• Title/Summary/Keyword: 우수농업

Search Result 809, Processing Time 0.028 seconds

Assessing Carotenoid Levels and Antioxidant Properties in Korean Sweet Corn Inbred Lines to Develop High-Quality Sweet Corn Varieties through Breeding (기능성 단옥수수 품종 육성을 위한 자식계통의 카로티노이드 함량 및 항산화 활성 평가)

  • Jun Young Ha;Seong-Hyu Shin;Young Sam Go;Hwan Hee Bae;Sang Gon Kim
    • KOREAN JOURNAL OF CROP SCIENCE
    • /
    • v.68 no.2
    • /
    • pp.59-68
    • /
    • 2023
  • Sweet corn is widely consumed due to its high nutritional content and diverse phytochemical composition, including carotenoids and phenolic compounds, which have several benefits for human health. This study aims to identify breeding materials for developing high-functional sweet corn varieties by evaluating the phytochemical and antioxidant activities of 37 Korean sweet corn inbred lines. The results revealed genetic variation in various components, such as carotenoid content (range of 120.7~1239.3 mg 100 g-1), polyphenol content (490.5~740.6 mg gallic acid equivalent 100 g-1), and flavonoid content (7.3~68.6 mg catechin equivalent 100 g-1). In addition, the free radical scavenging capacity, measured using 1,1-diphenyl-2-picrylhydrazyl and 2,2'-azinobis (3-ethylbenzothiazoline-6-sulfonic acid), also varied among the inbred lines. Therefore, in this study, we identified Korean sweet corn inbred lines with high phytochemical content and excellent antioxidant activity. The development of sweet corn varieties with improved functionality is expected to further expand the role of sweet corn as a source of antioxidants in the Korean diet.

Tree Growth, Productivity, and Management Efficiency of High-Density Apple Orchards according to Training Systems in Korea (한국 밀식사과원의 정지전정에 따른 수체생장과 생산성 및 경영효율 비교)

  • Jung, H.W.;Kim, K.H.;Song, T.Y.;Hong, S.I.;Han, H.K.;Kim, K.K.;Shin, J.H.;Yeo, D.H.;Kim, B.C.;Park, J.K.
    • Journal of Practical Agriculture & Fisheries Research
    • /
    • v.19 no.1
    • /
    • pp.39-49
    • /
    • 2017
  • The present study conducted a comparison on tree growth and productivity of high-density apple orchards by several orchard management systems: making scaffolds by heading-back and thinning out pruning (T-1), maintaining scaffolds upward and bearing shoots downward (T-2), managing branches slightly upward without heading-back (T-3), keeping leaders downward and shoots pending (T-4), maintaining leaders high and branches horizontal with severe pinching (T-5), making leaders with lower branches vigorous and upper shoots pending (T-6), and controlling very high planting density with bending branches (T-7). In conclusion, the orchards of (T-5) and (T-6) management systems showed a superior performance in controlling tree growth, productivity, and quality of fruits. Also, superior management efficiency was obtained in the orchards of (T-5) and (T-6).

A Study on the Prediction Model for Bioactive Components of Cnidium officinale Makino according to Climate Change using Machine Learning (머신러닝을 이용한 기후변화에 따른 천궁 생리 활성 성분 예측 모델 연구)

  • Hyunjo Lee;Hyun Jung Koo;Kyeong Cheol Lee;Won-Kyun Joo;Cheol-Joo Chae
    • Smart Media Journal
    • /
    • v.12 no.10
    • /
    • pp.93-101
    • /
    • 2023
  • Climate change has emerged as a global problem, with frequent temperature increases, droughts, and floods, and it is predicted that it will have a great impact on the characteristics and productivity of crops. Cnidium officinale is used not only as traditionally used herbal medicines, but also as various industrial raw materials such as health functional foods, natural medicines, and living materials, but productivity is decreasing due to threats such as continuous crop damage and climate change. Therefore, this paper proposes a model that can predict the physiologically active ingredient index according to the climate change scenario of Cnidium officinale, a representative medicinal crop vulnerable to climate change. In this paper, data was first augmented using the CTGAN algorithm to solve the problem of data imbalance in the collection of environment information, physiological reactions, and physiological active ingredient information. Column Shape and Column Pair Trends were used to measure augmented data quality, and overall quality of 88% was achieved on average. In addition, five models RF, SVR, XGBoost, AdaBoost, and LightBGM were used to predict phenol and flavonoid content by dividing them into ground and underground using augmented data. As a result of model evaluation, the XGBoost model showed the best performance in predicting the physiological active ingredients of the sacrum, and it was confirmed to be about twice as accurate as the SVR model.

