|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Protection Challenges Under Bulk Penetration of Renewable Energy Resources in Power Systems:A Review显示文摘Among different sources of alternate energy,wind and solar are two prominent and promising alternatives to meet the future electricity needs for mankind.Generally,these sources are integrated at the distribution utilities to supply the local distribution customers.If the power generated by these sources is bulk,then they are either integrated at the distribution/transmission level or may be operated in an island mode if feasible.The integration of these renewables in the power network will change the fault level and network topologies.These fault levels are intermittent in nature and existing protection schemes may fail to operate because of their pre-set condition.Therefore,the design and selection of a proper protection scheme is very much essential for reliable control and operation of renewable integrated power systems.Depending upon the level of infeed and location of the renewable integration,the protection requirements are different.For low renewable infeed at the distribution level,the existing relay settings are immune from any small change in the network fault current from new incoming renewables.However,bulk renewable infeed requires modification in the existing protection schemes to accommodate the fault current variation from the incoming renewables.For bulk penetration of the renewable,the requirement of modified/additional protection schemes is unavoidable.Adaptive relaying and non-adaptive relaying schemes are discussed in the literature for protection of power networks,which are experiencing dynamic fault currents and frequent changing network topologies.This article presents a detailed review of protection schemes for renewable integrated power networks which includes distribution,transmission and microgrid systems.The merits and demerits of these protection schemes are also identified in this article for the added interest of the readers.The visible scope of advance protection schemes which may be suitable for providing reliable protection for dynamic fault current networks is also explored. | Vishnuvardhan Telukunta Janmejaya Pradhan Anubha Agrawal Manohar Singh | 2017 | CSEE Journal of Power and Energy Systems2017，3，4： | 33 |
| 2 | 利用光学遥感数据、GIS及人工神经网络模型分析区域滑坡灾害(英文)显示文摘用光学遥感数据和地理信息系统(GIS)分析了马来西亚Selangor地区的滑坡灾害。通过遥感图像解译和野外调查,在研究区内确定出滑坡发生区。通过GIS和图像处理,建立了一个集地形、地质和遥感图像等多种信息的空间数据库。滑坡发生的因素主要为:地形坡度、地形方位、地形曲率及与排水设备距离;岩性及与线性构造距离;TM图像解译得到的植被覆盖情况;Landsat图像解译得到的植被指数;降水量。通过建立人工神经网络模型对这些因素进行分析后得到滑坡灾害图:由反向传播训练方法确定每个因素的权重值,然后用该权重值计算出滑坡灾害指数,最后用GIS工具生成滑坡灾害图。用遥感解译和野外观测确定出的滑坡位置资料验证了滑坡灾害图,准确率为82.92%。结果表明推测的滑坡灾害图与滑坡实际发生区域足够吻合。 | Biswajeet Pradhan Saro Lee | 2007 | 地学前缘2007，14，6： | 29 |
| 3 | Isoniazid metabolism and hepatotoxicity显示文摘Isoniazid(INH) is highly effective for the management of tuberculosis.However,it can cause liver injury and even liver failure.INH metabolism has been thought to be associated with INH-induced liver injury.This review summarized the metabolic pathways of INH and discussed their associations with INH-induced liver injury. | Pengcheng Wang Komal Pradhan Xiao-bo Zhong Xiaochao Ma | 2016 | Acta Pharmaceutica Sinica B2016，6，5： | 19 |
