882 resultados para Methods : Data Analysis
Resumo:
Atualmente novos métodos de exercício físico vêm sendo pesquisados no campo da promoção da saúde, prevenção e tratamento de doenças. Uma estratégia inovadora e com expressiva aceitação no meio científico é a utilização da tecnologia de realidade virtual nas sessões terapêuticas para pessoas com distúrbios neurológicos e treinamento preventivo contra quedas em idosos, apresentando resultados promissores, motivando novos desenhos de estudos nessa área, porém com indivíduos de características clínicas diferenciadas. O objetivo da presente dissertação é abordar a tecnologia de realidade virtual, assim como seus dispositivos, na avaliação do equilíbrio corporal e treinamento de idosos. O artigo de confiabilidade da medida faz uma abordagem inovadora da medida quantitativa da estabilidade corporal, sendo esta avaliada por um instrumento de baixo custo e validado em relação ao padrão-ouro. Nesse artigo concluiu-se que o instrumento testado apresenta confiabilidade. O experimento controlado e randomizado com duplo cegamento é apresentado no formato de artigo original, contendo um resumo, introdução, finalizada pelo objetivo do estudo, que esclarece o que será estudado; depois segue a parte de materiais e métodos que descreve a amostra, as intervenções, as avaliações das respostas dos participantes e a análise dos dados, mostrando como foi realizado o estudo; seguido dos resultados, discussão, conclusão e referências. Nesse experimento concluiu-se que o treinamento com realidade virtual foi capaz de melhorar a autonomia funcional de idosas para sentar.
Resumo:
A plausível associação entre o consumo de carnes e o desenvolvimento do câncer colorretal vem sendo em parte explicada pelo processo de formação de aminas heterocíclicas e hidrocarbonetos aromáticos durante a cocção. No Brasil este tipo de câncer encontra-se entre as três mais frequentes causas de óbito por câncer tanto em homens como em mulheres, sendo as regiões Sul e Sudeste as que apresentam as maiores taxas de mortalidade. Este estudo tem como objetivo estimar o consumo médio per capita e prevalência de carnes segundo formas de preparo no Brasil, com ênfase nas técnicas grelhado/brasa/churrasco e frito. Foram utilizados dados do Inquérito Nacional de Alimentação (INA) que faz parte da Pesquisa de Orçamentos Familiares (POF) realizado entre os anos de 2008 e 2009. Nesse inquérito foram analisadas informações referentes ao consumo alimentar de 34.003 indivíduos com dez anos de idade ou mais, contemplando questões a cerca da quantidade de alimentos consumidos em unidades de medidas caseiras, forma de preparo do alimento e local de consumo (alimentação dentro do domicílio ou quando o alimento foi preparado e consumido fora do domicílio). As medias de carnes em geral foram estratificadas por sexo, escolaridade, quarto de renda, grandes regiões geográficas, situação do domicílio (urbano/rural) e local de consumo (dentro/fora do lar). Para a extração dos valores médios per capita consumidos, foram utilizados os procedimentos survey para levar em consideração os efeitos do desenho amostral. Verificou-se que a maior média per capita de consumo em gramas ocorreu no grupo de carne bovina, e a forma de preparo frito apresentou a maior média per capita de ingestão (31 gramas/ dia). Agrupando-se todos os tipos de carnes em apenas uma classe, "carnes em geral", a forma de preparação frita permaneceu com média de consumo demasiadamente maior que a forma grelhado/brasa/churrasco em todas as variáveis analisadas. Quando desagregado pelas variáveis de interesse, a maior média de consumo per capita de carnes em geral ocorreu na mais alta categoria de escolaridade (21 gramas/ dia) para o tipo grelhado/brasa/churrasco e entre residentes da região Norte (111gramas/ dia) para o tipo frito. As menores médias per capita ocorreram entre os indivíduos no primeiro quarto de renda (1,96 gramas/ dia) para aqueles que consumiram grelhado/brasa/churrasco e para as carnes fritas a menor média foi observada fora do domicílio (20 gramas/ dia). Os achados indicam que existe uma acentuada diferença entre o consumo médio per capita de grelhado/brasa/churrasco e fritos entre as regiões brasileiras, sendo mais evidente quando desagregado por variáveis sócio demográficas.
