• Title/Summary/Keyword: crop damage

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Eco-physiological Characteristics of Rice Leaves and Wind Damage by Typhoon (태풍에 의한 벼 엽신손상과 엽신 특성과의 관계)

  • 양의석;강양순;정연태;정근식
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.33 no.2
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    • pp.201-204
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    • 1988
  • To find out the relationship between the eco-physiological characteristics and wind damage of rice leaves by typhoon 'Thelma' occurred at young panicle formation stage of rice plant, the study was carried out. The rate of dead leaves by wind damage in Indica X Japonica varieties were higher than that in Jap. varieties. Ind. X Jap. varieties which had erect and broader leaves had the higher number of silicified cell, moisture loss and stomatal aperture in leaves. And the wind damage were positvely correlated with the characteristics such as the number of silicified cell (r=0.7546$\^$*/), rate of moisture loss (r=0.8343$\^$**/) and stomatal aperture (r=0.8460$\^$**/) of rice leaf blade etc.

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Comparison of Spodoptera frugiperda Control Effects for Corn According to the Control Thresholds and Chemical Spraying Methods (열대거세미나방에 대한 옥수수의 요방제 수준 및 약제 살포방법에 따른 방제 효과 비교)

  • You Kyoung Lee;Hyun Ju Kim;Nak Jung Choi;Bo Yoon Seo;June Yeol Choi
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.25 no.3
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    • pp.142-150
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    • 2023
  • As global warming continues, the time of invasion of Spodoptera frugiperda has been advanced and the inflow rate has been increasing, leading to great increases in damage to crops. In this study, in order to minimize crop damage caused by S. frugiperda, the control period was set for corn fields through control thresholds, and the control effects according to the chemical spraying methods were investigated in forage corn filed. Even under the condition of 4% injury level during the corn silking stage, the damage rate of ear was 70%, showing an aspect of extensive damage. The economic injury level of S. frugiperda second instar larvae was shown to be 0.7 larvae per stalk, and the control threshold level was shown to be 0.6 larvae. The income was calculated by applying the corn wholesale unit price, and according to the result, even under the condition of injury level of 4%, there was a loss of KRW 895,221/10a, and the higher the injury level, the greater the decrease in income. To control S. frugiperda, the insecticidal effects of 10 single formulations registered for S. frugiperda were tested, and according to the results, four types(emamectin benzoate, chlorantraniliprole, indoxacarb, and spinetoram) showed high insecticidal activity not lower than 93.3%, and three types (chloran- traniliprole, spinetoram, and indoxacarb) were considered to be effective in controlling S. frugiperda as they showed high residual effects through insecticidal effect persistence tests. Therefore, conventional control and aerial control were conducted twice at 7-day intervals with indoxacarb SC and chlorantraniliprol WP, which show high activity against S. frugiperda, respectively, prior to the silking of forage corn. As a result, conventional control showed higher control values, 46.3%p in the case of indoxacarb SC and 21.7%p in the case of chlorantraniliprol WP, than aerial control through the primary control. In the secondary control too, higher control values of 26.7%p in the case of indoxacarb SC and 40.4%p in the case of chlorantraniliprol WP were found in conventional control than in aerial control. Therefore, it is considered necessary to prepare measures to improve the control effects in the recent situation where alternative methods for manpower control are widely used.

Evaluation of Biological Activities of Wheat Sprouts with Different Extraction Solvents (새싹 밀의 추출용매에 따른 생리활성 평가)

  • Kim, Hyun Young;Seo, Hye-Young;Seo, Woo Duck;Lee, Mi Ja;Ham, Hyeonmi
    • The Korean Journal of Food And Nutrition
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    • v.32 no.6
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    • pp.636-642
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    • 2019
  • The purpose of this study was to examine biological activities, including total contents of polyphenol, antioxidant activities, inhibitory activities of tyrosinase, and protective effect against oxidative stress in the HepG2 cells of ethanol extracts from wheat sprout. The antioxidant activity of extracts was determined by ABTS and DPPH radical scavenging activities. Ethanol extracts were tested using different ethanol concentrations (0%, 30%, 50%, 80% and 95%, respectively). The highest amount of total polyphenol was extracted by 50% and 80% ethanol which was 26.3 and 26.8 mg gallic acid equivalents/g sample, respectively. High levels of ABTS and DPPH radical scavenging activity were found in 50% ethanol (26.7 and 15.0 mg TEAC/g sample, respectively) and 80% (24.3 and 16.1 mg TEAC/g sample, respectively) ethanol extracts. Also, 50% and 80% ethanol extracts indicated higher inhibitory activities of tyrosinase compared with other extracts. In the cell-based assay, pre-treatment of the HepG2 cells with wheat sprout extracts prevented the cell damage induced by TBHP (tert-butyl hydroperoxide). The results of this study indicate that wheat sprout has significantly higher diverse biological activities and apparently has significant health benefits.

