• Title/Summary/Keyword: 논벼

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기후변화에 따른 논벼 물발자국의 불확실성 및 민감도 분석

  • Oh, Bu-Yeong;Lee, Sang-Hyun;Lee, Sung-Hack;Choi, Jin-Yong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.274-274
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    • 2015
  • 전 세계적으로 식량과 물 안보에 대한 중요도가 높아지고 있으며 이에 따라 물발자국은 식량과 물을 연계하는 요소로서 거론되고 있다. 물발자국은 제품이 생산되는 과정동안에 사용되는 물의 양을 의미하며 $m^3/ton$으로 표현한다. 이러한 물발자국은 작물 필요수량 및 생산량을 기반으로 산정되기 때문에 기후변화와 밀접한 관계가 있다. 따라서 농업 및 수자원 계획 분야에서 물발자국의 활용성을 높이기 위해서는 기후변화에 따른 우리나라 농산물의 물발자국 변화를 살펴보는 것이 필요하다. 이에 따라 본 연구에서는 기후변화에 따른 논벼의 농업용수량 및 생산량 산정을 통하여 미래의 녹색 및 청색 물발자국을 산정하고, 시기 및 시나리오별 불확실성 및 민감도를 평가하고자 하였다. 기후변화 시나리오는 RCP 기반의 신 기후변화 시나리오를 이용하였으며, 물발자국 산정 작물은 우리나라의 주곡인 논벼를 대상으로 하였다. 물발자국은 작물의 단위생산량당 소비되는 물의 양으로 정의되며, 최근 연구에서 물발자국은 용수 공급원에 따라 녹색(green), 청색(blue), 회색(grey) 물발자국으로 구분하여 산정되고 있다. 본 연구에서는 작물의 증발산으로 소비되는 수량만을 물발자국 산정에 적용하여 증발산량 중 강우에 의해 공급되는 수량인 녹색 물발자국과 관개에 의해 인위적으로 공급되는 수량인 청색물발자국을 산정하였다. 기후변화에 따른 미래의 작물의 생산량을 산정하기 위해 작물모델로 기상, 재배관리, 작물의 유전정보, 토양수분 및 질소의 효과까지 고려하여 작물의 생육뿐만 아니라 생산량까지도 모의할 수 있는 CERES-Rice모델을 적용하였다. 미래 기후 전망을 위한 전지구모형은 종류가 다양하고 모형의 특성과 모형 입력 자료에 따라 모의 결과가 상이하게 나타남에 따라 불확실성을 내포하고 있다. 따라서 기후변화에 능동적으로 대처할 수 있는 논벼의 물발자국을 산정하기 위하여 각 시나리오 및 시기별 물발자국의 불확실성 및 민감도를 분석하였다. 본 연구의 결과는 기후변화에 따른 미래 농업수자원의 변화를 분석하는데 이용될 수 있을 뿐 만아니라 우리나라 미래 국가수자원 정책의 수립을 위한 기초자료로 활용될 것으로 기대된다.

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17세기 벼 모내기 재배의 기술체계

  • 김영진
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2001.09a
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    • pp.91-96
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    • 2001
  • 중국, 일본에 비해 우리나라의 모내기나 논의 이모작은 늦게 발전하였고, 모내기는 17세기 초에 원리면에서 최근의 기술과 유사한 논벼 모내기재배의 기술체계가 확립되었으며, 논보리재배가 정착되었다. 우리나라 모내기가 경상도에서 먼저 시작된 것은 중국의 농상집요(농상집요 1273)를 1372년 합천에서 복간 4(復刊)한 것과 관계가 있지 않나 추정된다.

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Selection Factors for Cultivation Practices in Paddy Rice Farming (논벼 농가의 재배기술 선택요인 분석)

  • Jeong, U Seok;Kim, Seongsup;Seo, Sangtaek
    • Journal of Agricultural Extension & Community Development
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    • v.25 no.1
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    • pp.45-56
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    • 2018
  • This study analyzed the selection factors for cultivation practices in paddy rice farming. For the study, conjoint model with part-worth utility was adopted, where model profiles included three attributes of yield, production cost, and cultivation difficulties and two levels for each attribute. The value of each level was set up with experimental data obtained from National Institute of Crop Science. Ninety three rice farmers, who joined Korea Rural Economic Institute as farmer correspondences, were surveyed through internet with the profiles selected by factorial design. Result showed that rice farmers considered cultivation difficulties as the most important selection factor to adopt new cultivation practices followed by production cost and yield in consecutive order. This results were robust in spite of past experiences with new practices, willingness to adopt new practices in the future, imitative nature and government interventions.

Effect of annealing treatment on gelatinization of upland and lowland waxy brown rice starches (아닐링 처리가 밭벼와 논벼 찹쌀 전분의 호화에 미치는 영향)

  • Kim, Sung-Kon
    • Applied Biological Chemistry
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    • v.34 no.2
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    • pp.187-189
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    • 1991
  • Gelatinization temperatures of upland and lowland waxy brown rice starches annealed at $25^{\circ}C$ and $60^{\circ}C$ for 24hr were investigated with differential scanning calorimetry No annealing effect was observed at low temperature. The upland rice starch showed narrower range of gelatinization temperature upon annealing treatment at $60\circ}C$ compared with the lowland rice starch. The enthalpy of gelatinization was not changed in case of the upland rice starch but was increased in case of the lowland one upon annealing.

