• Title/Summary/Keyword: blooming date

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Climate Change Impact on the Flowering Season of Japanese Cherry (Prunus serrulata var. spontanea) in Korea during 1941-2100 (기후변화에 따른 벚꽃 개화일의 시공간 변이)

  • Yun Jin-I.
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.8 no.2
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    • pp.68-76
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    • 2006
  • A thermal time-based two-step phenological model was used to project flowering dates of Japanese cherry in South Korea from 1941 to 2100. The model consists of two sequential periods: the rest period described by chilling requirement and the forcing period described by heating requirement. Daily maximum and minimum temperature are used to calculate daily chill units until a pre-determined chilling requirement for rest release is met. After the projected rest release date, daily heat units (growing degree days) are accumulated until a pre-determined heating requirement for flowering is achieved. Model calculations using daily temperature data at 18 synoptic stations during 1955-2004 were compared with the observed blooming dates and resulted in 3.9 days mean absolute error, 5.1 days root mean squared error, and a correlation coefficient of 0.86. Considering that the phonology observation has never been fully standardized in Korea, this result seems reasonable. Gridded data sets of daily maximum and minimum temperature with a 270 m grid spacing were prepared for the climatological years 1941-1970 and 1971-2000 from observations at 56 synoptic stations by using a spatial interpolation scheme for correcting urban heat island effect as well as elevation effect. A 25km-resolution temperature data set covering the Korean Peninsula, prepared by the Meteorological Research Institute of Korea Meteorological Administration under the condition of Inter-governmental Panel on Climate Change-Special Report on Emission Scenarios A2, was converted to 270 m gridded data for the climatological years 2011-2040, 2041-2070 and 2071-2100. The model was run by the gridded daily maximum and minimum temperature data sets, each representing a climatological normal year for 1941-1970, 1971-2000, 2011-2040, 2041-2070, and 2071-2100. According to the model calculation, the spatially averaged flowering date for the 1971-2000 normal is shorter than that for 1941-1970 by 5.2 days. Compared with the current normal (1971-2000), flowering of Japanese cherry is expected to be earlier by 9, 21, and 29 days in the future normal years 2011-2040, 2041-2070, and 2071-2100, respectively. Southern coastal areas might experience springs with incomplete or even no Japanese cherry flowering caused by insufficient chilling for breaking bud dormancy.

Current status of peach genomics and transcriptomics research (복숭아 유전체 및 전사체 최근 연구 동향)

  • Cho, Kang Hee;Kwon, Jung Hyun;Kim, Se Hee;Jun, Ji Hae
    • Journal of Plant Biotechnology
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    • v.42 no.4
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    • pp.312-325
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    • 2015
  • In this review, we summarized the trends of genomics and transcriptomics research on peach, a model species of Rosaceae. Peach genome maps have been developed from various progeny groups with many next-generation sequencing (NGS) based single nucleotide polymorphism markers. Molecular markers of qualitative traits and quantitative trait loci (QTL) such as fruit characteristics, blooming date, and disease resistance have been analyzed. Among many characteristics, markers related to flesh softening and flesh adhesion are useful for marker assisted selection. Through comparative genomics, peach genome has been compared to the genome of Arabidopsis, Populus, Malus, and Fragaria species. Through transcriptomics and proteomics, fruit growth and development, and flavonoid synthesis, postharvest related transcriptomes and disease resistance related proteins have been reported. Recently, development of NGS based markers, construction of core collection of germplasm, and genotyping of various progenies have been preceded. In the near future, accurate QTL analysis and identification of useful genes are expected to establish a foundation for effective molecular breeding.

Frost Damage of Mulberry Tree according to Topographic Characteristics in Buan Province (부안지역에서 지형적 특성에 따른 뽕나무의 늦서리 피해)

  • Jeon, Kyung-Soo;Kim, Ho-Cheol;Bae, Hyun-Ju;Bae, Kang-Soon;Kim, Tae-Choon
    • Journal of Bio-Environment Control
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    • v.20 no.1
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    • pp.45-49
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    • 2011
  • This research was carried out to investigate frost damage of mulberry tree (Morus alba) according to topographic characteristics in Buan province. The first bud-break, leafing, blooming and harvest date of mulberry tree in 2010 were two, four, fourteen and eight days later than those in 2009, respectively. These results were that daily mean temperature during March and April in 2010 were lower than those in 2009 by $2.3^{\circ}C$ and $2.4^{\circ}C$. Frost damage of orchards at flat-bottomed valley, flat near hill and lake, and plain were 50.0%,12.0%, and 4.2%, respectively. Also, frost damage of branch of below 15 mm in diameter was serious than that of branch over 16 mm, but orchard at flat-bottomed valley was high as the range of 46.2~54.0%. These results in 2010 were caused by occurrence of below zero temperatures in leafing stage. Since then, many shoots came out at accessary bud on proximal and the top part of the branches. Therefore, frost damage of mulberry tree in Buan province in 2010 was caused by occurrence of below zero temperatures on April and topographic characteristics of orchard.

