This study examined the impact of Artemisia argyi extract (AE) on bone health using a mouse model of ovariectomy (OVX)-induced osteoporosis. A total of seven sham-operated mice and twenty-one OVX mice were assigned to three groups: control (OVX), estradiol-treated (E2, 10 μg/kg), and AE-treated (100 mg/kg). The treatment lasted for 12 weeks, during which body weight, food intake, hindlimb thickness, grip strength, and various bone parameters were recorded. Dual-energy X-ray absorptiometry (DXA) was employed to evaluate body composition, bone mineral content (BMC), and bone mineral density (BMD). The administration of AE significantly increased BMC and BMD compared to the OVX group, with no notable changes in body composition. Although AE did not enhance hindlimb thickness, it did significantly improve grip strength. These findings indicate that AE selectively promotes bone metabolism and may serve as a potential functional food component for preventing osteoporosis in postmenopausal women.

Grapevine l eaf rust (GLR) c aused b y Phakopsora euvitis diminishes fruit quality and reduces yield in viticulture, making it one of the world’s most significant fruit crop threats. To develop GLR-resistant grape varieties, substantial efforts have been made to select rust-resistant genes and determine effective strategies f or achieving durab le resistance in grapevines. This study aims to identify genetic resources resistant to GLR by investigating disease incidence in vineyards and symptom development in grapevines inoculated with pathogens. Fifty-seven genotypes from Ampelopsis brevipedunculata, Vitis acerifolia, V. aestivalis, V. amurensis, V. cinerea, V. coignetiae, V. flexuosa, V. labrusca, V. labruscana, V. rotundifolia, and V. vinifera were evaluated for rust disease incidence over four years (2021 –2024) at Yeunganm University. Three plants per genotype were potted and sprayed with a pathogen suspension to assess disease incidence on their adaxial leaf surfaces in a greenhouse. Variation in resistance to GLR was observed among genotypes within each species. Resistant genotypes of V. coignetiae exhibited no symptoms on their leaves, while severe infections were noted in the leaves of susceptible genotypes of A. brevipedunculata, V. amurensis, V. flexuosa, V. labruscana, and V. vinifera. None of the tested V. rotundifolia genotypes displayed yellow pustules and remained unaffected for three weeks after artificial inoculation. These findings highlight the potential of V. rotundifolia and V. coignetiae as valuable genetic resources for breeding rust-resistant grapevines. Chlorophyll content was comparable across all uninfected genotypes. While resistant genotypes maintained relatively stable chlorophyll levels, the average chlorophyll content in the majority of susceptible genotypes was significantly lower following inoculation than before. This negative relationship indicates a general decline in photosynthetic capacity due to disease development in grapevines. Identifying resistant genotypes among both resistant and susceptible genotypes across different Vitis species provides crucial insights for developing new grape varieties with improved resistance to GLR.

This study examined the anti-inflammatory potential and metabolite profiles of Perilla frutescens var. frutescens leaf germplasm. The anti-inflammatory activity was assessed in vitro by measuring nitric oxide (NO) production and interleukin-8 (IL-8) secretion. Among the germplasm tested, PL7 and PL6 exhibited the strongest inhibitory effects on both NO and IL-8. Metabolite profiling, conducted using liquid chromatography-mass spectrometry (LC-MS), identified 60 compounds, primarily flavonoids and phenolic acids. Principal component analysis (PCA) grouped the samples into four distinct clusters: PL1–PL5, PL6, PL7, and PL8–PL10. Variable importance in projection (VIP) analysis highlighted 15 key metabolites (VIP>1.0), including tuberonic acid glucoside, caffeic acid, luteolin, and salicylic acid, which contributed to the separation of these groups. Heatmap visualization revealed distinct patterns of metabolite accumulation: vitexin and rosmarinic acid were abundant in PL1–PL5; vanillic acid-4-glucoside and prulaurasin were prominent in PL6; 5'-O-β-D-glucosylpyridoxine and esculin were concentrated in PL7; and luteolin and D-pantothenic acid were enriched in PL8–PL10. Further analysis identified key anti-inflammatory metabolites, such as apigenin-6,8-diglucoside, salicylic acid, and pinocembrin in PL6, along with quercetin-3-O-glucuronide, rosmarinic acid-3'-glucoside, and quercetin-3-O-glucoside in PL7. These findings highlight the functional diversity among perilla germplasm and their potential as valuable sources of anti-inflammatory food ingredients.