Physicochemical characteristics of rice variety for dry-milled flour

  • Yoon, Mi-Ra;Kwak, Jieun;Lee, Jeom-Sig;Won, Yong-Jae;Kim, Mi-Jung;Choi, Induck;Jeon, Yong-Hee;Kim, Sun Lim
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.294-294
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    • 2017
  • Rice (Oryza sativa L.) is one of the main agricultural crops in Asian countries, including Korea, and is considered as the most important staple food in the world. Rice is also processed into flour, which is consumed through various foods such as cake, noodle, bread, and confectionary. Rice flour quality is highly dependent on variety and milling conditions. Producing rice flour with fine particles is more difficult than wheat flour because of its grain hardness. The Korean rice varieties representing different amylose contents were selected for this study. The relationship between the morphological and starch characteristics of rice kernels and the appropriate varieties for producing good-quality, dry-milled rice flour were examined. The hardness of the rice kernels was determined by measuring the pressure at the grain breakage point. The damaged starch content of the rice flour was determined using a Megazyme starch damage assay kit. The particle-size distribution of the rice flour was measured as the volume-base distribution using a laser-diffraction particle size analyzer. The mean particle-size distribution of the dry-milled flour obtained was between $65.3{\sim}105.1{\mu}m$ among the rice varieties. The opaque, non-glutinous, Seolgaeng rice demonstrated a narrow peak at the fine size, whereas the entire particle-distribution range for other varieties was wide. Seolgaeng exhibited significantly lower damaged starch content of dry-milled flour than the other varieties (p < 0.05). Seolgaeng showed lowest in energy consumption on rice flour production with 200 mesh particle size. Accordingly, it is possible to produce dry-milled rice flour which is similar to wheat flour that would considerably reduce milling costs.

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Evaluation of Rice Nitrogen Utilization Efficiency under High Temperature and High Carbon Dioxide Conditions

  • Hyeonsoo Jang;Wan-Gyu Sang;Yun-Ho Lee;Hui-woo Lee;Pyeong Shin;Dae-Uk Kim;Jin-Hui Ryu;Jong-Tak Youn
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.168-168
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    • 2022
  • According to the 5th Climate Change Report, global average temperature in 2081~2100 will increase 1.8℃ based on RCP 4.5 and 3.7℃ based on RCP 8.5 from the current climate value (IPCC Working Group I AR5). As temperature is expected to increase due to global warming and the intensity and frequency of rainfall are expected to increase, damage to crops is expected, and countermeasures must be taken. This study intends to evaluate rice growth in terms of nitrogen utilization efficiency according to future climate change conditions. In this experiment, Oryza sativa cv. Shindongjin were planted at the SPAR facility of the NICS in Wanju-gun, Jeollabuk-do on June 10, and were planted and grown according to the standard cultivation method. Cultivation conditions are high temperature, high CO2 (current temperature+4.7℃·CO2 800ppm), high temperature (current temperature+4.7℃·CO2 400ppm), current climate (current tempreture·CO2 400 ppm). Nitrogen was varied as 0, 9, 18 kg/10a. The N content and C/N ratio of all rice leaves, stems, and seeds increased at high temperature, and the N content and C/N ratio decreased under high temperature and high CO2 conditions com pared to high temperature. Compared to the current climate, NUE increases by about 8% under high temperature and high CO2 conditions and by about 2% under high temperature conditions. This seems to be because the increase in temperature and CO2 induced the increase in biomass. ANUE related to yield decreased by about 70% compared to the current climate under high temperature conditions, and decreased by about 45% at high temperature and high CO2, showing a tendency to decrease compared to high temperature. This appears to be due to reduced fertility and poor ripening due to high temperature stress. However, as the nitrogen increased, the number of ears and the number of grains increased, slightly offsetting the production reduction factor.

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IAA-Producing Penicillium sp. NICS01 Triggers Plant Growth and Suppresses Fusarium sp.-Induced Oxidative Stress in Sesame (Sesamum indicum L.)