Insecticidal Effect of Moutan cortex radicis Extract for Control the Western Flower Thrips, Frankliniella occidentalis, on Greenhouse Pepper (시설 고추에 발생하는 꽃노랑총채벌레 방제를 위한 목단피 추출물의 살충효과)

  • Mi Hye Seo;Kyung Hye Seo;Kyung San Choi;Sun-Young Lee;Jung Beom Yoon;Jung-Joon Park
    • Korean journal of applied entomology
    • /
    • v.62 no.4
    • /
    • pp.355-363
    • /
    • 2023
  • In addition to causing direct feeding damage to a variety of greenhouse crops, Frankliniella occidentalis also inflicts indirect harm by facilitating the transmission of the tomato spotted wilt virus. Historically, the prevention of F. occidentalis infestations has relied heavily on pesticide use. However, this approach has led to significant side effects in agricultural ecosystems, including the development of pest resistance and challenges in effective prevention. In response to these issues, research has been directed towards identifying alternative substances that circumvent the tolerance developed against chemical pesticides. Extracts from sixty-seven medicinal plants were prepared by soaking them in water for 24 hours at room temperature. These extracts were then applied to adult F. occidentalis, with particular attention to moutan extract treatment. This treatment demonstrated a 100% insecticidal effect on the first day. The moutan extract, specifically, was prepared using 50% ethanol, after which the ethanol and water were removed via a rotary evaporator. The resultant product was then lyophilized into a powder and used after being diluted with water. In indoor experiments, a 40% diluted solution was sprayed onto F. occidentalis, exhibiting a 100% insecticidal effect 24 hours post-treatment. Furthermore, a pot test indicated a 78% insecticidal effect on the first day of application. Ongoing research includes the analysis of active substances that demonstrate exceptional insecticidal properties and the conduct of on-site validation tests. The application of the aforementioned extract is anticipated to be effective in the prevention of F. occidentalis infestations.

Mapping Mammalian Species Richness Using a Machine Learning Algorithm (머신러닝 알고리즘을 이용한 포유류 종 풍부도 매핑 구축 연구)

  • Zhiying Jin;Dongkun Lee;Eunsub Kim;Jiyoung Choi;Yoonho Jeon
    • Journal of Environmental Impact Assessment
    • /
    • v.33 no.2
    • /
    • pp.53-63
    • /
    • 2024
  • Biodiversity holds significant importance within the framework of environmental impact assessment, being utilized in site selection for development, understanding the surrounding environment, and assessing the impact on species due to disturbances. The field of environmental impact assessment has seen substantial research exploring new technologies and models to evaluate and predict biodiversity more accurately. While current assessments rely on data from fieldwork and literature surveys to gauge species richness indices, limitations in spatial and temporal coverage underscore the need for high-resolution biodiversity assessments through species richness mapping. In this study, leveraging data from the 4th National Ecosystem Survey and environmental variables, we developed a species distribution model using Random Forest. This model yielded mapping results of 24 mammalian species' distribution, utilizing the species richness index to generate a 100-meter resolution map of species richness. The research findings exhibited a notably high predictive accuracy, with the species distribution model demonstrating an average AUC value of 0.82. In addition, the comparison with National Ecosystem Survey data reveals that the species richness distribution in the high-resolution species richness mapping results conforms to a normal distribution. Hence, it stands as highly reliable foundational data for environmental impact assessment. Such research and analytical outcomes could serve as pivotal new reference materials for future urban development projects, offering insights for biodiversity assessment and habitat preservation endeavors.

Comparative analysis of wavelet transform and machine learning approaches for noise reduction in water level data (웨이블릿 변환과 기계 학습 접근법을 이용한 수위 데이터의 노이즈 제거 비교 분석)

  • Hwang, Yukwan;Lim, Kyoung Jae;Kim, Jonggun;Shin, Minhwan;Park, Youn Shik;Shin, Yongchul;Ji, Bongjun
    • Journal of Korea Water Resources Association
    • /
    • v.57 no.3
    • /
    • pp.209-223
    • /
    • 2024
  • In the context of the fourth industrial revolution, data-driven decision-making has increasingly become pivotal. However, the integrity of data analysis is compromised if data quality is not adequately ensured, potentially leading to biased interpretations. This is particularly critical for water level data, essential for water resource management, which often encounters quality issues such as missing values, spikes, and noise. This study addresses the challenge of noise-induced data quality deterioration, which complicates trend analysis and may produce anomalous outliers. To mitigate this issue, we propose a noise removal strategy employing Wavelet Transform, a technique renowned for its efficacy in signal processing and noise elimination. The advantage of Wavelet Transform lies in its operational efficiency - it reduces both time and costs as it obviates the need for acquiring the true values of collected data. This study conducted a comparative performance evaluation between our Wavelet Transform-based approach and the Denoising Autoencoder, a prominent machine learning method for noise reduction.. The findings demonstrate that the Coiflets wavelet function outperforms the Denoising Autoencoder across various metrics, including Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Mean Squared Error (MSE). The superiority of the Coiflets function suggests that selecting an appropriate wavelet function tailored to the specific application environment can effectively address data quality issues caused by noise. This study underscores the potential of Wavelet Transform as a robust tool for enhancing the quality of water level data, thereby contributing to the reliability of water resource management decisions.

