灰色关联分析在草坪草引选评价上的应用

根据灰色理论和应用数列间的相似程度来判断两个系统或系统中的两个因素之间关联程度的原理，在对引进的３个草坪草种（１４个品种）多种性状观测及分析的基础上，计算求得各性状的关联系数ε１（ｋ）及关联度γｉ，综合评价各引选品种，由定性评价转为定量评价。结果表明，在贺兰山东麓地区，表现较好的草坪草种有：草地早熟禾类的瓦巴斯、菲尔京、纳苏、爱肯尼４个品种：紫羊茅中的巴可紫羊茅、高羊茅中的梯坡，巴法７８５１两个品     

Analysis of Genetic Diversity in Barley Cultivars Reveals Incongruence Between S-SAP,SNP and Pedigree Data

Accurate assessment of genetic similarity is important for plant breeding, germplasm enhancement and conservation of plant genetic resources. A comparative analysis of genome diversity among a group of six-rowed spring barley (Hordeum vulgare L.) cultivars was carried out using sequence-specific amplified polymorphism (S-SAP) and single nucleotide polymorphism (SNP), with the results compared to the kinship coefficients derived from the pedigree data. Mean pair-wise GS values were estimated to be 0.0957 ± 0.144 (Kinship), 0.491 ± 0.189 (SNPs), and 0.602 ± 0.098 (S-SAPs). S-SAP and SNP-based genetic similarity (GS) values were normally distributed but kinship values had a non-normal and skewed distribution. Pair-wise correlation of GS values were lowest for the S-SAP and the SNP matrices (r =; 0.040, p<0.230) and highest for the SNP and pedigree matrices (r =; 0.240, p < 0.001). Analysis of molecular variance (AMOVA) attributed about 90.4% of observed variation to the cultivars within each of the malting and feed groups. Variance component between malting and feed groups was 6.6% for both SNP and S-SAP data suggesting lack of a significant genetic differentiation along this agronomic division. The remaining 3% of variation was attributed to genetic diversity within cultivars. Although both DNA-based marker systems were able to differentiate all barley cultivars, significant difference were observed in the pattern of genetic relationships obtained by the two marker systems and the pedigree data.     

油菜抗倒伏测试风洞关键部件仿真与试验

为解决现有油菜抗倒伏品种选育周期长、难度大等问题，依托计算流体力学软件Fluent建立油菜抗倒伏测试风洞模型，对风洞扩散段、稳定段、收缩段等关键部位进行参数设计及仿真试验，分析该模型对风洞流场品质的影响，最终通过正交试验选择最佳设计方案。结果显示，单因素试验中，收缩段长度Lc增加，风洞出口风速变异系数增加，气流品质下降；随稳定段长度Lw增加，风洞出口风速变异系数先减小后增加，稳定段长度1 000 mm时，风速变异系数最低，气流品质最佳；阻尼网距稳定段出口长度增加，风洞出口风速变异系数先降低后增加，阻尼网距稳定段出口0.65Lw时，风速变异系数最小。正交试验结果显示，收缩段长度600 mm、稳定段800 mm、阻尼网距风洞出口0.65Lw时，对应风洞试验区风速平均变异系数为0.139，风速较其他方案更稳定，气流品质最佳。实测验证发现，与仿真结果相比，实测风速大小无明显差别，且实测结果中各截面风速变异系数略优于仿真值，整体仿真结果与实测效果拟合较好。     

旱地小麦品种七性状对产量影响的初探

据分析，旱地小麦品种的生育期、每公顷最高茎数、容重与产量的相关性较强；穗粒数和千粒重是影响小麦产量的关键因素，两者与产量的直接通径系数分别为9．568165和9．949188；旱地小麦穗粒数和千粒重的负相关性较强，协调两者的关系是该区小麦育种的关键。     

不同水肥模式的水稻叶面积修正系数试验研究

叶面积修正系数直接决定着长宽修正系数法测量叶面积的精确程度.为探讨水肥模式对水稻叶面积修正系数的影响,基于水稻实测叶面积及叶片长、宽数据计算叶面积修正系数,并分析其变化规律.结果表明,各处理生育前期水稻叶面积修正系数接近或超过经验值0.75,中期较小,抽穗开花期略有上升并稳定至0.7左右.常规灌溉处理上层叶片叶面积修正系数较控制灌溉大,叶片更加细长.不同肥料处理中,控释肥处理叶面积修正系数普遍偏低;常规肥及实地肥处理在生育前期可以采用经验值进行叶面积计算;抽穗开花及以后各生育期,各处理均可采用相同的叶面积修正系数;生育中期各处理叶面积修正系数较低.     

