• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 9th Asian Crop Science Association conference
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• pp.332-332
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• 2017

Rice ratooning is the cultural practices to produce easily second rice from the stubble left behind after the main-crop harvest. The main advantage of rice ratooning is that in areas where rice is the main crop, double crop of rice can be grown for additional returns. Three early ripened rice cultivars were tested for estimation their milled rice quality and starch characteristics from main and ratoon rice. The main crop was harvested at mass maturity, after which the tillers were mowed to stubbles of about 10 cm tall. And then it left without any further input until the ratooned plant was ready for harvest. Highly significant variations were detected in the milled rice quality between main and ratoon rice. Protein and amylose contents of ratoon rice were more increased than those of main rice. The Toyo value (gloss) of cooked rice of ratoon crop was measured also higher than that of main crop. It resulted from higher air temperature during grain ripening compared with that of ratoon crop. The mean temperature during ripened period of ratoon rice was favorable for optimal maturation for early ripened rice cultivars. Normalized chromatograms of branch chain length distribution of amylopectin are demonstrated a distinct difference between main and ratoon rice flour. Ratoon rice had higher amount of short chains than that of main crop rice starches. Microscopic examination of rice flours with scanning electron microscopy shows starch granule shapes affected by the cropping types, main and ratoon rice. It showed significant differences among rice starch granule shapes and in granule size between main and ratoon rice. Starch of ratoon rice had more neat and smaller granules than that of main rice.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2004년도 춘계 학술대회지
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• pp.222-223
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• 2004

• 대한원격탐사학회지
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• 제36권5_1호
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• pp.725-733
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• 2020

본 연구의 목적은 (1) MCD12Q1 자료를 이용하여 시계열 마스크 맵 작성하여 (2) 시계열 마스크 맵의 연차별 논벼 재배면적 변화를 추출하고, (3) MYD13Q1 NDVI와 단수와의 상관계수를 비교하여 (4) 적용성을 검토하는 것이다. 이를 위해 2002년부터 2019년까지의 연도별 MCD12Q1 PFT 자료를 수집하여 시계열 마스크 맵을 작성하고 고정형 마스크 맵과 비교하였다. 그 결과, 시계열 마스크 맵에 의한 논벼 재배면적이 실제 논벼 재배면적의 변동 특성을 잘 반영하고 있는 것으로 나타났으며, 고정형 마스크 맵과 비교하여 NDVI와 논벼 단수와의 상관계수도 높게 나타나 시계열 마스크 맵이 논벼 고유의 식생지수 추출 및 작황 모니터링, 단수 추정의 정확도를 높이는 방법임을 확인하였다.

• 식물병과 농업
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• 제5권1호
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• pp.1-7
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• 1999

The grain rot of caused by Bukholderia glumae was fist reported in japan in 1955 and then reported in other countries as well as in Korea in 1986. The pathogen causes both seedling and grain rot of rice but it cannot attack any other parts of adult rice plant. Bacterial colonies grow slowly, and are circular and greyish white. The causal bacterium is Gram-negative and rod shape with 1-3 polar flagella, and produce a diffusible yellow-greenish nonfluorescent pigment on King's medium B. Biochemical characteristics such as negative in arginine dehydrolase, oxidase reaction and nitrate reduction and positive in lecithinase, and the utilization of L-arginine and inositol are useful in differentiation of this from other nonfluorescent bacteria pathogenic to rice. This pathogenic bacterium had belonged to the genus of Pseudomonas but recently was transferred to the new genus Burkholderia on the basis of physiological characteristics and DNA-DNA hybridization data. However, other characteristics such as colony heterogenicity or colonial variation after subcultures, phytotoxin, secreting antibiotics, and relationship between yellow greenish pigment production and pathogenicity need to be clarified more. To develop an effective control strategy for this disease, understanding of detailed life cycle of the disease and critical environmental factors affecting disease development is prerequisite. Although 5,435 ha of rice paddy in Korea was infested during 1998, there is no exact estimation of yield losses and distribution of the pathogen. The review will focus on recent progress on the understanding of the bacteriological and ecological characteristics of the causal bacterium and control means of the disease.

