科研院所制度建设与思考 ——以中国热带农业科学院椰子研究所为例

制度建设是科研院所提升科技创新能力、推进成果转化应用、开展科技服务的重要保障.文章重点介绍了中国热带农业科学院椰子研究所制度建设的经验和做法,并结合科研院所实际,从制度建设的方法、程序、执行等方面提出了加强科研院所制度建设的建议.     

基于Cruise的纯电动汽车的参数匹配与仿真

对某款纯电动汽车的驱动电机参数、传动系统参数、电池组参数等进行参数匹配选型,并借助汽车仿真软件AVL Cruise(Cruise是一款在业界功能最强大、最稳定,适用性最广的整车和传动系统性能分析的仿真工具)进行动力性能仿真分析。经过仿真验证之后,该参数匹配过程正确,动力性能达到设计的要求。     

玉米新品种江单10的选育及丰产增效栽培技术要点

江单10是黑龙江省农业科学院玉米研究所以自育自交系HRH2052为母本、HRL316为父本组配的玉米杂交种,2019年通过黑龙江省农作物品种审定委员会审定,审定编号:黑审玉20190020。该品种具有早熟、稳产、容重高、抗逆性强等优点,适宜在黑龙江省≥10℃活动积温2550℃区域种植。对该品种选育过程、特征特性及丰产增效栽培技术要点进行简述,旨在为加快产业化进程、扩大推广应用提供技术支撑。     

基于改进极限学习机的水体溶解氧预测方法

为了有效地指导水产养殖生产，提高溶解氧浓度预测的精度，提出了基于因子筛选和改进极限学习机（Extreme Learning Machine，ELM）的水产养殖溶解氧预测模型。首先，利用皮尔森相关系数法计算各影响因子与溶解氧浓度间的相关系数，提取强关联因子，降低预测模型的输入量维度；采用偏最小二乘算法（Partial Least Square, PLS）优化传统ELM神经网络，避免网络中隐含层共线性问题，保障输出权值的稳定性；然后，结合新型激活函数，构建水体溶解氧浓度预测模型。最后，将SPLS-ELM（Selection Based Partial Least Square Optimized Extreme Learning Machine）预测模型应用到江苏省无锡市南泉基地某试验池塘的水体溶解氧预测中。试验结果表明：该模型的预测均方根误差为0.3232，与最小二乘支持向量机（Least Square Support Vector Machine，LSSVM）、BP神经网络、粒子群（Particle Swarm Optimization，PSO）优化LSSVM和遗传算法（Genetic Algorithm, GA）优化BP神经网络相比分别降低40.98%、44.48%、34.73%和44.18%。且该模型的运行时间仅0.6231s，预测精度和运行效率明显优于其他模型。该模型的溶解氧预测曲线接近真实溶解氧变化曲线，能够满足水产养殖实际生产对水体溶解氧预测的要求。     

Analysis of the independent-and interactive-photo-thermal effects on soybean flowering

Soybean(Glycine max(L.) Merr.) is a typical short-day and warm season plant, and the interval between emergence and flowering has long been known to be regulated by environmental factors, primarily photoperiod and temperature. While the effects of photoperiod and temperature on soybean flowering have been extensively studied, a dissection of the component photo-thermal effects has not been documented for Chinese germplasm. Our objective of the current study was to evaluate the independent- and interactive-photo-thermal responses of 71 cultivars from 6 ecotypes spanning the soybean production regions in China. These cultivars were subjected in pot experiments to different temperature regimes by planting in spring(low temperature(LT)) and summer(high temperature(HT)), and integrating with short day(SD, 12 h), natural day(ND, variable day-length), and long day(LD, 16 h) treatments over two years. The duration of the vegetative phase from emergence to first bloom(R1) was recorded, and the photo-thermal response was calculated. The outcome of this characterization led to the following conclusions:(1) There were significant differences in photo-thermal response among the different ecotypes. High-latitude ecotypes were less sensitive to the independent- and interactive-photo-thermal effects than low-latitude ecotypes; and(2) there was an interaction between photoperiod and temperature, with the effect of photoperiod on thermal sensitivity being greater under the LD than the SD condition, and with the effect of temperature on photoperiodic sensitivity being greater under the LT than the HT condition. The strengths and limitations of this study are discussed in terms of implications for current knowledge and future research directions. The study provides better understanding of photo-thermal effects on flowering in soybean genotypes from different ecotypes throughout China and of the implications for their adaptation more broadly.     

Summer drought decreases Leymus chinensis productivity through constraining the bud,tiller and shoot production

Extreme drought events can directly decrease productivity in perennial grasslands. However, for rhizomatous perennial grasses it remains unknown how drought events influence the belowground bud bank which determines future productivity. Ninety‐day‐long drought events imposed on Leymus chinensis, a rhizomatous perennial grass, caused a 41% decrease in the aboveground biomass and a 28% decrease in belowground biomass. Aboveground biomass decreased due to decrease in both the parent and the daughter shoot biomass. The decreases in daughter shoot biomass were due to reductions in both the shoot number and each individual shoot weight. Most importantly, drought decreased the bud bank density by 56%. In addition, drought induced a bud allocation change that decreased by 41% the proportion of buds that developed into shoots and a 41% increase in the buds that developed into rhizomes. Above results were supported by our field experiment with watering treatments. Thus, a 90‐day‐long summer drought event decreases not only current productivity but also future productivity, because the drought reduces the absolute bud number. However, plasticity in plant development does partly compensate for this reduction in bud number by increasing bud development into rhizomes, which increases the relative allocation of buds into future shoots, at the cost of a decrease in current shoots.     

中亚天然气C线管道SPS仿真模拟

中亚天然气C线管道属于典型的输送压力高、流量大、管道跨度大、压气站数目多、输送工艺复杂的输气管道。为研究中亚天然气C线管道正常工况和事故工况下水热力参数的变化规律以及各种事故下管道的自救时间,采用SPS软件建立了中亚天然气C线管道仿真模型。模拟了正常工况下管道全线压力和温度参数,模拟结果与实际运行数据最大相对误差分别为1.90%和12.24%,验证了模型的可靠性;在此基础上分析了环境温度和管道粗糙度变化对全线输气效率的影响规律,确定了各种事故工况下管道最长的自救时间,可为中亚天然气长输管道运行管理提供参考。     

肠道可培养共生菌对橘小实蝇不育雄虫生物学特征的影响

橘小实蝇是一种对果、蔬产业造成严重经济损失的害虫，应用昆虫不育技术（SIT）防治橘小实蝇是一种切实可行的科学手段，但辐照会使不育雄虫受到一定程度的损伤。本研究通过在饲料中添加抗生素对肠道灭菌处理来探究肠道可培养共生菌对橘小实蝇生物学及形态学参数的影响。结果表明，抗生素处理组在不育雄虫的蛹重、逆境存活率以及竞争交配力等均显著低于对照组。另外，抗生素处理组和对照组不育雄虫的存活率曲线图表明处理组不育雄虫的寿命时长显著低于对照组，利用Weibull分布拟合模型判断得知两组橘小实蝇存活率曲线均符合基本模型中的Ⅰ型。本研究为进一步利用肠道可培养共生菌来改善橘小实蝇不育雄虫的生理健康提供理论基础。