• Title/Summary/Keyword: Monitoring of Plant Growth

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QTL Identification for Slow Wilting and High Moisture Contents in Soybean (Glycine max [L.]) and Arduino-Based High-Throughput Phenotyping for Drought Tolerance

  • Hakyung Kwon;Jae Ah Choi;Moon Young Kim;Suk-Ha Lee
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.25-25
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    • 2022
  • Drought becomes frequent and severe because of continuous global warming, leading to a significant loss of crop yield. In soybean (Glycine max [L.]), most of quantitative trait loci (QTLs) analyses for drought tolerance have conducted by investigating yield changes under water-restricted conditions at the reproductive stages. More recently, the necessity of QTL studies to use physiological indices responding to drought at the early growth stages besides the reproductive ones has arisen due to the unpredictable and prevalent occurrence of drought throughout the soybean growing season. In this study, we thus identified QTLs conferring wilting scores and moisture contents of soybean subjected to drought stress in the early vegetative stage using an recombinant inbred line (RIL) population derived from a cross between Taekwang (drought-sensitive) and SS2-2 (drought-tolerant). For the two traits, the same major QTL was located on chromosome 10, accounting for up to 11.5% of phenotypic variance explained with LOD score of 12.5. This QTL overlaps with a reported QTL for the limited transpiration trait in soybean and harbors an ortholog of the Arabidopsis ABA and drought-induced RING-D UF1117 gene. Meanwhile, one of important features of plant drought tolerance is their ability to limit transpiration rates under high vapor pressure deficiency in response to mitigate water loss. However, monitoring their transpiration rates is time-consuming and laborious. Therefore, only a few population-level studies regarding transpiration rates under the drought condition have been reported so far. Via employing an Arduino-based platform, for the reasons addressed, we are measuring and recording total pot weights of soybean plants every hour from the 1st day after water restriction to the days when the half of the RILs exhibited permanent tissue damage in at least one trifoliate. Gradual decrease in moisture of soil in pots as time passes refers increase in the severity of drought stress. By tracking changes in the total pot weights of soybean plants, we will infer transpiration rates of the mapping parents and their RILs according to different levels of VPD and drought stress. The profile of transpiration rates from different levels of severity in the stresses facilitates a better understanding of relationship between transpiration-related features, such as limited maximum transpiration rates, to water saving performances, as well as those to other drought-responsive phenotypes. Our findings will provide primary insights on drought tolerance mechanisms in soybean and useful resources for improvement of soybean varieties tolerant to drought stress.

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A Study on the Method for Ecological Restoration on Abandoned Concrete-paved Road - Focused on the Experimental Construction Site in Young Dong Province of GyungBu Express Highway(227.24~229.04km) - (콘크리트 폐도의 생태복원 방안 모색에 관한 연구 - 경부선 영동군 황간지역 시험시공지를 중심으로(경부고속도로 227.24~229.04km 지점) -)

  • Kim, Nam Choon;Ann, Phil Gun;No, Su Dae;Kim, Do Hee
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.15 no.4
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    • pp.119-132
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    • 2012
  • The unmanaged abandoned concrete roads are vulnerable toward the issues on soil and water pollution, which requires flexible managing method such as eco-corridor after the process of ecological restoration. Among various alternations of abandoned concrete-paved roads, ecological restoration technique may be the most suitable method in sites including high quality of natural environment. Therefore, as in Young dong province, GyungBu express highway (227.24~229.04km), which is near to Hwang-gan IC, the survey to measure its effect of soil under the paving and water pollution by abandoned concrete roads was discussed. Then, the restoration method of plantings of landscape trees and hydro-seeding methods of artificial soil media was appraised through consecutive monitoring. The soil adequacy analysis shows lower percentage of heavy metal substance in each depth level compared to standard limit stated by the Ministry of Environment, along with low concerns raised after the analysis on heavy metal content of the spilled water on the concrete roads. Meanwhile, Korean Weigela (Weigela subsessilis L.H. Baily) was found to be withered in small-scale landscape trees planting sites. Among the seeding plants. the family of leguminosae, Silene armeria, Dendranthema boreale, Caryopteris incana and Aster yomena show good establishment results. Overall studies on planting of small and large landscape trees, planting method of container plants, planting method of ground cover plants, and germination and development trend of seeding plants of the experimental restoration site on abandoned concrete roads are revealing specific trends in the way landscape woody plants establishment and growth. Finally, this study suggests further studies and survey on varied plant restoration methods on abandoned concrete-roads for developed design guidelines of their methods.

