植物体铅的亚细胞分布与化学形态特征测定方法改进

为了提高植物体铅的亚细胞分布和化学结合形态特征的测定精度,以铺地黍为研究对象,利用不同提取方法测定其根部铅的分布特征,对重金属提取过程中植物取材质量与提取液体积之间的比例关系进行量化研究,改进重金属提取流程方法。结果显示,在确定植物取材重量时,其研磨后的植物材料体积与提取液总体积之间的比例为1:5时,各化学结合态提取效果比较理想,铅的回收率高达97.69%。铺地黍根部铅亚细胞分布的F2组分电热板消解的最适消煮温度和时间为：在250℃下消煮0.5 h,之后在145℃下消煮2 h的提取效果最佳,其残渣态铅含量约为0 μg/g,整体回收率高达98.38%。改进后的方法提高了测定的精度,节省测定时间,为植物体其他重金属的亚细胞分布和化学结合态测定方法改进提供参考。     

Distribution and diversity of leaf-cutting ants in Northeastern Argentina: species most associated with forest plantations

Abstract

Leaf-cutting ants (LCA) are considered one of the main herbivores and one of the most destructive pest insects of the Neotropics. Northeastern Argentina harbors the greatest species richness of these ants and in turn comprises the highest surface with forest plantations. Our aim was to establish which species of leaf-cutting ants are most commonly associated with forest plantations by analyzing their geographic distribution using published and unpublished species occurrence data. Also, estimate their potential areas of distribution along a latitudinal gradient that entirely encompasses northeastern Argentina using Ecological Niche Modeling. Only seven of the 20 species recorded were strongly associated with productive systems along the gradient, but only 2–3 species in each region could be considered high-risk species for forest plantations. High-risk species composition shows a turnover between regions. Our models show the potential distribution areas where LCA could become more abundant and dominant, and possibly causing a detrimental effect on the forest plantations in the studied region. We find that ecological niche models are useful tools to assess the environmental suitability of important LCA.     

基于CLIMEX和ArcGIS的灰茶尺蠖在中国的潜在适生区预测

基于中国820个气象站点数据、灰茶尺蠖已知地理分布资料和生物学数据,结合CLIMEX模型与ArcGIS软件模拟预测灰茶尺蠖在中国目前及未来的潜在分布范围,评估灰茶尺蠖的潜在分布范围及气候变暖对其分布的潜在影响。结果表明,灰茶尺蠖在中国目前的适生区主要分布在3°51′N~40°6′N,适生区面积占全国总面积的34.27%。中国大部分省份的气候条件均适合灰茶尺蠖种群生长。随着气候的变化,灰茶尺蠖在中国的潜在适生区面积总体增幅不大,但其组成变化较大。至2050年,预测灰茶尺蠖高度适生区面积占比达最大（22.23%）。相比各种能源之间的平衡情景（A1B）,较高能源需求情景（A2）下灰茶尺蠖在陕甘宁地区向内陆扩张更快。灰茶尺蠖在中国适生区分布广泛,应加强灰茶尺蠖预测预报,趁早采取防控措施,以保障茶叶优质安全生产。     

江苏近年育成粳稻新品种/系的稻瘟病抗性基因及穗颈瘟抗性分析

【目的】明确水稻品种携带的抗稻瘟病基育种应用价值,是利用抗病基因培育抗病品种控制病害流行的重要前期工作。【方法】利用功能标记分析了14个抗稻瘟病基因在江苏近年育成的195个粳稻新品种/系中的分布情况,并对其中158个品种和17份携带抗稻瘟病基因Pigm的高世代回交株系进行穗颈瘟接种鉴定。【结果】大多数品种携带2~5个抗病基因,但所有品种均不含有Pigm基因;Pib、Pita和Pikh基因在供试品种中的分布频率较高,均在45%以上,其余基因均在30%以内;Pid3、Pid2、Pia、Pb1在新育成品种中的出现频率明显高于审定品种。测试品种对穗颈瘟的抗性主要与3个基因显著相关,贡献率由高至低依次为Pia、Pi3/5/i和Pita;其中,Pia或Pi3/5/i与Pita间的聚合效应均显著高于各基因单独存在时的抗病效应,且以Pia和Pita间的聚合效应最强,携带该基因组合的所有品种对穗颈瘟均表现抗至高抗水平抗性。回交导入Pigm基因的所有17份株系对穗颈瘟的抗性均显著高于各自轮回亲本,且均达到了抗病以上水平。【结论】抗病基因Pigm及基因组合“Pia+Pita”在江苏粳稻抗穗颈瘟育种中具有重要的育种应用价值。     