Resumo:
Esta dissertação discute os possíveis delineamentos epidemiológicos e estratégias de análise de dados capazes de apreender as funções de ocorrência de interesse nos estudos de fatores de risco para a prescrição médica inadequada as crianças com infecção respirat6ria aguda, atendidas na rede ambulatorial. Para tal, os principais marcos teóricos que devem nortear a construção de um desenho de estudo epidemiológico são apresentados, assim como as diferentes etapas que devem ser consideradas quando se esta planejando um processo de analise estatística de dados em estudos epidemiológicos. A partir da elaboração de um modelo teórico-conceitual que represente as relações entre os diversos fatores que parecem estar envolvidos com a prescrição e o consumo de medicamentos, diferentes estratégias de pesquisa e pianos de analise são discutidos, alertando-se para os principais problemas a serem evitados quando se busca um estudo com validade e precisão entre satisfatórias.
Resumo:
The decipherment of the meager information provided by short fragments of ancient mitochondrial DNA (mtDNA) is notoriously difficult but is regarded as a most promising way toward reconstructing the past from the genetic perspective. By haplogroup-specific hypervariable segment (HVS) motif search and matching or near-matching with available modem data sets, most of the ancient mtDNAs can be tentatively assigned to haplogroups, which are often subcontinent specific. Further typing for mtDNA haplogroup-diagnostic coding region polymorphisms, however, is indispensable for establishing the geographic/genetic affinities of ancient samples with less ambiguity. In the present study, we sequenced a fragment (similar to 982 bp) of the mtDNA control region in 76 Han individuals from Taian, Shandong, China, and we combined these data with previously reported samples from Zibo and Qingdao, Shandong. The reanalysis of two previously published ancient mtDNA population data sets from Linzi (same province) then indicates that the ancient populations had features in common with the modem populations from south China rather than any specific affinity to the European mtDNA pool. Our results highlight that ancient mtDNA data obtained under different sampling schemes and subject to potential contamination can easily create the impression of drastic spatiotemporal changes in the genetic structure of a regional population during the past few thousand years if inappropriate methods of data analysis are employed.
Resumo:
Estimates of potential yield for Kainji Lake, and the methods of analysis by earlier workers are discussed. Also summarized is the state of the fishery after impoundment, between 1969 and 1971, based on experimental gillnet catches. Recent sampling of the young of the year along the littoral margin indicates that most of the commercially important species have spawned successful1y in the lake. An intense fishing mortality of juvenile fish, owing to the use of small mesh nets by local fishermen, presents a possible threat to the future establishment of the fish in the lake. The results of gill-net selection studies based on HOLT'S (1957) method are given. The data have been extracted from experimental gill-net catches with graded fleets of nets between 1969 and 1971. Recommendations based on the above studies have been made to ensure a successful establishment of the fish species in the lake and an increase in catch-per~unit effort in subsequent years.
Resumo:
Reducing energy consumption is a major challenge for "energy-intensive" industries such as papermaking. A commercially viable energy saving solution is to employ data-based optimization techniques to obtain a set of "optimized" operational settings that satisfy certain performance indices. The difficulties of this are: 1) the problems of this type are inherently multicriteria in the sense that improving one performance index might result in compromising the other important measures; 2) practical systems often exhibit unknown complex dynamics and several interconnections which make the modeling task difficult; and 3) as the models are acquired from the existing historical data, they are valid only locally and extrapolations incorporate risk of increasing process variability. To overcome these difficulties, this paper presents a new decision support system for robust multiobjective optimization of interconnected processes. The plant is first divided into serially connected units to model the process, product quality, energy consumption, and corresponding uncertainty measures. Then multiobjective gradient descent algorithm is used to solve the problem in line with user's preference information. Finally, the optimization results are visualized for analysis and decision making. In practice, if further iterations of the optimization algorithm are considered, validity of the local models must be checked prior to proceeding to further iterations. The method is implemented by a MATLAB-based interactive tool DataExplorer supporting a range of data analysis, modeling, and multiobjective optimization techniques. The proposed approach was tested in two U.K.-based commercial paper mills where the aim was reducing steam consumption and increasing productivity while maintaining the product quality by optimization of vacuum pressures in forming and press sections. The experimental results demonstrate the effectiveness of the method.
