【摘 要】
：
Magnolia sinica is one of the most endangered Magnoliaceae species in China.Seed biology information concerning its long-term ex situ conservation and utilization is insufficient.This study investigated dormancy status,germination requirements and storage
【机 构】
：
The Germplasm Bank of Wild Species,Kunming Institute of Botany,Chinese Academy of Sciences,Kunming,6
论文部分内容阅读
Magnolia sinica is one of the most endangered Magnoliaceae species in China.Seed biology information concerning its long-term ex situ conservation and utilization is insufficient.This study investigated dormancy status,germination requirements and storage behavior of M.sinica.Freshly matured seeds germinated to ca.86.5％ at 25/15 ℃ but poorly at 30 ℃;GA3 and moist chilling promoted germination significantly at 20 ℃.Embryos grew at temperatures (alternating or constant) between 20 ℃ and 25 ℃,but not at 5 ℃ or 30 ℃.Our results indicate that M.sinica seeds possibly have non-deep simple mor-phophysiological dormancy (MPD).Seeds survived desiccation to 9.27％o and 4.85％ moisture content (MC)as well as a further 6-month storage at-20 ℃ and in liquid nitrogen,including recovery in vitro as excised embryos.The established protocol ensured that at least 58％ of seedlings were obtained after both cold storage and cryopreservation.These results indicate that both conventional seed banking and cryopreservation have potential as long-term ex situ conservation methods,although further optimized approaches are recommended for this critically endangered magnolia species.
其他文献
针对传统临街建筑立面测绘方法存在工作量大、效率低、设备昂贵、效果欠佳等问题,提出了一种利用无人机贴近摄影的临街建筑立面快速测绘方法.首先,根据临街建筑的空间位置分布,对临街建筑立面进行无人机贴近摄影航线规划;然后,利用无人机按规划航线对建筑立面进行贴近摄影,并利用拍摄的影像数据进行实景三维建模,构建精细的建筑物立面三维模型,将模型导入三维测绘软件完成建筑物立面测绘;最后,利用全站仪、测距仪等进行精度评估和效率分析,精度为±0.032 m,效率提升30.9％.结果表明,该方法可以快速获取建筑立面影像信息,实
为提高输电线杆塔三维重建的效率,解决传统方法在电力杆塔提取和重建方面不准确的问题,提出了蒙版残差卷积神经网络(Mask RCNN)辅助的高压电力杆塔快速三维重建技术.该方法将杆塔三维重建从整个环境三维重建的任务中分离出来,基于杆塔实例分割,采用基于蒙版的空三和密集匹配方法,直接对杆塔对象进行实例化三维重建,进而提高杆塔重建的效率.实验结果表明,该方法可显著提高密集匹配效率,在高压电力杆塔快速三维重建方面具有优势.
光谱角匹配分类以光谱整体相似度作为分类准则,却无法充分考虑光谱的局部细节特征,导致高光谱遥感影像的分类结果存在着较大的误差.针对此问题,提出一种联合光谱角与组合特征参数(spectral angle mapping-combination characteristic parameter,SAM-CCP)的新型高光谱影像分类方法.该方法在光谱角距离的基础上,引入光谱特征参数,有效突出光谱信息的局部特征,从而提高分类精度.首先,将地物反射光谱的整体特征和典型的吸收谷特征相结合,计算参数向量的欧式距离,并调节
将资源三号DEM和全球开放DEM进行全面的精度评估和对比分析,能有效促进其改进、推广和应用.文章以孟中印缅经济走廊典型区域为例,基于ICESat/GLA 14测高数据,利用平均误差、绝对平均误差、均方根误差和标准偏差四项统计指标,对资源三号卫星影像生产的DEM(ZY3-DEM)与SRTM1 DEM的质量进行对比,并分析不同坡度等级和土地覆盖类型下的绝对垂直误差和相对误差分布.结果表明:1)ZY3-DEM的质量较好,绝对垂直精度和相对精度均优于SRTM1 DEM.2)两种DEM数据的绝对垂直误差和点对坡度误
完善的花粉过敏监测体系对提升花粉过敏患者的生活质量具有积极意义.针对我国尚未形成花粉监测体系的现状以及花粉过敏人群病例数据的隐私性,文章结合舆情和遥感数据实现大范围花粉过敏的监测.通过相关性检验证明花粉过敏百度指数可以代表各地花粉浓度.基于M ODIS数据产品获取的植被指数、美国国家海洋和大气管理局获取的温度和降水等遥感数据,以致敏花粉植被种类丰富多样且花粉浓度数据较完整的北京市为例,通过人工神经网络建立花粉过敏百度指数和植被指数、温度、降水之间的花粉过敏监测模型,精度达72.82％,具有较高的可靠性.文
Paphiopedilum dianthum and P.micranthum are two endangered orchid species,with high ornamental and conservation values.They are sympatric species,but their leaf anatomical traits and flowering period have significant differences.However,it is unclear whet
Large-scale patterns of biodiversity and the underlying mechanisms that regulate these patterns are central topics in biogeography and macroecology.The Qinghai-Tibet Plateau serves as a natural labo-ratory for studying these issues.However,most previous s
Predictive studies play a crucial role in the study of biological invasions of terrestrial plants under possible climate change scenarios,lnvasive species are recognized for their ability to modify soil mi-crobial communities and influence ecosystem dynam
In this paper a critical annotated checklist of 256 endemic and near endemic species belonging to 152 genera and 50 families of flowering plants known from Hyrcanian relict forests is presented.Distribution maps of taxa,elevational range,number of known r
The phytochrome B mediated light signaling integrates with various phytohormone signalings to control plant immune response.However,it is still unclear whether phyB-mediated light signaling has an effect on the biosynthesis ofjasmonate during plant defens