| 4 | Nano-formulations for transdermal drug delivery:A review显示文摘Transdermal drug delivery refers to a means of delivering drugs through the surface of the skin for local or systemic treatment. The drug functions after absorption through the skin into the systemic circulation via capillary action at a certain rate. Use of traditional physical and chemical enhancers to improve the transdermal permeation rate by increasing drug solubility, diffusion coefficient, and reservoir effect is not feasible owing to the toxic side effects of the overuse of chemical penetration enhancers. Nanoformulations generally vary in size and range from 10 nm to 100 nm. The smaller particle size leads to increased drug permeability, stability, retention, and targeting, making nano-formulations suitable for transdermal drug delivery. The different applications of nano-formulations(vesicles or nanoparticles and nanoemulsions) have been widely studied. Here, the classification, characteristics, transdermal mechanism, and application of the most popular nano-formulations in transdermal drug delivery system are reviewed. | Xingli Zhou Ying Hao Liping Yuan Sushmita Pradhan Krista Shrestha Ojaswi Pradhan Hongjie Liu Wei Li | 2018 | Chinese Chemical Letters2018，29，12： | 17 |
| 5 | 天然水蛭素联合高压氧治疗对大鼠随意皮瓣成活的影响研究显示文摘目的探讨天然水蛭素联合高压氧治疗对大鼠随意皮瓣成活的影响。方法取72只SD大鼠,于背部制备面积为10.0 cm×2.5 cm的随意皮瓣移植模型后,随机分为4组(n=18)。对照组术后即刻及之后4 d内注射生理盐水,高压氧组注射生理盐水同时行高压氧治疗,水蛭素组仅注射天然水蛭素,联合组注射天然水蛭素同时行高压氧治疗。术后大体观察皮瓣成活情况,第6天计算皮瓣成活率;第2、4天取材,HE染色观察皮瓣组织学变化;免疫组织化学染色检测皮瓣微血管密度(microvessel density,MVD)以及TNF-α表达水平。结果术后各组皮瓣均出现部分坏死,其中联合组皮瓣成活最佳;术后第6天高压氧组、水蛭素组及联合组皮瓣成活率明显高于对照组,联合组高于水蛭素组、高压氧组,比较差异有统计学意义(P<0.05);水蛭素组与高压氧组比较,差异无统计学意义(P>0.05)。组织学观察示,术后第2天,水蛭素组、高压氧组及联合组微血管结构较对照组多,各组均见炎性细胞浸润;第4天,高压氧组、水蛭素组及联合组中仍可见较多微血管形成,对照组中见大量炎性细胞浸润,其余各组炎性细胞均较术后第2天时明显减少。免疫组织化学染色观察示,术后第2天,高压氧组、水蛭素组及联合组MVD均显著高于对照组、TNF-α蛋白表达量显著低于对照组(P<0.05);高压氧组、水蛭素组及联合组以上指标比较,差异无统计学意义(P>0.05)。术后第4天,高压氧组、水蛭素组及联合组MVD均显著高于对照组,联合组及水蛭素组高于高压氧组,比较差异有统计学意义(P<0.05),联合组及水蛭素组间比较差异无统计学意义(P>0.05);高压氧组、水蛭素组及联合组TNF-α蛋白表达量显著低于对照组,联合组低于水蛭素组及高压氧组,比较差异有统计学意义(P<0.05),水蛭素组及高压氧组间比较差异无统计学意义(P>0.05)。结论高压氧和天然水蛭素干预均能提高随意皮瓣移植后成活率,且两者联合发挥协同效应,可能与促进血管生成和减轻炎性反应有关。 | 蔡洁云 林博杰 潘新元 崔佳 Pradhan Rohan 殷国前 | 2018 | 中国修复重建外科杂志2018，32，4： | 11 |
| 6 | GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms显示文摘In this study, a novel approach of the landslide numerical risk factor(LNRF) bivariate model was used in ensemble with linear multivariate regression(LMR) and boosted regression tree(BRT) models, coupled with radar remote sensing data and geographic information system(GIS), for landslide susceptibility mapping(LSM) in the Gorganroud watershed, Iran. Fifteen topographic, hydrological, geological and environmental conditioning factors and a landslide inventory(70%, or 298 landslides) were used in mapping. Phased array-type L-band synthetic aperture radar data were used to extract topographic parameters. Coefficients of tolerance and variance inflation factor were used to determine the coherence among conditioning factors. Data for the landslide inventory map were obtained from various resources, such as Iranian Landslide Working Party(ILWP), Forestry, Rangeland and Watershed Organisation(FRWO), extensive field surveys, interpretation of aerial photos and satellite images, and radar data. Of the total data, 30% were used to validate LSMs, using area under the curve(AUC), frequency ratio(FR) and seed cell area index(SCAI).Normalised difference vegetation index, land use/land cover and slope degree in BRT model elevation, rainfall and distance from stream were found to be important factors and were given the highest weightage in modelling. Validation results using AUC showed that the ensemble LNRF-BRT and LNRFLMR models(AUC = 0.912(91.2%) and 0.907(90.7%), respectively) had high predictive accuracy than the LNRF model alone(AUC = 0.855(85.5%)). The FR and SCAI analyses showed that all models divided the parameter classes with high precision. Overall, our novel approach of combining multivariate and machine learning methods with bivariate models, radar remote sensing data and GIS proved to be a powerful tool for landslide susceptibility mapping. | Alireza ARABAMERI Biswajeet PRADHAN Khalil REZAE Masoud SOHRABI Zahra KALANTARI | 2019 | Journal of Mountain Science2019，16，3： | 11 |
