基于无人机多光谱的耐旱苎麻品种筛选方法

高温干旱是影响作物生长及最终生产力的主要胁迫源。当前,无人机遥感技术已在作物倒伏和病虫害的分级监测研究中取得重大进展,但有关利用无人机遥感进行作物抗旱等级监测的研究却鲜有报道。因此,以苎麻种质资源为研究对象,提出了苎麻抗旱性量化标准,并提供了一种利用无人机多光谱遥感鉴定苎麻种质资源抗旱性的方法。首先,由专家对36份苎麻种质资源进行抗旱性分级;然后,结合无人机多光谱遥感获取的植被指数,采用随机森林(Random forest, RF)、支持向量机(Support vector machine, SVM)、决策树(Decision tree, DT)3种机器学习方法分别构建苎麻抗旱性鉴定模型,并通过苎麻在高温干旱胁迫下的表型响应检验鉴定结果;最后,基于无人机获取的遥感表型,筛选高温干旱胁迫下优质苎麻种质资源。结果表明,利用SVM构建的苎麻抗旱性鉴定模型正确率达到0.74,不同抗旱级分类F1得分范围为0.69～0.79,说明该方法能用于苎麻种质资源抗旱性评估。利用无人机遥感数据反演得到的3项苎麻表型性状(叶绿素相对含量、叶面积指数、株高)均与人工测量值具有较强的相关性,在此基础上,研究从高温...     

Covariation between plant biodiversity and soil systems in a European beech forest and a black pine plantation:the case of Mount Faito,(Campania,Southern Italy)

Both climate and land-use changes,including the introduction and spread of allochthonous species,are forecast to affect forest ecosystems.Accordingly,forests will be affected in terms of species composition as well as their soil chemical and biological characteristics.The possible changes in both tree cover and soil system might impact the amount of carbon that is stored in living plants and dead biomass and within the soil itself.Additionally,such altera-tions can have a strong impact on the detrital food web that is linked to litter decomposition.Although there are studies on the influence of plant diversity on soil physical and chemi-cal characteristics,the effects on soil biological activity and carbon storage processes remain largely unknown.The aim of this study was to investigate and compare chemical and biological variables in covariation with plant communities in an autochthonous beech forest (Fagus sylvatica L.) and a black pine plantation (Pinus nigra J.F.Arnold subsp.nigra).Our results confirmed that the two communities were con-siderably different,with the old-growth beech community having a lower number of plant species and the pine com-munity was in development as a consequence of anthropo-genic activities.These aspects of the two communities were also reflected in the soil,with the beech soil having higher nitrogen levels and a more specialized microbial community compared to the pine soil,with most extracellular enzymes(such as peroxidase and chitinase) showing lower activity in the pine soil.     

Oxidative stress inducers potentiate 2,3,7,8-tetrachlorodibenzo-p-dioxin-mediated pre-cardiac edema in larval zebrafish

We reported the involvement of oxidative stress and prostaglandins including thromboxane and prostacyclin in pre-cardiac edema (early edema) caused by 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). While the involvement of oxidative stress in TCDD-induced toxicity has been frequently reported, the mechanism of its action is still unclear. In the present study, oxidative stress inducers including paraquat, hydrogen peroxide (H₂O₂) and rotenone augmented early edema (edema) induced by a low concentration of TCDD (0.1 ppb) at 55 hr post fertilization (hpf), while each of them alone did not cause edema. Edema caused by TCDD plus oxidative stress inducers was almost abolished by antioxidants, an antagonist for thromboxane receptor (ICI-192,605) and an agonist for prostacyclin receptor (beraprost), suggesting that the site of action of these inducers was in the regular signaling pathway after activation of aryl hydrocarbon receptor type 2 (AHR2) by TCDD. Oxidative stress inducers also enhanced edema caused by an agonist for the thromboxane receptor (U46619), and the enhancement was also inhibited by antioxidants. Sulforaphane and auranofin, activators of Nrf2 that is a master regulator of anti-oxidative response, did not affect U46619-evoked edema but almost abolished TCDD-induced edema and potentiation by paraquat in both TCDD- and U46619-induced edema. Taken together, the results suggest that oxidative stress augments pre-cardiac edema caused by TCDD via activation of thromboxane receptor-mediated signaling in developing zebrafish. As paraquat and other oxidative stress inducers used also are environmental pollutants, interaction between dioxin-like compounds and exogenous source of oxidative stress should also be considered.     

