Mass selection for kernel depth in early maize

Summary Effectiveness of mass selection for kernel depth in an early maize (Zea mays L.) synthetic, i.e. NDSAB, was evaluated in eight North Dakato environments. Four cycles of selection for deeper kernels were evaluated for grain yield and associated traits by using corresponding randomly selected subpopulations of NDSAB to adjust out inbreeding effects on selected subpopulations. General combining ability (GCA) effects of selected subpopulations also were evaluated for these traits.Subpopulations selected from one to four cycles for deep kernels were reciprocally crossed to corresponding randomly selected subpopulations in a factorial mating design. Subpopulations, selfed subpopulations, and subpopulation crosses were evaluated for yield and associated traits. Subpopulations selected for deep kernels generally had deeper kernels, higher yields, heavier kernels, more kernel rows per ear, and lower test weights than corresponding randomly selected subpopulations. Differences in GCA effects among selected and unselected subpopulations generally corresponded to differences between selected and unselected parental subpopulations. Inbreeding effects from selfing were observed for all traits, but no average heterosis was detected when subpopulation crosses were compared to parental subpopulations. Reciprocal differences were observed for all traits except kernel depth, but these differences were inconsistent relative to whether deep kerneled females made superior hybrids to unselected females.Results supported the use of mass selection for kernel depth as a means of grain yield improvement in the short term for NDSAB. However, negative associations of kernel depth with test weight may restrict long term use of this procedure.Journal Article No. 1505 of the North Dakota Agric. Exp. Stn., Fargo     

Selection for Seed Yield in Lolium perenne L.*

Components of seed yield were estimated for each set of 100 plants derived from six varieties of Lolium perenne. Significant differences between the varieties were found for all components of seed yield, but the range was broader within each variety. An indirect selection of seed yield using the character seeds per spike produced a selection response similar to that obtained by direct selection on high seed yield per plant. A direct and indirect selection of characters estimated in small, drilled plots of topcross off-springs (F₁) was less successful than the selection based on the single plants. Spearman rank correlation coefficients between the single plants and their offsprings did not show significant agreement for seed yield. But altogether the results indicated that the increase of seed yield/area was about 6 % when 10 % of the best plants were selected.     

蛋白质3D食品打印研究进展

综述了3D食品打印(Three-dimensional food printing,3D-FP)的应用及发展,从不同角度探讨了用于3D-FP的蛋白质凝胶形成原理及影响要素,进而总结了蛋白质打印油墨组分间的相互作用以及其对蛋白质凝胶理化特性、打印特性的影响,以期为深入应用凝胶品质调控、创新开发新型蛋白质3D-FP产品提供理论依据。     

区域农业水资源恢复力可变模糊评价模型

区域农业水资源系统是与自然及人类活动紧密联系的复杂适应系统,不断与周围环境发生物质、能量和信息因素方面的交换和作用。以黑龙江省农垦红兴隆管理局12个农场为研究基点,运用主成分-相关分析法筛选评价指标,构建农业水资源恢复力评价指标体系,采用CRITIC法确定指标权重,结合可变模糊模型评价方法对其农业水资源系统恢复力进行评价,并利用ArcGIS技术对其进行分区,结果表明:双鸭山、八五三、北兴和八五二农场的农业水资源恢复力为Ⅱ级,饶河、二九一、五九七、红旗岭、友谊、江川、宝山和曙光的农业水资源恢复力为Ⅲ级。研究成果揭示了当地农业水资源系统力恢复情况,为农业水资源系统恢复力研究提供了一种新的研究模式。     

机械组件的固有可靠寿命研究

简述机械组件的可靠度的概念,比较机械组件与电子元件在可靠度上的不同特点。机械组件可靠度数据采集难度大,应做好机械组件失效分析,以在设计附件提高可靠度。     

汽车悬架控制系统的研究

综述了汽车悬架控制系统的基本类型及其特点,并介绍了它们的发展概况。重点论述了半主动控制和主动控制悬架系统中常用的几种控制方法,对今后的研究方向和发展趋势进行了初步的探讨。     

