• 제목/요약/키워드: Crop coefficient

검색결과 460건 처리시간 0.033초

무인기 기반 RGB 영상을 이용한 동계작물 바이오매스 평가 모델 개발 (Development of Biomass Evaluation Model of Winter Crop Using RGB Imagery Based on Unmanned Aerial Vehicle)

  • 나상일;박찬원;소규호;안호용;이경도
    • 대한원격탐사학회지
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    • 제34권5호
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    • pp.709-720
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    • 2018
  • 작황 모니터링에서 바이오매스의 정확한 평가를 위해서는 정확하고 신속한 작물 생육 상황 등 현장자료의 확보가 필수적이다. 또한, 바이오매스의 평가는 작황 모니터링 및 수확량 예측에 활용된다. 무인기 영상은 작물의 성장에 따라 빠르게 수집할 수 있기 때문에 정밀농업에서 포장내 공간변이 파악 및 분석에 사용되고 있다. 본 연구는 원격탐사 기술을 이용한 동계작물 바이오매스 평가 방법 개발을 위하여 식생지수($E{\times}G$)에 의한 식생 피복률(VF)과 작물 표고 모형(CSM) 기반의 초고(PH)를 이용하여 보리와 밀을 대상으로 바이오매스 평가 모델을 개발하는 것을 목적으로 하였다. 식생 피복률, 초고 및 상호작용 항을 독립변수로 하여 다중 선형 회귀 모델을 구축한 결과, 5가지 품종의 결정계수는 0.84~0.99로 나타났으며, 보리와 밀의 결정계수 및 평균 제곱근 오차는 각각 0.91, 0.90 및 102.09, $110.87g/m^2$으로 나타났다. 따라서 무인기 영상을 활용한 동계작물의 바이오매스 평가 및 작황 모니터링이 가능한 것으로 판단된다.

β-Glucan 추출에 미치는 온도, 용매 농도 및 pH의 영향 (Effect of Temperature, Solvent Concentration, and pH on the β-Glucan Extraction)

  • 이상훈;장귀영;김기종;이미자;김태집;이준수;정헌상
    • 한국식품영양학회지
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    • 제25권4호
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    • pp.871-877
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    • 2012
  • 추출조건에 따른 귀리겨 ${\beta}$-glucan의 추출조건을 확립하기 위하여 추출온도($40{\sim}60^{\circ}C$), 추출용매의 에탄올 농도(0~20%) 및 pH(5~9)를 변수로 중심합성계획법으로 설계하여 ${\beta}$-glucan 추출특성을 조사하였다. 추출시간의 증가에 따라 ${\beta}$-glucan의 추출속도는 추출초기에 급격히 증가하였으나, 이후에는 완만하였다. 총괄물질전달계수는 $3.363{\sim}8.552{\times}10^{-6}cm/min$ 범위로 낮은 추출온도에서는 추출용매의 농도가 낮을수록, 높은 추출온도에서는 추출용매의 농도가 높을수록 증가하였지만 pH에 의한 영향은 적은 것으로 나타났다. 추출용매의 pH는 중성일 때보다 산성이나 알칼리성일 때 ${\beta}$-glucan의 추출량이 증가하였다. 추출조건에 따라서 ${\beta}$-glucan 수용액의 점도는 유의적인 차이를 보였으며, 총괄물질전달계수가 높을수록 crude ${\beta}$-glucan 수용액의 점도가 높게 나타났으며, 점도, 추출율 및 총괄물질전달계수의 상관관계를 분석한 결과, 각각의 요인들이 높은 양의 상관관계(p<0.01)를 나타내었다.

Interpretation of Agronomic Traits Variation of Sesame Cultivar Using Principal Component Analysis

  • Shim, Kang-Bo;Hwang, Chung-Dong;Pae, Suk-Bok;Park, Jang-Whan;Byun, Jae-Cheon;Park, Keum-Yong
    • 한국작물학회지
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    • 제54권1호
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    • pp.24-28
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    • 2009
  • This study was conducted to evaluate the growth characters and yield components of 18 collected sesame cultivars to get basic information on the variation for the sesame breeding using principal component analysis. All characters except days to flowering, days to maturity and 1,000 seed weight showed significantly different. Seed weight per 10 are showed higher coefficient of variance. Capsule bearing stem length and liter weight showed positive correlation with seed yield per 10 are. The principal components analysis grouped the estimated sesame cultivars into four main components which accounted for 83.7% of the total variation at the eigenvalue and its contribution to total variation obtained from principal component analysis. The first principal component ($Z_1$) was applicable to increase plant height, capsule bearing stem length and 1,000-seed weight. The second principal component ($Z_2$) negatively correlated with days to flowering and maturity by which it was applicable to shorten flowering and maturity date of sesame. At the scatter diagram, Yangbaek, Ansan, M1, M2, M4, M7 and M9 were classified as same group, but M10, Yanghuk, Kanghuk, M5, M6, M12 and M13 were classified as different group. This results would be helpful for sesame breeder to understand genetic relationship of some agronomic characters and select promising cross lines for the development of new sesame variety.

