Italian ryegrass (IRG) has become a vital forage crop due to its increasing cultivation area and its role in enhancing forage self-sufficiency. However, its production is susceptible to environmental factors such as climate change and drought, necessitating precise yield prediction technologies. This study aimed to assess the growth characteristics of IRG and predict dry matter yield (DMY) using vegetation indices derived from unmanned aerial vehicle (UAV)-based remote sensing. The Green Leaf Index (GLI), normalized difference vegetation index (NDVI), normalized difference red edge (NDRE), and optimized soil-adjusted vegetation index (OSAVI) were employed to develop DMY estimation models. Among the indices, GLI demonstrated the highest correlation with DMY (R² = 0.971). The results revealed that GLI-based UAV observations can serve as reliable tools for estimating forage yield under varying environmental conditions. Additionally, post-winter vegetation coverage in the study area was assessed using GLI, and 54% coverage was observed in March 2023. This study assesses that UAV-based remote sensing can provide high-precision predictions of crop yield, thus contributing to the stabilization of forage production under climate variability.
Sorghum-Sudangrass hybrids (SSH) is a grass cereal hybrid crop with a high yield potential under different climatic conditions. The aim of this study was to evaluate the growth characteristics, dry matter yield and nutrient content of the SSH cultivars such as Dairy Mens Dream, Superdan and Supergreen from 2021 to 2023 in Jeju Island, Korea. Among the three cultivars, Superdan grew significantly taller with a larger stem diameter at both harvest times. In contrast, Dairy Mens Dream had least height and less stem diameter, but the dry matter yield was greater for Dairy Mens Dream than other cultivars. Furthermore, the crude protein content at the first cut was higher than 8.5% compared to the second cut (6.5 – 7.0%). The neutral detergent fiber (NDF) and acid detergent fiber (ADF) content was higher in the second harvest of all cultivars compared to the first harvest of SSH in 2021. The SSH cultivation in 2021 and 2023 had higher ADF and NDF content than in 2022, possibly due to the average precipitation and optimum temperature suitable for SSH production in 2021 and 2023. The selected three SSH cultivars showed significant growth characteristics, dry matter content, and nutritional value. The overall data suggested that all three SSH showed significant productivity and nutritional content in the Jeju region of sub-tropical climatic condition.
등에모기과(Ceratopogonidae)는 파리목(Diaptera)에 속하는 미소곤충이다. 이 중 사람과 반추류를 포함하는 척추동물을 흡혈하는 점등에모기속(Genus Culicoides)은 세계적으로 1,368종 이상이 보고되었으며 블루텅, 아프 리카 마역 등 60여개 이상의 질병을 매개하는 것으로 알려져 있다. 현재 국내에 서식하는 Culicoides는 37종이 보고되어있으며, 아카바네, 츄찬 등의 질병을 매개한 기록이 있다. 이에 기후변화에 따른 개체 발생양상과 분포 를 조사하고자 본 연구에서는 아열대화 및 해외유입을 고려하여 경상남도, 전라남도, 제주도 세 권역의 축사 15개 지역에서 5월부터 8월까지 유문등을 이용하여 채집하였다. 총 19종 103,365개체가 채집되었고 Culicoides arakaawae(83,922), Culicoides punctatus(11,184), Culicoides tainanus(3,298) 3종이 전체 채집량 중 95.2%를 차지하 였다. 각 샘플을 채집시기별, 종별, 지역별로 정리한 결과, 종다양성이 가장 높은 지역은 13종이 채집된 진주, 가장 낮은 곳은 3종이 채집된 제주5 지점이었다. 보관된 샘플은 유전자원 확보 및 바이러스보유검사 등의 추가실 험을 통해 국내 등에모기 연구를 위한 기초자료로 활용될 수 있을 것으로 기대된다.