This study was conducted to develop a model for predicting the growth of kimchi cabbage using image data and environmental data. Kimchi cabbages of the ‘Cheongmyeong Gaual’ variety were planted three times on July 11th, July 19th, and July 27th at a test field located at Pyeongchang-gun, Gangwon-do (37°37′ N 128°32′ E, 510 elevation), and data on growth, images, and environmental conditions were collected until September 12th. To select key factors for the kimchi cabbage growth prediction model, a correlation analysis was conducted using the collected growth data and meteorological data. The correlation coefficient between fresh weight and growth degree days (GDD) and between fresh weight and integrated solar radiation showed a high correlation coefficient of 0.88. Additionally, fresh weight had significant correlations with height and leaf area of kimchi cabbages, with correlation coefficients of 0.78 and 0.79, respectively. Canopy coverage was selected from the image data and GDD was selected from the environmental data based on references from previous researches. A prediction model for kimchi cabbage of biomass, leaf count, and leaf area was developed by combining GDD, canopy coverage and growth data. Single-factor models, including quadratic, sigmoid, and logistic models, were created and the sigmoid prediction model showed the best explanatory power according to the evaluation results. Developing a multi-factor growth prediction model by combining GDD and canopy coverage resulted in improved determination coefficients of 0.9, 0.95, and 0.89 for biomass, leaf count, and leaf area, respectively, compared to single-factor prediction models. To validate the developed model, validation was conducted and the determination coefficient between measured and predicted fresh weight was 0.91, with an RMSE of 134.2 g, indicating high prediction accuracy. In the past, kimchi cabbage growth prediction was often based on meteorological or image data, which resulted in low predictive accuracy due to the inability to reflect on-site conditions or the heading up of kimchi cabbage. Combining these two prediction methods is expected to enhance the accuracy of crop yield predictions by compensating for the weaknesses of each observation method.

본 연구는 논토양에서 돈분액비의 시용이 화본과 및 두과 녹비작물의 생육과 양분공급량에 미치는 영향을 조사하기 위해, 화본과 녹비작물과 두과 녹비작물을 파종하여 돈분액비 시용유무에 따라 biomass 및 양분공급량을 조사하였다. 파종된 화본과 녹비작물은 호밀(Secale cereale L.)과 청보리(Hordeum vulgare L.)이었으며, 두과 녹비작물은 자운영(Astragalus sinicus L.)과 헤어리베치(Vicia villosa roth)이었다. 돈분액비를 투입함에 따라 녹비작물의 biomass는 유의성 있게 증가하였으며, 돈분액비 무시용구 대비 돈분액비 시용구의 biomass 증가율은 청보리(154%) > 호밀(138%) > 헤어리베치(45%) > 자운영(41%)순으로 높았다. 녹비작물의 양분공급량도 biomass와 마찬가지로 돈분액비를 투입함에 따라 유의성 있게 증가하는 경향이었으며, 돈분액비 무시용구 대비 돈분액비 시용구의 N, P2O5 및 K2O 공급량은 각각 205∼220, 109∼197 및 166∼184% 범위이었다. 돈분액비를 투입함에 따른 녹비작물의 biomass와 양분공급량 증가율은 전반적으로 두과 녹비작물보다 화본과 녹비작물에서 매우 우수한 경향이었다. 특히, 화본과 녹비작물의 증가된 양분공급량은 두과 녹비작물에 비해 약 3배 정도 더 높았다. 이상의 결과를 종합해 볼 때, 돈분액비 시용에 따른 양분이용효율은 화본과 녹비작물(호밀 및 청보리)이 두과 녹비작물(자운영 및 헤어리베치)에 비해 더 효과적인 것으로 판단된다.

본 연구는 기능성 곡물로 이용되고 있는 아마란스(Amaranthus ssp.)를 어린잎채소 용도로 개발하기 위하여 국내에 보유되어 있는 유전자원에 대한 어린잎 생육특성, 엽 적색도 발현 정도 및 기능성 물질의 함량 변이를 평가함으로써 어린잎채소로서 이용 가능한 유망 아마란스 자원 선발을 위하여 수행되었다. 국내에 수집․보존되어 있는 아마란스 유전자원 262 종에 대하여 색도색차계로 측정한 엽 적색도 발현 정도를 기준으로 전체 자원의 상위 15%에 해당하는 39종을 1차 선발하였다. 1차 선발된 유전자원에 대하여 고온기 및 저온기의 재배를 통하여 어린잎 생육과 유전자원 별 적색소 발현을 검증 평가하여 안정적인 적색 강도를 보이는 고색도 자원을 최종 선발하였다. 아마란스의 엽 적색도는 모든 1차 선발 계통들에 있어서 고온기에 비해 저온기 재배 시 적색도 발현이 우수하였으며 2회의 재배를 통한 평균 적색도 발현 정도를 기준으로 IT199970 등 11종의 자원을 선발하였다. 이들 선발된 유전자원들에 대한 어린잎 생체중 및 총페놀 함량, 총플라보노이드 함량 정보를 제시하였다. 이들 선발 종들은 5개의 아마란스 종에 속하였으며 엽 적색도 발현이 우수하여, 향후 적색 풍미를 더하는 어린잎 샐러드 채소의 소재로서 이용 가능할 것으로 판단된다.

