Modeling the Impacts of Climate Change on Yields of Various Korean Soybean Sprout Cultivars
Soybean sprout is an important food ingredient in East Asian cuisine. Soybean growth is highly sensitive to temperature and photoperiod. Thus, it is important to determine the optimal base temperature for an accurate yield prediction. The optimal base temperature can be varied by cultivars. In this...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/11/8/1590 |
| _version_ | 1797524960641548288 |
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| author | Chang Yong Yoon Sojung Kim Jaepil Cho Sumin Kim |
| author_facet | Chang Yong Yoon Sojung Kim Jaepil Cho Sumin Kim |
| author_sort | Chang Yong Yoon |
| collection | DOAJ |
| description | Soybean sprout is an important food ingredient in East Asian cuisine. Soybean growth is highly sensitive to temperature and photoperiod. Thus, it is important to determine the optimal base temperature for an accurate yield prediction. The optimal base temperature can be varied by cultivars. In this study, six soybean sprout cultivars that are commonly grown in Korea were planted in South Jeolla province, South Korea between 2003 and 2018. Data on phenology were collected from the field and used to determine the optimal base temperature for each cultivar. As a result, variations of optimal base temperatures of cultivars ranged from 0 °C to 15 °C. In simulation, three plant parameter sets, including Soy15, Soy6, and Soy0, were created. Soy15, Soy6, and Soy0 represented soybean cultivars with base temperatures of 15 °C, 6 °C, and 0 °C, respectively. In simulation results, the values of percent bias were under 15%, indicating that the Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) could reasonably simulate soybean yields. Among these three cultivars, Soy15 had the smallest yield, while Soy6 had the highest yield. In climate change scenarios (SSP245 and SSP585), both maximum and minimum temperatures were increased by 1–3.3 °C. With increasing temperatures in the future period, grain yields for all cultivars decreased. The yield reduction might be because the high temperature shortened the length of growth period of the soybeans. Among the three cultivars, Soy6 was a promising cultivar that could have a high yield under climate change scenarios. |
| first_indexed | 2024-03-10T09:05:00Z |
| format | Article |
| id | doaj.art-236ba1195b4c4be98ded94a7659dc171 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T09:05:00Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-236ba1195b4c4be98ded94a7659dc1712023-11-22T06:26:04ZengMDPI AGAgronomy2073-43952021-08-01118159010.3390/agronomy11081590Modeling the Impacts of Climate Change on Yields of Various Korean Soybean Sprout CultivarsChang Yong Yoon0Sojung Kim1Jaepil Cho2Sumin Kim3Crop Research Division, Jeollanamdo Agricultural Research and Extension Services, Naju 58213, KoreaDepartment of Industrial and Systems Engineering, Dongguk University-Seoul, Seoul 04620, KoreaConvergence Center for Watershed Management, Integrated Watershed Management Institute (IWMI), Seoul 16489, KoreaDepartment of Environmental Horticulture & Landscape Architecture, College of Life Science & Biotechnology, Dankook University, Cheonan-si 31116, KoreaSoybean sprout is an important food ingredient in East Asian cuisine. Soybean growth is highly sensitive to temperature and photoperiod. Thus, it is important to determine the optimal base temperature for an accurate yield prediction. The optimal base temperature can be varied by cultivars. In this study, six soybean sprout cultivars that are commonly grown in Korea were planted in South Jeolla province, South Korea between 2003 and 2018. Data on phenology were collected from the field and used to determine the optimal base temperature for each cultivar. As a result, variations of optimal base temperatures of cultivars ranged from 0 °C to 15 °C. In simulation, three plant parameter sets, including Soy15, Soy6, and Soy0, were created. Soy15, Soy6, and Soy0 represented soybean cultivars with base temperatures of 15 °C, 6 °C, and 0 °C, respectively. In simulation results, the values of percent bias were under 15%, indicating that the Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) could reasonably simulate soybean yields. Among these three cultivars, Soy15 had the smallest yield, while Soy6 had the highest yield. In climate change scenarios (SSP245 and SSP585), both maximum and minimum temperatures were increased by 1–3.3 °C. With increasing temperatures in the future period, grain yields for all cultivars decreased. The yield reduction might be because the high temperature shortened the length of growth period of the soybeans. Among the three cultivars, Soy6 was a promising cultivar that could have a high yield under climate change scenarios.https://www.mdpi.com/2073-4395/11/8/1590soybean sproutALMANACsimulationAsiaclimate changegrain yield |
| spellingShingle | Chang Yong Yoon Sojung Kim Jaepil Cho Sumin Kim Modeling the Impacts of Climate Change on Yields of Various Korean Soybean Sprout Cultivars Agronomy soybean sprout ALMANAC simulation Asia climate change grain yield |
| title | Modeling the Impacts of Climate Change on Yields of Various Korean Soybean Sprout Cultivars |
| title_full | Modeling the Impacts of Climate Change on Yields of Various Korean Soybean Sprout Cultivars |
| title_fullStr | Modeling the Impacts of Climate Change on Yields of Various Korean Soybean Sprout Cultivars |
| title_full_unstemmed | Modeling the Impacts of Climate Change on Yields of Various Korean Soybean Sprout Cultivars |
| title_short | Modeling the Impacts of Climate Change on Yields of Various Korean Soybean Sprout Cultivars |
| title_sort | modeling the impacts of climate change on yields of various korean soybean sprout cultivars |
| topic | soybean sprout ALMANAC simulation Asia climate change grain yield |
| url | https://www.mdpi.com/2073-4395/11/8/1590 |
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