小麦4B染色体上LOX基因的等位变异及其区域分布

为了解中国不同麦区小麦种质资源籽粒脂肪氧化酶（lipoxygenase,LOX）活性相关基因TaLox-B1的差异和分布,利用小麦4B染色体上的功能标记LOX16和LOX18对7个麦区的436份种质资源进行分子检测。结果表明：在供试材料中共检测到3种TaLox-B1基因等位变异类型,分别为TaLox-B1a（与高LOX活性相关)、TaLox-B1b（与低LOX活性相关）和杂合型,其频率分别为19.0％、70.4％和10.6％。小麦LOX活性基因不同变异类型在各生态区的分布存在明显差异：基因型TaLox-B1a在黄淮冬麦区、北部冬麦区和长江中下游冬麦区分布较多,其比例分别为21.1%、19.8%和17.6%;基因型TaLox-B1b在西南冬麦区和长江中下游冬麦区分布较多,比例分别为87.9%、72.5%;杂合型仅存在于北部冬麦区、黄淮冬麦区与长江中下游冬麦区,比例分别为14.2%、12.4%和9.8%。利用标记LOX16和LOX18对53个自选高代品系进行分子检测,发现自选品系仅有TaLox-B1b与杂合型两种基因型,其中基因型TaLox-B1ab有32个,比例为60.4%。采用分子标记辅助选择,有利于快速鉴定小麦籽粒LOX活性,加速LOX的遗传改良和新品种选育。     

紫花槭秋季叶色表达转录组初步分析

为了丰富紫花槭转录组数据,进一步开展紫花槭秋季叶片呈色机制研究.本研究以紫花槭秋季转色期三个阶段(前期,中期,后期)叶片为材料,采用高通量测序技术进行转录组初步分析.转录组数据共获得50501条Unigene,有35316条Unigene在数据库中得到注释,其中NR数据库中注释到的Unigene数量最多,共35024条,占69.4％.在注释到的物种中,紫花槭比对的Unigene与甜橙(Citrus sinensis)相似度最高,共有4290条,占12.25％.紫花槭转录组中的Unigene根据GO功能可分为生物学过程、细胞组分和分子功能3大类,共有25375条,其中生物学过程的基因最多,主要聚集于代谢过程和细胞过程等.基于Unigene库的基因结构分析,其中SSR分析共获得12711个SSR标记,占Unigene总数的36％.SSR位点共包含150种重复基元,单碱基重复所占比例最高(7184个,61.86％),四碱基重复、五碱基重复和六碱基重复所占比例较低.Unigene库中共有328239个SNP位点,发生频率为1/190 bp,SNP位点分为转换和颠换两种类型的碱基替换方式,其中碱基转换位点213787个(65.13％),碱基颠换位点114452个(34.87％),碱基转换类型发生频率高于颠换类型.6种单碱基变异中,2种转换类型A/G、C/T的发生频率分别为33.03％和32.10％;4种颠换类型中A/T发生频率最高,为11.52％;C/G发生频率最低,为5.79％.紫花槭转录组秋季叶色表达的转录组分析,可为紫花槭叶色基因调控、定向分子育种和培育彩叶新品种提供研究提供基础的数据信息.     

杆件局部失稳对钢桁架拱桥整体稳定性的影响

以某城市钢桁架拱桥为研究对象,采用板单元、梁单元、桁架单元等模拟整体有限元模型,分析钢桁架拱桥局部杆件弹塑性稳定性的特征值;通过改变风撑、斜撑、拱肋、吊杆数量及拱肋的刚度和矢跨比等参数,分析成桥状态下局部稳定性对钢桁架拱桥整体稳定性的影响.结果表明:①经计算结构的失稳临界值,杆件局部失稳是钢桁架拱桥失稳的主要影响因素,局部杆件受力能较好地反映结构稳定性承载力.②增加风撑结构的数量可以显著提高结构的稳定性;但当风撑数量足够时,继续增加风撑结构的数量,结构的稳定性并不能得到很大的提高;斜撑的设置对整体稳定性有很大的影响,特别是"K"和"X"斜撑对结构稳定性的影响非常显著.③风撑和拱肋刚度变化对结构的稳定性影响较为显著,吊杆刚度变化对结构的稳定性影响不大.④当矢跨比为1.0/4.0～1.0/5.0时,失稳位置出现在风撑位置;矢跨比为1.0/5.5～1.0/6.0时,失稳位置出现在拱肋弦杆位置;矢跨比主要通过影响局部位置杆件的受力状态影响结构整体的稳定性.     