| 7 | Approaches for Delineating Landslide Hazard Areas Using Different Training Sites in an Advanced Artificial Neural Network Model显示文摘The current paper presents landslide hazard analysis around the Cameron area, Malaysia, using advanced artificial neural networks with the help of Geographic Information System (GIS) and remote sensing techniques. Landslide locations were determined in the study area by interpretation of aerial photographs and from field investigations. Topographical and geological data as well as satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. Ten factors were selected for landslide hazard including: 1) factors related to topography as slope, aspect, and curvature; 2) factors related to geology as lithology and distance from lineament; 3) factors related to drainage as distance from drainage; and 4) factors extracted from TM satellite images as land cover and the vegetation index value. An advanced artificial neural network model has been used to analyze these factors in order to establish the landslide hazard map. The back-propagation training method has been used for the selection of the five different random training sites in order to calculate the factor's weight and then the landslide hazard indices were computed for each of the five hazard maps. Finally, the landslide hazard maps (five cases) were prepared using GIS tools. Results of the landslides hazard maps have been verified using landslide test locations that were not used during the training phase of the neural network. Our findings of verification results show an accuracy of 69%, 75%, 70%, 83% and 86% for training sites 1, 2, 3, 4 and 5 respectively. GIS data was used to efficiently analyze the large volume of data, and the artificial neural network proved to be an effective tool for landslide hazard analysis. The verification results showed sufficient agreement between the presumptive hazard map and the existing data on landslide areas. | Biswajeet Pradhan Ahmed M. Youssef Renuganth Varathrajoo | 2010 | Geo-Spatial Information Science2010，13，2： | 10 |
| 8 | A review of neural networks in plant disease detection using hyperspectral data显示文摘This paper reviews advanced Neural Network(NN)techniques available to process hyperspectral data,with a special emphasis on plant disease detection.Firstly,we provide a review on NN mechanism,types,models,and classifiers that use different algorithms to process hyperspectral data.Then we highlight the current state of imaging and nonimaging hyperspectral data for early disease detection.The hybridization of NNhyperspectral approach has emerged as a powerful tool for disease detection and diagnosis.Spectral Disease Index(SDI)is the ratio of different spectral bands of pure disease spectra.Subsequently,we introduce NN techniques for rapid development of SDI.We also highlight current challenges and future trends of hyperspectral data. | Kamlesh Golhani Siva K.Balasundram Ganesan Vadamalai Biswajeet Pradhan | 2018 | Information Processing in Agriculture2018，5，3： | 9 |
| 9 | Position Control of a Flexible Manipulator Using a New Nonlinear Self-Tuning PID Controller显示文摘In this paper, a new nonlinear self-tuning PID controller(NSPIDC) is proposed to control the joint position and link deflection of a flexible-link manipulator(FLM) while it is subjected to carry different payloads. Since, payload is a critical parameter of the FLM whose variation greatly influences the controller performance. The proposed controller guarantees stability under change in payload by attenuating the non-modeled higher order dynamics using a new nonlinear autoregressive