Exploring the role and characterization of Burkholderia cepacia CD2: a promising eco-friendly microbial fertilizer isolated from long-term chemical fertilizer-free soil

  • HyunWoo Son;Justina Klingaite;Sihyun Park;Jae-Ho Shin
    • Journal of Applied Biological Chemistry
    • /
    • v.66
    • /
    • pp.394-403
    • /
    • 2023
  • In the pursuit of sustainable and environmentally-friendly agricultural practices, we conducted an extensive study on the rhizosphere bacteria inhabiting soils that have been devoid of chemical fertilizers for an extended period exceeding 40 years. Through this investigation, we isolated a total of 80 species of plant growth-promoting rhizosphere bacteria and assessed their potential to enhance plant growth. Among these isolates, Burkholderia cepacia CD2 displayed remarkable plant growth-promoting activity, making it an optimal candidate for further analysis. Burkholderia cepacia CD2 exhibited a range of beneficial characteristics conducive to plant growth, including phosphate solubilization, siderophore production, denitrification, nitrate utilization, and urease activity. These attributes are well-known to positively influence the growth and development of plants. To validate the taxonomic classification of the strain, 16S rRNA gene sequencing confirmed its placement within the Burkholderia genus, providing further insights into its phylogenetic relationship. To delve deeper into the potential mechanisms underlying its plant growth-promoting properties, we sought to confirm the presence of specific genes associated with plant growth promotion in CD2. To achieve this, whole genome sequencing (WGS) was performed by Plasmidsaurus Inc. (USA) utilizing Oxford Nanopore technology (Abingdon, UK). The WGS analysis of the genome of CD2 revealed the existence of a subsystem function, which is thought to be a pivotal factor contributing to improved plant growth. Based on these findings, it can be concluded that Burkholderia cepacia CD2 has the potential to serve as a microbial fertilizer, offering a sustainable alternative to chemical fertilizers.

Lodging-Tolerant, High Yield, Mechanized-Harvest Adaptable and Small Seed Soybean Cultivar 'Aram' for Soy-sprout (내도복 다수성 기계수확 적응 소립 나물용 콩 '아람')

  • Kang, Beom Kyu;Kim, Hyun Tae;Ko, Jong Min;Yun, Hong Tai;Lee, Young Hoon;Seo, Jeong Hyun;Jung, Chan Sik;Shin, Sang Ouk;Oh, Eun Yeong;Kim, Hong Sik;Oh, In Seok;Baek, In Youl;Oh, Jae Hyun;Seo, Min Jeong;Yang, Woo Sam;Kim, Dong Kwan;Gwak, Do Yeon
    • Korean Journal of Breeding Science
    • /
    • v.51 no.3
    • /
    • pp.214-221
    • /
    • 2019
  • 'Aram' is a soybean cultivar developed for soy-sprout. It was developed from the crossing of 'Bosug' (Glycine max IT213209) and 'Camp' (G. max IT267356) cultivars in 2007. F1 plants and F2 population were developed in 2009 and 2010. A promising line was selected in the F5 generation in 2011 using the pedigree method and it was evaluated for agronomic traits, yield, and soy-sprouts characteristics in a preliminary yield trial (PYT) in 2012 and an advanced yield trial (AYT) in 2013. Agronomic traits and yield were stable between 2014 and 2016 in the regional yield trial (RYT) in four regions (Suwon, Naju, Dalseong, and Jeju). Morphological characteristics of 'Aram' are as follows: determinate plant type, purple flowers, grey pubescence, yellow pods, and small, yellow, and spherical seeds (9.9 g 100-seeds-1) with a light brown hilum. The flowering date was the 5th of August and the maturity date was the 15th of October. Plant height, first pod height, number of nods, number of branches, and number of pods were 65 cm, 13 cm, 16, 4.5, and 99, respectively. In the sprout test, germination rate and sprout characteristics of 'Aram' were comparable to that of the 'Pungsannamulkong' cultivar. The yield of 'Aram' was 3.59 ton ha-1 and it was 12% higher than that of 'Pungsannamulkong' in southern area of Korea. The yield of 'Aram' in the Jeju region, which is the main region for soybean sprout production, was 20% higher than that of 'Pungsannamulkong'. The height of the first pod and the tolerance to lodging and pod shattering, which are connected to the adaptation to mechanized harvesting, were higher in 'Aram' compared to those in 'Pungsannamulkong'. Therefore, the 'Aram' cultivar is expected to be broadly cultivated because of its higher soybean sprout quality, and seed yield and better adaptation to mechanized harvesting. (Registration number: 7718)

