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Evaluation of Morphometric Parameters Studies in Middle-West Part of Kushtia District, Bangladesh, Using Remote Sensing and GIS Techniques
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作者 Khan M. Nasir Uddin Md. Nozibul Haque 《Journal of Geoscience and Environment Protection》 2023年第1期211-231,共21页
This study finds 1D, 2D and 3D morphometric parameters of the middle-west part of Kushtia district, Bangladesh to implement groundwater potential. For this purpose, the SRTM (DEM) data were used to compute different p... This study finds 1D, 2D and 3D morphometric parameters of the middle-west part of Kushtia district, Bangladesh to implement groundwater potential. For this purpose, the SRTM (DEM) data were used to compute different parameters in GIS environment. The values of 1D parameters like stream order, stream length and mean bifurcation ratio was calculated as 6, 1774.72 km and 2.08 respectively. The computed values of drainage density (0.01 - 23.06 km/km<sup>2</sup>), stream frequency (1 - 5.64 per km<sup>2</sup>), drainage texture (0.25 - 0.70 km/km<sup>4</sup>), length of overland flow (0.02 - 45.05 km<sup>2</sup>/km), constant of channel maintenance (0.04  - 90.04 km<sup>2</sup>/km), circularity ratio (0.39 - 0.84), form factor (0.35), elongation ratio (0.62), relief ratio (0.00 - 1.81) and ruggedness number (0.04 - 214.72) disclose the morphometrical conditions of the study area. The results revealed from this study on drainage morphometry can be a great assistance for understanding the hydro-geomorphological character of the area. 展开更多
关键词 GIS SRTM (DEM) morphometric parameters Groundwater
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Effect of Low Gamma Irradiation on the Germination and Morphological Characteristics of Broad Beans (Vicia faba L.), Mung Beans (Vigna radiata L.), and Peas (Pisum sativum L.) Seedlings
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作者 Abidemi Atteh Adesoji Adeyeye 《Natural Resources》 2022年第5期105-125,共21页
Understanding the effects of ionising radiation (IR) on plants has been a major focus of research. Acute high-dose effects are well-documented and understood (mainly through laboratory testing). Lower doses, on the ot... Understanding the effects of ionising radiation (IR) on plants has been a major focus of research. Acute high-dose effects are well-documented and understood (mainly through laboratory testing). Lower doses, on the other hand, are less understood, as low dosage research is controversial, and there are only a few studies that use low and ecologically relevant IR levels, particularly those conducted under controlled conditions. The effect of low gamma radiation was investigated in this study using Vicia faba L., Vigna radiata L., and Pisum sativum L. Healthy and viable seeds of these plants were irradiated with varying doses of gamma radiation (Cs<sup>&#8722;</sup><sup>137</sup> source) and sown under controlled environmental conditions. The doses/dose rates used were within the scope of the International Commission on Radiological Protection’s Derived Consideration Reference Level (DCRL) for these groups of plants (1 - 10 mGy&#8729;d<sup>&#8722;1</sup>), so this study tested this DCRL. Observations were made on certain germination parameters and growth traits like germination percentage and rate, shoot and root length, seed weight, number of leaves, wet and dry biomass, plant height, leaf chlorophyll content, and leaf area. In the germination phase, the doses employed in this experiment did not affect the seeds’ weight, germination percentage, and rate, but there were some interesting effects on the root and shoot length;as all irradiated groups performed better than the control group (particularly the 16.2 mGy and 48.5 mGy dose in V. radiata and P. sativum, while the 1070 mGy dose had the highest value in V. faba). However, the plants were able to compensate for the effects observed in the germination phase and by the end of the experiment, there were no statistically significant effects (at 0.05 p level) in all the morphometric parameters studied;the visible organs appeared normal, and growth rate was normal. This study, therefore, concludes that the DCRL used to protect these groups of plants from the effects of IR (1 - 10 mGy&#8729;d<sup>&#8722;1</sup>) is appropriate and present regulation appears to be suitable. 展开更多
关键词 Ionising Radiation morphometric parameters Germination parameters ICRP DCRLs
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Sensors for measuring plant phenotyping:A review 被引量:6
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作者 Ruicheng Qiu Shuang Wei +4 位作者 Man Zhang Han Li Hong Sun Gang Liu Minzan Li 《International Journal of Agricultural and Biological Engineering》 SCIE EI CAS 2018年第2期1-17,共17页
Food crisis is a matter of prime importance because it becomes more severe as the global population grows.Among the solutions to this crisis,breeding is deemed one of the most effective ways.However,traditional phenot... Food crisis is a matter of prime importance because it becomes more severe as the global population grows.Among the solutions to this crisis,breeding is deemed one of the most effective ways.However,traditional phenotyping in breeding is time consuming and laborious,and the database is insufficient to meet the requirements of plant breeders,which hinders the development of breeding.Accordingly,innovations in phenotyping are urgent to solve this bottleneck.The morphometric and physiological parameters of plant are particularly interested to breeders.Numerous sensors have been employed and novel algorithms have been proposed to collect data on such parameters.This paper presents a brief review on the parameter measurement for phenotyping to describe its development in recent years.Some parameters that have been measured in phenotyping are introduced and discussed,including plant height,leaf parameters,in-plant space,chlorophyll,water stress,and biomass.And the measurement methods of each parameter with different sensors were classified and compared.Some comprehensive measurement platforms were also summarized,which are able to measure several parameters simultaneously.Besides,some deficiencies of phenotyping should be addressed,and novel methods should be proposed to reduce cost,improve efficiency,and promote phenotyping in the future. 展开更多
关键词 plant phenotype high-throughput phenotyping sensor morphometric parameters physiological parameters
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