Assessment of potassium speciation in soil using traditional single leaching and modified sequential extraction processes

Purpose

The bioavailability of potassium (K) depends on its speciation distribution in the soil. Different methods are commonly used to estimate K speciation including traditional single leaching (TSL) and sequential extraction process (SEP). However, K speciation is largely affected by soil pretreatment methods. The effects of both TSL and SEP soil pretreatment methods were evaluated.

Materials and methods

The TSL method classifies K speciation content based on bioavailability, while the SEP classifies the metal speciation based on the effects of environmental conditions. These two methods, together with a modified sequential single leaching (SSL) scheme, were used to evaluate five types of soil including soil without potassium fertilization, soil with long-term K fertilization, alkaline soil, red soil, and forest soil. The soil samples were gathered randomly at depths varying up to 30 cm before being dried in air at room temperature. The samples were then ground and mixed before passing through a sieve (10 mesh or 100 mesh) in order to perform K speciation analysis via the modified SSL technique, the TSL method, and the four schemes of SEP.

Results and discussion

Soil pretreatment influenced K speciation, with higher concentration in soil samples sieved through 100 mesh than through 10 mesh. In alkaline soil, potassium was observed to be associated with carbonate. For the various SEP schemes, K speciation was found to be greatest in the residual fraction, with only 3% observed in the carbonate, exchangeable, metal organic complex, or amorphous hydroxides of Fe or Mn. After following the first two steps of the SEP schemes, the available K was similar to that of the TSL method. Distribution of non-exchangeable K using the TSL method was comparable with the five combined SEP extraction steps which were all affected by environmental conditions.

Conclusions

Pretreatment affected K speciation distribution and total amount of metal in the soil. The 100 mesh sieve was more effective in estimating K soil speciation. The SEP method was acceptable for estimating K speciation, with the Krishnamurti et al. (Analyst 120:659–665, 1995) scheme as a useful appraisal of K bioavailability. Combination analyses using both TSL and SEP methods are useful techniques to enable a better understanding of K speciation transformation in soil.

     

地膜覆盖时间对新疆棉田水热及棉花耗水和产量的影响

该文主要研究不同的地膜覆盖时间对棉田水热及棉花产量的影响。设置了6个地膜覆盖时间:40 d(J1)、55 d(J2)、70 d(J3)、85 d(J4)、100 d(J5)和140 d(全生育期覆盖,CK),2016和2017年在阿克苏绿洲典型滴灌棉田进行田间试验,分析不同地膜覆盖时间对土壤温度、土壤水分、耗水量(crop evapotranspiration,ET_c)、产量、水分利用效率(water use efficiency,WUE)的影响。结果表明,不同地膜覆盖时间可影响土壤水热状况。随着地膜覆盖时间延长,0～80 cm土层含水率逐渐增加,ET_c持续降低,WUE呈增加趋势,但超过100 d后对ET_c及WUE无显著影响。J1、J2、J3和J4处理在揭除膜后,土壤含水率迅速降低,土壤深层水快速消耗,进入铃期后处理间差异才逐步开始缩小。地膜覆盖时间小于100 d会显著减少单株成铃数,降低单铃质量,最终造成减产。J1～J5覆盖时间中,J5处理产量(2 a平均为6 800 kg/hm~2)和WUE(2 a平均为11.5 kg/(hm~2·mm))最高(P0.05),且J5与CK差异不显著(P0.05),可见,地膜覆盖100 d较适宜。该研究结果可为绿洲棉区合理地使用地膜提供科学依据,也为残膜回收及降解地膜的安全应用提供理论支持。     