Changes of Chemical Components during Fermentation of Pear(Pyrus pyrifolia Nakai) Wine (신고배(Pyrus pyrifolia Nakai)를 이용한 배술 제조 과정 중 성분 변화)

  • Park, Hae-Min;Lee, Ka-Soon;Hong, Jong-Sook;Oh, Man-Jin
    • Korean Journal of Agricultural Science
    • /
    • v.36 no.2
    • /
    • pp.199-209
    • /
    • 2009
  • For increasing the consumption of pear, the pear wines were made by using eight different kinds of yeast. The chemical properties, such as pH, acidity, ethanol and sugar contents, and the consumer acceptance of various pear wines were analyzed. In analysis result of chemical properties, the value of pH was decreased and the acidity was increased until few days, and then retained during fermentation. The ethanol content was increased and the sugar content was decreased during fermentation. The pear wine brewed by B yeast (Lalnin, Saccharomyces cerevisiae) among eight different kinds of yeast had the highest content of ethanol, also this wine was represented the most consumer acceptance by the panels who consist of two age groups such as 20's to 30's and 50's to 60's. Therefore, we chose the yeast B for analyzing the effect of additives during fermentation. As the additives, the $K_2S_2O_5$ and ammonium phosphate as the disinfectant and hemicellulase and pectinase as fermenting conditioner were added into the pear wine brewed by yeast B. When additives are added, the chemical properties were the same as followed. Te values of pH was lower than when additives were not added(control). The acidity was he highest when ammonium phosphate was added, but the acidity was not changed after 4 day fermentation. Sugar contents when added $K_2S_2O_5$ 350ppm was shown the fastest deceasing, and it was orderly decreased as control, ammonium phosphate, hemicellulase, pectinase, and $K_2S_2O_5$ 175ppm. The decreasing rate of sugar content of these 6 test groups during fermentation gradually decreased without a big changes and the after 7 day fermentation, sugar contents were seldom decreased and the final sugar content was $9.5{\sim}9.8^{\circ}Brix$. In terms of change of the content of ethanol, all test groups generated 11~12.4% ethanol after 7 day fermentation. The group where ammonium phosphate was added generated 12.4% alcohol, which is the fastest speed and the group, which hemicellulase additive was added, showed generally slow alcohol generation rate. In terms of ethanol contents, the non-additive group and $K_2S_2O_5$ additive group showed 0.05%, which is very low, and hemicellulase and pectinase additive group is more than 0.5% which is rather high.

  • PDF

Studies on the Manufacturing of Alcohol Fermented Milk Beverage (Alcohol 발효유음료(醱酵乳飮料)의 제조(製造)에 관한 연구(硏究))

  • Kim, Jong Woo
    • Korean Journal of Agricultural Science
    • /
    • v.8 no.2
    • /
    • pp.171-178
    • /
    • 1981
  • In order to develope the suitable processing method of new alcohol fermented milk beverage, the lactic acid bacteria and the yeast were inoculated to various level of saccharide added milk. And the change of component and alcohol concentration in beverage were analysed and tested. The results obtained were summarized as follows: 1. By skim milk media was fermented by the 5 strains of lactic acid bacteria for 24 hours, most suitable acidity was appeared in the Str. lactis fermented beverage as 0.83% and the amino nitrogen contents was not much changed as 0.2mg/ml. 2. By the skim milk was added with 5% glucose, lactose and sucrose respectively and fermented by the Str. lactis and Cruyveromyces fragilis, the acidity and amino nitrogen contents in beverage were not changed significantly, but alcohol concentration was increased from 2.5% to 3.58%. 3. By the 5% to 15% sucrose added skim milk media was fermented by Cruyveromyces fragilis and Saccharomyces cerevisiae, the amino nitrogen concentration was not so much changed by increasing sucrose contents. And the alcohol concentration was increased from 2.12% to 8.15% by Cruyveromyces fragilis fermentation and from 0% to 7.45% by S.accharomyces cerevisiae fermentation. 4. Sensory evaluation was better in the Cruyveromyces fragilis fermented beverage than Saccharomyces cerevisiae fermented beverage. 5. The contents of moisture, crude protein, ash and the concentrate of alcohol of Str. lactis and Cruyveromyces fragilis fermented skim milk beverage were much similar to koumis.

  • PDF