车辆半主动悬架控制技术的研究

采用自适应模糊控制策略，在对1／4车辆模型性能仿真基础上，设计开发了以8031单片机为主控制器件的半主动悬架自适应模糊控制系统。经测试，在输入一定信号情况下，系统按设计规律工作。测试结果表明，控制器能较好实现系统控制，控制方法有效，且具有良好的鲁棒性，可以显著减小车辆振动及干扰，提高车辆的行驶平顺性。     

灌区湖泊污染主成分分析

在上游污染物排放特性的影响下,位于灌区内的湖泊水环境污染问题必定有其特殊性.以位于我国北方的河套灌区中的草型浅水湖泊乌梁素海为研究对象,将实测的湖泊水质监测数据与空间数据结合,采用基于因子分析的主成分方法将乌梁素海的水质参数概括为7个主成分,即:富营养化特征指标、湖泊盐化特征指标、湖泊有机物污染指标、湖泊形态特征指标、水体酸碱指标、水体藻类生物量指标、植物生长环境指标.分析讨论各主成分的科学内涵以及结合地区特征的湖泊污染机理,为灌区湖泊水体的合理利用与污染的治理提供科学依据.     

Simulation of transpiration, drainage, N uptake, nitrate leaching, and N uptake concentration in tomato grown in open substrate

Free-drainage or “open” substrate system used for vegetable production in greenhouses is associated with appreciable NO₃⁻ leaching losses and drainage volumes. Simulation models of crop N uptake, N leaching, water use and drainage of crops in these systems will be useful for crop and water resource management, and environmental assessment. This work (i) modified the TOMGRO model to simulate N uptake for tomato grown in greenhouses in SE Spain, (ii) modified the PrHo model to simulate transpiration of tomato grown in substrate and (iii) developed an aggregated model combining TOMGRO and PrHo to calculate N uptake concentrations and drainage NO₃⁻ concentration. The component models simulate NO₃⁻-N leached by subtracting simulated N uptake from measured applied N, and drainage by subtracting simulated transpiration from measured irrigation. Three tomato crops grown sequentially in free-draining rock wool in a plastic greenhouse were used for calibration and validation. Measured daily transpiration was determined by the water balance method from daily measurements of irrigation and drainage. Measured N uptake was determined by N balance, using data of volumes and of concentrations of NO₃⁻ and NH₄⁺ in applied nutrient solution and drainage. Accuracy of the two modified component models and aggregated model was assessed by comparing simulated to measured values using linear regression analysis, comparison of slope and intercept values of regression equations, and root mean squared error (RMSE) values. For the three crops, the modified TOMGRO provided accurate simulations of cumulative crop N uptake, (RMSE = 6.4, 1.9 and 2.6% of total N uptake) and NO₃⁻-N leached (RMSE = 11.0, 10.3, and 6.1% of total NO₃⁻-N leached). The modified PrHo provided accurate simulation of cumulative transpiration (RMSE = 4.3, 1.7 and 2.4% of total transpiration) and cumulative drainage (RMSE = 13.8, 6.9, 7.4% of total drainage). For the four cumulative parameters, slopes and intercepts of the linear regressions were mostly not statistically significant (P < 0.05) from one and zero, respectively, and coefficient of determination (r²) values were 0.96-0.98. Simulated values of total drainage volumes for the three crops were +21, +1 and −13% of measured total drainage volumes. The aggregated TOMGRO-PrHo model generally provided accurate simulation of crop N uptake concentration after 30-40 days of transplanting, with an average RMSE of approximately 2 mmol L⁻¹. Simulated values of average NO₃⁻ concentration in drainage, obtained with the aggregated model, were −7, +18 and +31% of measured values.     

保护性耕作模式对黑土有机碳含量和密度的影响

以公主岭市长期（10 a）保护性耕作定位试验为研究对象,分析与传统耕作模式相比的几种保护性耕作模式对黑土固碳效应的影响。共设4种耕作模式,即秋翻秋耙匀垄、秋灭茬匀垄、全面旋耕深松和宽窄行交替休闲（又叫松带、苗带交替休闲）（后3种视为保护性耕作）。结果表明,经过10 a的耕作试验,不同的耕作模式对土壤有机碳有显著的影响。表层0～20 cm秋翻秋耙匀垄和秋灭茬匀垄模式的土壤有机碳含量最低,深层30～50 cm全面旋耕深松模式的土壤有机碳质量分数显著低于其他耕作模式13.49%～25.14%;0～50 cm耕层