Resumo:
Reducing energy consumption is a major challenge for energy-intensive industries such as papermaking. A commercially viable energy saving solution is to employ data-based optimization techniques to obtain a set of optimized operational settings that satisfy certain performance indices. The difficulties of this are: 1) the problems of this type are inherently multicriteria in the sense that improving one performance index might result in compromising the other important measures; 2) practical systems often exhibit unknown complex dynamics and several interconnections which make the modeling task difficult; and 3) as the models are acquired from the existing historical data, they are valid only locally and extrapolations incorporate risk of increasing process variability. To overcome these difficulties, this paper presents a new decision support system for robust multiobjective optimization of interconnected processes. The plant is first divided into serially connected units to model the process, product quality, energy consumption, and corresponding uncertainty measures. Then multiobjective gradient descent algorithm is used to solve the problem in line with user's preference information. Finally, the optimization results are visualized for analysis and decision making. In practice, if further iterations of the optimization algorithm are considered, validity of the local models must be checked prior to proceeding to further iterations. The method is implemented by a MATLAB-based interactive tool DataExplorer supporting a range of data analysis, modeling, and multiobjective optimization techniques. The proposed approach was tested in two U.K.-based commercial paper mills where the aim was reducing steam consumption and increasing productivity while maintaining the product quality by optimization of vacuum pressures in forming and press sections. The experimental results demonstrate the effectiveness of the method. © 2006 IEEE.
Resumo:
SNPNB is a user-friendly and platform-independent application for analyzing Single Nucleotide Polymorphism NeighBoring sequence context and nucleotide bias patterns, and subsequently evaluating the effective SNP size for the bias patterns observed from the whole data. It was implemented by Java and Perl. SNPNB can efficiently handle genome-wide or chromosome-wide SNP data analysis in a PC or a workstation. It provides visualizations of the bias patterns for SNPs or each type of SNPs.
Resumo:
Estimating the fundamental matrix (F), to determine the epipolar geometry between a pair of images or video frames, is a basic step for a wide variety of vision-based functions used in construction operations, such as camera-pair calibration, automatic progress monitoring, and 3D reconstruction. Currently, robust methods (e.g., SIFT + normalized eight-point algorithm + RANSAC) are widely used in the construction community for this purpose. Although they can provide acceptable accuracy, the significant amount of required computational time impedes their adoption in real-time applications, especially video data analysis with many frames per second. Aiming to overcome this limitation, this paper presents and evaluates the accuracy of a solution to find F by combining the use of two speedy and consistent methods: SURF for the selection of a robust set of point correspondences and the normalized eight-point algorithm. This solution is tested extensively on construction site image pairs including changes in viewpoint, scale, illumination, rotation, and moving objects. The results demonstrate that this method can be used for real-time applications (5 image pairs per second with the resolution of 640 × 480) involving scenes of the built environment.
Resumo:
In this paper we discuss key implementation challenges of a systems approach that combines System Dynamics, Scenario Planning and Qualitative Data Analysis methods in tackling a complex problem. We present the methods and the underlying framework. We then detail the main difficulties encountered in designing and planning the Scenario Planning workshop and how they were overcome, such as finding and involving the stakeholders and customising the process to fit within timing constraints. After presenting the results from this application, we argue that the consultants or system analysts need to engage with the stakeholders as process facilitators and not as system experts in order to gain commitment, trust and to improve information sharing. They also need be ready to adapt their tools and processes as well as their own thinking for more effective complex problem solving.
Resumo:
Salt water intrusion occurred frequently during dry season in Modaomen waterway of the Pearl River Estuary. With the development of region's economy and urbanization, the salt tides affect the region's water supply more and more seriously in recent years. Regulation and allocation of freshwater resources of the upper rivers of the estuary to suppress the salt tides is becoming important measures for ensuring the water supply security of the region in dry season. The observation data analysis showed that the flow value at the Wuzhou hydrometric station on the upper Xijiang river had a good correlation with the salinity in Modaomen estuary. Thus the flow rate of Wuzhou has been used as a control variable for suppression of salt tides in Modaomen estuary. However, the runoff at Wuzhou mainly comes from the discharge of Longtan reservoir on the upper reaches of Xijiang river and the runoff in the interval open valley between Longtan and Wuzhou sections. As the long distance and many tributaries as well as the large non-controlled watershed between this two sections, the reservoir water scheduling has a need for reasonable considering of interaction between the reservoir regulating discharge and the runoff process of the interval open watershed while the deployment of suppression flow at Wuzhou requires longer lasting time and high precision for the salt tide cycles. For this purpose, this study established a runoff model for Longtan - Wuzhou interval drainage area and by model calculations and observation data analysis, helped to understand the response patterns of the flow rate at Wuzhou to the water discharge of Longtan under the interval water basin runoff participating conditions. On this basis, further discussions were taken on prediction methods of Longtan reservoir discharge scheduling scheme for saline intrusion suppression and provided scientific and typical implementation programs for effective suppression flow process at the Wuzhou section.
