Simulation of transpiration, drainage, N uptake, nitrate leaching, and N uptake concentration in tomato grown in open substrate

Gallardo, M.; Thompson, R.B.; Rodriguez, Jose S.; Rodríguez, Francisco; Fernández, Manuel Ramírez; Sánchez, José González; Magán, J.J.

doi:10.1016/j.agwat.2009.07.013

Cited by 58 publications

(35 citation statements)

References 12 publications

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“…Many mechanistic models with varying degrees of complexity have been used to simulate the fate of nitrogen and the growth of various vegetables (Delgado et al 2000;Gallardo et al 2009). These models have good performance in predicting the fate of nitrogen and plant growth compared with data collected in the field.…”

Section: Discussionmentioning

confidence: 99%

The effects of different water and nitrogen levels on yield, water and nitrogen utilization efficiencies of spinach (Spinacia oleraceaL.)

et al. 2015

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L. 2015. The effects of different water and nitrogen levels on yield, water and nitrogen utilization efficiencies of spinach (Spinacia oleracea L.). Can. J. Plant Sci. 95: 671Á679. Water and nitrogen (N) are important factors that affect crop yield. The objective of this study was to explore the interactive effect of water and nitrogen on biomass production, yield and growth responses, water and nitrogen use efficiency of winter-grown spinach. A field experiment was grown with treatments of varying water (W) and nitrogen (N) levels near Shanghai, China. Leaf area, shoot biomass and height of spinach increased with the application of N in the well-watered treatment. The highest chlorophyll content was found in spinach treated with N 2 (170 kg ha(1 nitrogen). A response surface analysis was done on plant height, leaf number, leaf weight, and plant yield of each spinach plant at different water and nitrogen levels. The equation for each of the response surfaces was taken and solved for the mathematical optimum of the curves. Abundant water supply resulted in the highest spinach yield. Yield of spinach increased with N application rates but decreased when the N was excessive. Compared with the low water treatment (W 3 ), a higher N leaching ratio was observed in the high water treatment (W 1 ), regardless of N treatment. With the increase of N application, N use efficiency of spinach significantly decreased, while water use efficiency of spinach increased. In conclusion, water levels between 36.15 cm and 42 cm, and nitrogen applications between 86 and 152.74 kg ha(1 could be recommended as the optimal treatment for spinach growth.

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Section: Discussionmentioning

confidence: 99%

The effects of different water and nitrogen levels on yield, water and nitrogen utilization efficiencies of spinach (Spinacia oleraceaL.)

et al. 2015

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“…This means that model parameters may have to be estimated for specific management conditions as well as specific varieties, if one wants to use this model to predict fruit growth in a different location or for a different variety. Recently, other authors have obtained good performances adapting TOMGRO model to particular environmental conditions and specific agronomic practices (Cooman et al 2005;Dimokas et al 2009), as well as to simulate nitrogen uptake of tomato grown in greenhouses in southeast Spain (Gallardo et al 2009). …”

Section: Introductionmentioning

confidence: 98%

Evaluation and adaptation of TOMGRO model to Italian tomato protected crops

Bacci

Battista

Rapi

2012

New Zealand Journal of Crop and Horticultural Science

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A simplified version of TOMGRO, a well-known model for tomato growth simulation, was delivered by its authors in 1999, with the aim to adapt the program to operational exigencies. This model version was chosen to integrate the functions of a decision support tool, oriented to support Italian tomato growers in soilless crop fertigation management. During the preliminary evaluation phase, its application on data collected in three greenhouse experiments conducted on tomato cv. Jama in Pisa (central Italy) in 2004 and 2005, showed an insufficient accuracy in the Leaf Area Index (LAI) estimation of tomato crops. Consequently, node number and LAI computational algorithms were modified. This paper discusses model modifications, analysing their effects on tomato growth simulation. In comparison with the observed data, the modified model showed a good enhancement of estimation accuracy of node and LAI, with significantly positive effects also on plant and fruit biomass estimation.

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“…Protected horticulture contributes substantially to local agricultural development (i.e., in Ragusa, Italy) and national economies (i.e., in the Netherlands) (EFSA, 2010). Traditional horticulture is generally concentrated in small areas and may contribute to environmental degradation because of waste discharges and a high consumption of water, fertilisers and agrochemicals (Gallardo et al, 2009). The pollution associated with intensive agriculture forces horticulturalists to adopt more environmentally friendly cultivation methods, such as closed soilless culture, hydroponic systems and biological control of pests and diseases (Vox et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Design and testing of a nutrient mixing machine for greenhouse fertigation

Sun

Wang

et al. 2015

Engineering in Agriculture, Environment and Food

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a b s t r a c tTo improve the efficiency and accuracy of water-nutrient mixing, a multi-channel fertigation machine was designed; the hardware includes a programmable logic controller (PLC), a touch system and multichannel sensors. A sectional forecast control algorithm based on the nutrient dilution model was proposed to control the fertigation machine. When the 100-fold concentrated nutrient solution was diluted by a factor of 20e200, the results showed that the standard deviations of the electrical conductivity (Ec) and the pH for four repeat measurements were 0e0.4 mS cm À1 and 0.057e0.12, respectively; therefore, the performance of the nutrient solution was stable. When the target Ec values were 1.0, 1.5, 2.0, 2.5, 3.0 and 4.0 mS$cm À1 , the variation coefficients relative to the target Ec values for three repeat measurements were 2%, 0.94%, 0.87%, 0.63%, 2.37% and 1.8%, respectively. The multi-channel water-nutrient mix resulting from the sectional forecast control algorithm was precise; the error of the Ec was less than 0.05 mS$cm À1 , which satisfies the requirements of fertigation for soilless cultivation in greenhouses.

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Simulation of transpiration, drainage, N uptake, nitrate leaching, and N uptake concentration in tomato grown in open substrate

Cited by 58 publications

References 12 publications

The effects of different water and nitrogen levels on yield, water and nitrogen utilization efficiencies of spinach (Spinacia oleraceaL.)

The effects of different water and nitrogen levels on yield, water and nitrogen utilization efficiencies of spinach (Spinacia oleraceaL.)

Evaluation and adaptation of TOMGRO model to Italian tomato protected crops

Design and testing of a nutrient mixing machine for greenhouse fertigation

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