Prediction of Radish Growth as Affected by Nitrogen Fertilization for Spring Production

Lee, Sanggyu; Yeo, Kyung-Hwan; Jang, Yoonah; Lee, Jun-Gu; Nam, Chun-Woo; Lee, Hee-Ju; Choi, Changsun; YoungChul, Um

doi:10.7235/hort.2013.13036

Cited by 6 publications

(8 citation statements)

References 7 publications

(3 reference statements)

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“…따라 서 고랭지배추의 수량 추정을 위해서는 생육 및 품질에 큰 영향을 미치는 기상요소의 분석이 중요하다고 할 수 있다 (Hoogenboom, 2000). Kalisz et al(2012) (Lee et al, 2012). The data of data was investigated in Pyeongchang sub-highland area which Kimchi cabbage was two times cultivated for spring and autumn.…”

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Evaluation of Factors Related to Productivity and Yield Estimation Based on Growth Characteristics and Growing Degree Days in Highland Kimchi Cabbage

Kim¹,

Suh²,

Lee³

et al. 2015

HST

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This study was carried out to evaluate growth characteristics of Kimchi cabbage cultivated in various highland areas, and to create a predicting model for the production of highland Kimchi cabbage based on the growth parameters and climatic elements. Regression model for the estimation of head weight was designed with non-destructive measured growth variables (NDGV) such as leaf length (LL), leaf width (LW), head height (HH), head width (HW), and growing degree days (GDD), which was y = 6897.5 -3.57 × GDD -136 × LW + 116 × PH + 155 × HH -423 × HW + 0.28 × HH × HW × HW, (r 2 = 0.989), and was improved by using compensation terms such as the ratio (LW estimated with GDD/measured LW ), leaf growth rate by soil moisture, and relative growth rate of leaf during drought period. In addition, we proposed Excel spreadsheet model for simulation of yield prediction of highland Kimchi cabbage. This Excel spreadsheet was composed four different sheets; growth data sheet measured at famer's field, daily average temperature data sheet for calculating GDD, soil moisture content data sheet for evaluating the soil water effect on leaf growth, and equation sheet for simulating the estimation of production. This Excel spreadsheet model can be practically used for predicting the production of highland Kimchi cabbage, which was calculated by (acreage of cultivation) × (number of plants) × (head weight estimated with growth variables and GDD) × (compensation terms derived relationship of GDD and growth by soil moisture) × (marketable head rate).Additional key words: Brassica campestris ssp. pekinesis, excel spreadsheet model, regression model, relative growth rate, soil moisture

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Evaluation of Factors Related to Productivity and Yield Estimation Based on Growth Characteristics and Growing Degree Days in Highland Kimchi Cabbage

Kim¹,

Suh²,

Lee³

et al. 2015

HST

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“…The cabbage growth model used in this study is a 3-parameter logistic model. Equations ( 4) to (6) were applied to analyze the growth characteristics, growth rate, and growth acceleration for each of the three soil textures. The model was constructed in Python version 3.8.8 (Python Software Foundation, Amsterdam, Netherlands) using the CSM value of Kimchi cabbage.…”

Section: Research Flow Processmentioning

confidence: 99%

“…Chinese cabbage is mainly used as a side dish in Korea, China, and Japan, so research has focused on improving varieties [1,2], cultivation [3,4], and yield [5,6], focusing on consumption regions. Kimchi cabbage is an improved type of Chinese cabbage.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Growth Characteristics of Kimchi Cabbage Using Drone-Based Cabbage Surface Model Image