Resumo:
穗发芽(PHS,preharvest sprouting)是影响禾本科作物生产的重要的灾害之一。收获时期如遇潮湿天气容易导致穗发芽发生。发生穗发芽的种子内部水解酶(主要是α-淀粉酶)活性急剧升高,胚乳贮藏物质开始降解,造成作物产量和品质严重降低。因此,选育低穗发芽风险的品种是当前作物育种工作中面临的重要任务。 青稞(Hordeum vulgare ssp. vulgare)主要分布于青藏高原,自古以来就是青藏高原人民的主要粮食。近年来,由于青稞丰富的营养成分和特有的保健品质、在燃料工业中的潜力以及在啤酒酿造工业中的利用前景,在发达国家日趋受到重视,掀起综合研究利用的热潮。我国拥有占全世界2/3 以上的青稞资源,具有发展青稞产业的得天独厚的条件。然而,由于青稞收获期间恰逢青藏高原雨季来临,常有穗发芽灾害发生,使青稞生产损失巨大。目前对青稞穗发芽研究很少,适用于育种的穗发芽抗性材料相对缺乏,不能很好的满足青稞穗发芽抗性育种的需要。本研究以青藏高原青稞为材料,对其穗发芽抗性的评价指标和体系进行构建,同时筛选青稞抗穗发芽品种并对其抗性进行评价,还利用分子生物学手段对青稞穗发芽抗性的分子机理进行了初步探讨。主要研究结果如下: 1. 本试验以来自于我国青藏高原地区的青稞为材料,对休眠性测定的温度范围进行探讨,并对各种穗发芽抗性测定方法的对青稞的适用性进行评测。通过探讨温度对13 个不同基因型的青稞籽粒发芽和休眠性表达的影响,对筛选青稞抗穗发芽资源的温度条件进行探索,并初步分析了其休眠性表达的机理。在10,15,20,25,30℃的黑暗条件下,选用新收获的13 个青稞品种为材料进行籽粒发芽实验,以发芽指数(GI)评价其休眠性。结果发现,不同品种对温度敏感性不同,其中温度不敏感品种,在各温度条件下均表现很低的休眠性;而温度敏感品种,其休眠性表达受低温抑制,受高温诱导。15℃至25℃是进行青稞休眠性鉴定的较适宜的温度范围。通过对供试材料发芽后的α-淀粉酶活性,发现温度对青稞种子的休眠性表达的影响至少在一定程度上表现在对α-淀粉酶活性的调控上。随后,对分别在马尔康和成都进行种植的34 份青稞穗发芽指数(SI),穗发芽率(SR),籽粒发芽指数(GI)和α-淀粉酶活性(AA)进行了测定和分析,发现它们均受基因型×栽培地点的极显著影响,且四个参数之间具有一定相关性。GI 参数由于其变异系数较低,在不同栽培地点稳定性好,且操作简便,是较可靠和理想的穗发芽评价参数。SI 参数可作为辅助,区别籽粒休眠性相似的材料(基因型)或全面评价材料(基因型)的穗发芽抗性特征。AA 参数稳定性较差,并且检测方法复杂,因此不建议在育种及大量材料筛选和评价时使用。此外,青稞穗发芽抗性受环境影响较大,评价时应考虑到尽可能多的抗性影响因素及其在不同栽培条件下的变异。 2. 对来自青藏高原的青稞穗发芽抗性特征及其与其它农艺性状间的关系进行研究。通过测定穗发芽指数(SI)、籽粒发芽指数(GI)和α-淀粉酶活性(AA),表明113 份青稞材料的穗发芽抗性具有显著差异。SI、GI 和AA 参数的变幅分别为1.00~8.86、0.01~0.97 和0.00~2.76,其均值分别为4.72、0.63 和1.22。根据SI 参数,六个基因型,包括‘XQ9-5’,‘XQ33-9’,‘XQ37-5’,‘XQ42-9’,‘XQ45-7’和‘JCL’被鉴定为抗性品种。综合SI、GI 和AA 参数,可以发现青稞的穗发芽抗性机制包含颖壳等穗部结构的抗性和种子自身的抗性(即种子休眠性),且供试材料中未发现较强的胚休眠品种,除‘XQ45-7’外,所有品种在发芽第四天均能检测出α-淀粉酶活性。穗部结构和种子休眠的抗性机制因基因型不同而不同,在穗发芽抗性中可单独作用或共同作用。农家品种和西藏群体分别比栽培品种和四川群体的穗发芽抗性强,而在不同籽粒颜色的青稞中未发现明显差异。相关性检验发现,青稞的穗发芽抗性,主要是种子休眠性,与百粒重、开花期、成熟期、穗长、芒长和剑叶长呈显著负相关关系,与株高相关性不显著。农艺性状可以作为穗发芽抗性材料选育中的辅助指标。本试验为青稞穗发芽抗性育种研究提供了必要的理论基础和可供使用的亲本材料。 3. α-淀粉酶是由多基因家族编码的蛋白质,在植物种子萌发时高度表达,与植物种子的萌发能力密切相关。在大麦种子发芽时,高等电点α-淀粉酶的活性远大于低等电点的α-淀粉酶。为了研究不同穗发芽抗性青稞品种中编码高等电点α-淀粉酶Amy1 基因结构与抗性间的关系,我们以筛选得到的抗性品种‘XQ32-5’(TR1)、‘XQ37-5’(TR2)、‘XQ45-7’(TR3),易感品种‘97-15’(TS1)、‘9657’(TS2)以及强休眠大麦品种‘SAMSON’(SAM)为材料,对其Amy1 基因的编码区序列进行克隆和结构分析,并对它们推导的氨基酸序列进行比较。结果显示,青稞Amy1 基因具有三个外显子、两个内含子,编码区中有13 个核苷酸变异位点,均位于2、3 号外显子,2 个变异位点位于2 号外显子。SAM 和TS1 分别在2 号外显子相应位置有5 个相同的碱基(GAACT)的插入片段。相应α-淀粉酶氨基酸序列推导发现,所有核苷酸变异中有8 个导致相应氨基酸残基的改变,其余位点为同义突变。青稞Amy1 基因编码区序列品种间相似度高达99%以上,部分序列变异可能与其穗发芽抗性有关。随后,我们又通过SYBR Green 荧光定量技术对该基因在不同发芽时间(1d~7d)的相对表达水平进行了差异性检测。结果发现,7 天内不能检测到SAM 的Amy1 基因表达,5 个青稞品种间的Amy1 基因的相对表达量均随着发芽时间延长而上升,但上升方式有所不同。弱抗品种该基因表达更早,转录本增加速率更大,且在4~5 天可达到平台期。发芽7 天中,抗性品种总转录水平明显低于易感品种。本研究结果表明,青稞Amy1 基因的转录水平是与其穗发芽抗性高度相关。 我国青藏高原青稞,尤其是农家品种的穗发芽抗性具有丰富的变异,蕴藏着穗发芽抗性育种的宝贵资源。本研究为青稞穗发芽抗性育种建立了合理抗性评价体系,筛选出可供育种使用的特殊材料,阐明了农艺性状可辅助穗发芽抗性育种,同时还对穗发芽抗性与α-淀粉酶基因的结构和表达关系进行分析,为青稞穗发芽抗性资源筛选奠定了基础。 Preharvest sprouting (PHS) is a serious problem in crop production. It often takes place when encountering damp, cold conditions at harvest time and results in the decrease of grain quality and great loss of yield by triggering the synthesis of endosperm degrading enzymes (mostly the α-amylase). Therefore, PHS is regarded as an important criterion for crop breeding. In order to minimize the risk of PHS, resistant genotypes are highly required. Hulless barley (Hordeum vulgare ssp. vulgare) is the staple food crop in Qinghai-Tibetan Plateau from of old, where is one of the origin and genetic diversity centers of hulless barley. Recently, interest in hulless barley has been sparked throughout the world due to the demonstrations of its great potential in