moving average with exogenous-input(NARMAX) model of the FLM. The parameters of the FLM are identified on-line using recursive least square(RLS) algorithm and using minimum variance control(MVC) laws the control parameters are updated in real-time. This proposed NSPID controller has been implemented in real-time on an experimental set-up. The joint tracking and link deflection performances of the proposed adaptive controller are compared with that of a popular direct adaptive controller(DAC). From the obtained results, it is confirmed that the proposed controller exhibits improved performance over the DAC both in terms of accurate position tracking and quick damping of link deflections when subjected to variable payloads. | Santanu Kumar Pradhan Bidyadhar Subudhi | 2020 | IEEE/CAA Journal of Automatica Sinica2020，7，1： | 8 |
| 10 | 基于MODIS的西藏高原土地覆盖分类研究显示文摘嵌的MODIS遥感图像,用最大似然估计分类器对西藏高原的土地覆盖类型进行了分类,并采用西藏高原数字高程模型(DEM)对MODIS分类结果进行了分析和改进,最后分别用混淆矩阵和图集中西藏高原植被分类汇总面积对MODIS土地覆盖分类结果进行了分类精度评价。结果表明:①MODIS遥感图像能够有效地分类出西藏高原的主要土地覆盖类型;②根据西藏高原植被的垂直带性分布特点,由DEM改进的MODIS土地覆盖分类精度明显提高,主要土地覆盖类型的面积绝对误差都小于2%,其中,河流与湖泊、森林、高寒荒漠、作物和山地草原的绝对误差都在1%以下;③混淆矩阵分析的平均分类精度为87.68%。 | 除多 Basanta Shrestha 王伟 张镱锂 刘林山 Shushil Pradhan | 2010 | 资源科学2010，32，11： | 7 |
| 11 | 弱视儿童的临床概况和遮盖治疗结果显示文摘目的:研究弱视的临床表现,以及对弱视患者进行遮盖治疗的效果。方法:纵向研究。收集2015-04/2016-04 Dhulikhel医院眼科1092例患者数据。对检出的弱视60例患儿的视力、主诉、年龄、屈光状态、双眼屈光度和注视方式进行评估。并对检出的弱视患儿进行遮盖治疗。结果:在研究期间接受检查的1092例儿童中,60例(5.49%)为弱视患者,其中,女性35例(58.30%),男性25例(41.70%),平均年龄为8.87±3.29岁。在43.3%(n=26)的弱视儿童中,经线性弱视是最常见的亚型,其次是远视性屈光参差性弱视(20%,n=12)。最常见的屈光不正是散光,占58.30%,其次是远视(22.50%)和近视(7.50%)。配戴眼镜联合遮盖治疗和主动视觉训练的依从性为73.30%(n=44)。3mo后不同治疗策略对弱视眼视力有显著改善(P=0.002)。结论:在尼泊尔等发展中国家,弱视发病率和相关的视力损害仍然是一个公共卫生问题。意识的缺乏,社区或学龄前儿童视力筛查的缺乏,会导致儿童较晚出现症状,并最终导致明显的视力损害。通过筛选就诊地点、及时转诊和适当的干预措施,这种状况可得到改善。 | Raju Kaiti Pabita Dhungel Asik Pradhan Monica Chaudhry | 2020 | 国际眼科杂志2020，20，11： | 7 |
| 12 | 印度亚拉文眼科模式(英文)显示文摘印度亚拉文医院是世界卫生组织合作单位,创造了“大规模、高质量、低成本”的眼科医疗模式,2005年,医院门诊量达163万多,手术超过22万例,其中白内障手术达16万多例,为世界之最。如何有效地借鉴印度亚拉文的模式为我所用,成为中国眼科界同仁日益热烈讨论的一个话题。本刊特邀印度亚拉文医院的主要负责人就该模式的特点撰文介绍。 | Srinivasan M Thulasiraj RD Preethi Pradhan Veni G | 2006 | 眼视光学杂志2006，8，2： | 6 |
| 13 | Sarcastic sentiment detection in tweets streamed in real time: a big data approach显示文摘 | S.K. Bharti B. Vachha R.K. Pradhan K.S. Babu S.K. Jena | 2016 | Digital Communications and Networks2016，2，3： | 6 |
| 14 | 痤疮相关微生物菌群间相互作用机制研究进展显示文摘痤疮是毛囊皮脂腺的一种慢性炎症性疾病,痤疮皮损内主要菌群包括丙酸杆菌、葡萄球菌、马拉色菌等,各菌通过分泌、诱导合成各种细胞因子、蛋白酶、脂肪酸,彼此形成复杂的分子信号网络,最终调控宿主皮肤细胞内外的炎症反应。本文就痤疮皮损中主要的细菌与真菌间的相互作用及可能机制进行阐述。 | 徐小茜 Sushmita Pradhan 冉玉平 | 2021 | 中国皮肤性病学杂志2021，35，2： | 6 |
| 15 | Landslide Susceptibility Mapping along Bhalubang–Shiwapur Area of Mid-Western Nepal Using Frequency Ratio and Conditional Probability Models显示文摘Roads constructed in fragile Siwaliks are prone to large number of instabilities. Bhalubang–Shiwapur section of Mahendra Highway lying in Western Nepal is one of them. To understand the landslide causative factor and to predict future occurrence of the landslides, landslide susceptibility mapping(LSM) of this region was carried out using frequency ratio(FR) and weights-of-evidence(W of E) models. These models are easy to apply and give good results. For this, landslide inventory map of the area was prepared based on the aerial photo interpretation, from previously published/unpublished reposts, and detailed field survey using GPS. About 332 landslides were identified and mapped, among which 226(70%) were randomly selected for model training and the remaining 106(30%) were used for validation purpose. A spatial database was constructed from topographic, geological, and land cover maps. The reclassified maps based on the weight values of frequency ratio and weights-of-evidence were applied to get