• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.107-114
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• 1999

The large-scale distribution of crops Is usually determined by climate. We present the results of a climate-crop prediction based on spatial bio-physical process model approach, implemented in a GIS (Geographic Information System) environment using several regional and global agriculture-environmental databases. The model utilizes daily climate data like temperature, rainfall, solar radiation being generated stocastically by in-built model weather generator to determine the daily biomass and finally the crop yield. Crops are characterized by their specific growing period requirements, photosynthesis, respiration properties and harvesting index properties. Temperature and radiation during the growing period controls the development of each crop. The model simulates geographic/spatial distribution of climate by which a crop-growing belt can also be determined. The model takes both irrigated and non-irrigated area crop productivity into account and the potential increase in productivity by the technical means like mechanization is not considered. All the management input given at the base year 1995 was kept same for the next twenty-year changes until 2015. The simulated distributions of crops under current climatic conditions coincide largely with the current agricultural or specific crop growing regions. Simulation with assumed weather generated derived climate change scenario illustrate changes in the agricultural potential. There are large regional differences in the response across the country. The north-south and east-west regions responded differently with projected climate changes with increased and decreased productivity depending upon the crops and scenarios separately. When water was limiting or facilitating as non-irrigated and irrigated area crop-production effects of temperature rise and higher $CO_2$ levels were different depending on the crops and accordingly their production. Rise in temperature led to yield reduction in case of maize and rice whereas a gain was observed for wheat crop, doubled $CO_2$ concentration enhanced yield for all crops and their several combinations behaved differently with increase or decrease in yields. Finally, with this spatial modeling approach we succeeded in quantifying the crop productivity which may bring regional disparities under the different climatic scenarios where one region may become better off and the other may go worse off.

• 한국농공학회논문집
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• 제57권1호
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• pp.69-78
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• 2015

The objective of this study was to investigate characteristics of irrigation return flow from paddy block in a reservoir irrigated district during growing seasons. The irrigation return flow was divided into three parts, quick return flow from irrigation canal (RFI), quick return flow from drainage canal (RFD), and delayed return flow (DRF). The RFI was calculated from water level and stage-discharge relationships at the ends of the irrigation canals. The DRF was estimated using measured infiltration amount from paddy fields of the irrigated district. A combined monitoring and modeling method was used to estimate the RFD by subtracting surface runoff from surface drainage. The paddy block irrigated from the Idong reservoir was selected to study the irrigation return flow components. The results showed that daily agricultural water supply (AWS), the RFI, and the RFD were $27.4mm\;day^{-1}$, $4.9mm\;day^{-1}$, and $19.8mm\;day^{-1}$, respectively in May, which were greater than other months (p<0.05). The return flow ratio of the RFI and the RFD were the greatest in July (34.6%) and May (72.3%), respectively. The daily AWS was closely correlated with the RFD (correlation coefficients of 0.76~0.86) in except for July with, while correlation coefficient with the RFI were 0.56 and 0.42 in June and July, respectively (p<0.01). The total irrigation return flow was 1,965 mm in 2011, and 1,588 mm in 2012, resulting in total return flow ratio of 84.6% and 79.1%, respectively. This results indicate that substantial amounts of agricultural water were returned to streams as irrigation return flow. Thus, irrigation return flow should be fully considered into the agricultural water resources planning in Korea.

• 한국잡초학회지
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• 제5권1호
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• pp.14-18
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• 1985

전북지역(全北地域)의 보온절충(保溫折衷)못자리에서 잡초(雜草)의 군락형태(群落形態)를 조사(調査)한 결과(結果)를 요약(要約)하면 다음과 같다. 1. 전북지역(全北地域)의 보온절충(保溫折衷)못자리에 발생(發生)하는 잡초(雜草)는 12과(科)22종(種)이었으며, 일년초(一年草) 13종(種) 및 다년초(多年草) 9종(種)으로 구성(構成)되어 있었다. 2. 발생빈도별(發生頻度別)로 보면 피, 알방동사니, 쇠털골 및 물달개비등(等)은 100%의 발생율(發生率)을 보였으며, 다음으로 방동사니, 너도방동사니 및 여뀌바늘이었다. 3. 1983년(年) 및 1984년(年)에 전체(全體) 조사지역(調査地域)의 각각(各各) 82% 및 89%가 Simpson 지수(指數) 0.1~0.5 사이를 나타내어, 잡초식생(雜草植生)이 다양화(多樣化)되어 있음을 알 수 있었다. 4. 2개년(個年)의 주요우점초종(主要優占草種)은 모두 피 및 알방동사니이었으며, 군락우점도(群落優占度)는 1983년(年)에 0.61에서 1984년(年)에 0.67을 나타내었다.