본 연구는 담액수경재배(DFT, Deep Flow Technique) 조건에서 질산태 질소(NO3-N) 결핍이 Perilla frutescens Britt.(잎들깨)의 생육 및 생리적 반응에 미치는 영향을 조사하였다. 야마자키 표준 양액을 기반으로 NO3-N 농도를 0%(대조구), 30%, 50%, 70%, 100%의 5수준으로 단계적으로 감소시킨 처리구를 설정하였다. 처리 시작 후 20일부터 80일까지의 기간 동안, 초장, 엽수, 마디수, 줄기직경 등 주요 생육 지표는 질산태 질소 결핍 (Nitrate Deficiency, ND) 수준이 증가함에 따라 유의하게 감소하였다. 특히, 80일 후 ND 100%(0 mM) 처리구에서 는 생육이 크게 저해되어 초장, 엽수, 마디수, 줄기직경이 각각 49.2%, 59.4%, 41.7%, 42.2% 감소하였다. 생체중과 건물중은 각각 93.4g에서 15.5g, 11.8g에서 3.0g으로 급격히 감소하였다. 식물체 내 총 질소 함량도 ND 수준이 높 아짐에 따라 비례적으로 감소하였으며, ND 0% 대비 ND 100% 처리구에서는 약 50% 이상의 질소 함량 감소가 관 찰되었다. 하엽에서는 황화, 갈변, 괴사 등의 생리적 장애 증상이 뚜렷하게 나타났으며, 이는 엽록소 분해와 관련된 것으로 판단된다. 본 결과는 수경재배 조건에서 잎들깨의 안정적인 생육과 생리적 기능 유지를 위해 충분한 질산 공 급이 필수적임을 보여주며, 상업적 생산을 위한 질산 관리 전략 수립에 기초 자료로 활용될 수 있다.

본 연구는 담액수경재배(Deep Flow Technique, DFT)로 재배된 잎들깨(Perilla frutescens)의 생장 및 생리 적 반응에 미치는 인산결핍의 영향을 분석하였다. 인산 결핍 처리는 야마자키 표준 배양액을 수정하여 0% (대조 구), 30%, 50%, 70%, 100%의 5 수준으로 달리 조성하였다. 처리 20일부터 80일까지 인산 결핍 수준이 증가함에 따라 초장, 엽수, 마디 수, 경직경이 유의미하게 감소하였다. 80일째에는 100% 인산 결핍 처리에서 초장이 10.1cm, 엽수는 식물체당 2.7장으로 급감하였으며, 이는 대조구의 73.5cm 및 12.8장에 비해 현저한 생장 저해를 나타냈다. 또한, 인산 결핍 조건에서 생체중과 건물중 모두 현저히 감소하였으며, 대조구의 생체중은 93.4g 이었으나 100% 인산결핍 처리구에서는 2.1g으로, 건물중은 11.8g에서 0.4g으로 크게 감소하였다. 인산 결핍 정도가 증가할수록 하 부엽에서 황화(Chlorosis) 및 괴사(Necrosis)와 같은 생리장해 증상이 뚜렷하게 나타났다. 이러한 결과는 인산이 잎 들깨의 영양생장과 건물생산량 증가에 필수적인 역할을 수행함을 나타내었다.

리시안셔스 (Eustoma grandiflorum)는 세계적으로 널리 재배되는 경제적으로 중요한 원예작물이지만 다양한 병원균에 의한 피해를 입고 있다. 2023년 12월 김해시에서 재배되고 있는 리시안셔스 잎이 어둡게 변색되고 시드는 병징이 발견되었다. 국내 리시안셔스 재배지에서 현재까지 이러한 질병은 보고된 바 없는 것으로 알려졌다. 본 연구에서는 리시안셔스의 병든 잎에서 병원균을 분리하였고, 형태학적, 분자생물학적 동정을 실시하였다. 병원균의 비교적 느리게 성장하며, 형태학적 특성은 균사가 밀집된 형태의 균총과 얇고 긴 형태의 분생포자(39.6 × 2.82 μm)를 형성하였다. 병원균의 분자생물학적 동정을 위해 ITS, LSU 영역 염기서열 분석을 실시하였고, GenBank 데이터와 비교한 결과 병원균은 Pseudocercospora eustomatis로 동정되었다. 추가적으로 리시안셔스에 대한 P. eustomatis의 병원성 검정을 실시한 결과, 포장에서와 동일한 병징이 관찰되었다. 본 논문은 국내에서 P. eustomatis에 의해 발생한 리시안셔스 점무늬병에 대한 최초 보고이다.