final susceptibility maps. The resultant landslide susceptibility maps were verified andcompared with the training data, as well as with the validation data. From the analysis, it is seen that both the models were equally capable of predicting landslide susceptibility of the region(W of E model(success rate = 83.39%, prediction rate = 79.59%); FR model(success rate = 83.31%, prediction rate = 78.58%)). In addition, it was observed that the distance from highway and lithology, followed by distance from drainage, slope curvature, and slope gradient played major role in the formation of landsides. The landslide susceptibility maps thus produced can serve as basic tools for planners and engineers to carry out further development works in this landslide prone area. | Amar Deep REGMI Kohki YOSHIDA Hamid Reza POURGHASEMI Megh Raj DHITAL Biswajeet PRADHAN | 2014 | Journal of Mountain Science2014，11，5： | 5 |
| 16 | Integrated model for earthquake risk assessment using neural network and analytic hierarchy process:Aceh province,Indonesia显示文摘Catastrophic natural hazards,such as earthquake,pose serious threats to properties and human lives in urban areas.Therefore,earthquake risk assessment(ERA)is indispensable in disaster management.ERA is an integration of the extent of probability and vulnerability of assets.This study develops an integrated model by using the artificial neural network–analytic hierarchy process(ANN–AHP)model for constructing the ERA map.The aim of the study is to quantify urban population risk that may be caused by impending earthquakes.The model is applied to the city of Banda Aceh in Indonesia,a seismically active zone of Aceh province frequently affected by devastating earthquakes.ANN is used for probability mapping,whereas AHP is used to assess urban vulnerability after the hazard map is created with the aid of earthquake intensity variation thematic layering.The risk map is subsequently created by combining the probability,hazard,and vulnerability maps.Then,the risk levels of various zones are obtained.The validation process reveals that the proposed model can map the earthquake probability based on historical events with an accuracy of 84%.Furthermore,results show that the central and southeastern regions of the city have moderate to very high risk classifications,whereas the other parts of the city fall under low to very low earthquake risk classifications.The findings of this research are useful for government agencies and decision makers,particularly in estimating risk dimensions in urban areas and for the future studies to project the preparedness strategies for Banda Aceh. | Ratiranjan Jena Biswajeet Pradhan Ghassan Beydoun Nizamuddin Ardiansyah Hizir Sofyan Muzailin Affan | 2020 | Geoscience Frontiers2020，11，2： | 5 |
| 17 | 不同再治疗器械去除根充物效果的比较研究显示文摘目的:评价H锉、Pro Taper Universal Retreatment和D-Ra Ce 3种根管再治疗器械去除根充物的效果。方法:将45颗因正畸拔除的单根管下颌前磨牙行根管充填后随机分为3组(n=15),分别用H锉(A组)、Pro Taper Universal Retreatment(B组)和D-Ra Ce(C组)再治疗锉配合氯仿溶剂去除根充物,记录到达工作长度的时间(T1)、预备完成所用总时间(T2),收集根尖外推出物并称重,从颊舌向和近远中向拍摄数码X线片,用Auto-CAD软件测量根管壁上残留充填物的覆盖面积,并评价其占整个根管壁面积的百分比。结果:所有样本根管内均有充填物残留,A组管壁充填物的残留量最少,明显低于B、C组(P<0.05),C组管壁充填物的残留量最多,高于B组(P<0.05)。与手用H锉相比,应用机用镍钛器械再治疗锉显著减少了再治疗所需的时间(P<0.05);B和C两组耗时无统计学差异(P>0.05)。B组根尖外推出物最多,高于C组和A组(P<0.05)。结论:使用机用镍钛再治疗器械,根管内残留物和根尖外推出物较多,但可缩短操作时间。 | 甘艳 叶惟虎 杨焰 Avisha Pradhan 马净植 | 2016 | 临床口腔医学杂志2016，32，4： | 5 |