Lee

et al. 2022

Agriculture

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Cultivation soil is the basis for cabbage growth, and it is important to assess not only to provide information on how it affects the growth of vegetable crops but also for cultivation management. Until now, field cabbage surveys have measured size and growth variations in the field, and this method requires a lot of time and effort. Drones and sensors provide opportunities to accurately capture and utilize cabbage growth and variation data. This study aims to determine the growth stages based on drone remote estimation of the cabbage height and evaluate the impact of the soil texture on cabbage height. Time series variation according to the growth of Kimchi cabbage exhibits an S-shaped sigmoid curve. The logistic model of the growth curve indicates the height and growth variation of Kimchi cabbage, and the growth rate and growth acceleration formula of Kimchi cabbage can thus be derived. The curvature of the growth parameter can be used to identify variations in Kimchi cabbage height and its stages of growth. The main research results are as follows. (1) According to the growth curve, Kimchi cabbage growth can be divided into four stages: initial slow growth stage (seedling), growth acceleration stage (transplant and cupping), heading through slow growth, and final maturity. The three boundary points of the Kimchi cabbage growth curve are 0.2113 Gmax, 0.5 Gmax, and 0.7887 Gmax, where Gmax is the maximum height of Kimchi cabbage. The growth rate of cabbage reaches its peak at 0.5 Gmax. The growth acceleration of cabbage forms inflection points at 0.2113 Gmax and 0.7887 Gmax, and shows a variation characteristic. (2) The produced logistic growth model expresses the variation in the cabbage surface model value for each date of cabbage observation under each soil texture condition, with a high degree of accuracy. The accuracy evaluation showed that R2 was at least 0.89, and the normalized root-mean-square error (nRMSE) was 0.09 for clay loam, 0.06 for loam, and 0.07 for sandy loam, indicating a very strong regression relationship. It can be concluded that the logistic model is an important model for the phase division of cabbage growth and height variation based on cabbage growth parameters. The results obtained in this study provide a new method for understanding the characteristics and mechanisms of the growth phase transition of cabbage, and this study will be useful in the future to extract various types of information using drones and sensors from field vegetable crops.

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“…As Kimchi cabbage is mainly produced in the field, it is vulnerable to extreme weather conditions; these can reduce production due to growth retardation and related physiological disorders [4,5,16]. For example, high temperatures and extreme heat stress can cause cell damage leading to cell death, poor head formation, and reduced growth, which in turn decreases quality and production rate [6,17,18]. Lee et al [4] cultivated Kimchi cabbage under moderate and extreme predicted climate change scenarios, finding that increased temperature and CO 2 concentration delayed growth, impacted leaf morphology, reduced yield and CO 2 assimilation rates, and affected overall photosynthetic efficiency.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Growth and Photosynthesis of Kimchi Cabbage According to Extreme Weather Conditions

Wi¹,

Lee²,

An³

et al. 2020

Agronomy

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The aim of this study was to develop and validate growth and photosynthetic models of Kimchi cabbages under extreme temperature conditions at different growth stages. Kimchi cabbage plants were subjected to low and high air temperatures 7–10 days after transplanting (DAT) and 40–43 DAT using extreme weather simulators. Except during these periods, the air temperature, relative humidity, solar radiation, and precipitation were set according to previous meteorological data. The experiments were performed over two years: in the first year, data were used to develop the models; the second-year experimental data were used for validation. The growth parameters and relative growth rate of Kimchi cabbage decreased due to low and high air temperature treatments. Photosynthetic CO2 response curves, which were measured using a portable gas exchange system, were used to calculate three biochemical parameters from measured data: photochemical efficiency, carboxylation conductance, and dark respiration. These parameters were used to develop the photosynthetic models (modified Thornley’s models) representing predictions of net photosynthetic rate by CO2 concentration and growth stage. The simulated photosynthetic rate with extreme high temperature treatment (35/31 °C) was 19.7 μmol m−2 s−1 which was evaluated approximately 3% deduction compared with control. Results of this study indicate that the growth and photosynthetic models developed here could be applied to evaluate retarded growth and net photosynthetic rate under extreme temperature conditions.

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Prediction of Radish Growth as Affected by Nitrogen Fertilization for Spring Production

Cited by 6 publications

References 7 publications

Evaluation of Factors Related to Productivity and Yield Estimation Based on Growth Characteristics and Growing Degree Days in Highland Kimchi Cabbage

Evaluation of Factors Related to Productivity and Yield Estimation Based on Growth Characteristics and Growing Degree Days in Highland Kimchi Cabbage

Analysis of Growth Characteristics of Kimchi Cabbage Using Drone-Based Cabbage Surface Model Image

Evaluating Growth and Photosynthesis of Kimchi Cabbage According to Extreme Weather Conditions

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