57份苎麻种质资源主要农艺性状及纤维品质鉴定评价

对57份苎麻种质的主要农艺性状和纤维品质性状进行了鉴定评价。结果筛选出高产苎麻种质10份(原麻产量≥2000 kg/hm2),纤维品质优良的种质7份(纤维细度≥2000 m/g),鲜皮出麻率≥12.5%的苎麻种质20份,炼折率超过65%的苎麻种质有10份,按照苎麻优异种质评价规范,满足高产和出麻率高2个优良指标的种质7份,满足优质和鲜皮出麻率高2个优良指标的种质1份。     

甘蓝型油菜与蔊菜属间杂种后代的苗期耐湿性综合评价

以生产上应用的耐湿性存在差异的3个甘蓝型油菜品种为对照,采用盆栽模拟湿害胁迫的方法,对15份源自甘蓝型油菜与蔊菜属间杂交获得的遗传稳定的创新种质进行苗期耐湿性鉴定和综合评价。结果显示:(1)湿害抑制根系生长,导致植株变矮,叶片发黄,生物量降低,湿害对根系影响最为严重,其次是植株总生物量积累和地上部分的生长。(2)通过主成分分析和隶属函数法,将全展叶数、绿叶率、苗高、根长、地上部分鲜重、根鲜重、植株总鲜重、地上部分干重、根干重和植株总干重等10个性状指标值转化成单一的综合评价值(D值),客观、科学、准确地对参试的18份材料进行了综合评价,为甘蓝型油菜苗期耐湿性评价提供了方法参考。(3)15份创新种质除绿叶率外的9个测定指标的耐湿性系数均高于对照品种,耐湿性综合评价结果显示,15份创新种质的D值均高于渝黄2号,13份创新种质的D值高于综合抗耐性俱佳的中油821,3份创新种质的D值高于高耐湿品种中双9号,聚类得到的高耐湿类群的7份材料中创新种质占6份(85.71%)。可见,创新种质的耐湿性平均要优于对照品种,说明通过远缘杂交获得的创新种质对甘蓝型油菜的耐湿性有了较为明显的改良和提高。     

中国黍稷种质资源收集、保护、创新与共享利用

项目实施13年。收集、保护了一批濒临灭绝的黍稷种质;对国家长期库黍稷种质进行了繁殖更新与补充鉴定;研究制定了黍稷种质资源繁种更新与鉴定评价技术规范;为国家长期种质库提供了黍稷新的种质资源、数据资源;建立国家黍稷种质中期保存库;评价创新了一批黍稷种质资源,为生产、育种、加工提供了优异种质(品种),取得了明显的社会经济效益。     

应用SSR标记分析鹰嘴豆种质资源遗传多样性

种质资源的遗传多样性是育种工作的基础,本研究利用SSR标记对鹰嘴豆资源进行遗传多样性分析,旨在发掘鹰嘴豆资源中丰富的遗传变异。从48对鹰嘴豆SSR引物中筛选出18对核心多态性引物,对96份不同来源的鹰嘴豆种质资源进行SSR标记的遗传多样性分析。结果表明,18对SSR引物共检测到115个等位变异,占总检测位点的52.99%,每对SSR引物可检测出3~10个等位变异,平均6.39个;平均每个位点多态信息量(PIC)为0.8107,变化范围为0.6661~0.8984。Shannon's信息指数平均为1.4769,变化范围为0.0607~1.9584。PGMA聚类结果表明,在遗传相似系数0.59处,可将96份鹰嘴豆资源分为6个类群,类群Ⅰ包含9份资源,类群Ⅱ包含2份资源,类群Ⅲ包含28份资源,类群Ⅳ包含4份资源,类群Ⅴ包含40份资源,类群Ⅵ包含13份资源。本研究对我国鹰嘴豆种质资源的评价与利用、优异基因的挖掘、育种亲本材料的选择等提供科学依据。     

不同等位HXT3基因对酿酒酵母EC1118发酵特性的影响

葡萄酒酿酒酵母果糖利用能力与酒精发酵中止和发酵不彻底密切相关,其果糖利用分子机制的研究备受关注。以高果糖利用葡萄酒酿酒酵母菌EC1118为试验材料,利用重组技术获得了HXT3基因敲除菌,通过酶切和基因测序鉴定,首次发现EC1118具有2个不同的HXT3等位基因,并研究了不同HXT3等位基因缺失对菌体发酵过程中葡萄糖、果糖利用的影响。结果表明,突变的HXT3-champ基因对保证菌体发酵后期高果糖利用能力起到了重要的作用,对筛选和构建高果糖利用优良葡萄酒酿酒酵母研究具有重要指导意义。     

Science in Risk Assessment and Policy (SciRAP): An Online Resource for Evaluating and Reporting In Vivo (Eco)Toxicity Studies