以活力抗旱指数作为玉米萌芽期抗旱性评价指标的初探

首次提出了活力抗旱指数,并以此为指标,在PEG人工模拟水分胁迫的条件下,对18个不同的玉米品种进行抗旱性研究。结果表明:活力抗旱指数和常用的萌发抗旱指数有很高的相关性,且能更好的反映不同品种幼苗水分胁迫下的差别,可以作为玉米萌发阶段抗旱性鉴定的筛选方法。     

牧草的不同利用方式对果-草人工生态系统土壤理化及生物学性状的影响

采用单因素随机区组试验研究了果-草人工生态系统中牧草的不同利用方式对土壤理化及生物学性状的影响.结果表明;刈割覆盖、刈割压埋、畜肥还园3种利用方式均能较清耕提高土壤水分含量,降低土壤密度,稳恒土壤温度,提高土壤养分含量,增加土壤微生物数量,提高土壤酶活性.相关性分析发现,除全P与纤维分解菌、纤维分解酶、多酚氧化酶为负相关外,其余养分与生物因子间均呈正相关,且多数养分与生物因子呈显著或极显著相关;经通径分析发现,脲酶、硅酸盐细菌、纤维分解酶是促进有机质积存的主要生物因素,蔗糖酶是影响N、P、K速效养分的最主要因子,过氧化氢酶、多酚氧化酶、纤维分解菌只是选择性地对有机质的积存和N、P、K速效养分的形成起作用.     

土壤质量生物学指标研究进展

本文对近年土壤微生物、土壤酶活性和土壤动物等土壤质量生物学指标研究成果进行了综合评述。土壤微生物是土壤有机组分和生态系统中最活跃的部分,被认为是最敏感的土壤质量生物学指标:微生物生物量代表参与调控土壤中能量和养分循环及有机物质转化所对应微生物的数量,但须结合多样性研究以弥补其无法反映土壤微生物组成和区系变化的缺陷;微生物群落组成和多样性动态反映土壤中生物类群的多变性和土壤质量在微生物数量和功能上的差异;土壤微生物活性体现在土壤微生物商、微生物呼吸和代谢商等方面,应考虑生物量大小与微生物种群活性间的相关关系以反映微生物种群内的差异。土壤酶活性具有极高时效性,在较短时间内就能反映出土壤质量的变化。土壤动物通常以种类的组成和数量,土壤动物区系的相对丰度、多样性或活性作为评价土壤生物质量的敏感指标。与土壤理化指标相比,土壤生物学指标更能对土壤质量的变化做出灵敏迅速的响应,因而被广泛地用于评价土壤质量。     

基于GIS技术的耕地土壤环境质量综合评价研究——以山西省永济市为例

以山西省永济市耕地为研究区域,通过收集整理土壤环境质量样点数据,运用GIS技术建立了土壤环境质量数据库,依据国家土壤环境质量评价标准进行分析评价,获得了永济市耕地土壤环境质量评价结果.土壤面源污染水、土综合评价结果表明:18个样点中有3个为无污染,11个为轻度污染,4个为中度污染.点源污染土壤综合评价结果表明:该区主要污染物为F、Cl、Pb、Cd、As及DDT.蔬菜地样点综合评价表明:大部分蔬菜生产符合绿色食品种植要求(NY/T391-2000)和无公害食品蔬菜地种植要求(NY5010-2001);在不符合要求的样点中,超标物主要是Cd、Pb、Hg、As及DDT.该研究为进一步加强土壤环境质量管理与修复决策奠定了基础.     

降雨侵蚀力新算法在豫西山区应用的初步研究

降雨侵蚀力是定量监测评价一个地区土壤侵蚀状况的重要因子之一,找到适宜简便的计算方法十分重要.卜兆宏提出的降雨侵蚀力新算法具有简便易用的优点.本文利用位于豫西山区鲁山县的3个水文雨量站10年185次的自记降雨过程资料,以经典算法年R值为基准,对新算法在该区的适用性进行了分析评价.结果表明:新算法结果与经典值存在高度的一致性,一致性高达90.2%,模型有效系数为96.4%,相对误差为7.7%,说明新算法能够在该区应用,可以采取此法对该区的降雨侵蚀力进行深入的分析研究;并同时对资料摘读时应该注意的问题进行了讨论.     

双道原子荧光光谱同时测定土壤中砷、汞的方法研究

研究了土壤中总As、总Hg的同时测定方法,并对消化体系进行了筛选,利用正交试验设计法对测试条件进行了优化.建立了用王水消解样品,在10%盐酸溶液中用双道原子荧光光度计同时测定土壤中As、Hg的新方法.方法线性范围宽(As 0～200μg/L;Hg 0～10μg/L);检出限低(As 0.05μg/L;Hg 0.007μg/L);As的回收率为96.0%～101.0%,Hg的回收率为97.0%～103.7%;相对标准偏差(RSD)As为2.7%,Hg为4.5%.该方法准确、简便、快速,结果令人满意.     

恶唑菌酮土壤降解影响因子研究

探讨了土壤环境中的主要因素:土壤微生物、温度、含水量、pH值以及施用有机肥对恶唑菌酮降解的影响。结果表明:土壤微生物对恶唑菌酮在土壤中的降解起着重要作用,相同条件下灭菌土壤的降解半衰期是非灭菌土壤的27.6倍。环境温度、土壤含水量等对恶唑菌酮降解也有影响,在15℃～40℃的试验条件下,随着温度升高,恶唑菌酮的降解速率加快,特别是15℃～25℃温度范围内降解速率上升较快;过高和过低的土壤含水量都不利于土壤中恶唑菌酮的降解,土壤含水量为50?～100?时适宜恶唑菌酮的降解;此外施用有机肥会加速恶唑菌酮的降解;而土壤pH值对降解的影响不显著。