• Title/Summary/Keyword: Vegetable crop

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Biochemical Methane Potential of Agricultural Byproduct in Greenhouse Vegetable Crops (국내 주요 시설채소 부산물의 메탄 생산 퍼텐셜)

  • Shin, Kook-Sik;Kim, Chang-Hyun;Lee, Sang-Eun;Yoon, Young-Man
    • Korean Journal of Soil Science and Fertilizer
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    • v.44 no.6
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    • pp.1252-1257
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    • 2011
  • Number of crop residues generated at large amount in agriculture can be utilized as substrate in methane production by anaerobic digestion. Greenhouse vegetable crop cultivation that adopting intensive agricultural system require the heating energy during winter season, meanwhile produce waste biomass source for the methane production. The purpose of this study was to investigate the methane production potential of greenhouse vegetable crop residues and to estimate material and energy yield in greenhouse system. Cucumber, tomato, and paprika as greenhouse vegetable crop were used in this study. Fallen fruit, leaf, and stem residues were collected at harvesting period from the farmhouses (Anseong, Gyeonggi, Korea) adopting an intensive greenhouse cultivation system. Also the amount of fallen vegetables and plant residues, and planting density of each vegetable crop were investigated. Chemical properties of vegetable waste biomass were determined, and theoretical methane potentials were calculated using Buswell's formula from the element analysis data. Also, BMP (Biochemical methane potential) assay was carried out for each vegetable waste biomass in mesophilic temperature ($38^{\circ}C$). Theoretical methane potential ($B_{th}$) and Ultimate methane potential ($B_u$) off stem, leaf, and fallen fruit in vegetable residues showed the range of $0.352{\sim}0.485Nm^3\;kg^{-1}VS_{added}$ and $0.136{\sim}0.354Nm^3\;kg^{-1}VS_{added}$ respectively. The biomass yields of residues of tomato, cucumber, and paprika were 28.3, 30.5, and $21.5Mg\;ha^{-1}$ respectively. The methane yields of tomato, cucumber, and paprika residues showed 645.0, 782.5, and $686.8Nm^3\;ha^{-1}$. Methane yield ($Nm^3\;ha^{-1}$) of crop residue may be highly influenced by biomass yield which is mainly affected by planting density.

Suggestion for the Future of Protected Vegetable Crops Culture in Chungnam (충남지방의 시설채소 재배동향과 앞으로의 방향)

  • Lee, Young Bok;Kang, Jae Chol
    • Korean Journal of Agricultural Science
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    • v.17 no.1
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    • pp.18-25
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    • 1990
  • The above results indicate that vegetable crop production using vinyl houses continously increases. However, technical support and facility improvement are still insufficent to establish a full production system. In order to improve the cultural environment in facilities for better vegetable culture, several facters should be considered. 1. Facility design and arrangement should be made to improve micro-environments for crop growth and development because direction of facility and covering materials can affect the amount of light trasmitted into vinyl houses. 2. Cultivation of several leading varieties in each crop may not provide stable production and profit especially under undesirable environmental conditions. Thus, it is required to grow not only leading varieties but also other cultivars to decrease the economic losses. 3. Crops should be carefully managed when planted in early season not to experience low temperatures which induce growth retards. Early season cultivation requires proper selection of cultivars which are resistant to low temperture. 4. Active control of micro-environment in facilities should be made via improving the ventilation and irrigation systems.

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Effect of Vermicompost in Combination with Bacterial and Mineral Fertilizers on the Yield of Vegetable Soybean

  • Bajracharya, S.K.;Shercahn, D.P.;Bhattarai, S.
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.52 no.1
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    • pp.100-103
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    • 2007
  • A field experiment was conducted in Agronomy farm at an altitude of 1350 m. above sea level in a randomized complete block design with three replications and eight treatments on vegetable type soybean in 2005. The objective was to see the effect of vermicompost alone and in combination with Rhizobium inoculum and mineral fertilizers on the yield of vegetable soybean. The result showed higher number of nodules from the non inoculated plot, however, the nodules weight was highest from the inoculated plots. No significant difference was notice statistically on roots and shoots dry weight. Soybean grain was obtained highest (32.3%) over the non inoculated plot followed by vermicompost plus inoculated, however, there was non significant difference. There was a slight increment on grain and straw yield from the inoculated plots over the non inoculated.

Analysis of Crop Survey Protocols to Support Parameter Calibration and Verification for Crop Models of Major Vegetables (주요 채소 작물 대상 작물 모형 모수 추정 및 검증을 지원하기 위한 생육 조사 프로토콜 분석)

  • Kim, Kwang Soo;Kim, Junhwan;Hyun, Shinwoo
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.2
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    • pp.68-78
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    • 2020
  • Crop models have been used to predict vegetable crop yield, which would have a considerable economic impact on consumers as well as producers. A small number of models have been developed to estimate growth and yield of vegetables due to limited availability of growth observation data in high-quality. In this study, we aimed to analyze the protocols designed for collection of the observation data for major vegetable crops including cabbage, radish, garlic, onion and pepper. We also designed the protocols suitable for development and verification of a vegetable crop growth model. In particular, different measures were proposed to improve the existing protocol used by Statistics Korea (KOSTAT) and Rural Development Administration (RDA), which would enhance reliability of parameter estimation for the crop model. It would be advantageous to select sampling sites in areas where reliable weather observation data can be obtained because crop models quantify the response of crop growth to given weather conditions. It is recommended to choose multiple sampling sites where climate conditions would differ. It is crucial to collect time series data for comparison between observed and simulated crop growth and yield. A crop model can be developed to predict actual yield rather than attainable yield using data for crop damage caused by diseases and pests as well as weather anomalies. A bigdata platform where the observation data are to be shared would facilitate the development of crop models for vegetable crops.

Development on Crop Yield Forecasting Model for Major Vegetable Crops using Meteorological Information of Main Production Area (주산지 기상정보를 활용한 주요 채소작물의 단수 예측 모형 개발)

  • Lim, Chul-Hee;Kim, Gang Sun;Lee, Eun Jung;Heo, Seongbong;Kim, Teayeon;Kim, Young Seok;Lee, Woo-Kyun
    • Journal of Climate Change Research
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    • v.7 no.2
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    • pp.193-203
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    • 2016
  • The importance of forecasting agricultural production is receiving attention while climate change is accelerating. This study suggested three types of crop yield forecasting model for major vegetable crops by using downscaled meteorological information of main production area on farmland level, which identified as limitation from previous studies. First, this study conducted correlation analysis with seven types of farm level downscaled meteorological informations and reported crop yield of main production area. After, we selected three types of meteorological factors which showed the highest relation with each crop species and regions. Parameters were deducted from meterological factor with high correlation but crop species number was neglected. After, crop yield of each crops was estimated by using the three suggested types of models. Chinese cabbage showed high accuracy in overall, while the accuracy of daikon and onion was quiet revised by neglecting the outlier. Chili and garlic showed differences by region, but Kyungbuk chili and Chungnam, Kyungsang garlic appeared significant accuracy. We also selected key meteorological factor of each crops which has the highest relation with crop yield. If the factor had significant relation with the quantity, it explains better about the variations of key meteorological factor. This study will contribute to establishing the methodology of future studies by estimating the crop yield of different species by using farmland meterological information and relatively simplify multiple linear regression models.