Development of A Two-Variable Spatial Leaf Photosynthetic Model of Irwin Mango Grown in Greenhouse

Jung, Do Hyun; Shin, Jong Hwa; Cho, Young Yeol; Son, Jung Eek

doi:10.12791/ksbec.2015.24.3.161

Cited by 8 publications

(6 citation statements)

References 14 publications

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“…Accuracy can therefore be reduced when calculating photosynthetic rate in a model that does not reflect stomatal conductivity or leaf temperature. Since the mango used in the experiment was two years old, we used the model assuming that it was the same as a new-born leaf in the previous study [ 21 ]. However, it has been reported that leaves present in the lower part of the canopy show a tendency to decrease Rubisco content and RuBP reproduction capacity in various crops [ 35 , 36 ].…”

Section: Discussionmentioning

confidence: 99%

“…The two-variable model expressed as the product of the two models has the advantage that it is easy to use because of its simple form [ 43 ]. According to Jung et al [ 21 ], a negative exponential model equation is more suitable for expressing the photosynthetic rate in Irwin mangoes. In this study, a leaf photosynthetic rate model for Irwin mangoes suggested by the previous study [ 21 ] was used as Equation (3).…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, while the FvCB model has been used for the analysis of carbon fluxes in an ecosystem, it has rarely been used for the analysis of light intensity and photosynthesis of a greenhouse crop canopy [ 20 ]. Therefore, using a simple leaf photosynthesis model and reflecting the changes along the leaf position is suitable for expressing the whole plant photosynthetic rate of the crop [ 21 , 22 ]. Thus, it is necessary to study the method of using specific values for intercepted light intensity in the canopy for simple leaf photosynthesis models.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of Whole Plant Photosynthetic Rate of Irwin Mango under Artificial and Natural Lights Using a Three-Dimensional Plant Model and Ray-Tracing

Jung

Lee

Kang

et al. 2018

IJMS

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Photosynthesis is an important physiological response for determination of CO2 fertilization in greenhouses and estimation of crop growth. In order to estimate the whole plant photosynthetic rate, it is necessary to investigate how light interception by crops changes with environmental and morphological factors. The objectives of this study were to analyze plant light interception using a three-dimensional (3D) plant model and ray-tracing, determine the spatial distribution of the photosynthetic rate, and estimate the whole plant photosynthetic rate of Irwin mango (Mangifera indica L. cv. Irwin) grown in greenhouses. In the case of mangoes, it is difficult to measure actual light interception at the canopy level due to their vase shape. A two-year-old Irwin mango tree was used to measure the whole plant photosynthetic rate. Light interception and whole plant photosynthetic rate were measured under artificial and natural light conditions using a closed chamber (1 × 1 × 2 m). A 3D plant model was constructed and ray-tracing simulation was conducted for calculating the photosynthetic rate with a two-variable leaf photosynthetic rate model of the plant. Under artificial light, the estimated photosynthetic rate increased from 2.0 to 2.9 μmolCO2·m−2·s−1 with increasing CO2 concentration. On the other hand, under natural light, the photosynthetic rate increased from 0.2 μmolCO2·m−2·s−1 at 06:00 to a maximum of 7.3 μmolCO2·m−2·s−1 at 09:00, then gradually decreased to −1.0 μmolCO2·m−2·s−1 at 18:00. In validation, simulation results showed good agreement with measured results with R2 = 0.79 and RMSE = 0.263. The results suggest that this method could accurately estimate the whole plant photosynthetic rate and be useful for pruning and adequate CO2 fertilization.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of Whole Plant Photosynthetic Rate of Irwin Mango under Artificial and Natural Lights Using a Three-Dimensional Plant Model and Ray-Tracing

Jung

Lee

Kang

et al. 2018

IJMS

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“…고추 이외의 작물에서도 CO 2 농도와 온도가 동시에 상승하는 기후 변화 조건에서 작물의 생산성 변화에 관한 여러 연 구가 진행되고 있다 (Chae et al, 2006;Lee et al, 2006, Han et al, 2012, Lee et al, 2023 (Ro and Park, 2000), N-P-K 처리는 표준시비량에 준하여 시용하였다 (RDA, 2000). 광량은 0, 15, 50, 100, 200, 500, 1,000, 1 (Jung et al, 2015). concentration and elevated temperature; ECET, elevated CO 2 concentration and elevated temperature y Each value in a column followed by the same letter is not significantly different according to the least significant difference (LSD) measure at p < 0.05. concentration and elevated temperature; ECET, elevated CO 2 concentration and elevated temperature y Each value in a column followed by the same letter is not significantly different according to the least significant difference (LSD) measure at p < 0.05.…”

