SIMULATION OF GREENHOUSE CUCUMBER LEAF AREA BASED ON RADIATION AND THERMAL EFFECTIVENESS

doi:10.17521/cjpe.2006.0109

Abstract

Abstract:

Background and Aims Leaf area index (LAI) is one of the most important crop parameters in photosynthesis driven crop growth simulation models. Temperature and radiation are important climate factors affecting crop leaf growth. The aim of this study is to quantitatively investigate the effects of both temperature and photosynthetically active radiation (PAR) on the leaf growth of greenhouse cucumber (Cucumis sativus).

Methods Experiments with different cultivars and sowing dates were conducted in greenhouses of Shanghai Academy of Agricultural Sciences during August, 2003 and July, 2004. We used the following quantitative relationships based on experimental data to model the relationship between the product of thermal effectiveness and PAR (TEP): accumulated TEP to the number of unfolding leaves per plant and the number of old leaves removed per plant, leaf position relative to the rate of increase in leaf length and the maximum leaf length; and the ratio of leaf area to leaf length. Based on these quantitative relationships, a leaf area simulation model for greenhouse cucumber was developed. Independent experimental data were used to validate the model. The simulated results of the model developed in this study were compared with those of the traditional GDD based model (which predict leaf area based on growing degree days) and SLA based model (which predict leaf area based on the specific leaf area and leaf dry weight).

Key Results The coefficient of determination (R²) and the root mean squared error (RMSE) between the simulated and the measured leaf area index (LAI) based on the 1∶1 line are 0.879 2 and 0.398 0, respectively. The prediction accuracy of this model is 37% and 74% higher, respectively, than that of the traditionalGDD and SLA based models.

Conclusions The model developed in this study can predict LAI satisfactorily using air temperature, radiation, date of the first leaf unfolding and planting density. The simple model input makes the model user friendly and more applicable in greenhouse crop and climate management practices.

Key words: Greenhouse, Cucumber, Product of thermal effectiveness and PAR, Leaf area index, Simulation model

LI Yong-Xiu, LUO Wei-Hong, NI Ji-Heng, CHEN Yong-Shan, XU Guo-Bin, JIN Liang, DAI Jian-Feng, CHEN Chun-Hong, BU Chong-Xing. SIMULATION OF GREENHOUSE CUCUMBER LEAF AREA BASED ON RADIATION AND THERMAL EFFECTIVENESS[J]. Chin J Plant Ecol, 2006, 30(5): 861-867.

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URL: https://www.plant-ecology.com/EN/10.17521/cjpe.2006.0109

https://www.plant-ecology.com/EN/Y2006/V30/I5/861

Figures/Tables 6

Fig.1 Relationship between number of leaves unfolding and accumulated product of thermal effectiveness and PAR (TEP) after unfolding of the first leaf

Fig.2 Relationship between the increasing rate of leaf length and leaf order Ledgends see Fig. 1

Fig.3 Relationship between the maximum leaf length and leaf order Legends see Fig. 1

Fig.4 Relationship between leaf area and leaf length Legends see Fig. 1

Fig.5 Relationship between number of old leaves removed and accumulated product of thermal effectiveness and PAR (TEP) after unfolding of the first leaf Legends see Fig. 1

Fig.6 Comparison between simulated and observed leaf area index

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