• 생태와환경
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• 제38권1호통권110호
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• pp.118-127
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• 2005

관개방법이 논에서의 수문 및 수질특성에 미치는 영향을 파악하기 위하여 관개용수가 풍부한 지표수 관개지역과 관개용수가 부족한 지하수관개지역에서의 물수지 및 영양물질수지 분석을 실시하였다. 지표수 관개논은 영농 기간동안 지속적으로 관개가 이루어졌으나, 지하수 관개논은 영농초기에만 이루어졌으며, 그 이후에는 강우에 의해 담수심이 유지되어 지표유출은 지표수 관개논에 비해 상대적으로 낮은 빈도를 나타내었다. 지표수의 영양물질 농도는 시비에 의해 크게 영향을 받는 것으로 나타났으며, 특히 다량의 시비가 이루어지는 영농초기 (5 ${\sim}$ 6월 중순)에는 높은 영양물질 농도를 나타내어 이 시기에 논에서 유출이 이루어진다면 하류 수계에 영향을 줄 것으로 판단되었다. 물수지 분석결과 지하수 관개논의 관개량, 지표유출량 등이 상대적으로 지표수 관개논에 비해 낮은 값을 나타내었다. 영양물질수지분석 결과 대부분의 유입은 시비에 의해 이루어졌으며, 유출은 지표유출이 많은 비중을 차지하였으나 지표유출과 침투유출사이의 비율은 토양의 특성에 좌우되는 것으로 판단된다. 외부에서의 유입을 제외하고 시스템내에서의 유출입만 고려한다면, 물관리가 효율적으로 이루어진 지하수 관개논에서 낮은 부하량을 나타내었다. 그러나 기비가 이루어지고 인위적인 낙수나 강우에 의한 유출이 발생할 경우, 높은 부하량 뿐만 아니라 고농도의 영양물질질이 수계로 유입되는 것으로 나타났다. 논에서의 비점오염관리를 대안으로 현재 시행되고 있는 시비량 감소 뿐 아니라, 효율적인 물관리기법 개발이 포함되어야 할 것으로 판단된다. 특히 영농초기의 강우특성과 논에서의 담수기능을 고려해 볼 때 시비에 의한 높은 영양물질 농도를 나타내는 논 표면수의 유출을 효율적으로 억제할 수 있을 것으로 판단된다. 물꼬높이의 증가와 천수간단관개 영농초기의 강우에 의한 유출을 억제시킴으로써 부족한 관개용수의 절약 뿐만 아니라 하류수계의 수질보호에 기여를 할 것으로 판단되며, 다양한 조건에 따른 환경적인 측면 뿐 아니라 벼의 생리적인 측면은 장기적인 모니터링을 통해 반드시 고려되어야 할 것이다.

• 한국작물학회지
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• 제14권
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• pp.159-164
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• 1973

