玉米产量性状主基因-多基因遗传效应的初步研究

利用主基因 -多基因遗传模型 ,以玉米杂交组合农大 3138的P1,P2 ,F1和F2∶3 家系为材料 ,联合分析了玉米产量性状的遗传效应。结果表明 :穗长、穗粗、穗重和单株粒重是由多基因模型控制 ;行粒数和千粒重检测到 1对完全显性主基因 ,穗行数和秃顶长存在 2对主效基因 ,而且穗行数的 2对主效基因之间存在互作效应。同时对不同方法计算出来的遗传率作了比较 ,认为存在主效基因的性状遗传率偏低的原因是由于基因的显性作用所致。讨论了不同产量性状的育种对策     

基于生理发育时间的棉花生育期模拟模型

棉花生育期模拟是研究棉花生长与环境因子关系的重要内容。通过分析春播中(中早)熟常规棉、中(中早)熟转基因抗虫棉和夏播早熟短季棉三种类型16个品种(系)的生育期与环境因素的动态关系,建立了以棉花生理发育时间(PDT)为基础的棉花生育期模拟模型。模型考虑了热效应、光周期效应、品种早熟性及地膜覆盖地积温对气积温的补偿效应。利用不同年份、生态区、基因型品种、栽培措施的试验资料对模型进行了检验,结果表明不同品种生育期模拟值与观测值的符合度较好,各生育进程的RMSE在1.4～4.9d。模型既有较强的机理性,又有较好的适用性。     

栽培因子对棉花烂铃影响的数学模型研究

试验采用二次正交旋转组合设计，对安徽沿江棉区棉花的移栽密度、施氮量、施磷钾肥量、去早蕾数及喷缩节安量与棉花烂铃的关系进行了定性定量的研究，建立了棉花烂铃率和烂铃指数对５项栽培因子反应的数学模型，并对模型进行检验和解析。结果表明，模型极显著，并与实际相吻合，５项栽培因子对棉花烂铃存在显著或极显著的影响，同时因子间存在着互作效应。此模型可作为近似气候年份棉花烂铃的预测模式。     

无架豇豆种子高产栽培技术方案研究

采用二次回归正交旋转设计方法，经过计算机计算，建立了播期、密度和矮壮素施用量等3项栽培技术与美国无架豇豆产量的数学模型并通过模拟寻优，筛选出每公顷产量2140～2650kg的综合技术优化组合方案。     

基于遥感技术的气象因素变化影响水稻单产定量研究

以黑龙江省五常市为研究区域，应用在水稻移栽期至成熟期选择的系列MODIS影像反演NDVI，通过NDVI间接反演LAI，并逐日拟合水稻全生育期的LAI，结合SIMRIW模型，计算研究区域2006年低温影响下的水稻单产。经演算，水稻单产值为5411．74kg／hm^2，是实际值的84％。研究结果表明应用高时间分辨率MODIS图像能够准确反演并拟合逐日LAI，可以为冷害影响下水稻单产的研究提供参考。     

COMPUTER ANIMATED DISPLAY AND ITS APPLICATION IN MODAL ANALYSIS

This paper expounds a method of realizing animated display of structure model by computer animation at the request of test model analysis. The following problem have been discussed. They are the construction of structural geometric model,data processing and interchanging, two dimensional graphical display of three dimensional structure and the generation of computer animation.     

从天冬-玉米的示范种植探讨"粮-药间套"增益模式

采用天冬单作、玉米单作和天冬-玉米套作3种种植模式,考查了整个生产过程中其主要生产资料和劳动力的投入以及产值等关键指标.对不同种植模式的经济效益对比分析结果表明,天冬-玉米套作比天冬单作增收21.8%,比玉米单作增收564.9%.天冬单作虽比玉米单作增收446.0%,但天冬种植三年后才能收获药材,没有短期收益.因此,3种模式中天冬-玉米套作的效果最佳.这一研究结果为种植业提供了一条"粮-药间套"的有效增益模式.     

混凝土拉压强度尺寸效应的细观非均质机理

为了从材料细观非均质角度揭示混凝土强度尺寸效应机理,建立了混凝土细观单元等效非均质力学模型,开展了立方体抗拉、抗压强度尺寸效应细观数值模拟研究。研究结果表明：混凝土强度尺寸效应根源于材料细观非均质性,随着模型尺寸的增加,混凝土材料细观单元弹性模量变异系数增大,材料细观非均质性增强,大尺寸模型内部存在更多的低强度单元或缺陷,导致混凝土立方体抗拉、抗压强度降低,极限应变减小,脆性增大;混凝土损伤破坏由少量集中区域,发散扩展形成多条非贯通的裂纹带;数值模拟结果与尺寸效应实验数据相吻合。     

Modelling Biomass Accumulation and Partitioning in Chickpea (Cicer arietinum L.)

Quantitative information regarding biomass accumulation and partitioning in chickpea (Cicer arietinum L.) is limited or inconclusive. The objective of this study was to obtain baseline values for extinction coefficient (K_S), radiation use efficiency (RUE, g MJ^?1) and biomass partitioning coefficients of chickpea crops grown under well‐watered conditions. The stability of these parameters during the crop life cycle and under different environmental and growth conditions, caused by season and sowing date and density, were also evaluated. Two field experiments, each with three sowing dates and four plant densities, were conducted during 2002–2004. Crop leaf area index, light interception and crop biomass were measured between emergence and maturity. A K_S value of 0.5 was obtained. An average RUE of 1 g MJ^?1 was obtained. Plant density had no effect on RUE, but some effects of temperature were detected. There was no effect of solar radiation or vapour pressure deficit on RUE when RUE values were corrected for the effect of temperature. RUE was constant during the whole crop cycle. A biphasic pattern was found for biomass partitioning between leaves and stems before first‐seed stage. At lower levels of total dry matter, 54 % of biomass produced was allocated to leaves, but at higher levels of total dry matter, i.e. under favourable and prolonged conditions for vegetative growth, this portion decreased to 28 %. During the period from first‐pod to first‐seed, 60 % of biomass produced went to stems, 27 % to pods and 13 % to leaves. During the period from first‐seed to maturity, 83 % of biomass was partitioned to pods. It was concluded that using fixed partitioning coefficients after first‐seed are not as effective as they are before this stage. Environmental conditions (temperature and solar radiation) and plant density did not affect partitioning of biomass.