Crop modelling in horticulture: state of the art

Gary, Christian; Jones, J.W.; Tchamitchian, Marc

doi:10.1016/s0304-4238(98)00080-6

Cited by 78 publications

(52 citation statements)

References 54 publications

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“…Horticulture is characterized by a high diversity of cultivation systems, and fruit, vegetable and ornamental species, but so far only few of them have been modeled (GARY et al, 1998).…”

Section: Temperatura é Um Dos Principais Fatores Que Afeta a Velocidamentioning

confidence: 99%

A generalized nonlinear tempeature response function for some growth and developmental parameters in kiwifruit (Actinidia deliciosa (A. Chev.) C. F. Liang & A. R. Ferguson)

Streck

2003

Cienc. Rural

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Temperature is a major factor that affects metabolic processes in living organisms. Thermal time has been widely used to account for the effects of temperature on crop growth and development. However, the thermal time approach has been criticized because it assumes a linear relationship between the rate of crop growth or development and temperature. The response of the rate of crop growth and development to temperature is nonlinear. The objective of this study was to develop a generalized nonlinear temperature response function for some growth and developmental parameters in kiwifruit (Actinidia deliciosa (A. Chev.) C. F. Liang & A. R. Ferguson). The nonlinear function has three coefficients (the cardinal temperatures), which were 0ºC, 25ºC, and 40ºC. Data of temperature response of relative growth rate, relative leaf area growth, net photosynthesis rate, and leaf appearance rate in kiwifruit (female cv. Hayward) at two light levels, which are from published research, were used as independent data for evaluating the performance of the nonlinear and the thermal time functions. The results showed that the generalized nonlinear response function is better than the thermal time approach, and the temperature response of several growth and developmental parameters in kiwifruit can be described with the same response function.

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“…Horticulture is characterized by a high diversity of cultivation systems, and fruit, vegetable and ornamental species, but so far only few of them have been modeled (GARY et al, 1998).…”

Section: Temperatura é Um Dos Principais Fatores Que Afeta a Velocidamentioning

confidence: 99%

A generalized nonlinear tempeature response function for some growth and developmental parameters in kiwifruit (Actinidia deliciosa (A. Chev.) C. F. Liang & A. R. Ferguson)

Streck

2003

Cienc. Rural

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“…A second line of research focuses on the development of crop growth models. These models integrate knowledge from different disciplines and provide tools for more flexible, effective, and efficient management of a nursery or production chain or for policy development (Gary et al, 1998). It is this second line of research that will be elaborated further here.…”

Section: Models and Other Sources Of Informationmentioning

confidence: 99%

Crop Models for Greenhouse Production Systems

Challa¹

2002

Acta Hortic.

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Although the physiological principles involved in the growth of greenhouse and field crops are not basically different, the development of models for greenhouse crops to some extent has followed its own way. This is mainly due to the specific characteristics of the crops and of the greenhouse production systems involved. Many important greenhouse crops are multi-harvest crops, where the balance between vegetative and generative growth is an aspect of major concern to growers. Moreover, most products have a high water content and they are sold fresh. In food crops, taste is a valuable crop property. In ornamentals, shape and colour are important characteristics that put certain demands on the output of models. More generally, quality issues (e.g., shelf or vase life) often have to be approached in a different way than with field crops. Last but not least, the huge number of species is problematic for crop modellers in horticulture.Modern greenhouse production systems provide the grower with a highly advanced, but expensive system for controlling the aerial and root environments of the crop. Through this control system growers are able to control the production process in great detail. The high added value obtained in greenhouses and the high quality requirements go together with a great deal of human interference in the production process: either directly, by pruning and training, or indirectly, by using various organisms for pest control and pollination. Crop management and the interaction of pests and diseases with the crop are both aspects that make special demands on crop models.It is a major challenge for greenhouse growers to make the best possible use of the available options to achieve high productivity at the moment when products are required in the market. In addition, this must be accomplished while reducing the environmental impact by emissions of CO 2 , nutrients, and biocides and at minimum cost. To optimise greenhouse production systems, crop models are needed. But, they also have to be integrated into more complex models of the nursery as a whole to address planning, scheduling, and logistics. For policy makers, there is a need for models at regional or national scale that help them to decide on measures related to environmental issues or economic development.Models on product quality and integration of models from different disciplines to simulate nurseries and whole product chains are some of the important and challenging developments in greenhouse simulation over the last few years. Also, the implementation of models into practice is a hot issue generating many new and complex research questions.

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“…Nevertheless, only few models for ornamental crops are available (Marcelis et al, 1998) and these are mainly focused on the growth and development, rather than on product quality (Gary et al, 1998). Lee (2002) developed and validated a photosynthesis-driven growth model, for the prediction of dry mass production in year-round cut chrysanthemum (CHRYSIMv1.0).…”

Section: Introductionmentioning

confidence: 99%

Modelling External Quality of Cut Chrysanthemum: Achievements and Limitations

Carvalho¹,

Heuvelink²

2004

Acta Hortic.

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This INTRODUCTIONThe development of models on product quality has been an important and challenging issue in greenhouse crop simulation, over the last few years (Challa, 2002). Nevertheless, only few models for ornamental crops are available (Marcelis et al., 1998) and these are mainly focused on the growth and development, rather than on product quality (Gary et al., 1998). Lee (2002) developed and validated a photosynthesis-driven growth model, for the prediction of dry mass production in year-round cut chrysanthemum (CHRYSIMv1.0). Since the visual (external) quality aspects have a large influence on the selling price of chrysanthemum, this explanatory model could highly benefit from the incorporation of 'modules' to predict the main external quality aspects.To predict the main external quality aspects of cut chrysanthemum a good quantification and understanding of the effects of the above-ground growth conditions is needed. Carvalho and Heuvelink (2001) made an attempt to integrate the available knowledge on this topic. From their literature study it became clear that quality aspects were rarely the focus in studies on chrysanthemum. The information was widely spread and often a clear understanding of the processes behind a quality aspect was lacking, and the results could not easily be generalised. Furthermore, some contradictions were also found when comparing different studies. Part of these contradictions was possibly related to the use of different cultivars in different studies, but others needed additional research.

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Crop modelling in horticulture: state of the art

Cited by 78 publications

References 54 publications

A generalized nonlinear tempeature response function for some growth and developmental parameters in kiwifruit (Actinidia deliciosa (A. Chev.) C. F. Liang & A. R. Ferguson)

A generalized nonlinear tempeature response function for some growth and developmental parameters in kiwifruit (Actinidia deliciosa (A. Chev.) C. F. Liang & A. R. Ferguson)

Crop Models for Greenhouse Production Systems

Modelling External Quality of Cut Chrysanthemum: Achievements and Limitations

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