Sugiyama Tomomi, Kakei Yusuke, Iwasaki Yasunaga, Oda Atsushi, Isozaki Masahide
Institute of Vegetable and Floriculture Science, National Agriculture and Food Research Organization, Tsukuba, Japan.
School of Agriculture, Meiji University, Kawasaki, Japan.
Front Plant Sci. 2025 Jul 22;16:1544735. doi: 10.3389/fpls.2025.1544735. eCollection 2025.
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.
草莓是园艺中的重要作物，面临着病虫害侵袭和气候多变等影响稳定产量的挑战。基于光合作用产生的干物质（DM）产量的作物模型是研究环境与植物生长关系的有效方法。所开发的模型以温室环境、各花序开花日期、叶面积和生理参数为输入，模拟总干物质产量和随时间的产量。通过输入通过破坏性测量或基于网络摄像头的非破坏性成像测量的叶面积，准确模拟了总干物质产量（相对均方根误差分别为0.15和0.17）。在两个不同的生长季节，累计产量与测量值紧密匹配（相对均方根误差为0.11 - 0.15）。月产量总体上与观测值一致，但在收获期开始和结束时，模型往往高估产量。这些结果表明，基于当天单个叶片和果实簇潜在生长的干物质分配计算过程有效地捕捉了干物质向果实分配的动态。该模型可应用于在植物生长最佳范围内控制的温室草莓生产。通过在未来工作中改进生理参数，将扩大该模型对不同温室条件的适用性。