Effect of New Mattress System with Vegetation Base Materials on the Vegetation Coverage of Stream bank (계안 복원을 위한 매트리스형 식생기반재 돌망태 공법의 계안사면 피복효과)

  • Choi, Hyung Tae;Jeong, Yong-Ho;Park, Jae-Hyeon
    • Journal of Korean Society of Forest Science
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    • v.101 no.2
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    • pp.175-184
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    • 2012
  • This study was conducted to develop new mattress systems with vegetation base materials for protecting stream bank and rapid rehabilitation. Vegetation base materials are primarily compounded with fine soil, organic composts and peat moss as plant fibers, a water retainer and a soil improver. Peat moss can usually provide necessary natural fibers and organic materials in soil. Especially, peat moss can absorb up to 25 times its own weight in water and is therefore valued as a water retainer to prevent drying effect of vegetation base materials which can harm the growth of vegetation in mattresses. Normally mattress systems resist the lateral earth pressures or stream power by their own weight. Therefore, filled materials must have suitable weight, compressive strength and durability to resist the loading, as well as the effects of water and weathering. In this project, 100 to 200-mm clean, hard stones were basically specified, and about 50-mm rubbles were also used. Test application of new mattress system carried out in the stream bank of a small stream in the Gwangreung experimental forest, belonging to Korea Forest Research Institute (KFRI) in December 16th, 2006. As a result of the monitoring of vegetation coverage of test application plots (each plot size is 4 by 2 m), the coverage of all plots reached 100% in the end of May, 2007 (approximately 50 days passed after the first gemination of vegetation). The coverage of the plots using big hard stones and organic composts and the plots containing peat moss increased more rapidly. The results show that peat moss is effective to retain soil moisture and establish more sound environment for vegetation gemination.

Prediction of Greenhouse Strawberry Production Using Machine Learning Algorithm (머신러닝 알고리즘을 이용한 온실 딸기 생산량 예측)

  • Kim, Na-eun;Han, Hee-sun;Arulmozhi, Elanchezhian;Moon, Byeong-eun;Choi, Yung-Woo;Kim, Hyeon-tae
    • Journal of Bio-Environment Control
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    • v.31 no.1
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    • pp.1-7
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    • 2022
  • Strawberry is a stand-out cultivating fruit in Korea. The optimum production of strawberry is highly dependent on growing environment. Smart farm technology, and automatic monitoring and control system maintain a favorable environment for strawberry growth in greenhouses, as well as play an important role to improve production. Moreover, physiological parameters of strawberry plant and it is surrounding environment may allow to give an idea on production of strawberry. Therefore, this study intends to build a machine learning model to predict strawberry's yield, cultivated in greenhouse. The environmental parameter like as temperature, humidity and CO2 and physiological parameters such as length of leaves, number of flowers and fruits and chlorophyll content of 'Seolhyang' (widely growing strawberry cultivar in Korea) were collected from three strawberry greenhouses located in Sacheon of Gyeongsangnam-do during the period of 2019-2020. A predictive model, Lasso regression was designed and validated through 5-fold cross-validation. The current study found that performance of the Lasso regression model is good to predict the number of flowers and fruits, when the MAPE value are 0.511 and 0.488, respectively during the model validation. Overall, the present study demonstrates that using AI based regression model may be convenient for farms and agricultural companies to predict yield of crops with fewer input attributes.

Development of Continuous Monitoring Method of Root-zone Electrical Conductivity using FDR Sensor in Greenhouse Hydroponics Cultivation (시설 수경재배에서 FDR 센서를 활용한 근권 내 농도의 연속적 모니터링 방법)