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Cultivating Rice with Reclaimed Wastewater (농업용수 재이용을 위한 논벼 생육시험)

  • Kim, Hak-Kwan;Park, Seung-Woo;Kim, Sang-Min
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2003.10a
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    • pp.267-270
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    • 2003
  • This paper presents a recent finding from the progressed research efforts on the application for wastewater reclamation and reuse for agricultural uses. Reclaimed effluents from the Suwon municipal sewer treatment plant has been used to irrigate paddy rice at experimental plots. Three levels of reclamation treatments, filtration, disinfection, and the both, and one treatment to apply heavily polluted stream flow are compared to the control which uses groundwater for irrigation. The rice growth indicated by plant height and tiller number, and the yields were compared statistically among the five treatments. The results showed that the rice yields from polluted stream were greatest, and the control showed the lowest yields. And the first year experiment indicated that the agricultural reuse is promising.

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Estimation of Paddy Crop Coefficients for Penman-Monteith Method (논벼에 대한 Penman-Monteith 공식의 작물 계수 산정)

  • Yoo, Seung-Hwan;Choi, Jin-Yong;Jang, Min-Won
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2005.10a
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    • pp.20-25
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    • 2005
  • In 1998, Food and Agriculture Organization addressed that FAO Modified Penman method possibly overestimates consumptive use of water comparing to the measured reference crop evapotranspiration (PET) and Penman-Monteith method can be better choice for accurate PET estimation. Nevertheless it is still difficult to find research efforts about paddy rice crop coefficient for Penman-Monteith method. This study aims to estimate paddy rice crop coefficients for Penman-Monteith method. To estimate the crop coefficients, measured evapotranspiration data during 1982-1986 were used. The average Penman-Monteith crop coefficients for transplanted paddy rice were ranged in $0.78\;{\sim}\;1.58$.

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Estimation of Paddy Rice Crop Coefficients for FAO Penman-Monteith and Modified Penman Method (논벼에 대한 Penman-Monteith와 FAO Modified Penman 공식의 작물 계수 산정)

  • Yoo Seung-Hwan;Choi Jin-Yong;Jang Min-Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.48 no.1
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    • pp.13-23
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    • 2006
  • In 1998, Food and Agriculture Organization addressed that FAO Modified Penman method possibly over-estimates consumptive use of water comparing to the measured reference crop evapotranspiration (PET) and Penman-Monteith method can be better choice for accurate PET estimation. Nevertheless it is still difficult to find research efforts about paddy rice crop coefficient for Penman-Monteith method. This study aims to estimate paddy rice crop coefficients for Penman-Monteith and FAO modified Penman methods in the manner of comparing two equations. To estimate the crop coefficients, measured evapotranspiration data during 1982-1986 and 1995-1997 were used. The average Penman-Monteith crop coefficients ranged from 0.78 to 1.58 for translated paddy rice and from 0.87 to 1.74 for flood-direct seeded paddy rice. The average FAO Modified Penman crop coefficients ranged from 0.65 to 1.35 for translated paddy rice and from 0.70 to 1.58 for flood-direct seeded paddy rice.

Prediction of Rice Yield in Korea using Paddy Rice NPP index - Application of MODIS data and CASA Model - (논벼 NPP 지수를 이용한 우리나라 벼 수량 추정 - MODIS 영상과 CASA 모형의 적용 -)

  • Na, Sang Il;Hong, Suk Young;Kim, Yi Hyun;Lee, Kyoung Do;Jang, So Young
    • Korean Journal of Remote Sensing
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    • v.29 no.5
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    • pp.461-476
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    • 2013
  • Carnegie-Ames-Stanford Approach (CASA) model is one of the most quick, convenient and accurate models to estimate the NPP (Net Primary Productivity) of vegetation. The purposes of this study are (1) to examine the spatial and temporal patterns of vegetation NPP of the paddy field area in Korea from 2002 to 2012, and (2) to investigate how the rice productivity responded to inter-annual NPP variability, and (3) to estimate rice yield in Korea using CASA model applied to MOderate Resolution Imaging Spectroradiometer (MODIS) products and solar radiation. MODIS products; MYD09 for NIR and SWIR bands, MYD11 for LST, MYD15 for FPAR, respectively from a NASA web site were used. Finally, (4) its applicability is to be reviewed. For those purposes, correlation coefficients (linear regression for monthly NPP and accumulated NPP with rice yield) were examined to evaluate the spatial and temporal patterns of the relations. As a result, the total accumulated NPP and Sep. NPP tend to have high correlation with rice yield. The rice yield in 2012 was estimated to be 526.93kg/10a by accumulated NPP and 520.32 kg/10a by Sep. NPP. RMSE were 9.46kg/10a and 12.93kg/10a, respectively, compared with the yield forecast of the National Statistical Office. This leads to the conclusion that NPP changes in the paddy field were well reflected rice yield in this study.