The relationship between source leaf position and photo-assimilate translocation and distribution was characterized for tomato (Lycopersicon esculentum Mill) grown in the greenhouse. Three different positions of source leaf on the stem (first node above or below the first fruit cluster and 5th node above the first fruit cluster) were tested for their influence on 14CO2 assimilation and transfer to different parts of the plant. The leaves at the 5th node above the first fruit cluster transferred the highest (57%) proportion of C14 to other plant parts, followed by leaves home on the first node below the first fruit cluster (50%), and the first node above the first fruit cluster (39%). In all treatments, fruits served as the strongest sink for C14, followed by stem, leaf, and root tissues. The leaf home on the 5th node above the first fruit cluster transferred the largest amount of C14 to the second fruit cluster.

Due to climate change, the occurrence of abnormal weather conditions has become more frequent, causing damage to vegetable crops grown in Korea. Hot pepper, Chinese cabbage and radish, the three most popular vegetables in Korea, are produced more in the field than in the greenhouse. It has been a trend that the time for field transplanting of seedlings is getting earlier and earlier as the spring temperatures keep rising. Seedlings transplanted too early in the spring take a longer time to resume the normal growth, because they are exposed to suboptimal temperature conditions. This study examined the influence of air temperature during seedling growth on the time required to reach the first fruit maturity and yield of hot pepper. Seedling plants of ‘Super Manita’ hot pepper was grown in temperatures 2.5℃ and 5.0℃ lower than the optimum temperature (determined by the average of temperatures for the past 5 years). Seedlings were transplanted into round plastic containers (30-cm diam., 45-cm height) and were placed in growth chambers in which the ambient temperature was controlled under natural sunlight. The growth of seedlings under lowered temperatures was reduced compared to the control. The mineral (K, Mg, P, N) concentrations in the leaf tissues were higher when plants were grown with the ambient temperature 2.5℃ lower than the optimum, regardless of changes in other growth parameters. Tissue calcium (Ca) concentration was the highest in the plants grown with optimum temperature. The carbohydrate to nitrogen (C/N) ratio, which was the highest (18.3) in the plants grown with optimum temperature, decreased concomitantly as the ambient temperature was lowered 2.5℃ and 5.0℃. The yield of the early harvested fruits was also reduced as the ambient temperature became lower. The first fruit harvest date for the plants grown with optimum temperature (June 27) was 13 days and 40 days, respectively, earlier than that in plants grown with 2.5℃ (July 10) and 5.0℃ (Aug 6) lower ambient temperatures. The fruit yield per plant for the optimum temperature (724 g) was the greatest compared to those grown with 2.5℃ (446 g) and 5.0℃ (236 g) lower temperatures. The result of this study suggests that the growers should be cautioned not to transplant their hot pepper seedlings too early into the field, since it may delay the time of first harvest eventually reducing total fruit yield.

The purpose of this article is analyzing the impacts of climate change on winter chinese cabbage yield in Korea, with employing a panel data regression model. Our results show that there is a negative impacts of high temperature and precipitation amount on winter chinese cabbage yields. Especially high temperature and rainfall in September cause serious damage to winter chinese cabbage yield. According to the reduction schedule on greenhouse gas emission(RCP 4.5 scenario.), winter chinese cabbage yield would be 7.7% lower than it is, for reasons of high temperature and rainfall damages by the end of 21st century.

The purpose of this article is analyzing the impacts of climate change on red pepper yield in Korea, with employing a panel data regression model. Our results show that there is a negative impacts of high temperature and precipitation amount on red pepper yields. Especially high temperature and rainfall in July cause serious damage to red pepper yield. According to the reduction schedule on greenhouse gas emission(RCP 8.5 scenario.), red pepper yield would be 25.4% lower than it is, for reasons of high temperature and rainfall damages by the end of 21st century.