Modelling Daily Changes in Specific Leaf Area of Tomato: The Contribution of the Leaf Assimilate Pool

Gary, Christian; Jones, JE; Longuenesse, Jean Jacques

doi:10.17660/actahortic.1993.328.19

Cited by 27 publications

(17 citation statements)

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“…The relations between the DM production and the shape and size, are quantified in terms of specific volume, specific area and specific length [14,28,29]. Accordingly, the sink strength of each organ derives from its potential dimensions.…”

Section: Description Of the Modelmentioning

confidence: 99%

“…To introduce the effect of environmental conditions on growth and development, SSL, SLA and SBV are each assigned three values, each appropriate for poor, standard, or favorable conditions. High values for SSL and SLA and low for SBV are obtained by subjecting the plants to intense shading or high temperature, and the opposite effects are obtained by imposing high levels of radiation or CO 2 [20,29,32].…”

Section: Description Of the Modelmentioning

confidence: 99%

“…The nondestructive measurements and regression models for estimating shoot leaves, stem and flower buds, dry matter and morphological characteristics, follow the use of SLA and SSL by Morisot [14] and Gary [29] and the nondestructive estimations methods of Pasian and Lieth [28], while the AC and bookkeeping techniques follow the box car technique of de Wit and his students [34,35].…”

Section: Description Of the Modelmentioning

confidence: 99%

“…2. Experimentally, high values for SSL and SLA and low ones for SBV can be obtained by subjecting the plants to heavy shading or high temperature conditions, and the opposite effects can be obtained in greenhouses with high levels of radiation or CO 2 [29,32,38]. Minimal values were obtained from BS of plants developed under heavy shade.…”

Section: Estimation Of Morphological Templates and Characteristics Omentioning

confidence: 99%

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Prediction and calculation of morphological characteristics and distribution of assimilates in the ROSGRO model

Dayan

Presnov

Fuchs

2004

Mathematics and Computers in Simulation

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Section: Description Of the Modelmentioning

confidence: 99%

Section: Description Of the Modelmentioning

confidence: 99%

Section: Description Of the Modelmentioning

confidence: 99%

Section: Estimation Of Morphological Templates and Characteristics Omentioning

confidence: 99%

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Prediction and calculation of morphological characteristics and distribution of assimilates in the ROSGRO model

Dayan

Presnov

Fuchs

2004

Mathematics and Computers in Simulation

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“…Cela (Bonnemain, 1966); en revanche, l'importance et le contrôle des flux sont moins bien connus. Des tentatives récentes de modélisation de l'élabora-tion du rendement de la tomate font appel à des hypothèses simples, en simulant la répartition des assimilats selon des rapports constants entre organes (Kano et van Bavel, 1988), et/ou selon le rapport entre les forces des différents puits (Heuvelink et Marcelis, 1989;Jones et al, 1991 (Gary, 1988 (Gary et al, 1993 (Picken, 1984;Atherton et Harris, 1986;Wolf et Rudich, 1988 (Jeuffroy, 1991 (Kinet, 1977 …”

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Évaluation d'un modèle dynamique de croissance et de développement de la tomate (Lycopersicon esculentum Mill), TOMGRO, pour différents niveaux d'offre et de demande en assimilats

Bertin¹,

Gary²

1993

Agronomie

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activities, induced by CO 2 enrichment and truss thinning. The main purpose was the evaluation of the assumptions on dry matter partitioning and fruit setting. The photosynthesis submodel has been calibrated to fit the daily dry-matter production. The main input parameters to the development and growth submodels have been experimentally measured. The calibrated model provides good simulations of the leaf area expansion, but it takes no account of the variations in the assimilates stored in leaf blades. Total fruit growth is well simulated in spite of a small underestimation for of development and simulations of source/sink balance leads to good simulations of the number of set fruits. This result confirms the hypothesis that fruit set depends on the ratio between assimilate source and sink activities. This calibration with a beef tomato cultivar proves the robustness of the model and permits some improvements to be suggested. The surplus assimilates should be stored in a pool, which could exert a buffer effect during low supply periods. Sink strength of reproductive and vegetative parts should be measured for different cultivars, and under various climatic conditions. Finally, whether the functions of assimilate distribution and fruit set are still valid under very low supply conditions or whether some organs have priority over the others remains to be determined.

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Short and Long Term Fluctuations of the Leaf Mass Per Area of Tomato Plants—Implications for Growth Models

Bertin¹

1998

Annals of Botany

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Modelling Daily Changes in Specific Leaf Area of Tomato: The Contribution of the Leaf Assimilate Pool

Cited by 27 publications

References 0 publications

Prediction and calculation of morphological characteristics and distribution of assimilates in the ROSGRO model

Prediction and calculation of morphological characteristics and distribution of assimilates in the ROSGRO model

Évaluation d'un modèle dynamique de croissance et de développement de la tomate (Lycopersicon esculentum Mill), TOMGRO, pour différents niveaux d'offre et de demande en assimilats

Short and Long Term Fluctuations of the Leaf Mass Per Area of Tomato Plants—Implications for Growth Models

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