Assessment of Productivity and Vulnerability of Climate Impacts of Forage Corn (&lt;i&gt;Kwangpyeongok&lt;/i&gt; ) Due to Climate Change in Central Korea

Chung, Sang Uk; Sung, Sangkyung; Zhang, Qi-Man; Jung, Jin Kyo; Oh, Mirae; Yun, Yeong Sik; Seong, Hye Jin; Moon, Sang Ho

doi:10.5333/kgfs.2019.39.2.105

Cited by 5 publications

(6 citation statements)

References 8 publications

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“…Figure 1 shows changes in temperature and precipitation in the Korean Peninsula according to the RCP scenario [4]. These abnormal temperatures are anticipated to significantly affect the agricultural sector, including forage crops [5]. Consequently, the incidence of weather-related disasters and damage due to abnormal weather is on the rise.…”

Section: Introductionmentioning

confidence: 99%

A Study on Analyses of the Production Data of Feed Crops and Vulnerability to Climate Impacts According to Climate Change in Republic of Korea

Shin,

Hwang,

Kim

et al. 2023

Applied Sciences

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According to the climate change scenario, climate change in the Korean Peninsula is expected to worsen due to extreme temperatures, with effects such as rising average temperatures, heat waves, and droughts. In Republic of Korea, which relies on foreign countries for the supply of forage crops, a decrease in the productivity of forage crops is expected to cause increased damage to the domestic livestock industry. In this paper, to solve the issue of climate vulnerability for forage crops, we performed a study to predict the productivity of forage crops in relation to climate change. We surveyed and compiled not only forage crop production data from various regions, but also experimental cultivation production data over several years from reports of the Korea Institute of Animal Science and Technology. Then, we crawled related climate data from the Korea Meteorological Administration. Therefore, we were able to construct a basic database for forage crop production data and related climate data. Using the database, a production prediction model was implemented, applying a multivariate regression analysis and deep learning regression. The key factors were determined as a result of analyzing the changes in forage crop production due to climate change. Using the prediction model, it could be possible to forecast the shifting locations of suitable cultivation areas. As a result of our study, we were able to construct electromagnetic climate maps for forage crops in Republic of Korea. It can be used to present region-specific agricultural insights and guidelines for cultivation technology for forage crops against climate change.

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Section: Introductionmentioning

confidence: 99%

A Study on Analyses of the Production Data of Feed Crops and Vulnerability to Climate Impacts According to Climate Change in Republic of Korea

Shin,

Hwang,

Kim

et al. 2023

Applied Sciences

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“…The ten largest maize producers accounted for 79.4% of the total world production in 2018. These are the USA, China, Brazil, Argentina, Ukraine, India, Mexico, Indonesia, South Africa, Romania (Barry et al, 2017;Chung et al, 2019;Venkatesha et al, 2019). The share of the leading 30 producers of maize totals 92.4%.…”

Section: Introductionmentioning

confidence: 99%

“…The share of the leading 30 producers of maize totals 92.4%. In 2018 this list included Canada, Russia, Nigeria, Hungary, Italy, Serbia, Philippines, Ethiopia, Tanzania, Turkey, Egypt, Vietnam, Germany, Thailand, Pakistan, Spain, Poland, Malawi, Kenia and Zambia (Chung et al, 2019). The USA is a key producer and exporter of maize in the world.…”

Section: Introductionmentioning

confidence: 99%

“…The phase transition of economic performance was positively affected by the long-term temperature change in combination with the trigger effect of short-term precipitation changes (Ismagilov et al, 2019). From a more macroeconomic perspective, the climate movement for macroeconomic cycles has been mitigated by larger and slower processes such as social memory, spatial displacement of key economic areas, and sociotechnological progress (Chung et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…To ensure a sufficiently high yield under variable weather conditions, it is recommended to grow several hybrids in each farm, being different in several properties (Barry et al, 2017;Chung et al, 2019;Emmanuel and Mutimura, 2012). The choice of varieties suitable for cultivation in this area, the correct selection and preparation of seed material are of great importance for the Middle Cis-Urals with its sharp differences in soil and climatic conditions (Akinchin and Fedorov, 2018;Chavas and Mitchell, 2018;Ngaboyisonga et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Productivity of New Maize Hybrids in Conditions of the Urals

Ismagilov¹,

Sotchenko²,

Akhiyarov³

et al. 2020

PTQ

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The research aimed to identify the most productive hybrids selected by the All-Russian Research Institute of Maize to cultivate by the cereal seed technology in the natural conditions of the Middle Cis- Urals. Methodology. Maize was cultivated for seeds and green fodder for farm animals in the conditions of the Middle Cis-Urals. The maize green mass, consisting mainly of stems and leaves, usually contains up to 88-90% water. Silage being prepared for it has less dry matter and protein. Such fodder has low nutritional value and poor return from livestock products. The most high quality and nutritious feed can be received from maize seeds or its above-ground mass with seeds of milky-wax and wax ripeness. To select early-maturing hybrids with high nutritional value is the primary concern for the studied area. Results. The results demonstrate that the productivity of maize hybrids ranges from 2.50 to 6.76 t/ha depending on soil and climatic conditions. When maize hybrids are grown by seed technology, the above-ground mass of the studied crops is 30.68-68.80 t/ha. Conclusions. It is necessary to select earlier ripening and highly productive hybrids to increase the quality and nutrition of corn feed. The recommended hybrids for grain production are Ural 150 (5,45 t/ha), Baikal (5,38 t/ha) and Mashuk 170 MV (4,98 t/ha); K-170 (56,7 t/ha), Shihan (55,67 t/ha) and Mashuk 170 MV (54,99 t/ha) that provided a higher output of the green mass at milky-wax ripeness of grain are best for silage production. The resulting data make it possible to select maize hybrids with high yields and nutritional value for farms with similar soil and climate conditions and to develop diets for highly productive dairy and beef cattle.

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Identification of Major Climate Change Impact Areas Based on a Network Analysis and Review of the Corresponding Laws for Adaptation

Kim¹

2022

ksccr

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Assessment of Productivity and Vulnerability of Climate Impacts of Forage Corn (<i>Kwangpyeongok</i> ) Due to Climate Change in Central Korea

Cited by 5 publications

References 8 publications

A Study on Analyses of the Production Data of Feed Crops and Vulnerability to Climate Impacts According to Climate Change in Republic of Korea

A Study on Analyses of the Production Data of Feed Crops and Vulnerability to Climate Impacts According to Climate Change in Republic of Korea

Productivity of New Maize Hybrids in Conditions of the Urals

Identification of Major Climate Change Impact Areas Based on a Network Analysis and Review of the Corresponding Laws for Adaptation

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