Green pesticides, derived from natural sources, have gained wider attention as an alternative approach to synthetic pesticides in managing polyphagous pests like Spodoptera litura. In this study, the methanolic flower extract of Nyctanthes arbor-tristis (Mx-Na-t) was subjected to chemical screening, and major peak area derivatives 3-Hydroxy-1,2-dimethyl-4(1H)-pyridone (3H-dp) and Tyrosol (Ty-ol) were identified. The toxicity against S. litura larvae of Mx-Na-t (at 500 ppm) was highest in third instars (96.4%), and for 3H-dp and Ty-ol (at 5 ppm) in II instars (76.5% and 81.4%, respectively). The growth and development of S. litura larvae and pupae were significantly reduced by all three extract and phytochemical treatments. Fecundity rates also declined with the treatments, from 1,020 eggs (control) to 540 eggs (Mx-Na-t), 741 eggs (3H-dp), and 721 eggs (Ty-ol). The extract and its active constituents decreased adult emergence and slowed total larval development in a dosedependent manner. The major gut enzymes of S. litura decreased in young larvae (II instar) exposed to Mx-Na-t, 3H-dp, and Ty-ol. Fourth instar midgut tissues were severely damaged by Mx-Na-t (250 ppm), 3H-dp, and Ty-ol (2.5 ppm) treatments, which induced structural damage to the epithelial cells and gut lumen. The earthworm Eisenia foetida was used to test for non-target toxicity. Crude Mx-Na-t at 500 ppm (13% and 3%) and 3H-dp (9.3% and 2.1%) and Ty-ol (10.2% and 1.5%) at 5 ppm produced lower mortality than the synthetic chemical cypermethrin at 1.0 ppm (27% and 18%) in filter paper and artificial soil assays, respectively. In addition, there was no significant change in earthworm weights under all three phytochemical treatments compared to controls. Additionally, the in-silico predictions of BeeTox and ProTox II indicated little or no toxicity toward honey bees and other nontargets associated with 3H-dp and Ty-ol. Overall these phyto-chemicals offer an effective pest management strategy.

This study aimed to investigate the effects of amino acid complex additives, such as protected vitamin C (VC) or detoxified sulfur (DS), on the growth and metabolism of Hanwoo cattle under high-temperature conditions. Accordingly, farms in Temperature-Humidity Index (THI) regions ranging from 78 to 89 for over 100 days were selected. The experimental groups were control, T1 (lysine + methionine + VC, 50 g/head/day), and T2 (lysine + methionine + DS, 50 g/head/day) with 70, 77, and 71 animals each. The range of the THI for 115 days was 78-89, and this occurred in most of the experiment days. The results showed that there was no significant difference in rectal temperature among the groups. The body weight increased to 786.4 and 809.0kg in the T1 and T2 groups, respectively, compared to the control group (p<0.05). Linoleic acid showed a high result of 2.01% in the T1 group compared to the control group (p<0.05). Unsaturated fatty acids were higher at 55.70 and 56.54% in the T1 and T2 groups, respectively, compared to the control group (p<0.05), and the omega 6/3 ratio was reduced to 20.10% (p<0.05). These findings indicate that T1 has a positive impact on growth, meat quality, and fatty acid composition compared to the control group. In conclusion, amino acid complex with VC improved the body weight of Hanwoo steers and the unsaturated fatty acids and essential amino acids of their meat; however, further research is needed to clarify this impact on carcass performance.

During the larval development process of insects, juvenile hormone (JH) is essential for regulating various aspects of larval life, including growth, reproduction, and behavior, throughout their larval stage. The larval stage of Spodoptera frugiperda, when it consumes plant-derived metabolites, develops into pupae, but these pupae are unable to molt successfully. In this way, plant-derived metabolites contain or produce inhibitors of juvenile hormone, thereby disrupting the development of insect larvae and making them vulnerable to harm. Therefore, in this study, we established an in vitro screening system using yeast cells transformed with the Met-SRC juvenile hormone receptor of S. frugiperda. Through this system, we were able to identify juvenile hormone disruptors from plant-derived metabolites and confirm their developmental inhibitory effects on the larvae of S. frugiperda.

