• Journal of The Korean Society of Grassland and Forage Science
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• v.43 no.3
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• pp.190-198
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• 2023

This study was conducted to calculate the damage of Italian ryegrass (IRG) by abnormal climate using machine learning and present the damage through the map. The IRG data collected 1,384. The climate data was collected from the Korea Meteorological Administration Meteorological data open portal.The machine learning model called xDeepFM was used to detect IRG damage. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The calculation of damage was the difference between the Dry matter yield (DMY)_normal and DMY_abnormal. The normal climate was set as the 40-year of climate data according to the year of IRG data (1986~2020). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization (WMO) standard. The DMY_normal was ranged from 5,678 to 15,188 kg/ha. The damage of IRG differed according to region and level of abnormal climate with abnormal temperature, precipitation, and wind speed from -1,380 to 1,176, -3 to 2,465, and -830 to 962 kg/ha, respectively. The maximum damage was 1,176 kg/ha when the abnormal temperature was -2 level (+1.04℃), 2,465 kg/ha when the abnormal precipitation was all level and 962 kg/ha when the abnormal wind speed was -2 level (+1.60 ㎧). The damage calculated through the WMO method was presented as an map using QGIS. There was some blank area because there was no climate data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

• Journal of The Korean Society of Grassland and Forage Science
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• v.42 no.1
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• pp.1-9
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• 2022

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.

• Journal of The Korean Society of Grassland and Forage Science
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• v.31 no.4
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• pp.389-394
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• 2011

This experiment was carried out to find effective weed control method of henbit deadnettle ($Lamium$ $amplexicaule$ L.) on cultivating field of Italian ryegrass ($Lolium$ $multiflorum$ Lam) using herbicide in Grassland and Forages Division, National Institute of Animal Science, RDA, Cheonan from 2008 to 2009. When Onehof was treated two times of spray, weed control ratio was most high as 90%, but this method can not be used because of much damage to Italian ryegrass. When MCPP was treated two times of spray, weed control ratio was high as 82%, and damage to Italian ryegrass was very insignificant. Especially, when the spray of MCPP was treated two times, dry matter yield of Italian ryegrass was 11,427 kg/ha, but that of non treatment was 1,658 kg/ha. That is to say, forage harvest was impossible in non treatment field. According to these results, to control henbit deadnettle on cultivating field of Italian ryegrass using herbicide, you need to treat with two times of spray of MCPP in mid-March. If you do, you can get regular harvest as much as 11,427 kg/ha.

• Journal of The Korean Society of Grassland and Forage Science
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• v.24 no.4
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• pp.341-346
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• 2004

To determine lethal temperature of birdsfoot trefoil(BFT) and italian ryegrass(IRG) at heat-stressed conditions, seedlings grown in a small pots fur 4 weeks were subjected to different temperature regimes of heat treatment. No apparent damage was observed BFT and IRG were treated at 45, 50 or $60^{\circ}C$ for 1 h. And also heat treatments at 60, 65 and $70^{\circ}C$ for 1 h, both of them were withered and showed damage symptom on their leaves but it was not lethal conditions for the whole plants. By contrast, most of plants were prominently withered within one day after heat treatment at $80^{\circ}C/60min$. When BFT was exposed to $80^{\circ}C/60$ min, they were died within 6 days but there was found that new shoots were regenerated from the plants that had been treated at $80^{\circ}C$ within 55 min. IRC was also died within 2 days that exposed to $80^{\circ}C/20$ min but there was found that new shoots were regenerated from the plants that had been treated at $80^{\circ}C$ within 15 min. These results indicate that heat killing temperatures of BFT and IRG plants are $80^{\circ}C/60$ min an $80^{\circ}C/20$ min respectively. Simple viability assay system established in this study will be useful for selection and characterization of heat-tolerant transgenic BFT and IRG plants.