HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes

Martínez‐Ruiz, Antonio; López‐Cruz, Irineo L.; Ruíz‐García, Agustín; Pineda-Pineda, Joel; Hernández, Jorge Víctor Prado

doi:10.4067/s0718-58392019000100089

Cited by 25 publications

(14 citation statements)

References 30 publications

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“…In these conditions, environmental control and growth techniques are commonly used to optimize biomass production of crops. Therefore, it is important to measure the crop weight, which is an indicator of biomass production itself and is used as a key parameter for crop growth models [7][8][9][10]. Manual measurements are the most common method to determine crop weight.…”

Section: Introductionmentioning

confidence: 99%

Nondestructive and Continuous Fresh Weight Measurements of Bell Peppers Grown in Soilless Culture Systems

Lee

Son

2019

Agronomy

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Fresh weight is a direct index of crop growth. It is difficult to continuously measure the fresh weight of bell peppers grown in soilless cultures, however, due to the difficulty in identifying the moisture condition of crops and growing media. The objective of this study was to develop a continuous and nondestructive measuring system for the fresh weight of bell peppers grown in soilless cultures considering the moisture content of growing media. The system simultaneously measures the trellis string’s supported weight and gravitational weight using tensile load cells. The moisture weight of growing media was calibrated during the growth period using changes in moisture content before and after the first irrigation of the day. The most stable time period for the measurement, from 03:00 to 06:00, was determined by analyzing the diurnal change in relative water content. To verify the accuracy of the system, the fruits, stems, leaves, and roots’ fresh weights were measured manually. The fresh weights measured by the developed system were in good agreement with those manually measured. The results confirm that our system can reliably and accurately measure fresh weights of bell peppers grown in soilless cultures. This method can be applied to continuous growth data collection for other crops grown in soilless cultures.

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Section: Introductionmentioning

confidence: 99%

Nondestructive and Continuous Fresh Weight Measurements of Bell Peppers Grown in Soilless Culture Systems

Lee

Son

2019

Agronomy

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“…Studies have concluded that grafting can increase chlorophyll content and leaf area of plants, thereby increasing plant photosynthesis (Khah, 2011;Haberal et al, 2016). The developed roots have a larger rootshoot ratio and a stronger ability to absorb nutrients, thereby increasing the photosynthesis rate and chlorophyll content (Martínez-Ruiz et al, 2019). In this experiment, several graft combinations increased the chlorophyll content and the absorption of mineral elements of tomato.…”

Section: Discussionmentioning

confidence: 64%

Rootstock screening for greenhouse tomato production under a coconut coir cultivation system

Sun

Zhao

Jiang

et al. 2021

Chil. j. agric. res.

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Grafting is an important means to overcome the obstacles of continuous cropping of solanaceous vegetables. The objective of this subject was to evaluate the performance of different rootstocks in grafted tomato (Solanum lycopersicum L.) under coconut coir cultivation. This research was carried out on a scion 'Ruifen 882' grafted onto four rootstocks ('Guangzhen 1', 'Zhenai 1', 'Ganzhen 1', and 'Guozhen 1') in comparison with non-grafted and self-grafted 'Ruifen 882' plants. The experiment was conducted in a greenhouse environment and adopted the casing grafting method with three replicates; 20 plants per replicate were employed in a randomized block design. The following variables were analyzed: graft survival rate, growth parameters (plant height, stem diameter, fresh and dry weight of above-ground part and under-ground part, root-shoot ratio and strong seedling index), physiological characteristics (chlorophyll and mineral element contents), fruit yield, and fruit quality (hardness, soluble solid, soluble sugar, titratable acid, vitamin C and lycopene). The results of growth monitoring indicated that grafting could improve the growth and development of tomato plants at the seedling stage and 'Ruifen 882'/'Guozhen 1' (R/GUO) had high grafting survival rate of nearly 98%, which is close to the self-grafted plants. Physiological analysis showed that R/GUO and 'Ruifen 882'/'Zhenai 1' (R/ ZA) significantly increased the chlorophyll content and absorption of K, Ca, Mg, Fe, Na, Mn and Cu. On fruit yield, grafts 'Ruifen 882'/'Ganzhen 1' (R/GAN) and R/GUO had better performance. Comprehensive analysis showed that the best results for tomato scion growth, development, fruit quality and yield were observed with the graft combination R/GUO.