Crop diseases seriously affect food security, and traditional identification methods are inefficient and inaccurate. This paper proposes a GoogLeNet model with an attention mechanism. By integrating an attention module inside the Inception module, the recognition ability of subtle disease features and complex backgrounds is improved. Based on strict data preprocessing and enhancement, the proposed method achieves 87.75% accuracy on the AI Challenger 2018 crop disease dataset, which is better than the existing advanced methods, which verifies the effectiveness and practicability of the method and provides technical support for smart agriculture.

Near infrared reflectance spectroscopy (NIRS) is widely used to assess the nutrient composition of forages. In forage, the leaf to stem ratio of alfalfa greatly affects its forage quality, with a high ratio of leaf indicated as high quality. This study aimed to evaluate the predictability of the alfalfa leaf-to-stem ratio and feed value using NIRS. Alfalfa hay was manually separated into leaves and stems by hand and the analysis samples were then made in the controlled range between 0 and 100%. Calibration models (n=320) were developed using modified partial least squares regression (MPLS) based on cross-validation. The optimal calibrations were selected based on the highest coefficients of determination in cross-validation (R2) and the lowest standard error of cross-validation (SECV). The prediction accuracy for the leaf-to-stem ratio (SECV, 5.95 vs. 5.71%; R2, 0.91 vs. 0.91) in alfalfa hay was comparable. For leaves, the standard error of calibration (SEC) was 4.94% (R2=0.94), and for stems, it was 4.81% (R2=0.94). The leaves and stems of the SEC were 4.94% (R2=0.94) and 4.81% (R2=0.94), respectively. The prediction accuracy for feed value, based on the leaf-to-stem ratio, predicted SECV values of 0.92% (R2=0.88) for crude protein (CP) content, 1.92% (R2=0.91) for neutral detergent fiber (NDF) content, 1.36% (R2=0.91) for total digestibility nutrient (TDN) content, and 9.86 (R2=0.81) for relative feed value (RFV). The results of this study demonstrate the potential of the NIRS method as a reliable tool for predicting the leaf-to-stem ratio of alfalfa hay, and show available techniques for routine feed value evaluation.

Moringa oleifera, a versatile plant, has been traditionally used to treat various ailments and is gaining scientific attention due to its potential as a medicine. Native to the Indian subcontinent, it is widely grown in tropical and subtropical regions, thriving in Asia, Africa, and South America, especially in arid climates. This study explores the antioxidant potential of Moringa oleifera leaf extract (MOLE), employing a comprehensive screening approach with various solvents to identify the most effective extraction method. Initial experiments assessed antioxidant efficacy and yield using distilled water (D.W.), 95% ethanol, and 95% methanol. Among these, 95% ethanol extract demonstrated superior antioxidant activity, confirmed through assays such as 2,2-diphenyl-1-14 picrylhydrazyl (DPPH) radical scavenging assay, total polyphenol content analysis, and reducing power assay. In addition, with the 95% ethanol MOLE, a higher extraction efficiency was yielded compared to other solvents, making it the most effective for large-scale preparation. HPLC analysis revealed the presence of key bioactive compounds, including ellagic acid, rutin, Q-3-O, quercetin, and kaempferol. Results revealed that MOLE, prepared using 95% ethanol, exhibited remarkable antioxidant properties, attributed to its rich polyphenolic content. This research underscores the therapeutic potential of MOLE as a natural antioxidant source and highlights the importance of solvent optimization in phytochemical extractions.

Black bear (Echeveria spp.) and Adromischus maculatus are ornamental succulents that change color in response to light and temperature. Colors of leaves play an important role in their ornamental value and market demand. However, there is a lack of quantitative research on flavonoids contained in succulent leaves. In this study, a colorimeter and ultra-performance liquid chromatography (UPLC) were used to analyze color changes of leaf surfaces and components of bioactive substances to understand the relationship between color change and internal bioactive substances of black bear and A. maculatus. The colorimeter analysis showed that red, green, and blue colors of black bear increased by 42.31%, 49.32%, and 21.58%, respectively, compared to their initial values, resulting in a clear change in leaf color from reddish-black to green. On the other hand, in A. maculatus, the red color decreased by 0.15% and the green color decreased by 10.44%, resulting in a more pronounced red spotted pattern and an increased area. UPLC analysis detected quercitrin in Black Bear leaf extracts and quercetin-3-O-sambubioside in A. maculatus. These substances are considered to play a key role in the concentration of anthocyanins and color changes in response to environmental changes such as light and temperature. Results of this study could be used as basic data to understand the correlation between leaf color change and bioactive substances in succulents in response to light and temperature.