斑的生长率、特定生长率、饵料系数3个主要生长指标和鱼体代表部位的体色指标。结果显示,4种添加物对东星斑的增重率、特定生长率和饵料系数均无显著影响(P<0.05,下同);4种添加物均使东星斑的体色亮度L^*值略变小,且部分体色L^*值影响显著;4种添加物均能使东星斑的a^*值和b^*值升高,且与空白对照组比差异显著,尤其是虾青素,对东星斑体色整体变红、变黄效果最为显著。     

玉米深加工产业的循环经济模式研究

玉米深加工具有典型的替代能源及循环经济特征。目前玉米深加工行业面临的资源短缺和环境污染的双重制约。从促进经济与环境协调发展的角度,结合玉米深加工产业发展及环境治理现状,对玉米深加工产业的循环经济模式——玉米深加工生态产业园区建设进行了探索。通过对玉米深加工生态产业园上下游原料产业链的延伸、各环节废物的资源化分析、能源与水资源回收利用的设计和生态产业园区外围企业关系的研究,结果表明,通过实施清洁生产和延长产业链,构建闭合循环的玉米深加工生态产业链条,可实现资源、能源的有效节约和副产品、废弃物的综合利用,具有相应的环境、经济和社会效益,在增强企业绿色竞争力的同时可促进玉米深加工产业的可持续发展。该模式对吉林省及同类地区玉米深加工产业的可持续发展有指导和借鉴意义。     

我国春玉米水分供需状况分析

论述了作物需水量的概念及其计算方法，利用最新的气候和作物资料，计算了我国春玉米的作物需水量，分析其时空分布特征，并利用水发订正系来评价春玉米需水量的满足程度。计算分析结果表明，气候条件对我国在玉米生产是有利的，但在播种期、出苗期及拔节期（4－6月份），存在明显的水亏缺现象，这一时期应采取相应的栽培技术及节水灌溉、人工增雨等措施来缓解旱情。     

干旱条件下夏玉米耗水分析

根据田间试验结果，分析干旱年份夏玉米不同发育阶段耗水状况，对比了不同日降水量对玉米田3米剖面的水分分布状况的影响，讨论了土壤失熵过程中的不同深度的水分的变化以及土壤水对玉米干物质积累的影响，为干旱年份玉米水分的科学管理提供依据。     

A meta-analysis of global crop water productivity of three leading world crops (wheat,corn, and rice) in the irrigated areas over three decades

ABSTRACT

The overarching goal of this study was to perform a comprehensive meta-analysis of irrigated agricultural Crop Water Productivity (CWP) of the world’s three leading crops: wheat, corn, and rice based on three decades of remote sensing and non-remote sensing-based studies. Overall, CWP data from 148 crop growing study sites (60 wheat, 43 corn, and 45 rice) spread across the world were gathered from published articles spanning 31 different countries. There was overwhelming evidence of a significant increase in CWP with an increase in latitude for predominately northern hemisphere datasets. For example, corn grown in latitude 40–50° had much higher mean CWP (2.45?kg/m³) compared to mean CWP of corn grown in other latitudes such as 30–40° (1.67?kg/m³) or 20–30° (0.94?kg/m³). The same trend existed for wheat and rice as well. For soils, none of the CWP values, for any of the three crops, were statistically different. However, mean CWP in higher latitudes for the same soil was significantly higher than the mean CWP for the same soil in lower latitudes. This applied for all three crops studied. For wheat, the global CWP categories were low (≤0.75?kg/m³), medium (>0.75 to <1.10?kg/m³), and high CWP (≥1.10?kg/m³). For corn the global CWP categories were low (≤1.25?kg/m³), medium (>1.25 to ≤1.75?kg/m³), and high (>1.75?kg/m³). For rice the global CWP categories were low (≤0.70?kg/m³), medium (>0.70 to ≤1.25?kg/m³), and high (>1.25?kg/m³). USA and China are the only two countries that have consistently high CWP for wheat, corn, and rice. Australia and India have medium CWP for wheat and rice. India’s corn, however, has low CWP. Egypt, Turkey, Netherlands, Mexico, and Israel have high CWP for wheat. Romania, Argentina, and Hungary have high CWP for corn, and Philippines has high CWP for rice. All other countries have either low or medium CWP for all three crops. Based on data in this study, the highest consumers of water for crop production also have the most potential for water savings. These countries are USA, India, and China for wheat; USA, China, and Brazil for corn; India, China, and Pakistan for rice. For example, even just a 10% increase in CWP of wheat grown in India can save 6974 billion liters of water. This is equivalent to creating 6974 lakes each of 100?m³ in volume that leads to many benefits such as acting as ‘water banks’ for lean season, recreation, and numerous ecological services. This study establishes the volume of water that can be saved for each crop in each country when there is an increase in CWP by 10%, 20%, and 30%.