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“…The dynamic HORTSYST model proposed by Martinez-Ruiz et al [21] assumes no water and nutrient constraints (potential growth or potential biomass production) on the crop, and it simulates photo-thermal time (PTI, MJ d −1 ), dry matter production (DMP, g m −2 ), and nitrogen uptake (Nup, g m −2 ) as the state variables, while the leaf area index (LAI, m 2 m −2 ) and crop transpiration (ET c , kg m −2 ) are considered as output variables. The model structure is summarized in Table 1.…”

Section: Model Descriptionmentioning

confidence: 99%

“…HORTSYST is a new model that describes nonlinear dynamic systems, and it simulates output variables, such as photo-thermal index (PTI), dry matter production (DMP), leaf area index (LAI), nitrogen uptake (Nup), and crop transpiration (ET c ) [21]. The HORTSYST model is a crop growth model that considers input variables that can usually be measured without any problem inside a greenhouse.…”

Section: Introductionmentioning

confidence: 99%

“…With the dilution curve of the nitrogen content and the daily dry biomass produced [24], the daily nitrogen uptake is obtained as reported by Gallardo et al [25]. This crop growth model also simulates the leaf area index [21] from a photo-thermal index that represents the time (it considers the coupled effect of solar radiation and the air temperature inside a greenhouse).…”

Section: Introductionmentioning

confidence: 99%

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Global Sensitivity Analysis and Calibration by Differential Evolution Algorithm of HORTSYST Crop Model for Fertigation Management

Martínez‐Ruiz

Ruíz‐García

Hernández

et al. 2021

Water

Self Cite

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Sensitivity analysis is the first step in elucidating how the uncertainties in model parameters affect the uncertainty in model outputs. Calibration of dynamic models is another issue of considerable interest, which is usually carried out by optimizing an objective function. The first aim of this research was to perform a global sensitivity analysis (GSA) with Sobol’s method for the 16 parameters of the new HORTSYST nonlinear model that simulates photo–thermal time (PTI), daily dry matter production DMP, nitrogen uptake (Nup), leaf area index (LAI), and crop transpiration (ETc). The second objective was to carry out the calibration of the HORTSYST model by applying a differential evolution (DE) algorithm as the global optimization method. Two tomato (Solanum lycopersicum L.) crops were established during the autumn–winter and spring–summer seasons under greenhouse and soilless culture conditions. Plants were distributed with a density of 3.5 plants m−2. Air temperature and relative humidity were measured with an S-THB-M008 model sensor. Global solar radiation was measured with an S-LIB-M003 sensor connected to a U-30-NRC datalogger. In the sensitivity analysis run in the two growth stages, it was observed that a greater number of parameters were more important at the beginning of fructification than at the end of crop growth for 10% and 20% of the variation of the parameters. The sensitivity analysis came up with nine parameters (RUE, a, b, c1 , c2, A, Bd, Bn, and PTIini) as the most important of the HORTSYST model, which were included in the calibration process with the DE algorithm. The best fit, according to RMSE, was for LAI, followed by Nup, DMP, and ETc for both crop seasons; the RMSE was close to zero, indicating a good prediction of the model’s performance.

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HortSyst: A dynamic model to predict growth, nitrogen uptake, and transpiration of greenhouse tomatoes

Cited by 25 publications

References 30 publications

Nondestructive and Continuous Fresh Weight Measurements of Bell Peppers Grown in Soilless Culture Systems

Nondestructive and Continuous Fresh Weight Measurements of Bell Peppers Grown in Soilless Culture Systems

Rootstock screening for greenhouse tomato production under a coconut coir cultivation system

Global Sensitivity Analysis and Calibration by Differential Evolution Algorithm of HORTSYST Crop Model for Fertigation Management

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