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http://dx.doi.org/10.5532/KJAFM.2020.22.3.183

Analysis of Effect of Environment on Growth and Yield of Autumn Kimchi Cabbage in Jeonnam Province using Big Data  

Wi, Seung Hwan (Vegetable Research Division, National Institute of Horticultural and Herbal Science, RDA)
Lee, Hee Ju (Vegetable Research Division, National Institute of Horticultural and Herbal Science, RDA)
Yu, In Ho (Vegetable Research Division, National Institute of Horticultural and Herbal Science, RDA)
Jang, YoonAh (Vegetable Research Division, National Institute of Horticultural and Herbal Science, RDA)
Yeo, Kyung-Hwan (Vegetable Research Division, National Institute of Horticultural and Herbal Science, RDA)
An, Sewoong (Vegetable Research Division, National Institute of Horticultural and Herbal Science, RDA)
Lee, Jin Hyoung (Vegetable Research Division, National Institute of Horticultural and Herbal Science, RDA)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.22, no.3, 2020 , pp. 183-193 More about this Journal
Abstract
This study was conducted to evaluate the effect of environment factors on the growth of autumn season cultivation of Kimchi cabbage using the big data in terms of public open data(weather, soil information, and growth of crop, etc.). The growth data and the environment data such as temperature, daylength, and rainfall from 2010 to 2019 were collected. As a result of composing the correlation matrix, the height and leaf number showed high correlation in growing degree days(GDDs) and daylength, and the yield showed negative correlation in growing degree days and the concentration of clay. GDDs and daylength explained about 89% and 84% of variation in height, respectively. These two environmental factors also explained about 85% and 79% of variation in leaf numbers, respectively. In contrast, the coefficient of determination was low for yield when GDDs and concentration of clay was used. The outcome of regional statistical analysis indicated that relationship between yield and sum of sand and silt were high in Haenam and Jindo areas. Hierarchical cluster analysis, which was performed to verify the association of yield, GDDs, and concentration of clay, showed that Haenam and Jindo were clustered together. Although GDDs and yield vary by year and region, and there are regions with similar concentration of clays, observation data are grouped as the result. These suggests that GDDs and soil texture are expected to be related to yield. The cluster analysis results can be used for further data analysis and agricultural policy establishment.
Keywords
Autumn Kimchi cabbage; Big data; Growth; Environment;
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