The beet armyworm, Spodoptera exigua, is one of the worldwide distributed agricultural pest insects and has been known to show high resistance to conventional chemical insecticides. Since it has been reported that secondary metabolites from actinomycetes show insecticidal activities against various insect pests, actinomycetes could be a potential source of insecticidal compounds. In this study, culture extracts of Streptomyces strains were tested for their insecticidal activity against Spodoptera exigua. Among them, culture extracts of IMBL-0003 strain which was identified as Streptomyces celluloflavus showed a high insecticidal activity (more than 90% mortality). These results suggested that secondary metabolites of this isolate could have potentials to be a efficient eco-friendly pesticide for controling Spodoptera exigua.

Nowadays, artificial intelligence model approaches such as machine and deep learning have been widely used to predict variations of water quality in various freshwater bodies. In particular, many researchers have tried to predict the occurrence of cyanobacterial blooms in inland water, which pose a threat to human health and aquatic ecosystems. Therefore, the objective of this study were to: 1) review studies on the application of machine learning models for predicting the occurrence of cyanobacterial blooms and its metabolites and 2) prospect for future study on the prediction of cyanobacteria by machine learning models including deep learning. In this study, a systematic literature search and review were conducted using SCOPUS, which is Elsevier’s abstract and citation database. The key results showed that deep learning models were usually used to predict cyanobacterial cells, while machine learning models focused on predicting cyanobacterial metabolites such as concentrations of microcystin, geosmin, and 2-methylisoborneol (2-MIB) in reservoirs. There was a distinct difference in the use of input variables to predict cyanobacterial cells and metabolites. The application of deep learning models through the construction of big data may be encouraged to build accurate models to predict cyanobacterial metabolites.

본 연구는 소맥 위주 사료에 xylanase 효소제의 첨가가 육성돈의 사양성적, 영양소 소화율, 혈액성상, 분 중 휘발 성 지방산 및 암모니아성 질소 농도에 미치는 영향을 알 아보기 위하여 실시하였다. 총 192두(4처리, 8반복, 반복당 6두)의 육성돈(25.14±0.11 kg)을 공시하여 xylanase 첨가수 준(0, 0.0125, 0.025, 0.0375%)으로 6주간 사양시험을 실시 하였다. xylanase의 첨가수준이 증가함에 따라 전체 사양 구간에서의 일당증체량(ADG), 일일사료섭취량(ADFI) 및 사료요구율(FCR)이 유의적으로 개선되는 효과를 나타냈 다(p<005). 영양소 소화율에 있어서, xylanase 첨가수준이 증가함에 따라 phase Ⅰ에서는 건물 및 에너지, phase Ⅱ 에서는 조단백질 소화율이 유의적으로 개선되었으며, 또 한 육성돈의 혈중 GLU 농도는 사료 내 xylanase의 첨가 수준이 증가함에 따라 유의적으로 증가하는 효과를 보였 다(p<0.05). 반면에, 휘발성 지방산 및 암모니아성 질소 농 도에서 xylanase의 유의적인 첨가효과는 나타나지 않았다 (p>0.05). 결론적으로, 소맥 위주의 사료 내 xylanase의 첨 가는 육성돈의 사양성적, 영양소 소화율 및 혈중 GLU 농 도를 증가시키는데 긍정적인 효과를 보였으며, 육성돈 사 료내 소맥을 주원료로 사용할 경우 xylanse의 적정 첨가 수준은 0.0375%으로 사료된다.

옥수수의 내습성은 우리나라 옥수수 재배면적 확대와 자급률 향상을 위해 고려되어야 할 중요한 요소 중 하나이다. 본 연구는 내습성 옥수수 계통 개발을 위한 기초 연구로서, 토양의 표면침수조건에서 변화하는 옥수수 뿌리의 대사체를 분석하여 옥수수의 내습성 관련 생리 기작을 구명하고자 수행되었다. 우리나라 옥수수 유전자원(Zea mays L.)과 야생종 옥수수(Zea mays spp. parviglumis) 간 교배를 통하여 내습성이 향상된 계통을 개발했고, 그 중 19KT-32P를 유묘단계(V3)에 7일 동안 침수시킨 후 뿌리에서 발현되는 대사체를 탐색하고 분석하였다. 총 180개 대사체가 확인되었 고, 그 중에서 ℽ-aminobutyric acid (GABA), putrescine, citrulline, Gly, Ala 등 8개 대사체는 각각 2.5배 이상 발현이 증가 또는 감소하였다. 확인된 대사체는 식물에서 pH, 삼투압, K+/Ca++ 및 ATPase 활성을 조절하는 비생물적 스트레스와 관련이 있었다. 특히 가장 발현이 높은 GABA는 glutamate decarboxylase (GAD) 효소에 의해 축적되며, 본연구에서 분석한 결과 10개의 유전자형이 확인되었다. 특히 첫 번째 엑손은 매우 보존적이었지만, 두번째 엑손부터 많은 SNP 다형성이 확인되었다. 이러한 결과는 앞으로 내습성 옥수수 선발을 위한 분자마커로 활용되어 육종 효율을 높이는 좋은 수단으로 이용될 수 있을 것으로 생각된다.