单旋翼油动无人施药直升机悬停状态下风场下洗气流分布规律研究

无人施药直升机,具有机动灵活、无需专用起降场地、对飞行空域要求低等优点,在我国航空植保中已经初步得到应用。相关文献中通过实验证明,单旋翼无人直升机施药装备进行水稻、玉米等病虫害的防治,在旋翼产生的下洗气流的辅助作用下,药液的沉积率和穿透率都大大提高,尤其是在水稻生长分蘖期和玉米生长穗期(封行)以后,防效优于常规地面机具。风场的有效覆盖范围、下洗气流风速的大小,对机载施药装备的装配布局以及施药效果有着直接的影响。该文采用计算流体力学(computational fluid dynamics,CFD),对油动单旋翼直升机悬停状态时5、6、7m高度下的旋翼所产生的风场进行了模拟分析,重点研究了风场中对农药喷洒作业过程中主要影响雾滴沉积分布的下洗气流分布规律,并设计了一套农用无人机风场测量装备,并以单旋翼油动无人机为测试对象,对旋翼产生的风场进行了测试验证。试验中,将无人机升至距离地面5、6和7m,采用"米-环形放射状布点法",纵向(Z轴向)、径向(从原点O至与Z轴垂直面上的测量点)均以主旋翼中轴和地面相交处为圆心、0.5m为一步长,径向以45°夹角分隔测量8个方向,垂直向和径向布置测量点,测量范围以主旋翼中轴为圆心、旋翼旋转覆盖面为主。以5m高度时风场下洗气流风速数据为例进行了充分讨论,模拟结果和试验测量结果显示:随着高度的增大同一纵向剖面上风速变化总体趋势是由大变小再迅速变大,并在1m左右高度处出现下洗气流风速极小值区间,在2m左右高度处出现下洗气流风速值极大值区间;随着径向距离的增加同一径向上风速变化总体趋势是先由小变大,再由大变小,下洗气流最大测量值为11.37m/s,风速值较大区间为径向0.5~1.5m之间;接近地面(高度0.5m处)的风速变化规律不明显。对8个方向5个测量高度的试验数据进行标准差对比,结果表明标准差总体不大于0.6m/s;以测量数据为依据,计算了模拟数据与测量数据间的误差,结果表明整体最大相对误差限介于0.3~0.7之间,验证了模拟数据的可信度;结合模拟数据和实验测量数据,采用高次多项式拟合,测量高度超过1m以上时,多项式拟合决定系数R2达到或超过0.75,说明拟合方程具有参考价值,0.5m以下测量高度,多项式拟合决定系数R2值较小,介于0.4~0.7之间不等。研究将为单旋翼无人机航空施药提供优化依据。     

作物化感品种对农田杂草的调控

农田施用大量除草剂不仅引起环境和生态问题,而且导致除草剂抗性杂草不断发生。因此,需要建立生态安全的杂草管理策略以改变杂草控制对除草剂依赖的现状。利用作物化感品种调控农田杂草是极具开发潜力的杂草控制策略,这些作物化感品种自身能够产生和释放化感物质调控杂草,从而减少对人工除草剂的依赖。鉴于此,近10余年来,以作物化感品种为中心的农田杂草控制策略一直得到广泛的关注和研发。本文综述了作物化感品种调控农田杂草和相应抑草机制的最新进展,尤其是可商业化种植的作物化感新品种选育及其在除草剂减量控制杂草的实践。在此基础上,阐释了作物化感品种间亲属合作行为以及基于化感物质的新型除草剂研发对解决农田杂草难题的机遇和挑战。     

The impact of successive mass selection on population genetic structure in the Pacific oyster (<Emphasis Type="Italic">Crassostrea gigas</Emphasis>) revealed by microsatellite markers

To evaluate the impact of mass selection on genetic structure in artificially closed populations of the Pacific oyster Crassostrea gigas, we performed mass selection over six generations on two stocks from Japan and Korea and analyzed their temporal genetic variation and structure using 18 microsatellite makers, which were compared with the base populations of the two selected lines and one wild population from China. The average numbers of alleles (Na), mean observed heterozygosities (Ho), and expected heterozygosities (He) varied over generations in the two selected lines (selected lines of Japan, Na = 10.7–14.9, Ho = 0.757–0.846, He = 0.778–0.871; selected lines of Korea, Na = 9.4–17.3, Ho = 0.736–0.865, He = 0.744–0.854). There was no significant reduction in heterozygosity in the two selected lines. However, the average number of alleles per locus was significantly lower in the fifth and sixth generations of the two selected lines compared with that in the base population and wild population (P < 0.05), suggesting that the successive mass selection in closed populations may increase the sensibility of rare alleles to genetic drift. Equalizing the sex ratio of parents and reducing the selection intensity properly with the increase of selective generations is recommended to minimize the deleterious effect of genetic drift and bottleneck caused by successive mass selection. The information obtained in this study is useful for the design of appropriate management strategies for selective breeding of C. gigas.