• 한국작물학회지
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• 제47권5호
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• pp.390-394
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• 2002

Spikelet number per unit area(SPN) is a major determinant of rice yield. Nitrogen nutrition status and biomass during reproductive stage determine the SPN. To formulate a model for estimating SPN, the 93 field experiment data collected from widely different regions with different japonica varieties in Korea and Japan were analyzed for the upper boundary lines of SPN responses to nitrogen nutrition index(NNI), shoot dry weight and shoot nitrogen content at panicle initiation and heading stage. The boundary lines of SPN showed asymptotic responses to all the above parameters(X) and were well fitted to the exponential function of $f(X)=alphacdot{1-etacdotexp(gamma;cdot;X)}$. Excluding the constant, from the boundary line equation, the values of the equation range from 0 to 1 and represent the indices of parameters expressing the degree of influence on SPN. In addition to those indices, the index of shoot dry weight increase during reproductive stage was calculated by directly dividing the shoot dry weight increase by the maximum value ($800 extrm{g/m}^{-2}$) of dry weight increase as it showed linear relationship with SPN. Four indices selected by forward stepwise regression at the stay level of 0.05 were those for NNI ($I_{NNI}_P$) at panicle initiation, NNI($I_{NNI}_h$) and shoot dry weight($I_{DW}_h$) at heading stage, and dry weight increase($I_{DW}$) between those two stages. The following model was obtained: SPN=48683ㆍ $I_{DWH}$$^{0.482}$ㆍ $I_{NNIp}$$^{0.387}$ㆍ $I_{NNIH}$$^{0.318}$ㆍ $I_{DW}$ $^{0.35}$). This model accounted for about 89% of the variation of spikelet number. In conclusion this model could be used for estimating the spikelet number of japonica rice with some confidence in widely different regions and thus, integrated into a rice growth model as a component model for spikelet number estimation.n.n.

• 한국토양비료학회지
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• 제30권4호
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• pp.309-313
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• 1997

벼 건답직파 재배시 볏짚 시용과 질소 분시에 따른 벼 질소 흡수 양상을 검토하고자 호남평야지인 전북통에서 동진벼를 공시하여 포장 시험한 결과를 요약하면 다음과 같다. 1. 건답기간중 토양질소의 변화 양상을 보면 요소태질소는 파종후 7일이후에는 검출되지 않았으나, $NH_4-N$는 파종후 7일, $NO_3-N$는 파종후 25일에 최대값을 나타냈다. 2. 토양 깊이 70cm에서 채취된 토양 용액중 $NO_3-N$의 농도는 질소분시가 적은 기비중점인 구에서 파종후 생육초기에 감소되는 양이 많았으며, 볏짚을 처리함 으로써 표토로부터 심토로 이동되는 양을 감소시킬수 있었다. 3. 수확기 질소흡수량은 볏짚시용시 질소3회 분시구에서 가장 많았으며, 시비질소에 의한 질소이용률은 20%였으나, 볏짚 시용으로 27%까지 향상 시킬수 있었다. 4. 질소 분시에 따른 수량은 관행 5070 kg/ha, 질소 전량 기비구 4970 kg/ha, 2회 분시구 5110 kg/ha, 3회 분시구 5150 kg/ha로 관행에 비하여 근소한 차이로 증가 되었다.

• 한국토양비료학회지
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• 제44권3호
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• pp.448-451
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• 2011

벼 앞그루작물로 이탈리안 라이그라스를 재배하고 후작으로 벼를 재배할 경우 벼 수량을 고려한 질소 적정 시용량을 구명하기 위하여 2009~2010년까지 2년 동안 보통답(전북통)에서 '신동진' 벼를 대상으로 재배시험을 수행하였다. 벼 수량은 기비질소 75% 시용구와 100% 시용구에서 8,410 및 $8,420kg\;ha^{-1}$으로 동일한 수량을 나타내었으며, 기비질소 50% 시용구는 $8,020kg\;ha^{-1}$로 수량이 적었다. 한편, 기비질소 150% 시용구 그리고 기비질소 100%에 분해용 질소 $30kg\;ha^{-1}$을 더해 준 구에서의 수량은 $8,190kg\;ha^{-1}$으로 동일한 수량을 나타내었다. 2차 회귀식으로 벼의 최고 수량을 추정한 결과 $8,405kg\;ha^{-1}$이었고 이때 질소의 시비량은 $73kg\;ha^{-1}$에 해당하였다. 수확기 벼의 무기성분의 함량과 흡수량을 분석하여 처리별 질소이용률을 산출한 결과 전반적으로 질소시비량이 많을수록 이용률은 낮아졌다.

• Asian-Australasian Journal of Animal Sciences
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• 제17권10호
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• pp.1383-1389
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• 2004

