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http://dx.doi.org/10.5333/KGFS.2022.42.1.1

Yield Comparison Simulation between Seasonal Climatic Scenarios for Italian Ryegrass (Lolium Multiflorum Lam.) in Southern Coastal Regions of Korea  

Kim, Moonju (Institute of Animal Life Science, Kangwon National University)
Sung, Kyung Il (Department of Animal Life Science, Kangwon National University)
Publication Information
Journal of The Korean Society of Grassland and Forage Science / v.42, no.1, 2022 , pp. 1-9 More about this Journal
Abstract
This study was carried out to compare the DMY (dry matter yield) of IRG (Italian ryegrass) in the southern coastal regions of Korea due to seasonal climate scenarios such as the Kaul-Changma (late monsoon) in autumn, extreme winter cold, and drought in the next spring. The IRG data (n = 203) were collected from various Reports for Collaborative Research Program to Develop New Cultivars of Summer Crops in Jeju, 203 Namwon, and Yeungam from the Rural Development Administration - (en DASH). In order to define the seasonal climate scenarios, climate variables including temperature, humidity, wind, sunshine were used by collected from the Korean Meteorological Administration. The discriminant analysis based on 5% significance level was performed to distinguish normal and abnormal climate scenarios. Furthermore, the DMY comparison was simulated based on the information of sample distribution of IRG. As a result, in the southern coastal regions, only the impact of next spring drought on DMY of IRG was critical. Although the severe winter cold was clearly classified from the normal, there was no difference in DMY. Thus, the DMY comparison was simulated only for the next spring drought. Under the yield comparison simulation, DMY (kg/ha) in the normal and drought was 14,743.83 and 12,707.97 respectively. It implies that the expected damage caused by the spring drought was about 2,000 kg/ha. Furthermore, the predicted DMY of spring drought was wider and slower than that of normal, indicating on high variability. This study is meaningful in confirming the predictive DMY damage and its possibility by spring drought for IRG via statistical simulation considering seasonal climate scenarios.
Keywords
Abnormal climate; Dry matter yield; Italian ryegrass; Southern coastal region; Yield comparison simulation;
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