Section: 서 언mentioning

confidence: 99%

Changes in the Growth and Fruit Yield of Hot Peppers Grown under Elevated CO2 and Temperature Conditions

Lee,

Jung,

Kang

et al. 2024

HST

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Climate change affects the growth of plants, and elevated CO 2 concentrations and temperatures can cause leaf senescence and poor flower bud differentiation, which can reduce pepper production. Here, we undertook a quantitative evaluation of how elevated CO 2 concentrations and temperatures compared to ambient conditions affect the growth and yield of peppers. Four CO 2 concentration and temperature treatments were applied to the cultivation of the 'Hongchowang' variety pepper. The first treatment involved an ambient CO 2 concentration and temperature, the second used an elevated CO 2 concentration and an ambient temperature, the third used an ambient CO 2 concentration and an elevated temperature, and the fourth used both an elevated CO 2 concentration and elevated temperature. An elevated CO 2 concentration caused decreases in the height, leaf area, and fruit yield, while an elevated temperature led to increases in the plant height, leaf area, and fruit yield. An elevated CO 2 concentration increased the numbers of leaves and fruit as well as the leaf photosynthetic rate in peppers but also increased the IAA concentration, resulting in a large number of small leaves. On the other hand, an increase in the temperature caused an increase in the C/N ratio, increasing both the yield and number of fruit. In order to secure similar levels of pepper production under future climate change, a combination of measures against CO 2 concentration and temperature increases will be required.

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“…Based on a machine learning algorithm, the model can accurately predict the effect of environmental factors on the photosynthetic rate of the plants [16]. On this basis, it can also respond to the variation of plant photosynthetic rates at the spatial scale by adding different leaf position information [17]. To improve the convergence speed of the models, optimization algorithms for photosynthetic rate modeling characteristics have also been proposed [18].…”

Section: Introductionmentioning

confidence: 99%

A Cucumber Photosynthetic Rate Prediction Model in Whole Growth Period with Time Parameters

et al. 2023

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Photosynthetic rate prediction models can provide guidance for crop photosynthetic process optimization, which has been widely used in the precise regulation of the protected environment. The photosynthetic capacity of crops continuously changes during their whole growth process. Previous studies on photosynthetic models mainly consider the interaction between a crop’s photosynthetic rate and its outer environmental conditions and have been able to predict a crop’s photosynthetic rate in a certain growth period. However, photosynthetic rate prediction models for whole growth periods have not been proposed yet. To solve this question, this paper introduces growing time into a variable set and proposes a method for building a cucumber photosynthetic rate prediction model of whole growth periods. First, the photosynthetic rate of cucumber leaves under different environmental conditions (light, temperature, and CO2 concentration) during the whole growth period was obtained through a multi-gradient nested test. With the environmental data and the cultivation time as the inputs, a photosynthetic rate prediction model was built using the Support Vector Regression algorithm. In order to obtain better modeling results, multiple kernel functions were used for pretraining, and the parameters of the Support Vector Regression algorithm were optimized based on multiple population genetic algorithms. Compared with a Back Propagation neural network and Non-linear Regression method, the Support Vector Regression model optimized had the highest accuracy, with the coefficient of determination of the test set was 0.998, and the average absolute error was 0.280 μmol·m−2·s−1, which provides a theoretical solution for the prediction of the cucumber photosynthetic rate during the whole growth period.

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Development of A Two-Variable Spatial Leaf Photosynthetic Model of Irwin Mango Grown in Greenhouse

Cited by 8 publications

References 14 publications

Estimation of Whole Plant Photosynthetic Rate of Irwin Mango under Artificial and Natural Lights Using a Three-Dimensional Plant Model and Ray-Tracing

Estimation of Whole Plant Photosynthetic Rate of Irwin Mango under Artificial and Natural Lights Using a Three-Dimensional Plant Model and Ray-Tracing

Changes in the Growth and Fruit Yield of Hot Peppers Grown under Elevated CO2 and Temperature Conditions

A Cucumber Photosynthetic Rate Prediction Model in Whole Growth Period with Time Parameters

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