글루탐산은 식물의 생장과 발달에 중요한 역할을 하는 필수 아미노산의 전구체이며, 저온 보호 물질로 이어지는 생합성 경로를 자극하여 저온 피해를 줄이는 생물자극제 중 하나이 다. 본 연구에서는 저온 스트레스 조건에서 글루탐산 엽면 처 리가 배추에 미치는 영향을 평가하였다. 글루탐산 2가지 엽면 시비 농도(0 및 10mg·L-1)와 3가지 주/야간 온도 수준(11/－1 °C extremely low, E; 16/4°C moderately low, M; 21/9°C optimal, O)을 결합하여 6개의 처리가 수행되었다. 글루탐산 의 엽면 처리는 정식 후 10일에 1회 살포하고, 글루탐산 처리 직후 온도 처리는 최대 4일 동안 실시하였다. 처리 4일 후, ABA, PA, DPA 및 ABA-GE 함량은 M 처리에서 Glu 0 처리 보다 Glu 10 처리에서 함량이 더 높았다. Glucose 함량은 E 및 Glu 10 처리에서 가장 높은 반면(52.1mg·100g-1 dry weight), fructose 함량은 O 및 Glu 0 처리에서 함량이 가장 높았다 (134.6mg·100g-1 dry weight). GLP, GBS, 4MGBS, GNBS 및 GNS 함량은 E 및 Glu 10 처리에서 모든 처리 중 가장 높았 다(0.72, 2.05, 1.67, 9.40 및 0.85μmol·g-1 dry weight). 처리 2일 후 E 및 Glu 10 처리의 PA와 DPA함량에서 급격한 변화 를 확인하였고, 몇몇 개별 glucosinolate 함량(GLP, GBS, 4MGBS, GNBS 및 GNS)은 저온과 글루탐산 처리에 따라 유 의적 차이를 확인할 수 있었다. 또한, fructose는 glucose 대신 fructan을 에너지원으로 사용하였기 때문에 처리 4일후 E와 M처리에서 O 처리에 비하여 유의적으로 낮은 함량을 보였다. 따라서, 저온과 글루탐산 엽면 처리에 따른 PA, DPA, glucose, fructose 및 개별 glucosinolate 물질들의 변이를 확 인하였지만, 저온과 글루탐산의 효과에 관한 명확한 상관관계를 평가할 수는 없었다. 배추과 작물은 호냉성 채소로서 저 온에 민감하게 반응하지 않고, 대부분 내한성을 가지고 있기 때문으로 판단된다.

Meat affects color and quality by metabolite concentrations. Meat produces metabolites, and metabolites are caused by a variety of causes. Meat also produces metabolites by oxidation, which is an inevitable chemical process that meat undergoes which is resulting information of various chemical compounds. Thus, the aim of this study was to profiling the change of metabolites of M. longissimus lumborum during the storage at 4°C. Instrumental color measurements were showed decreasing chroma value, redness and yellowness (P<0.05) during storage, while non-significance (P>0.05) changes found in lightness value. Above all, hue angle was highest at 21 d of storage (P<0.05). The lipid and protein oxidation of muscles was measured by TBARS value significantly increased (P<0.05), thiol and carbonyl groups were also increased significantly (P<0.05) during the display. Total 19 of 60 identified compounds appeared to have a significant difference by storage time (P<0.05). Hue angle had a significant correlation with specific metabolites such as carbon disulfide, 3-methyl-1-butanol, 2-ethyl-1-hexanol, lactic acid and palmitic acid (P<0.05). Results of the current study provide the conversion of volatile and non-volatile metabolites and their correlation with oxidative indicators for changes in meat quality during aerobic storage.