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Hortic. Res.-England, 07 May 2025 | https://doi.org/10.1093/hr/uhaf124
Simulation of dry matter partitioning in cucumber fruits: reflecting gas exchange characteristics based on leaf position and cropping type
Ha Rang Shin1†, Yu Hyun Moon1†, Ha Seon Sim1, Tae Yeon Lee1, Soo Bin Jung1, Yong Jun Kim1, Na Kyoung Kim1, Jin Woo Lee1, Tae Hyun Kim1, Seunghyun Ban1*, Sung Kyeom Kim1, 2*
1Department of Horticultural Science, College of Agricultural and Science, Kyungpook National University, Daegu 41566, Korea
2World Horti Center, Kyungpook National University, Sangju 37224, Republic of Korea
†These authors contributed equally.
*For correspondence : Seunghyun Ban, Sung Kyeom Kim
1Department of Horticultural Science, College of Agricultural and Science, Kyungpook National University, Daegu 41566, Korea
2World Horti Center, Kyungpook National University, Sangju 37224, Republic of Korea
†These authors contributed equally.
*For correspondence : Seunghyun Ban, Sung Kyeom Kim
Abstract
This study aimed to predict dry matter partitioning in cucumber fruit (Cucumis sativus L.) by developing a simulation model that integrates photosynthetic characteristics based on leaf age and cropping type. Leaf gas exchange, growth, and environmental data from semi-forcing and forcing cropping types were used to calibrate models including the Farquhar-von Caemmerer-Berry (FvCB) model and other growth-related models. The FvCB model revealed reduced Vcmax and Jmax values in older leaves across all cropping types, with semi-forcing crops showing higher photosynthetic capacities than forcing crops. Simulation results showed that, in predicting dry matter partitioning to fruit, the leaf position-specific simulation model exhibited higher average R2 and lower RMSE (g m-2) compared to the leaf position-independent model, which applied the middle leaf FvCB model across all leaf ranks. Additionally, bias comparisons indicated greater consistency in the leaf position-specific model. This approach allows growers to optimize environmental strategies by utilizing photosynthetic data form each leaf position. However, to further improve canopy-level predictions, future models should incorporate the temperature dependence of mesophyll conductance and the effects of photoperiodicity. This study underscores the value of integrating physiological and environmental complexities into crop simulation models, providing a foundation for enhanced predictions and the development of improved crop management strategies across various cultivation scenarios.
논문정보
- Research article
- 2025년 05월 (BRIC 등록일 2025-06-04)
- 국내 연구진
- 생명과학 > 식량작물 및 원예작물
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