시설재배 고추의 생육시기별 물요구량 산정 (Water Requirement of Red Pepper Cultivated in House)

  • 엄기철;정필균;최성호;김태완;유성녕;박소현;허승오;하상건
    • 한국토양비료학회지
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    • 제43권6호
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    • pp.848-851
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    • 2010
  • 우리나라 7개 지역을 대상으로 하여 고추의 노지재배 조건과 시설재배 조건에서의 상대적 비율을 산정하고, 시설재배 조건에서 대기증발요구량과 고추의 생육시기별 작물계수를 추정함으로써 시설재배에서 고추의 생육시기별 물요구량을 산정한 결과 시설 재배 고추 생육기간인 12월 중순~6월 상순의 최근 30년간 일평균 PET는 2.47 mm $day^{-1}$이었으며, 시설재배 노지 고추의 생육기간 전체 (12월 중~6월 상순) 평균 일 물요구량은 2.4 mm $day^{-1}$이었다. 또한 전 생육기 누적 물요구량은 445.2 mm으로 나타났으며, 시설재배 고추의 생육단계를 4단계로 나누어서 보면, 생육 중기 (S-3)단계에서 물요구량이 가장 많았다.

Phenological Changes of Wheat Cultivars with Plant Type and Plant Spacing

  • Lee Choon-Woo;Baek Seong-Bum;She Sea-Jung
    • 한국작물학회지
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    • 제50권5호
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    • pp.332-335
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    • 2005
  • The three Korean wheat cultivars with different plant types; the erect, the middle and the creeping growth habit, were studied for their utilization to solar radiation, temperature changes on the furrow and to provide optimum planting space for producing the high yield in 2003. The average solar radiation rate was lowest for creeping type ($39.2\%$) and highest for erect type ($75.8\%$) The correlation coefficient between the coverage rate and the solar transmission rate was r = 0.8624 which was significant at $5\%$ level. The relative growth of the plant, tiller rate and leaf size was increased in the erect and the middle type at lower plant density, while no change on plant growth at creeping type regardless of plant density. The increase of leaf size in the lower plant density was due to longer flag and the first leaf than those of other plant types. The temperature on the furrow of growing plants was changed by the canopy. The changes in temperature pattern on the furrow according to plant types during winter season was different compared to the non plant ground. The temperature of the nonplant ground was the lowest due to solar reduction increasing the amount of cool air flowing in the furrow.

Machine Learning Approaches to Corn Yield Estimation Using Satellite Images and Climate Data: A Case of Iowa State

  • Kim, Nari;Lee, Yang-Won
    • 한국측량학회지
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    • 제34권4호
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    • pp.383-390
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    • 2016
  • Remote sensing data has been widely used in the estimation of crop yields by employing statistical methods such as regression model. Machine learning, which is an efficient empirical method for classification and prediction, is another approach to crop yield estimation. This paper described the corn yield estimation in Iowa State using four machine learning approaches such as SVM (Support Vector Machine), RF (Random Forest), ERT (Extremely Randomized Trees) and DL (Deep Learning). Also, comparisons of the validation statistics among them were presented. To examine the seasonal sensitivities of the corn yields, three period groups were set up: (1) MJJAS (May to September), (2) JA (July and August) and (3) OC (optimal combination of month). In overall, the DL method showed the highest accuracies in terms of the correlation coefficient for the three period groups. The accuracies were relatively favorable in the OC group, which indicates the optimal combination of month can be significant in statistical modeling of crop yields. The differences between our predictions and USDA (United States Department of Agriculture) statistics were about 6-8 %, which shows the machine learning approaches can be a viable option for crop yield modeling. In particular, the DL showed more stable results by overcoming the overfitting problem of generic machine learning methods.