본 시험은 중부지방에서 재배방법의 차이(이앙재배, 담수직파재배, 건답직파재배)에 따른 수도품종의 생육ㆍ수량의 변이를 알고자 1970-1972년에 걸쳐 수행되었던 바 그 결과를 요약하면 다음과 같다. 1. 파종에서 출수까지의 일수는 담수직파가 이앙재배에 비해 현저히 단축되었으며 건답직파재배는 이앙재배에 비해 출수일수가 연장되었다. 2. 수수는 담수직파재배, 건답직파재배, 이앙재배, 순으로 많았으며 일수영화수는 이앙재배, 건답직파재배, 담수직파재배순으로 많았다. 3. 정조중은 모두 품종 공히 담수직파재배에서 가장 많았고 이앙재배는 건답직파재배보다 증수되었으며 담수직파재배에서 고위수량성인 품종은 사도미노리, 아끼바레, 수원 213-001 등이었다. 4. 수량과 수량구성요소와의 상관을 보면 이앙재배에서는 현미천입중 및 일수영화수, 담수직파재배에서는 일수영화수 및 수수, 건답직파재배에서는 수수와 정(+)의 높은 상관이 인정되었다. 5. 정조중과 출수일수와의 상관은 건답직파재배와 담수직파재배에서는 부(-)의 상관관계가 현저하였으나 이앙재배에서는 부(-)의 상관이 매우 낮았다.

• Plant Biotechnology Reports
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• 제5권2호
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• pp.135-146
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• 2011

The objective of the present research was to map QTLs associated with agronomic traits such as days from sowing to flowering, plant height, yield and leaf-related traits in a population of recombinant inbred lines (RILs) of sunflower (Helianthus annuus). Two field experiments were conducted with well-irrigated and partially irrigated conditions in randomized complete block design with three replications. A map with 304 AFLP and 191 SSR markers with a mean density of 1 marker per 3.7 cM was used to identify QTLs related to the studied traits. The difference among RILs was significant for all studied traits in both conditions. Three to seven QTLs were found for each studied trait in both conditions. The percentage of phenotypic variance ($R^2$) explained by QTLs ranged from 4 to 49%. Three to six QTLs were found for each yield-related trait in both conditions. The most important QTL for grain yield per plant on linkage group 13 (GYP-P-13-1) under partial-irrigated condition controls 49% of phenotypic variance ($R^2$). The most important QTL for 1,000-grain weight (TGW-P-11-1) was identified on linkage group 11. Favorable alleles for this QTL come from RHA266. The major QTL for days from sowing to flowering (DSF-P-14-1) were observed on linkage group 14 and explained 38% of the phenotypic variance. The positive alleles for this QTL come from RHA266. The major QTL for HD (HD-P-13-1) was also identified on linkage group 13 and explained 37% of the phenotypic variance. Both parents (PAC2 and RHA266) contributed to QTLs controlling leaf-related traits in both conditions. Common QTL for leaf area at flowering (LAF-P-12-1, LAF-W-12-1) was detected in linkage group 12. The results emphasise the importance of the role of linkage groups 2, 10 and 13 for studied traits. Genomic regions on the linkage groups 9 and 12 are specific for QTLs of leaf-related traits in sunflower.

• Mycobiology
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• 제32권2호
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• pp.79-87
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• 2004

An experiment was carried out to investigate the effects of pre-inoculation with the mycorrhizal fungus Glomus clarum and foliar application of kinetin on the growth of mungbean plant irrigated wht different dilution of seawater. Arbuscular-mycorrhizal(AM) infection significantly increased dry weight, height, chlorophyll, sugar and protein content, nitrogen and phosphorus-use efficiencies, leaf conductivity, transpiration rate, nitrogenase, acid and alkaline phosphates activities of all salinized mungbean plants in comparison with control and non-mycorrhizal plants irrespective of the presence or absence of kinetin. Mycorrrhizal plants showed higher concentrations of N, P, K, Ca and Mg and lower Na/N, Na/P, Na/K, Na/Ca and Na/Mg ratios than non-mycorrhizal plants when irrigated with certain dilution of seawater. Mungbean plants showed 597% and 770% dependency on AM fungus G. clarum in absence and presence of kinetin, respectively, for biomass production under a level of 30% of seawater. The average value of tolerance index for mycorrhizal plants accounted 267% and 364% in absence and presence kinetin respectively. This study provides evidence for the benefits of kinetin which are actually known for mycorrhizal than non-mycorrhzal plants. AM fungus and kinetin protected the host plants against the detrimental effects of salt. However, mycorrhizal infection was much more effective than kinetin applications. Thus management applications of this arbuscular mycorrhizal endophyte(G. clarum) with kinetin could be of importance in using seawater in certain dilution for irrigation in agriculture.