  • Radhakrishnan, Ramalingam;Shim, Kang-Bo;Lee, Byeong-Won;Hwang, Chung-Dong;Pae, Suk-Bok;Park, Chang-Hwan;Kim, Sung-Up;Lee, Choon-Ki;Baek, In-Youl
    • Journal of Microbiology and Biotechnology
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    • v.23 no.6
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    • pp.856-863
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    • 2013
  • Application of rhizospheric fungi is an effective and environmentally friendly method of improving plant growth and controlling many plant diseases. The current study was aimed to identify phytohormone-producing fungi from soil, to understand their roles in sesame plant growth, and to control Fusarium disease. Three predominant fungi (PNF1, PNF2, and PNF3) isolated from the rhizospheric soil of peanut plants were screened for their growth-promoting efficiency on sesame seedlings. Among these isolates, PNF2 significantly increased the shoot length and fresh weight of seedlings compared with controls. Analysis of the fungal culture filtrate showed a higher concentration of indole acetic acid in PNF2 than in the other isolates. PNF2 was identified as Penicillium sp. on the basis of phylogenetic analysis of ITS sequence similarity. The in vitro biocontrol activity of Penicillium sp. against Fusarium sp. was exhibited by a 49% inhibition of mycelial growth in a dual culture bioassay and by hyphal injuries as observed by scanning electron microscopy. In addition, greenhouse experiments revealed that Fusarium inhibited growth in sesame plants by damaging lipid membranes and reducing protein content. Co-cultivation with Penicillium sp. mitigated Fusarium-induced oxidative stress in sesame plants by limiting membrane lipid peroxidation, and by increasing the protein concentration, levels of antioxidants such as total polyphenols, and peroxidase and polyphenoloxidase activities. Thus, our findings suggest that Penicillium sp. is a potent plant growth-promoting fungus that has the ability to ameliorate damage caused by Fusarium infection in sesame cultivation.

Resistance Resources for the Foxglove Aphid in Soybeans (콩에서 흡즙해충 싸리수염진딧물 저항성 자원의 발굴)

  • Koh, Hong-Min;Park, Sumin;Kim, Kyung Hye;Kim, Ji Min;Lee, Taeklim;Heo, Jinho;Lee, Ju Seok;Jung, Jinkyo;Kang, Sungteag
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.63 no.3
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    • pp.257-264
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    • 2018
  • The recent global climate change induced the drought, flooding, and insect pest outbreaks. These caused the severe damage to crop yield in the domesticated field and occurrence change of insect pest species. The sap-sucking insect pest, aphids are common in soybean [Glycine max (L.) Merr.] and cause serious yield losses. Thus, developing resistance cultivars is promising and efficient strategy to prevent the significant yield losses by aphid and screening germplasm is the essential procedure to achieve this goal. We tried to establish a resistance test indicator for foxglove aphid, Aulacorthum solani (Kaltenbach), in soybean and found that plant damage degree or infested plant damage is most suitable one. Also we screened around 1,200 of soybean germplasm including wild and cultivated species for its resistance to foxglove aphid from the various origins, and 67 soybeans, including PI 366121, showed antixenosis resistance, 31 germplasms among 67 antixenosis germplasms were showed antibiosis to foxglove aphid with non-choice test. The identified foxglove aphid resistant soybean resources showed significantly low rate in survival test. Furthermore, resistance type, (i.e., antibiosis or antixenosis) of each candidate were varied. In this research, we established the screening index for foxglove aphid resistance in soybean, and identified the resistance varieties. This result could be useful resources in breeding for new foxglove aphid resistance soybean cultivars, and provide fundamental information to investigate the resistance mechanism in soybean.

Mechanisms of Cold Injury and Cultural Practices for Reducing Damage of Rice (벼 냉해발성 기작과 피해 경감대책)

