Publisher : The Korean Environmental Sciences Society
DOI : 10.5322/JESI.2015.24.11.1547
Title & Authors
Predicting Harvest Maturity of the 'Fuji' Apple at the Gunwi Province of the South Korea using DTS Phenology Model Choi, In-Tae; Shim, Kyo-Moon; Kim, Yong-Seok; Jung, Myung-Pyo; Yun, Kyung-Dahm; Kim, Soo-Hyung;
Fuji apple variety introduced in Japan has excellent storage quality and good taste so it is most commonly cultivated in the Korean Peninsula. Accurate prediction of harvest maturity allows farmers to more efficiently manage their farm, such as working time, fruit storage, market shipment and labor distribution so it is very important. This study was carried out to predict the harvest maturity of 'Fuji' apple using DTS (Days Transformed to Standard temperature) model based on the Arrhenius law in the Gunwi province of the South Korea. Input data are daily average temperature and apple harvest maturity. Predicted the harvest maturity of Fuji apple after estimating the optimal parameters by using the Nelder-Mead method. The differences of observed and predicted harvest maturity day are approximately 1 to 4 days and the RMSE is 2.9.
DTS model;Fuji;Harvest maturity;Phenology;
Aono Y., 1998, Climatic change in march temperature deduced from phenological record for flowering of cherry tree in Tokyo since the late 18th century, Bulletin of Osaka Prefecture University, Series B50, 11-19.
Aono Y., Kazui K., 2008, Phenological data series of cherry tree flowering in Kyoto, Japan, and its application to reconstruction of springtime temperatures since the 9thcentury, Int. J. Climatol., 28, 905-914.
Aono Y., Omoto Y., 1990, Estimation of blooming date for prunus yedoensis using DTS combined with chill-unit accumulations, J. Agr. Met., 45(4), 243-249.
Aono Y., Saito S., 2010, Clarifying springtime temperature reconstructions of the medieval period by gapfilling the cherry blossom phenological data series at Kyoto, Japan, Int. J. Biometeorol, 54, 211-219.
Honjo H., Fukui R., Aono Y., Sugiura T., 2006, The DTS accumulation model for prediction the flowering date of Japanese Pear Tree in Japan, Acta. Horticulture, 707, 151-158.
Hur, J. N., Ahn, J. B., Shim, K. M., 2014, The change of cherry first-flowering date over South Korea projected from downscaled IPCC AR5 simulation, Int. J. Climatol, 34, 2308-2319.
Hur, J. N., Ahn, J. B., 2015, The change of first-flowering date over South Korea projected from downscaled IPCC AR5 simulation: peach and pear, Int. J. Climatol, 35, 1926-1937.
Ono S., Konno T., 1999, Estimation of flowering date and temperature characteristics of fruit trees by DTS method, Japan Agricultural Reserach Quarterly, 33, 105-108.
RDA (Rural Development Administration), 2013, Apple, RDA, 18.
Stastics Korea, 2015, Korean statistical information service, http://kosis.kr.
Sugahara K., 2000, www application for pear fruit growth prediction, Proc. APAN2000, Beijing, 321-324.