# Morphological analysis-based yield modeling in greenhouse grown cherry tomato (Solanum lycopersicum) under prolonged heat stress

**Authors:** Sumin Kim, Jaehak Jeong, Sojung Kim

PMC · DOI: 10.3389/fpls.2025.1730694 · Frontiers in Plant Science · 2025-12-19

## TL;DR

This study models how prolonged heat stress affects cherry tomato yields in greenhouses, finding that one variety (HR24) is more resilient to heat than another (HR17).

## Contribution

A novel greenhouse tomato growth model is developed to assess heat stress impacts and predict yield changes under future climate scenarios.

## Key findings

- HR24 allocates more biomass and shows higher resilience to heat stress compared to HR17.
- Under future climate scenarios, HR17's yield is projected to decrease while HR24's yield is expected to increase.
- HR24's resilience may be due to sustained photosynthetic activity through increased biomass production.

## Abstract

In South Korea, cherry tomato (Solanum lycioersucum) is a major greenhouse vegetable crop. However, climate change has steadily raised Earth’s average temperature, posing a serious challenge for greenhouse agriculture. Elevated temperatures can trigger heat stress in greenhouse crops, leading to considerable yield losses. This study developed a greenhouse tomato growth model for two cherry tomato accessions, HR17 and HR24, cultivated under heat stress conditions during growing periods. Climate projections based on polynomial regression were incorporated into the plant growth model to assess climate change impacts on tomato yields. The two tomato accessions demonstrate distinct growth characteristics: HR24 allocates more biomass relative to fruit yield (Harvest index:0.48), whereas HR17 shows greater fruit production than biomass accumulation (Harvest index:0.65). Their yield responses also vary under future climate scenarios highlighted by temperature increases of 1-8°C and extended hot seasons compared to historical records. HR24 appears more resilient to heat stress than HR17. Under Climate Change scenarios (SSP245 and SSP585 pathways), HR17 will decrease its fruit yield by around 1.2 Dry Ma/ha, while HR24 yields will be increased by round 1.3 Dry Mg/ha. This increased tolerance in HR24 may be attributable to its ability to sustain photosynthetic activity through higher production of biomass organs such as leaves and stems. These findings form a foundation for developing greenhouse crop models in future research and supporting farmers by providing more reliable yield forecasts.

Schematic of modeling effects of pro-longed heat stress on greenhouse cherry tomato yields. The greenhouse cherry tomato models used weather data generated by Greenhouse Climate model, and the crop parameters were developed based on the 2-years of greenhouse experiments.Flowchart depicts a heat stress greenhouse tomato growth model divided into three sections: Data Collection, Model, and Results. Data collection involves climate input into the Greenhouse Climate Model, affecting environmental variables and guiding greenhouse experiments. Results show HR24 has a smaller harvest index compared to HR17, with growth data under control and heat conditions provided. Climate change scenarios predict HR17's yield will decrease, while HR24's will increase. Inputs include weather and soil conditions, heat tolerance, and crop management. The APEX model is central, integrating these factors.

Schematic of modeling effects of pro-longed heat stress on greenhouse cherry tomato yields. The greenhouse cherry tomato models used weather data generated by Greenhouse Climate model, and the crop parameters were developed based on the 2-years of greenhouse experiments.

## Linked entities

- **Species:** Solanum lycopersicum (taxon 4081)

## Full-text entities

- **Species:** Solanum lycopersicum var. cerasiforme (cherry tomato, varietas) [taxon 195583], Solanum lycopersicum (tomato, species) [taxon 4081]

## Full text

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## Figures

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## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC12757247/full.md

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Source: https://tomesphere.com/paper/PMC12757247