Effect of air temperature on each fruit growth and ripening stage of strawberry ‘Koiminori’
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Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
Research Center for Agricultural Robotics, NARO, 1-31-1 Kannondai, Tsukuba, Ibaraki 305-0856, Japan
Kyushu Okinawa Agricultural Research Center, NARO, 1823-1 Miimachi, Kurume, Fukuoka 839-8503, Japan
Institute of Vegetable and Floriculture Science, NARO, 3-1-1 Kannondai, Tsukuba, Ibaraki 305-8519, Japan
Final revision date: 2024-03-11
Acceptance date: 2024-03-12
Publication date: 2024-04-17
Corresponding author
Hiroki Naito   

Graduate School of Agricultural and Life Sciences, The University of Tokyo, Japan
Int. Agrophys. 2024, 38(2): 195-202
  • Studied temperature's effect on 'Koiminori' fruit growth and ripening.
  • Strong correlation at the white stage, weaker at the green stage.
  • Proposed an equation that incorporates each stage's temperature.
  • The equation slightly improved the harvest time prediction accuracy (0.18 days).
  • Prediction accuracy of stages depends on not only air temperature but other environmental parameters.
Strawberries are an economically valuable fruit in Japan; hence, their production must be maintained throughout the year. In this study, we investigated the effect of temperature on the number of days required for each fruit growth and ripening stage in order to obtain a basic knowledge for the highly accurate prediction and control of fruit harvest time. We planted the ‘Koiminori’ variety in artificial climate chambers, and then the effect of the average air temperature on the number of days required for each stage was analysed in four stages. The results showed that the correlation between temperature and the number of days required for fruit maturity was high at the white stage, moderate at the flowering and turning stages, and weak at the green stage. In comparing our proposed method which estimates the entire maturation period of the strawberries by totalling the predicted number of days required for each stage with the conventional method of estimating the entire maturation period at once, our proposed method significantly reduced the mean absolute error. However, the difference was slight at 0.18 days. This result suggests that the number of days required for each stage should be optimized for prediction by adding parameters other than air temperature as independent variables.
The authors declare no conflict of interest.
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