Genotype $\times$ Environment Interaction for Yield in Sesame (Sesamum indicum L.)

  • Shim, Kang-Bo;Kang, Churl-Whan;Hwang, Chung-Dong;Pae, Suk-Bok;Choi, Kyung-Jin;Byun, Jae-Cheon;Park, Keum-Yong
    • 한국작물학회지
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    • 제53권3호
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    • pp.297-302
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    • 2008
  • Application of genotype by environment ($G\;{\times}\;E$) interaction would be used for identifying optimum test condition of the varietal adaptation in the establishment of breeding purpose. Yield and yield components were used to perform additive main effect and multiplicative interaction (AMMI) analysis. Significant difference for $G\;{\times}\;E$ interaction were observed for all variable examined. For yield, 0.18 of total sum of squares corresponded to $G\;{\times}\;E$ interaction. Correlation analysis was carried out between genotypic scores of the first interaction principal component axis (IPCA 1) for agronomic characters. Significant correlations were observed between IPCA 1 for yield and capsule bearing stem length (CBSL), number of capsule per plant (NOC). The biplot of grain yield means for IPCA1 which accounted for 34% of the variation in total treatment sums of squares showed different reaction according to $G\;{\times}\;E$ interaction, genotypes and environments. Taegu showed relatively lower positive IPCA1 scores, and it also showed smaller coefficient variation of yield mean where it is recommendable as a optimal site for the sesame cultivar adaptation and evaluation trial. In case of variables, Yangbaek and M1 showed relatively lower IPCA1 scores, but the score direction showed opposite each other on the graph. Ansan, Miryang1, Miryang4, and Miryang6 seemed to be similar group in view of yield response against IPCA1 scores. These results will be helpful to select experimental site for sesame in Korea to minimize $G\;{\times}\;E$ interaction for the selection of promising genotype with higher stability.

중량식 라이시미터에서 물관리에 따른 배추, 옥수수의 적정 및 최소 물 필요량 산정 (Estimation of Optimal and Minimal Water Requirement for Chinese Cabbage and Maize on Water Management using Weighable Lysimeters)

  • 옥정훈;한경화;허승오;황선아;김동진
    • 한국농림기상학회지
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    • 제22권3호
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    • pp.205-214
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    • 2020
  • 본 연구에서는 중량식 라이시미터를 이용하여 토양 및 물관리 방법에 따라 배추와 옥수수 재배기간 동안 물수지를 평가하였으며, 작물 생산성과 물 부족 상황을 고려하여 작물 수분스트레스 계수와 최소 물 필요량을 산정하였다. 2018 년 배추 재배는 정식 2 주 후 빈번한 강우로 인해 관개가 실시되지 않아 무관개구와 적습관개구의 관개량 차이가 없었으며, 생산량 차이 또한 나타나지 않았다. 2018 년 배추 재배를 제외하고 배추와 옥수수 재배에서 적습관개구가 무관개구보다 생산량이 높게 나타났으며 대체적으로 증발산량 또한 높게 나타났다. 생산량과 증발산량은 밀접한 관련이 있으며 바이오매스 증가에 따라 증산작용이 활발해짐을 알 수 있었다. 작물 수분스트레스 계수는 배추 중기 0.8, 후기 0.8, 옥수수 중기 0.8, 후기 0.5 로 산정되었다. 배추와 옥수수의 최소 물 필요량(2017 년 배추 196.2 mm, 2018 년 옥수수 321.0 mm)은 적정 물 필요량(배추 239.4 mm, 2018 년 옥수수 466.9 mm) 대비 각각 82.0%, 68.8% 수준으로 나타났다. 이러한 산정 결과는 물부족 시기에 최소 관수량을 확보하여 작물 재배를 위한 물관리의 기초자료로 활용할 수 있을 것으로 생각된다.