  • Lee, Jae Seong;Shin, Jong Hwa
    • Journal of Bio-Environment Control
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    • v.31 no.4
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    • pp.409-415
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    • 2022
  • Plant growth and development are also affected by root-zone environment. Therefore, it is important to consider the variables of the root-zone environment when establishing an irrigation strategy. The purpose of this study is to analyze the relationship between the volumetric moisture content (VWC), Bulk EC (ECb), and Pore EC (ECp) used by plant roots using FDR sensors in two types of rockwool media with different water transmission characteristics, using the method above this was used to establish a method for collecting and correcting available root-zone environmental data. For the experiment, two types of rockwool medium (RW1, RW2) with different physical characteristics were used. The moisture content (MC) and ECb were measured using an FDR sensor, ECp was measured after extracting the residual nutrient solution from the medium using a disposable syringe in the center of the medium at a volumetric moisture content (VWC) of 10-100%. Then, ECb and ECp are measured by supplying nutrient solution having different concentration (distilled water, 0.5-5.0) to two types of media (RW1, RW2) in each volume water content range (0 to 100%). The relationship between ECb and ECp in RW1 and RW2 media is best suited for cubic polynomial. The relationship between ECb and ECp according to volume moisture content (VWC) range showed a large error rate in the low volume moisture content (VWC) range of 10-60%. The correlation between the sensor measured value (ECb) and the ECp used by plant roots according to the volumetric water content (VWC) range was the most suitable for the Paraboloid equation in both media (RW1, RW2). The coefficient of determination the calibration equation for RW1 and RW2 media were 0.936, 0.947, respectively.

Characteristics of Naturalized Plants in the Wetland Protection Areas of Inland Wetlands (내륙습지 습지보호지역의 귀화식물 특성)

  • Cho, Kwang-Jin;Lim, Jeoncheol;Lee, Changsu;Yoon, Jungdo;Kim, Mijeong;Chu, Yeounsu
    • Ecology and Resilient Infrastructure
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    • v.7 no.4
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    • pp.374-387
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    • 2020
  • This study was conducted to provide basic data for monitoring the trend of ecosystem change and establishing management plans for wetland protection areas by understanding the status of naturalized plants. In 21 wetland protection areas, 129 taxa, including 10 invasive alien species, were recorded. The naturalized plants appeared mostly as 71 taxa in the Chimsil wetland and were not observed in the Moojechineup and Sumeunmulbaengdui wetlands. Among the naturalized plants, 42 taxa (32.6%) originated from North America. Annual and biennial plants accounted for 68.2% (88 taxa). The frequencies of occurrence of naturalized plants growing in dry secondary grasses such as Erigeron annuus and Trifolium repens were high, and clonal plants that propagated by making stolons and struck roots accounted for 19.4% (25 taxa). The naturalized and urbanization indices showed positive correlations with location factors such as wetland, agricultural land, and used area. However, a negative correlation was found between altitude and forest. Therefore, a management plan that synthetically considers the occurrence frequency and growth characteristics of naturalized plants as well as the locational characteristics of wetland protection areas is required.

Change of Vegetation Structure in the Harvested forest Area(II)-A Case of (Mt.)Baegwoonsan Research forest at Kwangyang City- (산림 벌채적지의 식생구조 변화(II)-황양시 백운산연습림지역을 중심으로-)

  • 오구균;최송현;박상규;심항용
    • Korean Journal of Environment and Ecology
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    • v.17 no.4
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    • pp.337-345
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    • 2004
  • The objective of this study was to monitor vegetation recovery process after timber harvesting at (Mt.) Baekwoonsan Seoul National University Forests, Korea. Two monitoring plots were established in 1994 and woody plant were monitored in 1997, 1999, 2001, and 2003. Vegetation development pattern during last ten years (1994-2003) after timber harvesting were as follows; Styrax obassia, Styrax japonica and Lindera erythrocarpa as of the existing tree were competitive species in the first year after clear-cut, Styrax japonica and Lindera erythrocarpa as of sprout tree and Aralia elata as of seedling were dominant species in the sixth year after clear-cut, and Lindera erythrocarpa, Styrax japonica and Quercus serrata were dominant species from the eighth year to the tenth year after clear-cut. Species diversity index of harvested forest interior was decreased at the southwestern slope while it was increased in the northeastern slope till 6th year and decreased after the 8th year). According to DBH distribution pattern, No. of individuals of Quercus serrata, Styrax japonica and Lindera erythrocarpa showed high frequency in the southwestern slope, and Acer pseudosieboldianum, Styrax obassia, Magnolia sieboldii, Lindera erythrocarpa, and Aralia elata showed good growth in the northeastern slope. There was a difference between slopes in Basal area. It was decreased at the southwestern slopes during the 10th year continuously and it was increased the sixth year however, was decreased after the eighth year at the northeastern slope.