玉米果穗不同部位子粒水分动态差异研究

为明确玉米果穗不同部位子粒含水率和脱水速率的动态变化差异,在春玉米区宁夏银川和夏玉米区河南新乡采用8个不同熟期和脱水速率的品种,将玉米果穗垂直等分为5个部位,定期测定不同部位子粒含水率,计算子粒脱水速率。结果表明,玉米生长中后期,果穗上部子粒含水率低于中下部子粒含水率,生理成熟前各部位子粒含水率的差值低于生理成熟后。参试品种生理成熟前20 d时不同部位子粒含水率极差低于3%,成熟期的极差值变幅为0.6%～5.2%,生理成熟后极差最大值可达6.2%。同一果穗自上而下子粒的脱水速率逐渐降低,品种之间有明显差异,先玉335、迪卡517和迪卡519果穗不同部位子粒脱水速率差异较大。果穗中部子粒脱水速率和平均脱水速率与不同部位子粒含水率的极差值呈负相关。     

夏玉米产量时空变化及气候年型分析

定量分析夏玉米同一品种产量及产量构成要素时空变化,探讨造成产量时空差异的气候年型组合变化特征。基于2004～2013年夏玉米种植区郑单958多点田间试验数据分析表明,夏玉米区域平均产量为9 055 kg/hm~2,年际差为1 635 kg/hm~2,变幅为18.1%;地点差4 258 kg/hm~2,变幅为47.1%。夏玉米区域平均千粒重为313 g,年际变幅为13.1%;地点变幅为27.8%。夏玉米区域平均穗粒数为479,年际变幅为18.0%,地点变幅为38.7%。千粒重的增加导致夏玉米产量显著增加。穗粒数显著降低和时空差异大是造成产量波动和时空差异变幅大的主要原因。夏玉米产量和产量构成要素,低产点受各气候要素变化的影响显著;平产点受温度和日最高温度大于33℃的天数影响显著;高产点受降水影响显著。     

不同耕作方式对辽西褐土物理性状及玉米根系分布的影响

通过连续3年大田试验，对旋耕、翻耕、深松3种耕作方式下的土壤物理性质、玉米根系分布和产量进行测定。结果表明，与翻耕和旋耕相比，深松显著增加了玉米田土壤耕层厚度和降低了犁底层厚度。在中下层土壤，深松还降低了土壤紧实度和容重，改善了土壤的孔隙状况，有利于玉米根系向下生长，使得中下层土壤的玉米根系不仅更丰富，而且占总根系量的比例也更高，最终提高了玉米产量。本研究表明，深松耕作有利于改善辽西褐土区土壤结构和促进玉米生长。     

基于多源遥感数据的河套灌区干旱时空演变特征

利用中国气象局陆面数据同化系统（CLDAS）验证了2015—2016年土壤水分主动-被动微波数据集（SMAP）在河套灌区的适用性，基于土壤水分亏缺指数（SWDI ）和干旱周百分比（PDW）分析了作物生育期内灌区农业干旱时空演变规律，通过两个参考指标检验了SWDI在河套灌区的精度。结果表明：（1）SMAP在河套灌区的适用性较好；区域尺度上，SMAP和CLDAS的相关系数为0.65；栅格尺度上，约有69%的栅格表现良好（R>0.5），且多集中在灌区西南部和东北部。（2）严重干旱主要发生在4月下旬到5月中旬、7月下旬到8月下旬以及9月中旬到10月中旬，主要集中在灌区的西南部、中部和东部；2015—2016年PDW值略有增大，干旱事件的持续时间有所延长。（3）大气水分亏缺量（AWD）表征的气象干旱在时间上显示2 a内灌区干旱月份为5—8月；空间上，除去地形原因，SWDI和AWD的相关性较为显著，且有一半格点通过了显著性水平为0.01的显著检验，表明基于SWDI对河套灌区进行干旱状况分析具有较高的可信度。     

Mapping the current and future distributions of Onosma species endemic to Iran

Climate change may cause shifts in the natural range of species especially for those that are geographically restricted and/or endemic species. In this study, the spatial distribution of five endemic and threatened species belonging to the genus Onosma (including O. asperrima, O. bisotunensis, O. kotschyi, O. platyphylla, and O. straussii) was investigated under present and future climate change scenarios: RCP2.6 (RCP, representative concentration pathway; optimistic scenario) and RCP8.5 (pessimistic scenario) for the years 2050 and 2080 in Iran. Analysis was conducted using the maximum entropy (MaxEnt) model to provide a basis for the protection and conservation of these species. Seven environmental variables including aspect, depth of soil, silt content, slope, annual precipitation, minimum temperature of the coldest month, and annual temperature range were used as main predictors in this study. The model output for the potential habitat suitability of the studied species showed acceptable performance for all species (i.e., the area under the curve (AUC)>0.800). According to the models generated by MaxEnt, the potential current patterns of the species were consistent with the observed areas of distributions. The projected climate maps under optimistic and pessimistic scenarios (RCP2.6 and RCP8.5, respectively) of 2050 and 2080 resulted in reductions and expansions as well as positive range changes for all species in comparison to their current predicted distributions. Among all species, O. bisotunensis showed the most significant and highest increase under the pessimistic scenario of 2050 and 2080. Finally, the results of this study revealed that the studied plant species have shown an acute adaptability to environmental changes. The results can provide useful information to managers to apply appropriate strategies for the management and conservation of these valuable Iranian medicinal and threatened plant species in the future.