health food industry and fuel alcohol production. Indeed, hulless barley can also be utilized to produce good quality malt if the appropriate malting conditions are used. In China, overcast and rainy conditions often occur at maturity of hulless barley and cause an adverse on its production and application. PHS resistant genotypes, therefore, are highly required for the hulless barley breeding programs. However, few investigations have been made so far on this issue. The objectives of this study were: 1) to assessment of methods used in testing preharvest sprouting resistance in hulless barley; 2) to evaluate the variability and characteristics of PHS resistance of hulless barley from Qinghai-Tibet Plateau in China; 3) to select potential parents for PHS resistance breeding; 4) to primarily study on the molecular mechanism of PHS resistance of hulless barley. Our results are as followed: 1. We investigated the temperature effects on seed germination and seed dormancy expression of hulless barley, discussed appropriate temperature range for screening of PHS resistant varieties, and analyzed the mechanism of seed dormancy expression of hulless barley. The dormancy level of 13 hulless barley were evaluated by GI (germination index) values calculating by seed germination tests at temperature of 10,15,20,25,30℃ in darkness. There were great differences in temperature sensitivity among these accessions. The insensitive accessions showed low dormancy at any temperature while the dormancy expression of sensitive accessions could be restrained by low temperature and induced by high temperature. The temperature range of 15℃ to 25℃ was workable for estimating of dormancy level of hulless barley according to our data. Analysis of α-amylase activity showed that the temperature effects on seed germination and the expression of seed dormancy be achieved probable via regulating of α-amylase activity. Furthermore, we evaluated the differences in sprouting index (SI), sprouting rate (SR), germination index (GI) and α-amylase activity (AA) between Maerkang and Chengdu among 34 accessions of hulless barley from Qinghai-Tibetan Plateau in China. These PHS sprouting parameters were significantly affected by accession×location, and they had correlation between each other. GI was the most reliable parameter because of its low CV value, good repeatability and simple operation. SI could assist in differentiating between accessions of similar dormancy or overall evaluation of the resistance. AA was bad in repeatability and had relatively complex testing method, therefore, not appropriate for breeding and evaluation and screening of PHS resistant materials. Besides, since PHS resistance of hulless barley was greatly influenced by its growth environment, possibly much influencing factors and variations between cultivated conditions should be considered. 2. In this study, large variation was found among 113 genotypes of hulless barley (Hordeum vulgare ssp.vulgare) from Qinghai-Tibetan Plateau in China, based on the sprouting index (SI), germination index (GI) and α-amylase activity (AA) which derived from sprouting test of intact spikes, germination test of threshed seeds and determination of α-amylase activity, respectively. The range of SI, GI and AA was 1.00~8.86, 0.01~0.97 and 0.00~2.76,the mean was 4.72, 0.63 and 1.22 espectively. Six resistant genotypes, including ‘XQ9-5’, ‘XQ33-9’, ‘XQ37-5’, ‘XQ42-9’, ‘XQ45-7’ and ‘JCL’, were identified based on SI. Integrating the three parameters, it was clear that both hulls and seeds involved in PHS resistance in intact spikes of hulless barley and there was no long-existent embryo dormancy found among the test genotypes. All the genotypes, except ‘XQ45-7’, had detectable α-amylase activity on the 4th day after germination. There was PHS resistance imposed by the hull and seed per se and the two factors can act together or independent of each other. Besides, landraces or Tibet hulless barley had a wider variation and relatively more PHS resistance when compared with cultivars or Sichuan hulless barley. No significant difference was found among hulless barley of different seed colors. The correlation analysis showed PHS resistance was negatively related to hundred grain weight, days to flowering, days to maturity, spike length, awn length and flag length but not related to plant height. This study provides essential information and several donor parents for breeding of resistance to PHS. 3. Alpha-amylase isozymes are encoded by a family of multigenes. They highly express in germinating seeds and is closely related to seed germination ability. In barley germinating seeds, the activity of high pI α-amylase is much higher than low pI α-amylase. The aim of this study was to determine the relationship between preharvest sprouting resistance of hulless barley and the gene structure of Amy1 gene which encodes high pI α-amylase. The coding region and cDNA of Amy1 gene of three resistant accessions, including ‘XQ32-5’ (TR1), ‘XQ37-5’ (TR2), ‘XQ45-7’ (TR3), two susceptible accessions ‘97-15’ (TS1), ‘9657’ (TS2) and one highly dormant barley accession ‘SAMSON’ (SAM) was cloned. Analysis of their DNA sequences revealed there were three exons and two introns in Amy1 gene. Thirteen variable sites were in exon2 and exon3, 2 variable sites were in intron2. SAM and TS1 had a GAACT insert segment in the same site in intron2. Only 8 variable sites caused the change of amino acid residues. There were 99% of similarity between the tested hulless barley and some of the variable sites might be related with preharvest sprouting resistance. Then, we investigated the expression level of Amy1 gene in the 7-day germination test. Results of quantitative real-time PCR indicated that the relative expression trends of Amy1 gene were the same but had significant differences in the increase fashion between hulless barleys and no detectable expression was found in SAM. Susceptible accessions had earlier expression and faster increase and reached the maximum on day 4 ~ day 5. Besides, total transcripts level was found lower in resistant accessions than susceptible accessions. This study indicated that α-amylase activity was highly related to the transcription level of Amy1 gene which not correlated to missense mutation sites. In conclusion, hulless barley, especially the landraces from Qinghai-Tibetan Plateau in China possesses high degree of variation in PHS performance, which indicates the potential of Tibetan hulless barley as a good source for breeding of resistance to PHS. This study provides several donor parents for breeding of resistance to PHS. Our results also demonstrate that agronomic traits may be used as assistants for PHS resistance selection in hulless barley. Besides, analysis of high pI α-amylase coding gene Amy1 revealed the relative high expression of was Amy1 one of the mainly reason of different PHS resistance level in hulless barley.
