• Title/Summary/Keyword: Crop information

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Genetic Variabilities in Two Modified Opaque-2 Synthetics of Corn(Zea mays L.) (변갱 오페이크-2 옥수수 합성품종의 유전변이)

  • Yun Gyu, Kang;Keun Yong, Park;Bong Ho, Choe
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.30 no.3
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    • pp.326-333
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    • 1985
  • The genetic information was required to improve several plant characteristics of the two modified opaque-2 synthetics, which were synthesized in 1980 at the Chungnam National University. Genetic analysis to obtain the information was carried out by the method of Hallauer and Wright. The information obtained from the analysis indicates that plant characteristics such as plant height, ear height, kernel weight and yield of the two synthetics can be improved by proper breeding procedures, since these characteristics were showing high estimates of genetic and additive variance. The study also shows that some characteristics such as ear length or kernel row number may be not improved effectively and with ease.

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Applications of Ground-Based Remote Sensing for Precision Agriculture

  • Hong Soon-Dal;Schepers James S.
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2005.08a
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    • pp.100-113
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    • 2005
  • Leaf color and plant vigor are key indicators of crop health. These visual plant attributes are frequently used by greenhouse managers, producers, and consultants to make water, nutrient, and disease management decisions. Remote sensing techniques can quickly quantify soil and plant attributes, but it requires humans to translate such data into meaningful information. Over time, scientists have used reflectance data from individual wavebands to develop a series of indices that attempt to quantify things like soil organic matter content, leaf chlorophyll concentration, leaf area index, vegetative cover, amount of living biomass, and grain yield. The recent introduction of active sensors that function independent of natural light has greatly expanded the capabilities of scientists and managers to obtain useful information. Characteristics and limitations of active sensors need to be understood to optimize their use for making improved management decisions. Pot experiments involving sand culture were conducted in 2003 and 2004 in a green house to evaluate corn and red pepper biomass. The rNDVI, gNDVI and aNDVI by ground-based remote sensors were used for evaluation of corn and red pepper biomass. The result obtained from the case study was shown that ground remote sensing as a non-destructive real-time assessment of plant nitrogen status was thought to be a useful tool for in season crop nitrogen management providing both spatial and temporal information.

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Transcriptome Profiling Identifies Genes of Waterlogging-Tolerant and -Sensitive Rapeseeds Differentially Respond to Waterlogging Stress at the Flowering Stage

  • Ji-Eun Lee;Da-Hee An;Kwang-Soo Kim;Young-Lok Cha;Dong-Chil Chang
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.229-229
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    • 2022
  • Rapeseed is a crop that is waterlogging sensitive, and it is necessary to breed waterlogging tolerance varieties. Our study presents the comparative transcriptome changes in two rapeseed lines, i.e., waterlogging-tolerant (tJ8634-B-30,) and - sensitive ('EMS26') lines under control and waterlogging stress treatments at the flowering stage. RNA-sequencing analysis revealed 13,279 differentially expressed genes (DEGs) for 'J8634-B-30' and 8,682 DEGs for 'EMS26' under waterlogging stress condition compared to control. Among DEGs of 'J8634-B-30', 6,818 were up-regulated and 6,461 were down-regulated. On the other hand, among the DEGs of 'EMS26', the number of down-regulated genes (5,240) were higher than that of up-regulated genes (3,442). Gene ontology enrichment analysis showed that DEGs related to glucan metabolic, cell wall, and oxidoreductase activity were significantly changed in 'J8634-B-30'. Kyoto Encyclopedia of Genes and Genomes (KEGG)-based analysis in 'J8634-B-30' identified up-regulated DEGs being involved in MAPK signaling pathways. In addition, the DEGs belonging to mechanisms responding to waterlogging stress, i.e., plant hormones, carbon metabolism, Reactive oxygen species (ROS), Nitric oxide (NO) etc. were compared in rapeseed lines. Several DEGs including ethylene-responsive transcription factor (ERF), constitutive triple response (CTR) (in ethylene signaling pathway), monodehydroascorbate Reductase (MDAR), NADPH oxidase (in ROS pathway), cytochrome c oxidase assembly protein (COX) (in NO pathway) up-regulated in 'J8634-B-30'. These outcomes provided the valuable information for further exploring the genetic mechanism of waterlogging tolerance in rapeseed.

