The objective of this study was to assess the effects of gypsum application on dry matter yield (DMY), mineral content of alfalfa (Medicago sativa L.), and soil properties in reclaimed tidal land in South Korea. The experiment was conducted in Seokmun, located on the west coast of South Korea, which is reclaimed with approximately 70 cm depth of degraded island soil. Treatments consisted of a control with no gypsum application (G0), 2 ton ha-1 (G2), and 4 ton ha-1 (G4) of gypsum application. The first harvest was carried out when the alfalfa reached 10% flowering, and subsequent harvests were conducted at 35-day intervals. Over the three-year experimental periods (2019-2021), the total DMY of G2 treatment was significantly higher than those of G0 and G4 (p<0.05). Although both G2 and G4 gypsum application treatments lowered soil pH, the G4 treatment increased the electrical conductivity (EC) content of the soil. Additionally, gypsum application affected the mineral contents of alfalfa, resulting in reduced concentration of sodium (Na) and Magnesium (Mg). Therefore, this present study suggests that a gypsum application rate of 2 ton ha-1 is optimal for improving alfalfa dry matter yield and mineral balance, as well as enhancing soil chemical properties in reclaimed tidal land in South Korea.

Nitrogen fertilizers are generally known to be of great help in improving crop yields, but excessive nitrogen fertilizer usage can not only destroy the environment but also negatively affect crop growth. This study aims to develop a decision-making system for optimal nitrogen fertilizer use for efficient production of Chinese cabbage (Brassica rapa), one of the major vegetables. The proposed system has the functions of detecting farmland based on satellite images, predicting cabbage yields and greenhouse gas (e.g., nitrous oxide) emissions according to nitrogen fertilizer use, and making decisions using the prediction results. To develop the proposed system, a generalized prediction model is developed using experimental data collected from South Korea, Egypt, India, Canada, Lithuania, and China, and the effectiveness of the proposed system is validated through experiments. As a result, the proposed system will enable farmers to conduct eco-friendly agricultural activities through appropriate nitrogen fertilizer use while stably maximizing productivity of Chinese cabbages.

Background: Dairy cows exposed to heat stress have reduced milk production, milk quality, and conception rates, leading to lower profits. This study was conducted to analyze the effect of heat stress according to Temperature-Humidity Index (THI) on the milk production of Korean Holstein cows. Methods: Monthly maximum temperature and average relative humidity data from January 2017 to August 2024 were obtained from 62 observation points used by the Korea Meteorological Administration to calculate the national average. Using this data, the THI, a key indicator for assessing heat stress in Korean Holstein cows, was calculated. Additionally, data from 240,088 Korean Holstein cows, collected through tests conducted by the Dairy Cattle Improvement Center of the NH-Agri Business Group, were analyzed. Results: Comparative analysis of the relationship between THI and milk production revealed that milk yield remained relatively stable until THI reached the “very severe” heat stress threshold (THI ≥ 79). Beyond this level, milk production showed a tendency to decline. Conversely, when THI dropped below this threshold, milk yield tended to recover. Notably, the temperature in September, typically considered part of the autumn season, has been rising in recent years, with THI values now approaching the very severe stress level (THI ≥ 79). Conclusions: These findings suggest that establishing an appropriate farm environment and implementing systematic THI management are essential for mitigating the decline in milk production, as well as the associated economic losses, caused by rising domestic temperatures due to global warming.

Amitriptyline hydrochloride (AMT), a tricyclic antidepressant, is known to exhibit antimicrobial effects against a wide range of bacterial species. This study aims to evaluate the effect of AMT on Brucella (B.) abortus infection in RAW 264.7 cells and ICR mice, which has not yet been clearly characterized. The results showed that all tested concentrations of AMT had no direct bactericidal effect on B. abortus survival at any incubation time point. Interestingly, RAW 264.7 cells pre-treated with a non-toxic high concentration of AMT before B. abortus infection showed a significant reduction in the phagocytosis of B. abortus at 20 min post-infection, compared to untreated cells. However, AMT treatment did not affect the intracellular replication of B. abortus compared to the control cells. Based on the reduced bacterial uptake observed in-vitro, an in-vivo experiment was conducted to assess whether daily oral administration of AMT at a dose of 20 mg/kg could inhibit B. abortus growth in ICR mice. The results showed that AMT treatment slightly increased both organ weights and bacterial loads, suggesting possible systemic effects of prolonged AMT exposure. In summary, these preliminary results provide initial insight into the potential effects of AMT on B. abortus infection both in-vitro and in-vivo. Therefore, further study should focus on dose optimization in-vivo and exploration of the underlying cellular mechanisms involved in AMT-mediated inhibition of phagocytosis during Brucella infection.

