Development, calibration and validation of a greenhouse tomato growth model: I. Description of the model

Dayan, E.; Keulen, H. van; Jones, James W.; Zipori, Isaac; Shmuel, D.; Challa, H.

doi:10.1016/0308-521x(93)90024-v

Cited by 62 publications

(24 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The aim of plant or crop models is to describe mathematically the increase of biomass in terms of fresh weight, dry weight, volume, and diameter as well as its progressive development in ontogeny with special reference to flowering and fruiting (Liebig 1989). Several models predict the assimilate production of a crop with reasonable accuracy for some vegetable crops (Acock et al 1978;Charles-Edwards et al 1986;Acock 1991;Jones et al 1991;Pearson 1992;Bertin & Heuvelink 1993;Dayan et al 1993;DeKoning 1994;Marcelis & Heuvelink 1999;Rosati et al 2002a). …”

Section: Introductionmentioning

confidence: 99%

Effect of light and temperature on the phenology and maturation of the fruit of eggplant (Solanum melongena) grown in greenhouses

Uzun

2007

New Zealand Journal of Crop and Horticultural Science

View full text Add to dashboard Cite

This study aimed to determine relationships for the effect of light (between 3 and 7 MJ/m 2 per day) and temperature (between 12°C and 28°C) on some developmental and fruiting parameters such as days to first flowering (FD, days), flower bud number/plant (FBN/P), fruit number/plant (FN/P), mean fresh fruit weight/plant (MFFW/P, g), fruit growth period (FGP, days), and total yield/plant (TY/P, g) of eggplant (Solanum melongena) grown in greenhouses. All parameters except days to flowering and fruit growth period showed a sharp curvilinear response to temperature at all light intensities, with lower values either side of an optimum temperature. Days to flowering showed little response to temperature at 7 MJ/m 2 per day of light but decreased with temperature at 3 MJ/m 2 per day. Optimum temperature for each attribute increased with increasing light intensity except for flower bud number. FD, FN/P, and TY/P showed a slight curvilinear response to light intensity at all temperatures except that days to flowering and fruit number per plant showed a sharp curvilinear decline at higher temperatures. FBN/P and MFFW/P showed a sharp linear response to light intensity at lower temperatures and a slight curvilinear response at higher temperatures. At all temperatures, FGP was a sharp linear function of light intensity. The derived relationships provide the potential for optimising growth and fruiting of eggplant in greenhouses, but need to be validated under commercial conditions.

show abstract

Section: Introductionmentioning

confidence: 99%

Effect of light and temperature on the phenology and maturation of the fruit of eggplant (Solanum melongena) grown in greenhouses

Uzun

2007

New Zealand Journal of Crop and Horticultural Science

View full text Add to dashboard Cite

show abstract

“…Models predicting growth and yield have been developed for a large number of crops including tomato (Dayan et al, 1993;Gary et al, 1995;Heuvelink, 1995a;Marcelis et al, 1998;Cooman, 2002;Cooman and Schrevens, 2003;Dai et al, 2006;Boote and Scholberg, 2006).…”

Section: Introductionmentioning

confidence: 99%

Simulating Growth and Development of Tomato Crop

Marcelis¹,

Elings²,

Visser³

et al. 2009

Acta Hortic.

View full text Add to dashboard Cite

Crop models are powerful tools to test hypotheses, synthesize and convey knowledge, describe and understand complex systems and compare different scenarios. Models may be used for prediction and planning of production, in decision support systems and control of the greenhouse climate, water supply and nutrient supply. The mechanistic simulation of tomato crop growth and development is described in this paper. The main processes determining yield, growth, development and water and nutrient uptake of a tomato crop are discussed in relation to growth conditions and crop management. Organ initiation is simulated as a function of temperature. Simulation of leaf area expansion is also based on temperature, unless a maximum specific leaf area is reached. Leaf area is an important determinant for the light interception of the canopy. Radiation shows exponential extinction with depth in the canopy. For leaf photosynthesis several models are available. Transpiration is calculated according to the Penman-Monteith approach. Net assimilate production is calculated as the difference between canopy gross photosynthesis and maintenance respiration. The net assimilate production is used for growth of the different plant organs and growth respiration. Partitioning of assimilates among plant organs is simulated based on the relative sink strengths of the organs. The simulation of plant-nutrient relationships starts with the calculation of the demanded concentrations of different macronutrients for each plant organ with the demand depending on the ontogenetic stage of the organ. Subsequently, the demanded nutrient uptake is calculated from these demanded concentrations and dry weight of the organs. When there is no limitation in the availability at the root surface, the actual uptake will equal the demanded uptake. When the root system cannot fulfil the demand, uptake is less, plant nutrient concentration drops and crop production might be reduced. It is concluded that mechanistic crop models accurately simulate yield, growth, development and water and nutrient relations of greenhouse grown tomato in different climate zones.

show abstract

“…Control Biol. Y 2.21 (R 6.1) (ex. TOMGRO (Dayan et al, 1993;Bertin and Gary, 1993) and TOMSIM (Heuvelink, 1996;Heuvelink, 1999)) included a factor of temperature. Because it was thought that higher air temperature decreased the days of fruit development so that decreased integrated solar radiation during fruit developing.…”

Section: Discussionmentioning

confidence: 99%

Simulation Model for Predicting Fruit Yield of Tomatoes Grown on a Single-truss System under Shade in Summer

Wada

Ikeda

Hirai

et al. 2013

Environmental Control in Biology

View full text Add to dashboard Cite

Development, calibration and validation of a greenhouse tomato growth model: I. Description of the model

Cited by 62 publications

References 44 publications

Effect of light and temperature on the phenology and maturation of the fruit of eggplant (Solanum melongena) grown in greenhouses

Effect of light and temperature on the phenology and maturation of the fruit of eggplant (Solanum melongena) grown in greenhouses

Simulating Growth and Development of Tomato Crop

Simulation Model for Predicting Fruit Yield of Tomatoes Grown on a Single-truss System under Shade in Summer

Contact Info

Product

Resources

About