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Variation of Crop Coefficient With Respect to the Reference Crop Evapotranspiration Estimation Methods in Ponded Direct Seeding Paddy Rice (담수직파재배 논벼의 기준작물 잠재증발산량 산정방법별 작물계수의 변화)

  • 정상옥
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.39 no.4
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    • pp.114-121
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    • 1997
  • In order to provide basic information for the estimation of evapotranspiration in the ponded direct seeding paddy field, both field lysimeter experiment and model prediction were performed to estimate daily ET. Various methods were used to predict daily reference crop ET and crop coefficients. Measure4 mean daily ET during the 1995 growing season varied from 5.9 to 6.1 mm depending on the species, while it varied from 5.1 to 5.5 mm in 1996. Model predicted mean daily ET during the 1995 growing season varied from 3.9 to 4.9 mm depending on the prediction model, while it varied from 3.5 to 4.7 mm in 1996. The smaller ET values both measured and predicted in 1996 were caused by the low values of temperature, sunshine hours, and solar radiation. Crop coefficients varied from 1.20 to 1.50 in 1995 depending on the prediction model, while it varied from 1.10 to 1.47 in 1996. Comparison of the seven reference crop ET prediction methods used in this study shows that the Penman-Monteith method and the FAO-Radiation method gave the lowest ET while the corrected Penman method and the Hargreaves method gave the largest ET. Since crop coefficients vary to a large extent based on the prediction methods, reference crop ET prediction method should be carefully selected in irrigation planning.

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Water/nutrient use efficiency and effect of fertigation: a review

  • Woojin Kim;Yejin Lee;Taek-Keun Oh;Jwakyung Sung
    • Korean Journal of Agricultural Science
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    • v.49 no.4
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    • pp.919-926
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    • 2022
  • Fertigation, which has been introduced in agricultural fields since 1990, has been widely practiced in upland fields as well as in plastic film houses as part of the crop production system. In accordance with demands in the agricultural sector, a huge number of scientific studies on fertigation have been conducted worldwide. Moreover, with a combination of advanced technologies such as big-data, machine learning, etc., fertigation is positioned as an indispensable tool to achieve sustainable crop production and to enhance nutrient and water use efficiency. In this review, we focused on providing valuable information in terms of crop production and nutrient/water use efficiency. A variety of fertigation studies have described that enhancement of crop production did not differ relative to conventional method or slightly increased. In contrast, fertigation significantly improved nutrient/water use efficiency, with a reduction in use ranging from 20 to 50%. Water-soluble organic resources such as livestock manure and agricultural byproducts also have been identified as useful resources like chemical fertilizers. Furthermore, the initial irrigation point was generally recommended in a range of -10 - -40 kPa, although the point differed according to the crop and crop growth stage. From this review, we suggest that fertigation, which is closely integrated with advanced technology, could be a leading technology to attain not only food security but also carbon neutrality via improvement of nutrient/water use efficiency.

Rice Blast Populations Isolated from the Border Area of North Korea (북한 접경지역의 벼 도열병균 레이스 분포)

  • Chung, Hyunjung;Roh, Jae-Hwan;Yang, Jung-Wook;Shim, Hyeong-Kwon;Jeong, Da Gyeong;Kim, Joo Yeon;Shin, Jin Young;Kang, In Jeong;Heu, Sunggi
    • Research in Plant Disease
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    • v.25 no.4
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    • pp.164-172
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    • 2019
  • Rice blast disease caused by Magnaporthe oryzae is the most important disease of rice in both South and North Korea. Cultivation of disease-resistant cultivar is the best way to prevent this notorious disease, but M. oryzae races have been continuously changed to adapt a new cultivar. Therefore, it is important to get the information about the race and avirulence genes of the pathogen for developing blast-resistant rice cultivar. Since the entrance of North Korea was prohibited, the information about the races of M. oryzae in North Korea border areas and South Korea was collected to get the information about the diversity of rice blast pathogen in North Korea. The disease occurrence on monogenic lines carrying single resistant gene was investigated in Jeonju, Suwon, Cheorwon, Goseong, and Baengnyeongdo in Korea, and Dandong in China. The monogenic lines in Jeonju and Suwon showed diverse ranges of the response, while those in Baengnyeongdo and Dandong showed relatively high resistant responses to rice blast. All the field isolates of M. oryzae were characterized for rice blast races by the Korean differential varieties and screened for known avirulence genes to determine the spatial distribution of avirulence genes and the population of M. oryzae.

