DOI QR코드

DOI QR Code

A Study on the Growth Characteristics and Productivity of Different Corn Cultivars at Different Environmental Locations in South Korea

  • Received : 2023.09.18
  • Accepted : 2023.09.26
  • Published : 2023.09.30

Abstract

It is widely known that forage corn is one of the most important crops in the production of silage and green chops during the summer months. In this study, the characteristics and the productivity of Kwangpyeongok, AGR 41, and Nero IT corn cultivars were evaluated in the regions of Jeju and Cheonan, Korea between 2021 and 2022. In each year, different corn cultivars were sown in different parts of the country on April 7 in Jeju and May 3 in Cheonan. The yield of three cultivars, Kwangpyeongok, AGR 41, and Nero IT were measured at the yellow-ripening stage, including the leaves and stems (Stover) and corn grain. Kwangpyeongok stover and total dry matter (DM) yields were slightly higher in Cheonan than in Jeju over the past two years. The quantity of corn cultivated in all cultivated areas was similar. The average yield of AGR 41, corn quantity and total DM were slightly higher in Jeju than in Cheonan. In terms of stover yield, and total dry matter content of the Nero IT cultivar cultivated in Jeju had a slightly higher yield than the cultivar cultivated in Cheonan. Based on this study, all cultivars can show some variations but not too much in terms of growth productivity and distinct characteristics depending on their location. Overall, AGR 41, and Nero IT cultivars in Jeju exhibit slightly higher levels of productivity than the same cultivars in Cheonan.

Keywords

Acknowledgement

This research was supported by the "Damage assessment in forages and development of cultivation technology for their damage reduction according to extreme weather (PJ01499601)" of National Institute of Animal Science, Rural Development Administration, Republic of Korea.