(Eco)toxicity studies conducted according to internationally standardized test guidelines are often considered reliable by default and preferred as key evidence in regulatory risk assessment. At the same time regulatory agencies emphasize the use of all relevant (eco)toxicity data in the risk assessment process, including non-standard studies. However, there is a need to facilitate the use of such studies in regulatory risk assessment. Therefore, we propose a framework that facilitates a systematic and transparent evaluation of the reliability and relevance of (eco)toxicity in vivo studies for health and environmental risk assessment. The framework includes specific criteria to guide study evaluation, as well as a color-coding tool developed to aid the application of these criteria. In addition we provide guidance intended for researchers on how to report non-standard studies to ensure that they meet regulatory requirements. The intention of the evaluating and reporting criteria is to increase the usability of all relevant data that may fill information gaps in chemical risk assessments. The framework is publically available online, free of charge, at the Science in Risk Assessment and Policy (SciRAP) website: www.scirap.org. The aim of this article is to present the framework and resources available at the SciRAP website.     

Projecting future expansion of invasive species: comparing and improving methodologies for species distribution modeling

Modeling the distributions of species, especially of invasive species in non‐native ranges, involves multiple challenges. Here, we developed some novel approaches to species distribution modeling aimed at reducing the influences of such challenges and improving the realism of projections. We estimated species–environment relationships for Parthenium hysterophorus L. (Asteraceae) with four modeling methods run with multiple scenarios of (i) sources of occurrences and geographically isolated background ranges for absences, (ii) approaches to drawing background (absence) points, and (iii) alternate sets of predictor variables. We further tested various quantitative metrics of model evaluation against biological insight. Model projections were very sensitive to the choice of training dataset. Model accuracy was much improved using a global dataset for model training, rather than restricting data input to the species’ native range. AUC score was a poor metric for model evaluation and, if used alone, was not a useful criterion for assessing model performance. Projections away from the sampled space (i.e., into areas of potential future invasion) were very different depending on the modeling methods used, raising questions about the reliability of ensemble projections. Generalized linear models gave very unrealistic projections far away from the training region. Models that efficiently fit the dominant pattern, but exclude highly local patterns in the dataset and capture interactions as they appear in data (e.g., boosted regression trees), improved generalization of the models. Biological knowledge of the species and its distribution was important in refining choices about the best set of projections. A post hoc test conducted on a new Parthenium dataset from Nepal validated excellent predictive performance of our ‘best’ model. We showed that vast stretches of currently uninvaded geographic areas on multiple continents harbor highly suitable habitats for parthenium. However, discrepancies between model predictions and parthenium invasion in Australia indicate successful management for this globally significant weed.     

旅游生态系统能值研究进展

能值分析是以能值为基准,通过能值转换率,有效测度与评价生态系统及经济系统中不同类型的物质流、能量流、货币流及其相互关系的方法。旅游生态系统是特殊类型的人地关系地域系统,是以旅游活动为中心的"自然、经济、社会、旅游"复合系统,利用能值方法进行旅游能值研究可以为旅游可持续发展提供科学建议。通过对国内外相关研究重要文献的梳理,从旅游能值研究尺度与类型角度,分析了国内外相关研究进展,并通过与农业、工业系统的能值研究对比分析,目前研究在理论推进、要素选择、指标构建、方法集成等4个方面,旅游生态系统能值研究存在特殊性,并从理论、方法、内容等3个角度,提出了今后旅游能值研究的方向,以期推动旅游系统能值研究的深入。     

基于遥感技术的全国生态系统分类体系

随着遥感技术的发展,以遥感数据作为生态系统监测与评价的基础已成为宏观生态学研究的重要手段。遥感数据要求每一数据集都要有相应的地物分类体系与之匹配,这也造成不同遥感数据及分类体系之间相互独立。虽然体系间多有联系和相似之处,但不同数据集的分类体系难以直接使用或替换,制约了多元数据在生态系统评价中的使用效果。为尝试解决这一问题,提高多源遥感数据的使用效率,提出了一套基于中分辨率遥感数据的生态系统分类体系。这套体系共有9个一级类、21个二级类、46个三级类,该体系主要依据类别内生态系统特征的相似性,并考虑了气候、地形等因素。最后以海南岛、内蒙古和甘肃3个省为例,探讨了以遥感数据为基础的区域生态系统构成分析方法与应用效果。研究表明,该分类体系有较好的生态学依据,可以支持更加深入的生态系统评估。但分类体系中还存在遥感数据与生态因子数据尺度不匹配、不能满足小尺度研究中对三级类进一步细分的要求以及当前数据质量和模拟技术不足以完全支持植被覆盖率反演精度要求等问题。