| 18 | Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks显示文摘In recent years,landslide susceptibility mapping has substantially improved with advances in machine learning.However,there are still challenges remain in landslide mapping due to the availability of limited inventory data.In this paper,a novel method that improves the performance of machine learning techniques is presented.The proposed method creates synthetic inventory data using Generative Adversarial Networks(GANs)for improving the prediction of landslides.In this research,landslide inventory data of 156 landslide locations were identified in Cameron Highlands,Malaysia,taken from previous projects the authors worked on.Elevation,slope,aspect,plan curvature,profile curvature,total curvature,lithology,land use and land cover(LULC),distance to the road,distance to the river,stream power index(SPI),sediment transport index(STI),terrain roughness index(TRI),topographic wetness index(TWI)and vegetation density are geo-environmental factors considered in this study based on suggestions from previous works on Cameron Highlands.To show the capability of GANs in improving landslide prediction models,this study tests the proposed GAN model with benchmark models namely Artificial Neural Network(ANN),Support Vector Machine(SVM),Decision Trees(DT),Random Forest(RF)and Bagging ensemble models with ANN and SVM models.These models were validated using the area under the receiver operating characteristic curve(AUROC).The DT,RF,SVM,ANN and Bagging ensemble could achieve the AUROC values of(0.90,0.94,0.86,0.69 and 0.82)for the training;and the AUROC of(0.76,0.81,0.85,0.72 and 0.75)for the test,subsequently.When using additional samples,the same models achieved the AUROC values of(0.92,0.94,0.88,0.75 and 0.84)for the training and(0.78,0.82,0.82,0.78 and 0.80)for the test,respectively.Using the additional samples improved the test accuracy of all the models except SVM.As a result,in data-scarce environments,this research showed that utilizing GANs to generate supplementary samples is promising because it can improve the predictive capability of common landslide prediction models. | Husam A.H.Al-Najjar Biswajeet Pradhan | 2021 | Geoscience Frontiers2021，12，2： | 5 |
| 19 | 预制混凝土夹心保温外墙板性价比分析显示文摘介绍了预制混凝土夹心保温外墙板的制作工艺,从性能和造价两方面,对预制混凝土夹心保温外墙板与传统砌筑墙体进行了对比,从而体现出预制混凝土夹心保温外墙板具有良好的社会经济效益。 | 郑东华 Rk Pradhan | 2016 | 山西建筑2016，42，13： | 4 |
| 20 | Genetic Relationship and Structure Analysis of Root Growth Angle for Improvement of Drought Avoidance in Early and Mid-Early Maturing Rice Genotypes显示文摘Deeper rooting 1(Dro1)and Deeper rooting 2(Dro2)are the QTLs that contribute considerably to root growth angle assisting in deeper rooting of rice plant.In the present study,a set of 348 genotypes were shortlisted from rice germplasm based on root angle study.Screening results of the germplasm lines under drought stress identified 25 drought tolerant donor lines based on leaf rolling,leaf drying,spikelet fertility and single plant yield.A panel containing 101 genotypes was constituted based on screening results and genotyped using Dro1 and Dro2 markers.Structure software categorized the genotypes into four sub-populations with different fixation index values for root growth angle.The clustering analysis and principal coordinate analysis could differentiate the genotypes with or without deeper rooting trait.The dendrogram constructed based on the molecular screening for deep rooting QTLs showed clear distinction between the rainfed upland cultivars and irrigated genotypes.Eleven genotypes,namely Dular,Tepiboro,Surjamukhi,Bamawpyan,N22,Dinorado,Karni,Kusuma,Bowdel,Lalsankari and Laxmikajal,possessed both the QTLs,whereas 67 genotypes possessed only Dro1.The average angle of Dro positive genotypes ranged from 82.7°to 89.7°.These genotypes possessing the deeper rooting QTLs can be taken as donor lines to be used in marker-assisted breeding programs. | Elssa PANDIT Rajendra Kumar PANDA Auromeera SAHOO Dipti Ranjan PANI Sharat Kumar PRADHAN | 2020 | Rice science2020，27，2： | 4 |
您所在的机构暂未开通此部分的功能，请联系管理员