References

  1. Ben-Asher, J., Garcia Y Garcia, A. and Hoogenboom, G. 2008. Effect of high temperature on photosynthesis and transpiration of sweet corn (Zea mays L. var. rugosa). Photosynthetica. 46:595-603. https://doi.org/10.1007/s11099-008-0100-2
  2. Choi, J., Lee, O., Jang, J., Jang, S. and Kim, S. 2019. Future intensity-depth-frequency curves estimation in Korea under representative concentration pathway scenarios of Fifth assessment report using scale-invariance method. International Journal of Climatology. 39:887-900. https://doi.org/10.1002/joc.5850
  3. Dhakhwa, G.B. and Campbell, C.L. 1998. Potential effects of differential day-night warming in global climate change on crop production. Climate Change. 40:647-667. https://doi.org/10.1023/A:1005339800665
  4. FAO. 2016. The impact of disasters on agriculture: Addressing the information gap. Rome. 19.
  5. FAO. 2020. Cereal markets to remain well supplied in 2020/21. http://www.fao.org/worldfoodsituation/csdb/en/
  6. Gong, M., Chen, S.N., Song, Y.Q. and Li, Z.G. 1997. Effect of calcium and calmodulin on intrinsic heat tolerance in relation to antioxidant systems in maize seedlings. Functional Plant Biology. 24:371-379. https://doi.org/10.1071/PP96118
  7. Government Republic of Korea. 2020. Government Republic of Korea, 2020. 2050 carbon neutral strategy of the Republic of Korea. Towards a sustainable and green society. https://unfccc.int/sites/default/files/resource/LTS1_RKorea.pdf
  8. Jung, I.W., Bae, D.H. and Kim, G. 2011. Recent trends of mean and extreme precipitation in Korea. International Journal of Climatology. 31:359-370. https://doi.org/10.1002/joc.2068
  9. KMA (Korea Meteorological Administration). 2020. National typhoon center. Jeju, Korea. p. 7 Korea Meteorological Administration, 2020 Korea Meteorological Administration Korean Climate Change Assessment Report 2020, KMA, Seoul .
  10. Mumm, R.H., Goldsmith, P.D., Rausch, K.D. and Stein, H.H. 2014. Land usage attributed to corn ethanol production in the United States: Sensitivity to technological advances in corn grain yield, ethanol conversion, and co-product utilization. Biotechnology Biofuels. 7:61.
  11. OECD/FAO. 2020. OECD-FAO agricultural outlook 2020-2029. OECD Publishing.
  12. Oh, K.Y., Lee, M.J. and Jeon, S.W. 2017. Development of the Korean climate change vulnerability assessment tool (VESTAP)-Centered on health vulnerability to heat waves. Sustainability. 9:1103.
  13. Peichl, M., Thober, S., Samaniego, L., Hansjurgens, B. and Marx, A. 2019. Climate impacts on long-term silage maize yield in Germany. Scientific Reports. 9:7674.
  14. Peng, J.L., Kim, M., Kim, Y.J., Jo, H.H., Ghassemi, N.J., Lee, B.H., Ji, D.H., Ji, Y.K Oh, S.M., Kim, B.W., Kim, K.D., So, M.J., Park, H.S. and Sung, K.I. 2015. Detecting the climate factors related to dry matter yield of whole crop maize. Korean Journal of Agricultural and Forest Meteorology. 17:261-269. https://doi.org/10.5532/KJAFM.2015.17.3.261
  15. RDA (Rural Development Administration). 2012. Analysis standard for research in agricultural science and technology. RDA, Suwon, Korea.
  16. Revilla, P., Alves, M.L., Andelkovic, V., Balconi, C., Dinis, I., Mendes-Moreira, P., Redaelli, R., Ruiz de Galarreta, J.I., Vaz Patto, M.C., Zilic, S. and Malvar, R.A. 2022. Traditional foods from Maize (Zea mays L.) in Europe. Frontiers in Nutrition. 8:683399.
  17. Sang Uk, C., Si Heung, S., Qi-Man, Z., Jeong Sung, J., Mirae, O., Yeong Sik, Y., Hye Jin, S. and Sang Ho, M. 2019. Assessment of productivity and vulnerability of climate impacts of forage corn (kwangpyeongok) due to climate change in Central Korea. Journal of the Korean Society of Grassland and Forage Science. 39(2):105-113. https://doi.org/10.5333/KGFS.2019.39.2.105
  18. Son, B.Y., Kim, J.T., Song, S.Y., Baek, S.B., Kim, C.K. and Kim, J.D. 2009. Comparison of yield and forage quality of silage corns of different planting dates. Journal of the Korean Society of Grassland and Forage Science. 29:179-186. https://doi.org/10.5333/KGFS.2009.29.3.179
  19. Sung, J.H.,Chung, E.S. and Shahid, S. 2018. Reliability-resiliency- vulnerability approach for drought analysis in South Korea using 28 GCMs. Sustainability. 10:3043.
  20. Tigchelaar, M., Battisti, D.S., Naylor, R.L. and Ray, D.K. 2018. Future warming increases probability of globally synchronized maize production shocks. Proceedings of the National Academy of Sciences USA. 115:6644-6649. https://doi.org/10.1073/pnas.1718031115
  21. Tilden Wayne Perry, P.A.S. 1988. Corn as a livestock feed. In: G.F. Sprague and J.W. Dudley (Eds.), Corn and corn improvement. John Wiley & Sons. doi:10.2134/agronmonogr18.3ed.c16
  22. Van Doi, M. and Kim, J. 2020. Projections on climate internal variability and climatological mean at fine scales over South Korea. Stochastic Environmental Research and Risk Assessment. 34:1037-1058. https://doi.org/10.1007/s00477-020-01807-y
  23. Zampieri, M., Ceglar, A., Dentener, F., Dosio, A., Naumann, G., Van den Berg, M. and Toreti, A. 2019. When will current climate extremes affecting maize production become the norm? Earth's Future. 7:113-122. https://doi.org/10.1029/2018EF000995