In this study, proteins were extracted from sesame and perilla meals (agricultural by-products) by using hot-water defatting and acid precipitation, and their functional properties were compared with those of a commercial soy protein isolate (SPI). According to the SDS-PAGE results, the sesame meal protein extract (SMPE) exhibited a higher content of hydrophobic amino acids than the perilla meal protein extract (PMPE), alongside a relatively lower intensity of the 7S globulin band. SMPE showed 1.41-fold higher solubility than SPI at pH 10 and 1.72- and 1.66-fold higher emulsifying activity indices (EAIs) at pH 8 and 10, respectively. PMPE exhibited similar trends in solubility and EAI as SPI at the corresponding pH values. However, the emulsifying stability indices of SMPE and PMPE were lower than that of SPI. In particular, the fat absorption capacity of SMPE was significantly higher than those of SPI and PMPE, likely because of its higher content of hydrophobic or nonpolar amino acid residues. These results suggest that SMPE and PMPE are promising alternative protein sources for food applications and may promote value-added utilization of plant-derived by-products in the food industry.

본 연구는 기능성 화장품 소재 개발을 목표로 효모 유래 MPC의 세포 생리활성을 조사하였 다. 피부 세포주에 처리된 Cu와 Zn 이온 모두 세포 독성이 확인되었지만, 정제된 MPC는 결합된 금속 이온의 세포 독성을 획기적으로 제거하였다. 게다가 특정 농도의 MPC는 대조군과 비교하여 세포 생존 율을 오히려 약 20% 증가시켰다. MPC 중 효모 펩타이드-Cu(YP-Cu)는 UVB 자극으로 유도되는 세포 내 활성산소의 양을 약 30% 정도 유의하게 감소시켰지만, YP-Zn은 영향을 미치지 못했다. 또한, YP-Cu 처리는 피부 세포에서 콜라겐 유전자의 발현량을 2배 증가시켰고, 프로콜라겐 분비량은 1.7배 증 가시켰으며, UVB 자극에 의한 콜라겐 유전자의 발현 저해에도 효과적으로 대응했다. 결론적으로, 유리 금속 이온 자체는 세포독성 효과로 인해 화장품 소재에 적합하지 않지만, 정제된 MPC, 특히 YP-Cu는 이러한 금속 이온의 독성을 효과적으로 상쇄하고 세포 생존율을 향상시킬 뿐만 아니라, UVB 자극에 따 른 유해 효과를 완화하기 때문에 잠재적 기능성 화장품 소재로 사용될 수 있다.

Coffee is a major traded item worldwide. Uganda, where the coffee sector provides a livelihood to 1.8 million households, is Africa’s second-biggest coffee exporter. Pests and diseases are significant constraints affecting coffee production. Although the Ugandan government has implemented strategies to assist farmers in addressing these constraints, coffee pests and diseases continue to affect the yield and quality of coffee crops. This ongoing issue highlights the need for more effective and sustainable solutions to protect coffee production in Uganda. This review examined two prevalent diseases and two major pests known to significantly impact Uganda’s coffee systems. It explored strategies that pathogens and pests would utilize to invade and colonize coffee plants. Furthermore, this review evaluated current challenges and prospects for improving coffee pest and disease management. By offering valuable insights and recommendations, it aims to equip agricultural stakeholders with the knowledge needed to develop and implement more effective strategies for combating these persistent threats to coffee production in Uganda.

Rapidly changing environmental factors due to climate change are increasing the uncertainty of crop growth, and the importance of crop yield prediction for food security is becoming increasingly evident in Republic of Korea. Traditionally, crop yield prediction models have been developed by using statistical techniques such as regression models and correlation analysis. However, as machine learning technique develops, it is able to predict the crop yield more accurate than the statistical techniques. This study aims at proposing the onion yield prediction framework to accurately predict the onion yield by using various environmental factor data. Temperature, humidity, precipitation, solar radiation, and wind speed are considered as climate factors and irrigation water and nitrogen application rate are considered as soil factors. To improve the performance of the prediction model, ensemble learning technique is applied to the proposed framework. The coefficient of determination of the proposed stacked ensemble framework is 0.96, which is a 24.68% improvement over the coefficient of determination of 0.77 of the existing single machine learning model. This framework can be applied to the particular farmland so that each farm can get their customized prediction model, which is visualized by the web system.

This study examined the feeding behavior and growth performance of 31 Hanwoo steers (10 months old; 278 ± 36.13 kg) within a precision livestock farming system using Roughage Intake Control (RIC) units for real-time data collection. Feeding behavior traits were derived from RIC database data using R software, with subsequent analysis conducted using SAS software. The results indicated that the steers visited the feed stations every 31.12 ± 11.99 minutes, averaging 11 ± 3.37 visits/day. Each feeding session lasted an average of 5.90 ± 1.55 minutes, resulting in a feed intake rate of 77.98 ± 22.53 g/min. Mean daily feed intake was 4.76 ± 1.36 kg, and body weight increased consistently, reaching an average of 412 ± 43.44 kg, with an average daily gain (ADG) of 1.26 ± 0.38 kg. Pearson correlation analysis revealed a strong relationship between daily feed intake and visit duration (r² = 0.621; p < 0.01) and an inverse correlation between daily feed intake and feed intake duration (r² = −0.445; p < 0.05), indicating behavioral adaptation. These findings highlight the importance of monitoring feeding behavior traits concerning growth performance, enhancing our understanding of individual animal behavior and its implications for productivity while emphasizing the role of advanced technologies in optimizing feed utilization in confined livestock systems.