• Journal of Ecology and Environment
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• 제43권2호
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• pp.129-160
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• 2019

Background: Characterizing and describing soils and land use and make a suggestion for sustainable utilization of land resources in the Ethiopian Rift valley flat plain areas of Lake Chamo Sub-Basin (CSB) are essential. Objectives: To (1) characterize soils of experimental area according to World Reference Base Legend and assess the nature and extent of salinity problems; (2) characterize land use systems and their role in soil properties; and (3) identify best land use practices used for both environmental management and improve agricultural productivity. Methods: Twelve randomly collected soil samples were prepared from the above land uses into 120 composites and analyzed. Results: Organic carbon (OC) and total nitrogen (TN) were varied along different land uses and depleted from the surface soils. The soil units include Chernozems (41.67%), Kastanozems (25%), Solonchaks (16.67%), and Cambisols (16.67%). The identified land uses are annual crops (AA), perennial crops (PA), and natural forest (NF). Generally, organic carbon, total nitrogen, percentage base saturation (PBS), exchangeable (potassium, calcium, and magnesium), available phosphorus (P₂O₅), manganese, copper, and iron contents were decreased in cultivated soils. Soil salinity problem was observed in annuals. Annuals have less nutrient content compared to perennials in irrigated agriculture while it is greater in annuals under rainfed. Clay, total nitrogen, available phosphorus, and available potassium (K₂O) contents were correlated positively and highly significantly with organic carbon and electrical conductivity. Conclusion: Management practices that improve soil quality should be integrated with leguminous crops when the land is used for annual crops production.

• The Plant Pathology Journal
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• 제32권4호
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• pp.329-339
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• 2016

The short-term effects of low-level contamination by heavy metals (As, Cd, Cu, and Pb) on the soil health were examined by analyzing soil nematode community in soils planted with tomatoes. For this, the soils were irrigated with five metal concentrations ([1, 1/4, $1/4^2$, $1/4^3$, and 0] ${\times}$ maximum concentrations [MC] detected in irrigation waters near abandoned mine sites) for 18 weeks. Heavy metal concentrations were significantly increased in soils irrigated with MC of heavy metals, among which As and Cu exceeded the maximum heavy metal residue contents of soil approved in Korea. In no heavy metal treatment controls, nematode abundances for all trophic groups (except omnivorous-predatory nematodes [OP]) and colonizer-persister (cp) values (except cp-4-5) were significantly increased, and all maturity indices (except maturity index [MI] of plant-parasitic nematodes) and structure index (SI) were significantly decreased, suggesting the soil environments might have been disturbed during 18 weeks of tomato growth. There were no concentration-dependent significant decreases in richness, abundance, or MI for most heavy metals; however, their significant decreases occurred in abundance and richness of OP and cp-4, MI2-5 (excluding cp-1) and SI, indicating disturbed soil ecosystems, at the higher concentrations (MC and MC/4) of Pb that had the most significant negative correlation coefficients for heavy metal concentrations and nematode community among the heavy metals. Therefore, the short-term effects of low-level heavy metal contamination on soil health can be analyzed by nematode community structures before the appearance of plant damages caused by the abiotic agents, heavy metals.

• Asian Journal of Innovation and Policy
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• 제10권2호
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• pp.212-235
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• 2021

In spite of the increasing popularity of the Ricardian model for the study of the impact of climate change on agriculture, there has been few attempts to examine the role of interregional spillovers in this framework and all of them rely on geographical proximity-based weighting schemes. We remedy to this gap by focusing on the spatial externalities of surface water flow used for irrigation purposes and demonstrate that farmland value, the usual dependent variable used in the Ricardian framework, is a function of the climate variables experienced locally and in the upstream locations. This novel approach is tested empirically on a spatial panel model estimated across the counties of the Southwest USA over 1997-2012. This region is one of the driest in the country, hence its agriculture relies heavily on irrigated surface water. The results highlight how the weather conditions in upstream counties significantly affect downstream agriculture, thus the actual impact of climate change on agriculture and subsequent adaptation policies cannot overlook the streamflow network anymore.