Simulation of strawberry yield using dry matter distribution based on the potential growth of the sink–source organs
Strawberry, a vital crop in horticulture, faces challenges like pest infestations and climate variability that affect stable production. A crop model based on photosynthesis-derived dry matter (DM) production is an effective method to examine the environment–plant growth relationship. The developed...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
|
| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1544735/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839622414408876032 |
|---|---|
| author | Tomomi Sugiyama Yusuke Kakei Yasunaga Iwasaki Atsushi Oda Masahide Isozaki |
| author_facet | Tomomi Sugiyama Yusuke Kakei Yasunaga Iwasaki Atsushi Oda Masahide Isozaki |
| author_sort | Tomomi Sugiyama |
| collection | DOAJ |
| description | Strawberry, a vital crop in horticulture, faces challenges like pest infestations and climate variability that affect stable production. A crop model based on photosynthesis-derived dry matter (DM) production is an effective method to examine the environment–plant growth relationship. The developed model simulates total DM production and yield overtime using greenhouse environment, each inflorescence anthesis dates, leaf area, and physiological parameters as inputs. Total DM production was accurately simulated by inputting leaf area measured by either destructive measurement or web-camera based imaging without destructive measurements (RRMSE = 0.15 and 0.17). Cumulative yields closely matched measured values across two distinct growing seasons (RRMSE = 0.11–0.15). The monthly yield generally aligned with the observed values, except at the beginning and end of the harvest period, where the model tended to overestimate production. These result suggested the process of DM distribution calculation based on the potential growth of the individual leaves and fruit clusters present on that day was effective in capturing the dynamics of DM distribution to the fruit. The model could be applied to strawberry production in greenhouses controlled with optimal ranges for the plant growth. The model’s applicability to diverse greenhouse conditions would be broadened by improving the physiological parameters in future work. |
| format | Article |
| id | doaj-art-e8b5aaa6c3d343b6a9e9bc4f07e97c9e |
| institution | Matheson Library |
| issn | 1664-462X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj-art-e8b5aaa6c3d343b6a9e9bc4f07e97c9e2025-07-22T05:29:43ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2025-07-011610.3389/fpls.2025.15447351544735Simulation of strawberry yield using dry matter distribution based on the potential growth of the sink–source organsTomomi Sugiyama0Yusuke Kakei1Yasunaga Iwasaki2Atsushi Oda3Masahide Isozaki4Institute of Vegetable and Floriculture Science, National Agriculture and Food Research Organization, Tsukuba, JapanInstitute of Vegetable and Floriculture Science, National Agriculture and Food Research Organization, Tsukuba, JapanSchool of Agriculture, Meiji University, Kawasaki, JapanInstitute of Vegetable and Floriculture Science, National Agriculture and Food Research Organization, Tsukuba, JapanInstitute of Vegetable and Floriculture Science, National Agriculture and Food Research Organization, Tsukuba, JapanStrawberry, a vital crop in horticulture, faces challenges like pest infestations and climate variability that affect stable production. A crop model based on photosynthesis-derived dry matter (DM) production is an effective method to examine the environment–plant growth relationship. The developed model simulates total DM production and yield overtime using greenhouse environment, each inflorescence anthesis dates, leaf area, and physiological parameters as inputs. Total DM production was accurately simulated by inputting leaf area measured by either destructive measurement or web-camera based imaging without destructive measurements (RRMSE = 0.15 and 0.17). Cumulative yields closely matched measured values across two distinct growing seasons (RRMSE = 0.11–0.15). The monthly yield generally aligned with the observed values, except at the beginning and end of the harvest period, where the model tended to overestimate production. These result suggested the process of DM distribution calculation based on the potential growth of the individual leaves and fruit clusters present on that day was effective in capturing the dynamics of DM distribution to the fruit. The model could be applied to strawberry production in greenhouses controlled with optimal ranges for the plant growth. The model’s applicability to diverse greenhouse conditions would be broadened by improving the physiological parameters in future work.https://www.frontiersin.org/articles/10.3389/fpls.2025.1544735/fullFragaria × ananassagreenhousecrop modelvalidationyield prediction |
| spellingShingle | Tomomi Sugiyama Yusuke Kakei Yasunaga Iwasaki Atsushi Oda Masahide Isozaki Simulation of strawberry yield using dry matter distribution based on the potential growth of the sink–source organs Frontiers in Plant Science Fragaria × ananassa greenhouse crop model validation yield prediction |
| title | Simulation of strawberry yield using dry matter distribution based on the potential growth of the sink–source organs |
| title_full | Simulation of strawberry yield using dry matter distribution based on the potential growth of the sink–source organs |
| title_fullStr | Simulation of strawberry yield using dry matter distribution based on the potential growth of the sink–source organs |
| title_full_unstemmed | Simulation of strawberry yield using dry matter distribution based on the potential growth of the sink–source organs |
| title_short | Simulation of strawberry yield using dry matter distribution based on the potential growth of the sink–source organs |
| title_sort | simulation of strawberry yield using dry matter distribution based on the potential growth of the sink source organs |
| topic | Fragaria × ananassa greenhouse crop model validation yield prediction |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2025.1544735/full |
| work_keys_str_mv | AT tomomisugiyama simulationofstrawberryyieldusingdrymatterdistributionbasedonthepotentialgrowthofthesinksourceorgans AT yusukekakei simulationofstrawberryyieldusingdrymatterdistributionbasedonthepotentialgrowthofthesinksourceorgans AT yasunagaiwasaki simulationofstrawberryyieldusingdrymatterdistributionbasedonthepotentialgrowthofthesinksourceorgans AT atsushioda simulationofstrawberryyieldusingdrymatterdistributionbasedonthepotentialgrowthofthesinksourceorgans AT masahideisozaki simulationofstrawberryyieldusingdrymatterdistributionbasedonthepotentialgrowthofthesinksourceorgans |