Association of Puroindolines Genotypes and Grain Properties, Milling Performances and Physical Properties of Flour in Korean Wheats

  • Park, Chul-Soo;Kang, Chon-Sik;Park, Jong-Chul;Jung, Youn-Joo;Cheong, Young-Keun;Woo, Sun-Hee
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.54 no.3
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    • pp.249-259
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    • 2009
  • Puroindoline alleles, grain characteristics, milling performances and physical properties of flour of 22 Korean wheat cultivars were evaluated to determine the influence of puroindolines genotypes on grain and flour characteristics and to provide useful information for improving milling and end-use quality in Korean wheat breeding programs. Nine Korean wheat cultivars carried with Pina-D1a/Pinb-D1a, 11 cultivars had Pina-D1a/Pinb-D1b and 2 cultivars were Pina-D1b/Pinb-D1a. Korean wheats carrying with Pina-D1a/Pinb-D1a genotypes showed lower test weight and thousand kernel weight, area and roundness of grain and hardness index in grain characteristics, lower flour yield and higher proportion of break flour in milling performances and lower average particle size of flour, ash and damaged starch content, water retention capacity, yellowness-blueness and higher lightness of flour than wheats with Pina-D1a/Pinb-D1b or Pina-D1b/Pina-D1a genotypes. Pina-D1a/Pinb-D1b genotypes showed lower 1000-kernel weight, grain area, higher average of particle size of flour, higher ash and damaged starch content than Pina-D1b/Pina-D1a genotypes. There was no difference in hardness index of grain, milling performances, flour color between Pina-D1a/Pinb-D1b and Pina-D1b/Pina-D1a genotypes. These results could present the information to improve milling quality and physical properties of flour in Korean wheat breeding programs.

Monitoring on Crop Condition using Remote Sensing and Model (원격탐사와 모델을 이용한 작황 모니터링)

  • Lee, Kyung-do;Park, Chan-won;Na, Sang-il;Jung, Myung-Pyo;Kim, Junhwan
    • Korean Journal of Remote Sensing
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    • v.33 no.5_2
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    • pp.617-620
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    • 2017
  • The periodic monitoring of crop conditions and timely estimation of crop yield are of great importance for supporting agricultural decision-makings, as well as for effectively coping with food security issues. Remote sensing has been regarded as one of effective tools for crop condition monitoring and crop type classification. Since 2010, RDA (Rural Development Administration) has been developing technology for monitoring on crop condition using remote sensing and model. These special papers address recent state-of-the-art of remote sensing and geospatial technologies for providing operational agricultural information, such as, crop yield estimation methods using remote sensing data and process-oriented model, crop classification algorithm, monitoring and prediction of weather and climate based on remote sensing data,system design and architecture of crop monitoring system, history on rice yield forecasting method.

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
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.54 no.1
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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.

Evaluation of Grain Zinc and Iron Contents of Wheat Germplasm

  • Jinhee Park;Kyeong-Hoon Kim;Chang-Hyun Choi;Kyeong-Min Kim;Go Eun Lee;Chuloh Cho;Chon-Sik Kang;Jiyoung Shon;Jong-Min Ko
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.297-297
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    • 2022
  • Wheat is the staple food crop in the word, but wheat products have a low bioavailability of iron and zinc. So in the developing world, where wheat is a staple food, it suffers from micronutrients deficiency. This study was conducted to generate wheat varieties with enhanced grain Zn and Fe contents. Sixty wheat resource were cultivated over 2 years (2019-2021) in the field of NICS, Jeonju, Republic of Korea, to identify agronomic traits. Wheat grains were ground using grinder and analyzed whole wheat flour protein contents and Fe and Zn contents using ICP-OES. The average contents of Zn and Fe grain were 4.6 mg/100g (2.4~8.8 mg/100g) and 4.5 mg/100g (2.4~7.9 mg/100g), respectively. The contents of Fe and Zn in the wheat grain had a positive correlation with the protein content of whole wheat flour, but there was no correlation with heading date (4.22~5.27) and the thousand kernel weight (21.3~57.5 g). Although there was year variation, six resources with high contents of Fe (>5.2 mg/100 g) and Zn (>5.3 mg/100 g) grain in 2 years were selected. These results provide information for selecting breeding materials for biofortified wheat, and further studies on germplasms genetic variations and bioavailability are needed.

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