Impact of low temperature during ripening stage, amylose content and activities of starch biosynthesis in rice endosperm

  • Baek, Jung-Sun;Hwang, Woon-Ha;Jeong, Han-Yong;An, Sung-Hyun;Jeong, Jae-Heok;Lee, Hyeon-Seok;Yoon, Jong-Tak;Choi, Kyung-Jin;Lee, Gun-Hwi
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.229-229
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    • 2017
  • This research study was conducted to analyze the characteristics of different rice cultivars in abnormal temperature conditions (low temperature) for ripening period abnormalities, and to investigate the physiological causes behind the abnormalities. Four Korean high quality japonica-type rice cultivars, Jinbu (JB), Junamjosaeng (JJ), Geumyoung (GY), Hwawang (HW) were used in the experiment. The following day after flowering, they were then moved into two phytotrons under natural daylight with 65% RH but controlled at different temperatures - one at $19/29^{\circ}C$ (night/day) and the other at $13/23^{\circ}C$ as the low - temperature study on ripening. For the cultivars at $13/23^{\circ}C$ (low temperature study), JB and JJ had a ripening rate of 93% which is similar to the ripening rates of cultivars at $19/29^{\circ}C$ at 45 days after heading (DAH). In contrast, GY and HW recorded lower ripening rates of 86% and 57% respectively. However, when the cultivars at $13/23^{\circ}C$ were harvested at 61 DAH (when the accumulated temperature reached $1100^{\circ}C$), the difference in ripening rates compared to the 4 cultivars of $19/29^{\circ}C$ harvested at 45 DAH was not obvious (JB 94%, JJ 97%, GY 97%, HW 88%). Starch content showed little difference among the 4 cultivars at different temperature conditions while amylose content was higher for cultivars at $13/23^{\circ}C$ compared to those at $19/29^{\circ}C$. In addition, the enzyme activities of starch biosynthesis were about 5~10 days slower in cultivars at $13/23^{\circ}C$ compared to cultivars at $19/29^{\circ}C$. The grain-filling rate showed highly significant correlations with the enzyme activities of Sucrose synthase ($R^2=0.70^{***}$), ADP glucose pyrophosphorylase ($R^2=0.63^{***}$), UDP glucose pyrophosphorylase ($R^2=0.36^{***}$), Starch synthase ($R^2=0.51^{***}$), and Starch branching enzyme ($R^2=0.59^{***}$). Among the enzymes, Sucrose synthase activity had the highest correlation coefficient with grain-filling rate. In conclusion, the activity of enzymes such as Sucrose synthase, UDP glucose pyrophosphorylase, ADP glucose pyrophosphorylase, Starch synthase, Starch branching enzyme in starch biosynthesis is proven to be highly related to the grain filling process. Notably, the decrease in the activity of Sucrose synthase and Starch branching enzyme and the late increase in ADP glucose pyrophosphorylase activity at low temperature in the ripening stage are considered to be disadvantageous as they delay ripening and increased amylose content.

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Genetic Diversity of Korean Rice Breeding Parents as Measured by DNA Fingerprinting with Simple Sequence Repeat (SSR) Markers

  • Song, Moon-Tae;Lee, Jeom-Ho;Lee, Sang-Bok;Cho, Youn-Sang;Ku, Ja-hwan;Seo, Kyoung-In;Choi, Seong-ho;Hwang, Heung-Goo
    • Plant Resources
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    • 제6권1호
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    • pp.16-26
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    • 2003
  • Molecular markers are useful tools for evaluating genetic diversity and determining cultivar identity. Present study was conducted to evaluate the genetic diversity within a diverse collection of rice accessions used for Korean breeding programs. Two hundred eighty-seven rice cultivars, composed of temperate japonica, tropical japonica, indica, and Tongil-type of Korean crossing parents were evaluated by means of 15 simple sequence repeat (SSR) markers. A total of 99 alleles were detected, and the number of alleles per marker ranged from 4 to 11, with an average of 6.6 per locus. Polymorphism information content (PIC) for each of the SSR markers ranged from 0.2924 to 0.8102 with an average of 0.5785. These results, with the result that use of only 15 SSR markers made all rice cultivars examined could be uniquely distinguished, imply the efficiency of SSR markers for analysis of genetic diversity in rice. Cluster analysis was performed on similar coefficient matrics calculated from SSR markers to generate a dendogram in which two major groups corresponding to japonica (Group I) and indica and Tongil type rice (group II) with additional subclasses within both major groups. The narrowness of the Korean breeding germplasm was revealed by the fact that most of the Korean-bred and Japan-bred temperate japonica cultivars were concentrated into only 2 of the sub-group I-1 (143 cultivars) and I-2 (58 cultivars) among six sub-groups in major group of japonica. This is because of the japonica accessions used in this study was a very closely related ones because of frequent sharing of the crossing parents with similar genetic background with synergy effect of the inherited genetic difference between indica and japonica. A rice breeding strategy with the use of molecular markers was discussed for overcoming of genetic vulnerability owing to this genetic narrowness.

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