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http://dx.doi.org/10.5532/KJAFM.2021.23.1.1

A Correlation between Growth Factors and Meteorological Factors by Growing Season of Onion  

Kim, Jaehwi (Department of Agricultural Outlook, Korea Rural Economic Institute)
Choi, Seong-cheon (Department of Agricultural Outlook, Korea Rural Economic Institute)
Kim, Junki (Department of Agricultural Outlook, Korea Rural Economic Institute)
Seo, Hong-Seok (Department of Agricultural Outlook, Korea Rural Economic Institute)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.23, no.1, 2021 , pp. 1-14 More about this Journal
Abstract
Onions are a representative produce that requires supply-demand control measures due to large fluctuations in production and price by growing season. Accurate forecasts of crop production can improve the effectiveness of such measures. However, it is challenging to obtain accurate estimates of crop productivity for onions because they are mainly grown on the open fields. The objective of this study was to perform the empirical analysis of the relationship between factors for crop growth and meteorological conditions, which can support the development of models to predict crop growth and production. The growth survey data were collected from open fields. The survey data included the weight of above ground organs as well as that of the bulbs. The estimates of meteorological data were also compiled for the given fields. Correlation analysis between these factors was performed. The random forest was also used to compare the importance of the meteorological factors by the growth stage. Our results indicated that insolation in early March had a positive effect on the growth of the above-ground. There was a negative correlation between precipitation and the growth of the above-ground at the end of March although it has been suggested that drought can deter the growth of onion. The negative effects of precipitation and daylight hours on the growth of the above-ground and under-ground were significant during the harvest period. These meteorological factors identified by growth stage can be used to develop models for onion growth and production forecast.
Keywords
Correlation analysis; Variable importance; Onion; Above-ground growth factor; Bulb weight; Meteorological factor; Random forest;
Citations & Related Records
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