Dynamics and Distribution of Quercus gilva Blume Population in Korea (국내 개가시나무 개체군의 분포 및 동태)

  • Hyun, Hwa-Ja;Song, Kuk-Man;Choi, Hyung-Soon;Kim, Chan-Soo
    • Korean Journal of Environment and Ecology
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    • v.28 no.4
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    • pp.385-392
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    • 2014
  • Quercus gilva Blume is an evergreen-leaved tree that belongs to Facaceae and grows in tropical and warm-temperate regions, such as Japan, Taiwan, China and Korea. This study was carried out to analyze the distribution and growth characteristics of Q. gilva in the native range. In Korea, this species was distributed in Jeju Island between 80 and 350 meter above sea level, and mainly in the south-western regions of the island from 100 to 200 meter above sea level. The average height of Q. gilva was $9.8{\pm}1.9$ meter, with most trees 9 and 12 meter tall. The average diameter at breast height was $22.6{\pm}6.8$ centimeter, with the majority between 20 and 30 centimeter. Several coppice shoots ($3.8{\pm}2.1$ pieces) were formed from stumps and inferred by frequent cuttings for use. Almost Q. gilva individuals(96.2%) were covered with kinds of vines(18 species), and evergreen Trachelospermim asiaticum (Siebold et Zucc.) Nakai was major species. The analysis of damage of vines revealed that the most dead branches were found with 9 to 12 meter height of Q. gilva, and the more vines attached, the larger damage to Q. gilva individuals. A continuous monitoring and investigation would be required to preserve this species in their habitats.

An Overview on China's Recent Air Pollution Regulation and Management Policy (중국의 최근 대기오염 규제 및 관리 정책에 대한 고찰)

  • Choi, Min Uk
    • Environmental and Resource Economics Review
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    • v.27 no.3
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    • pp.569-611
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    • 2018
  • Rapid economic growth, urbanization, and industrialization of China have tremendously degraded the overall quality of living environments, especially the air quality, not only negatively affecting Chinese people but also impacting citizens of neighboring countries, namely Korea. The Chinese government has invested much effort to regulate the air pollution due to burning coal through introducing strict environmental monitoring policies and aggressive implementation. This paper presents an overview of Chinese air pollution prevention policy due to burning coal, and the associated trends and specifics of institutional arrangements regarding air pollutant emission regulations. It turns out that the policies have become stricter than before; some polices are geared towards enforcing extra regulation at the regional level. It is expected that the regulation will become stricter in the future. However, the actual contribution and feasibility of such policies must be analyzed based on sound science. The policies seem to care little about influencing the air quality of Korea, and this has to be improved. In order to do so, it is important to strengthen environmental cooperation between Korea and China, and better yet to research on not only the air quality but also the associated fields, such as energy, industrial technology, and global environmental governance.

Analysis of statistical models on temperature at the Suwon city in Korea (수원시 기온의 통계적 모형 연구)

  • Lee, Hoonja
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.6
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    • pp.1409-1416
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    • 2015
  • The change of temperature influences on the various aspect, especially human health, plant and animal's growth, economics, industry, and culture of the country. In this article, the autoregressive error (ARE) model has been considered for analyzing the monthly temperature data at the Suwon monitoring site in Korea. In the ARE model, five meteorological variables, four greenhouse gas variables and five pollution variables are used as the explanatory variables for the temperature data set. The five meteorological variables are wind speed, rainfall, radiation, amount of cloud, and relative humidity. The four greenhouse gas variables are carbon dioxide ($CO_2$), methane ($CH_4$), nitrous oxide ($N_2O$), and chlorofluorocarbon ($CFC_{11}$). And the five air pollution explanatory variables are particulate matter ($PM_{10}$), sulfur dioxide ($SO_2$), nitrogen dioxide ($NO_2$), ozone ($O_3$), and carbon monoxide (CO). Among five meteorological variables, radiation, amount of cloud, and wind speed are more influence on the temperature. The radiation influences during spring, summer and fall, whereas wind speed influences for the winter time. Also, among four greenhouse gas variables and five pollution variables, chlorofluorocarbon, methane, and ozone are more influence on the temperature. The monthly ARE model explained about 43-69% for describing the temperature.