Influences of Sowing Time and Nursery Period on Growth and Yield of Perilla frutescens BRITTON var. acuta KUDO (파종기(播種期) 및 육묘기간(育苗期間)이 자소(紫蘇)의 생육(生育) 및 수량(收量)에 미치는 영향(影響))

  • Park, Hi-Jin;Chung, Dong-Hee;Kim, Sang-Gon;Kwon, Byung-Sun
    • Korean Journal of Medicinal Crop Science
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    • v.3 no.1
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    • pp.1-4
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    • 1995
  • To determine the optimum sowing time and nursery period in Perilla frutescens in the southern areas of Korea, perilla frutescens cv. red Perilla local cultivar was grown under three different sowing dates and nursery periods. The blooming period of the area which was sown on the seedbed in Apr.10 and carried out the growing seedling in 30days is Aug. 12 and it is two days earlier than that of the area, Aug.14, sown on the seedbed in Apr. 20 and carried out the growing seedling in 30days of the same month and it is also six days earlier than that of the area, Aug.18, sown on the seedbed in April 30 and conducted the growing seedling in the same date. The stem lengths are 135cm,131cm and 125cm respectively and the number of branches are 26.4, 25.3 and 23.6 respectively. The fresh weight of stem and leaf at the area sown on the seedbed in Apr.10 and conducted the growing seedling in 30days with the width of leaf over 5cm in the middle of Aug. and at the beginning of Sep. is 2,476kg/10a and it shows more increase of 172kg than that of fresh weight of stem and leaf with 2,304kg/10a which was sown on the seedbed in Apr.20 and earned out the growing seedling in 30days, and it also shows more increase of 411kg than that of fresh weight of stem and leaf with 2,065kg/10a at the area sown on the seedbed in April 30 and con­ducted the growing seedling in the same date, The fresh weight of seeds are 609.5kg/10a,509.3kg/10a and 463.2kg/10a respectively and $100.2{\sim}146.3kg$ is more increased. Therefore, the seedling period of the proper seedbed for high yield bumper crop of perilla frutescens for exporting to Japan is April 10 and the number of days for seedling is 30 days.

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Modeling of Vegetation Phenology Using MODIS and ASOS Data (MODIS와 ASOS 자료를 이용한 식물계절 모델링)

  • Kim, Geunah;Youn, Youjeong;Kang, Jonggu;Choi, Soyeon;Park, Ganghyun;Chun, Junghwa;Jang, Keunchang;Won, Myoungsoo;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.38 no.5_1
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    • pp.627-646
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    • 2022
  • Recently, the seriousness of climate change-related problems caused by global warming is growing, and the average temperature is also rising. As a result, it is affecting the environment in which various temperature-sensitive creatures and creatures live, and changes in the ecosystem are also being detected. Seasons are one of the important factors influencing the types, distribution, and growth characteristics of creatures living in the area. Among the most popular and easily recognized plant seasonal phenomena among the indicators of the climate change impact evaluation, the blooming day of flower and the peak day of autumn leaves were modeled. The types of plants used in the modeling were forsythia and cherry trees, which can be seen as representative plants of spring, and maple and ginkgo, which can be seen as representative plants of autumn. Weather data used to perform modeling were temperature, precipitation, and solar radiation observed through the ASOS Observatory of the Korea Meteorological Administration. As satellite data, MODIS NDVI was used for modeling, and it has a correlation coefficient of about -0.2 for the flowering date and 0.3 for the autumn leaves peak date. As the model used, the model was established using multiple regression models, which are linear models, and Random Forest, which are nonlinear models. In addition, the predicted values estimated by each model were expressed as isopleth maps using spatial interpolation techniques to express the trend of plant seasonal changes from 2003 to 2020. It is believed that using NDVI with high spatio-temporal resolution in the future will increase the accuracy of plant phenology modeling.

Influences of Planting Density on Growth and Yield of Perilla frutescens BRITTON var. acuta KUDO (자소(紫蘇)의 재식밀도(栽植密度)가 생육(生育) 및 수량(收量)에 미치는 영향(影響))

  • Park, Hi-Jin;Kim, Sang-Gon;Chung, Dong-Hee;Kwon, Byung-Sun
    • Korean Journal of Medicinal Crop Science
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    • v.3 no.2
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    • pp.135-139
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    • 1995
  • In order to determine the optimum planting density of Perilla frutescens which is suitable for the southern part of Korea, agronomic characters, yield of fresh stem, leaf and seed, and yield components were investigated grown in 1985 and 1986 at Mokpo Branch Station of Crop Experiment Station. The heading date was Aug. $14{\sim}15$ and the blooming period was Aug. $19{\sim}21$ regardless of the difference of plant density, but the longest stem length was 135cm in the plant density of $70{\time}40cm$ and the stem length in the plant density of $80{\time}40cm$ was 134cm. The quantity of fresh weight of stem and leaf and fresh weight of seed was high as 531kg/l0a in the plant density of $80{\time}40cm$. The positive correlation such as $0.7315^*,\;0.9024^{**}\;and\;0.7425^*$ were found between stem length and fresh weight of stem and leaf, stem length and fresh weight of seed, fresh weight of stem and leaf and fresh weight of seed and so high significance was recongnized. In the verification of significance of row spacing, the disperse of the stem length was $55.67^{**}$, that of fresh weight of stem and leaf is $268.50^*$, theat of fresh weight of seed was $16.00^{**}$ and high significance was recognized. In the verification of significance of intrarow spacing, the diperse of stem length was $54.21^{**}$, that of fresh weight of stem and leaf was $2,582.00^{**}$, that of fresh weight of seed was $48.00^{**}$ and then high significance was recognized. Accordingly, the proper plant density of perilla frutescens was 80cm of row $spacing{\time}40cm$ of intrarow spacing.

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