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http://dx.doi.org/10.5532/KJAFM.2018.20.4.277

Calibration of crop growth model CERES-MAIZE with yield trial data  

Kim, Junhwan (Division of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
Sang, Wangyu (Division of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
Shin, Pyeong (Division of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
Cho, Hyeounsuk (Division of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
Seo, Myungchul (Division of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.20, no.4, 2018 , pp. 277-283 More about this Journal
Abstract
The crop growth model has been widely used for climate change impact assessment. Crop growth model require genetic coefficients for simulating growth and yield. In order to determine the genetic coefficients, regional growth monitoring data or yield trial data of crops has been used to calibrate crop growth model. The aim of this study is to verify that yield trial data of corn is appropriate to calibrate genetic coefficients of CERES-MAIZE. Field experiment sites were Suwon, Jinju, Daegu and Changwon. The distance from the weather station to the experimental field were from 1.3km to 27km. Genetic coefficients calibrated by yield trial data showed good performance in silking day. The genetic coefficients associated with silking are determined only by temperature. In CERES-MAIZE model, precipitation or irrigation does not have a significant effect on phenology related genetic coefficients. Although the effective distance of the temperature could vary depending on the terrain, reliable genetic coefficients were obtained in this study even when a weather observation site was within a maximum of 27 km. Therefore, it is possible to estimate the genetic coefficients by yield trial data in study area. However, the yield-related genetic coefficients did not show good results. These results were caused by simulating the water stress without accurate information on irrigation or rainfall. The yield trial reports have not had accurate information on irrigation timing and volume. In order to obtain significant precipitation data, the distance between experimental field and weather station should be closer to that of the temperature measurement. However, the experimental fields in this study was not close enough to the weather station. Therefore, When determining the genetic coefficients of regional corn yield trial data, it may be appropriate to calibrate only genetic coefficients related to phenology.
Keywords
Crop model; Calibration; CERES-MAIZE; Yield trial data;
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