  • Lee, Moon-Hee;Park, Nam-Kyu;Park, Suk-Hong
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.34 no.s02
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    • pp.34-44
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    • 1989
  • The stability of rice cultivation in Korea is largely depended on climatic conditions, especially, low temperature at the period of early growth stage and after heading. The improvement of cold tolerant varieties and appropriate cultural practices in rice are very effective to minimize the cold damage. This paper is summarized the mechanism and counterplans of cold injury of rice plants. The paddy area having commonly cold injury in Korea is approximately 15, 522ha in 1,709 sites on the national scale. The cold damage at seedling stage in nursery bed appeared to poor germination, leaf discoloration, dead seedlings and seedling rot ect.. At the vegetative stage, the decreased tiller number due to poor rooting and the delayed heading caused by slow growth and panicle differentiation are commonly showed. The cold injury at early reproductive stage appeared to the degeneration of spikelets and rachis - branches, while that at meiosis stage showed to increased sterility due to poor development of pollen and shortened panicle length with delaying heading, therefore the grain yield is largely decreased. The cold damage at heading and ripening stages showed to poor pollination and fertilization, low panicle exsertion, poor grain filling and finally grain quality became low. To minimize the cold injury to rice plants by low temperature, following counterplans would be recommonded ; Improvement of the cold toelrant rice varieties for the regions of midmountains and alpines. Raising healthy seedlings at upland nursery beds and by using of growth regulators such as ABA, Fuchiwang and Tachiace. Soil improvement and organic matter application to reduce cold damage by increasing water and fertilizer holding capacities in the paddy field having commonly cold water and in the place where cold damage is regularly occurred. Appropriate fertilization for raising healthy rice plants to tolerate under low temperature condition. Water management to increase water temperature in the paddy such as depth watering, round channels and polyethylene tubes around the field. Establishment of the optimum cultivation time of rice based on minimum, mean and maximum temperatures at different regions with appropriate rice varieties.

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Damage of Whole Crop Maize in Abnormal Climate Using Machine Learning (이상기상 시 사일리지용 옥수수의 기계학습을 이용한 피해량 산출)

  • Kim, Ji Yung;Choi, Jae Seong;Jo, Hyun Wook;Kim, Moon Ju;Kim, Byong Wan;Sung, Kyung Il
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.42 no.2
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    • pp.127-136
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    • 2022
  • This study was conducted to estimate the damage of Whole Crop Maize (WCM) according to abnormal climate using machine learning and present the damage through mapping. The collected WCM data was 3,232. The climate data was collected from the Korea Meteorological Administration's meteorological data open portal. Deep Crossing is used for the machine learning model. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The damage was calculated by difference between the Dry matter yield (DMY)normal and DMYabnormal. The normal climate was set as the 40-year of climate data according to the year of WCM data (1978~2017). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization(WMO) standard. The DMYnormal was ranged from 13,845~19,347 kg/ha. The damage of WCM was differed according to region and level of abnormal climate and ranged from -305 to 310, -54 to 89, and -610 to 813 kg/ha bnormal temperature, precipitation, and wind speed, respectively. The maximum damage was 310 kg/ha when the abnormal temperature was +2 level (+1.42 ℃), 89 kg/ha when the abnormal precipitation was -2 level (-0.12 mm) and 813 kg/ha when the abnormal wind speed was -2 level (-1.60 m/s). The damage calculated through the WMO method was presented as an mapping using QGIS. When calculating the damage of WCM due to abnormal climate, there was some blank area because there was no data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

Calculation of Damage to Whole Crop Corn Yield by Abnormal Climate Using Machine Learning (기계학습모델을 이용한 이상기상에 따른 사일리지용 옥수수 생산량에 미치는 피해 산정)

  • Ji Yung Kim;Jae Seong Choi;Hyun Wook Jo;Moonju Kim;Byong Wan Kim;Kyung Il Sung
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.43 no.1
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    • pp.11-21
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    • 2023
  • This study was conducted to estimate the damage of Whole Crop Corn (WCC; Zea Mays L.) according to abnormal climate using machine learning as the Representative Concentration Pathway (RCP) 4.5 and present the damage through mapping. The collected WCC data was 3,232. The climate data was collected from the Korea Meteorological Administration's meteorological data open portal. The machine learning model used DeepCrossing. The damage was calculated using climate data from the automated synoptic observing system (ASOS, 95 sites) by machine learning. The calculation of damage was the difference between the dry matter yield (DMY)normal and DMYabnormal. The normal climate was set as the 40-year of climate data according to the year of WCC data (1978-2017). The level of abnormal climate by temperature and precipitation was set as RCP 4.5 standard. The DMYnormal ranged from 13,845-19,347 kg/ha. The damage of WCC which was differed depending on the region and level of abnormal climate where abnormal temperature and precipitation occurred. The damage of abnormal temperature in 2050 and 2100 ranged from -263 to 360 and -1,023 to 92 kg/ha, respectively. The damage of abnormal precipitation in 2050 and 2100 was ranged from -17 to 2 and -12 to 2 kg/ha, respectively. The maximum damage was 360 kg/ha that the abnormal temperature in 2050. As the average monthly temperature increases, the DMY of WCC tends to increase. The damage calculated through the RCP 4.5 standard was presented as a mapping using QGIS. Although this study applied the scenario in which greenhouse gas reduction was carried out, additional research needs to be conducted applying an RCP scenario in which greenhouse gas reduction is not performed.