S06 - Session P13 - Prediction of Fruit Yield and Preparation of Cultivation Map Based on Growth and Flowering Parameters of Strawberry Cultivations in Tunnel-type Greenhouse

S06 - Session P13 - Prediction of Fruit Yield and Preparation of Cultivation Map Based on Growth and Flowering Parameters of Strawberry Cultivations in Tunnel-type Greenhouse

Thursday, August 18, 2022 5:15 PM to 5:20 PM · 5 min. (Europe/Paris)
Angers Congress Centre
S06 International symposium on innovative technologies and production strategies for sustainable controlled environment horticulture

Information

Authors: Jung Su Jo *, Dong Sub Kim, Won Jun Jo, Ha Seon Sim, Yu Hyun Moon, Ui Jeong Woo, Soo Bin Jung, Steven Kim, Xiaoming Mo, Su Ran Ahn, Sung Kyeom Kim

The flower bud differentiation and flowering of strawberry are greatly affected by photoperiod and temperature, and the technology to predict fruit yield is very important. In the tunnel-type plastic greenhouse, the yield was predicted using the growth and fruit characteristics of five Korean strawberry cultivars ('Arihyang', 'Jukhyang', 'Keumsil', 'Maehyang', 'Seollhyang'), and the Growing Degree Days (GDD) and Chilling Requirements (CR) were investigated for each cultivar to map of cultivation using a geographic information system. The number of leaves, petiole length, leaf length and width, crown diameter, GDD, CR, and ratio of red and far-red (RFR) of the five Korean cultivars were measured during the cultivation period. The number of leaves of all cultivars exhibited a similar trend during this period; the plant and petiole length of 'Maehyang' were the longest, leaf length exhibited similar trends in all five cultivars except for 'Jukhyang', the leaf width of 'Arihyang', was the longest, and crown diameter of 'Keumsil' was the thickest. The leaf length, crown diameter, and RFR were associated with the fruit yield in the multiple linear regression. When a single model was used to predict the yield of all five cultivars, the correlation between expected yield and actual yield was r = 0.53. When cultivar-specific models were built for the prediction, the correlation increased to r = 0.77. The expected GDD and CR of each primary strawberry production area were converted to the number of days after transplanting and a cultivation map was developed. The fruit yield of strawberry cultivars could be better predicted by considering cultivar-specific information, so it may be necessary to consider individual cultivars specifically rather than all cultivars simultaneously.

Type of sessions
Eposter Flash Presentation
Type of broadcast
In person
Keywords
cross-validationcultivar-specific modelingcultivation mapfloweringratio of red and far-red
Room
Auditorium - Screen 1

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