The nutritive value and utilization of whole crop rice silage (WCRS), Hamasari, at yellow mature stage was determined by three studies. In first study, chemical composition, in vivo digestibility and metabolizable energy (ME) content of WCRS was determined by Holstein steers. WCRS contains 6.23% CP, its digestibility is 48.4% and estimated TDN is 56.4%. Its ME content was 1.91 Mcal/kg DM. Gross energy (GE) retention (% of GE intake) in steers is only 22.7% most of which was lost through feces (44.7% of GE intake). It takes 81 minutes to chew a kg of WCRS by steers. In another study, the effect of Hamasari at yellow mature stage at three stages of lactation (early, mid and late lactation) and two levels of concentrate (40 or 60%) on voluntary intake, ME content and ME intake, milk yield and composition using lactating Holstein dairy cows were investigated. Total intake increased with the concentrate level in early and mid lactation, but was similar irrespective of concentrate level in late lactation. WCRS intake was higher with 40% concentrate level than with 60% concentrate. ME intake by cows increased with the concentrate level and WCRS in early lactating cows with 40% concentrate can support only 90% of the ME requirement. Milk production in accordance with ME intake increased with the increase in concentrate level in early and mid lactating cows but was similar in late lactating cows irrespective of concentrate level. Fat and protein percent of milk in mid and late lactating cows were higher with for 60% concentrate than 40%, but reverse was in early lactating cows. Solids-not-fat was higher with for 60% concentrate than 40% concentrate. Finally in situ degradability of botanical fractions such as leaf, stem, head and whole WCRS, Hamasari at yellow mature stage was incubated from 0 to 96 h in Holstein steers to determine DM and N degradability characteristics of botanical fractions and whole WCRS. Both DM and N solubility, rate of degradation and effective degradability of leaf of silage was lower, but slowly degradable fraction was higher compared to stem and head. Solubility of DM and N of stem was higher than other fractions. The 48 h degradability, effective degradability and rate of degradation of leaf were always lower than stem or head. In conclusion, voluntary intake of silage ranged from 5 to 12 kg/d and was higher with low levels of concentrate, but milk yield was higher with high levels of concentrate. Fat corrected milk yield ranged from 19 to 37 kg per day. For consistency of milk, early lactating cows should not be allowed more than 40% whole crop rice silage in the diet, but late lactating cows may be allowed 60% whole crop rice silage.

• 한국식품과학회지
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• 제53권6호
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• pp.739-748
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• 2021

본 연구에서는 가공용 쌀 이용성 향상을 위한 쌀 가공 제품개발과 쌀 생면 제조 기술 확보를 위해 반응표면분석법을 이용하여 글루텐 프리 쌀 우동의 주원료인 쌀가루, 변성전분(아세틸아디핀산이전분), 트레할로스의 함량에 따른 글루텐 프리 쌀 우동의 품질에 미치는 영향을 분석하고 제조 배합비를 Box-Behnken법을 이용하여 최적화하였다. 반응모형에서 쌀가루 함량이 높을수록 수분흡수율, 부피, 황색도, 탄성, 검성, 씹힘성, 응집성이 증가하였으며 변성전분의 함량이 적을수록 황색도, 탄성이 높았다. 수분함량, 명도, 황색도는 linear 모델로 결정되었으며 p-value는 <0.0001, 0.0113, 0.0214로 유의적 차이를 보였다. 글루텐 프리 쌀 우동 주원료의 배합비는 트레할로스의 첨가 없이 쌀가루 60 g, 변성전분 18.81 g 사용하는 것이 바람직한 것으로 나타났다. 반응표면 분석법을 통한 최적 배합비에 따라 글루텐 프리 쌀 우동을 제조한 결과 백색도는 73.09, 수분 흡수율은 59.73%, 부피 32.61 mL, 탁도 0.44, 조리손실율 5.74%, 용출고형분 함량은 1.86%였다. 이 연구 결과는 글루텐 프리 쌀 우동 제조에 기초자료로 제공되어 향후 제품 개발에 도움이 될 것으로 여겨진다.

• Journal of Biosystems Engineering
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• 제41권4호
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• pp.408-417
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• 2016

Purpose: Yield monitoring systems are an essential component of precision agriculture. They indicate the spatial variability of crop yield in fields, and have become an important factor in modern harvesters. The objective of this paper was to review research trends related to yield monitoring sensors for grain crops. Methods: The literature was reviewed for research on the major sensing components of grain yield monitoring systems. These major components included grain flow sensors, moisture content sensors, and cutting width sensors. Sensors were classified by sensing principle and type, and their performance was also reviewed. Results: The main targeted harvesting grain crops were rice, wheat, corn, barley, and grain sorghum. Grain flow sensors were classified into mass flow and volume flow methods. Mass flow sensors were mounted primarily at the clean grain elevator head or under the grain tank, and volume flow sensors were mounted at the head or in the middle of the elevator. Mass flow methods used weighing, force impact, and radiometric approaches, some of which resulted in measurement error levels lower than 5% ($R^2=0.99$). Volume flow methods included paddle wheel type and optical type, and in the best cases produced error levels lower than 3%. Grain moisture content sensing was in many cases achieved using capacitive modules. In some cases, errors were lower than 1%. Cutting width was measured by ultrasonic distance sensors mounted at both sides of the header dividers, and the errors were in some cases lower than 5%. Conclusions: The design and fabrication of an integrated yield monitoring system for a target crop would be affected by the selection of a sensing approach, as well as the layout and mounting of the sensors. For accurate estimation of yield, signal processing and correction measures should be also implemented.