L—C经典破产模型的推广及应用

在L—C破产模型的基础上，建立了多险种破产模型，扩展了应用范围，提出了保证破产概率不大于α时初始资本u的一个很好的分配方案．     

Irrigation Scheduling and Watermelon Yield Model for the Jordan Valley

A crop yield and soil water management simulation model (CRPSM) developed at Utah State University was modified, calibrated and tested using local weather data and field results from a trickle irrigation experiment with different mulching on watermelon ( Citrullus lanatus ), carried out at the University of Jordan Research Station, in the Jordan Valley.
Simulated irrigation schedules were then applied with some of the four options provided by the model. The water yield index, WYI, introduced by B attikhi and H ill (1985) to select the most efficient schedule as based on yield and water use efficiency, was then determined. WYI ranged from 27 to 87. The field schedule, WM₂, had a WYI of 62. Whereas, the model provided a much better schedule, WM₇ (WYI = 86). WM₇ requires 17 irrigations of 2.0 cm per irrigation totaling a water supply of 44.1 cm with an irrigation season starting on April 7 to give a yield equivalent to the potential yield, 80.0 MT/ha. On the other hand, the best field schedule, WM₂ under transparent mulch, required 14 irrigations to provide 45.9 cm (including rainfall and soil moisture change), with a season starting on April 28 resulted in a yield of 68.8 MT/ha. So we can see that by using the same amounts of total water supply but with different schedule we can get the potential yield. The model has, therefore, provided few better schedules that can be tested in the field at lower costs before final recommendations are made.     

三尖杉属植物的同工酶分析

采用垂直板型不连续聚丙烯酰氨凝胶电泳和水平淀粉凝胶电泳技术对三尖杉属植物粗榧、高山三尖杉、篦子三尖杉进行了同工酶实验。结果获得天冬氨酸转酶(AAT)、谷氨酸脱氢酶(GDH)、葡萄糖6—磷酸脱氢酶(G6PD)、酯酶(EST)和苹果酸脱氢酶(MDH)等5种同工酶的酶谱。酶谱的相似性系数及聚类分析结果表明,粗榧和高山三尖杉酶谱具有较高的相似性,达81．5％,而二者与篦子三尖杉的相似性系数较低,仅为59．3％和50．0％。     

中国草芦对土壤营养吸收的效率(英文)

中国草芦(Phalaris arunainacea L.)是禾本科草芦属多年生根茎型优良禾草。对其进行N、P、K、NP、NK、PK、NPK、CK八个处理,在分蘖期采用M.K.Ka提出的公式测定中国草芦对土壤及肥料中N、P、K三元素的吸收和利用系数,并测定植物粗蛋白质和粗脂肪的含量,成熟期测定鲜草、干草产量和种子产量,结果表明:中国草芦对土壤中N的吸收系数(Kn%)以PK处理最高为12.36,K处理降低。对肥料中N的利用系数(Ky%)以NPK处理为最高(14.78),所有处理均高于对照。对土壤中P的吸收系数Kn%以NK处理最高为19.30,K处理的降低。对肥料中P的利用系数Ky%,以NP最高为19.52,所有处理均比CK高,对土壤中K的吸收系数Kn%以NP处理最高,为19.2,单一的P处理最低,对肥料中K的利用系数Ky%以NPK处理最高,为28.44。鲜草和干草产量以NP处理最高,且所有处理均高于对照。种子产量及粗蛋白质含量以NK处理最高,粗脂肪含量以NK、N处理最高,本实验说明中国草芦进行人工栽培后,施用一定比例的肥料,可以提高肥料的利用效率,提高产量的品质。     

DETERMINATION OF STATIC AND DYNAMIC DIFFUSION COEFFICIENTS OF MOISTURE IN PARTICLEBOARDS

The static and dynamic diffusion coefficients are important coefficients todescribe the moisture transfer processes in particleboard.In this paper,the formula ofculculating the static and dynamic diffusion coefficients were deduced.At first,the staticdiffusion coefficients of four kinds of particleboards were determined by using diffusion cupmethod.The results demonstrated that the static diffusion coefficients parallel to panelsurface were 10-20 times as large as that of perpendicular to panel surface for test boards.To determine both dynamic diffusion coefficients and surface emission coefficients ofmoisture in particleboards in one experimental period,specimens in four different thickness-es of each kind of particleboard were used in the experiment.Then the method ofregression was used and the dynamic diffusion coefficients and surface emission coefficien-ts were determined based on the slope and intercept of the regressive line.