Resumo:
A number of methods are available for those researchers considering the addition of molecular analyses of ectomycorrhizal (EcM) fungi to their research projects and weighing the various approaches they might take. Analyzing natural EcM fungal communities has traditionally been a highly skilled, time-consuming process relying heavily on exacting morphological characterization of EcM root tips. Increasingly powerful molecular methods for analyzing EcM communities make this area of research available to a much wider range of researchers. Ecologists can gain from the body of work characterizing EcM while avoiding the requirement for exceptional expertise by carefully combining elements of traditional methods with the more recent molecular approaches. A cursory morphological analysis can yield a traditional quantification of EcM fungi based on tip numbers, a unit with functional and historical significance. Ectomycorrhizal root DNA extracts may then be analyzed with molecular methods widely used for characterizing microbiota. These range from methods applicable only to the simple mixes resulting from careful morphotyping, to community-oriented methods that identify many types in mixed samples as well as provide an estimate of their relative abundances. Extramatrical hyphae in bulk soil can also be more effectively studied, extending characterization of EcM fungal communities beyond the rhizoplane. The trend toward techniques permitting larger sample sets without prohibitive labor and time requirements will also permit us to more frequently address the issues of spatial and temporal variability and better characterize the roles of EcM fungi at multiple scales.
Resumo:
Two kinds of polymeric pH indicators PPF (phenolphthalein-formaldehyde product) and CPF (o-cresolphthalein-formaldehyde product) immobilized cross-linked poly(vinyl alcohol) membranes (PPF-PVA and CPF-PVA) for optical intermittent determination of high basicity ([OH-] = 1-8 M) based on a kinetic process were developed. In our previous work, we had demonstrated that PPF-PVA and CPF-PVA could perform the determination of high pH values from pH 10.0 to 14.0. Here the discoloring kinetic behaviors of PPF-PVA and CPF-PVA were compared with those of free phenolphthalein, o-cresolphthalein and thymolphthalein. Experimental results and theoretical analysis indicated that the response behaviors of the optodes' membranes in concentrated NaOH solutions were diffusion-independent and still complied with the pseudo-first-order kinetics. In addition, two data analysis methods for determination were presented. One was directly based on the reduced absorbance: the other was based on the discoloring kinetic constant. It was found that the latter could perform a rapid (60 s) and reliable (relative standard deviation: 2.6%) determination for high basicity.
Resumo:
A digital image analysis(DIA) technique can be applied directly to the image obtained by polarizing microscope. The time-resolved DIA apparatus including image collecting, showing and data analysis has been home-made. As an example, it has been used to study the banded spherulite in the blends of poly(epsilon-caprolactone) (PCL) and poly(styrene-ran-acrylonitrile) (SAN).