중국 동북지역에서 옥수수 유효적산온도의 시공간적 분포
Temporal and Spatial Distribution of Growing Degree Days for Maize in Northeast District of China
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BACKGROUND: The northeast district of China, especially Liaoning province, Jilin province, and Heilongjiang province, is one of the largest agricultural production regions in China. These regions play a significant role in ensuring food security. Accumulated temperature such as growing degree days (GDD) is an important environmental factor for plant growth and yield. Therefore, in this study, temporal and spatial distribution of GDD for maize was examined as a basis to estimate the growth and yield of maize in these regions. METHODS AND RESULTS: Meteorological date produced by NASA (MERRA-2) was used to estimate GDD of maize at this study sites. The GDD was calculated from sowing (May 1) to harvesting (Sep. 30). The average GDD of this region between 2010 and 2015 was 1323.0℃ day (595.3–1838.9). The spatial distribution of GDD showed a similar pattern during the different years surveyed. Double cropping for maize could be in only Liaoning province, northwestern Jilin province, and western and eastern Heilongjiang province where the GDD was over 1600℃day. However, The GDD in eastern Heilongjiang province was varied by year. CONCLUSION: The GDD of maize in northeast district of China was varied spatially, but similar among recent six years at the same region. This result can be used to predict growth stage and yield of maize at these regions.
Abstract
BACKGROUND: The northeast district of China, especially Liaoning province, Jilin province, and Heilongjiang province, is one of the largest agricultural production regions in China. These regions play a significant role in ensuring food security. Accumulated temperature such as growing degree days (GDD) is an important environmental factor for plant growth and yield. Therefore, in this study, temporal and spatial distribution of GDD for maize was examined as a basis to estimate the growth and yield of maize in these regions. METHODS AND RESULTS: Meteorological date produced by NASA (MERRA-2) was used to estimate GDD of maize at this study sites. The GDD was calculated from sowing (May 1) to harvesting (Sep. 30). The average GDD of this region between 2010 and 2015 was 1323.0℃ day (595.3–1838.9). The spatial distribution of GDD showed a similar pattern during the different years surveyed. Double cropping for maize could be in only Liaoning province, northwestern Jilin province, and western and eastern Heilongjiang province where the GDD was over 1600℃day. However, The GDD in eastern Heilongjiang province was varied by year. CONCLUSION: The GDD of maize in northeast district of China was varied spatially, but similar among recent six years at the same region. This result can be used to predict growth stage and yield of maize at these regions.
참고문헌 (10)
- Hou, P., "Temporal and spatial variation in accumulated temperature requirements of maize", Field Crop Research, 158, pp.55~64 (2014)
- Iannucci, A., "Effects of temperature and photoperiod on flowering time of forage legumes in a Mediterranean environment", Field Crops Research, 106(2), pp.156~162 (2008)
- 정명표, "중국 동북지역의 농업기후지대 구분", 한국농림기상학회지, 17(2), pp.102~107 (2015), 한국농림기상학회[DOI]
- Li, S. K., (2010), Science Press
- Liu, Y., "Contributions of climatic and crop varietal changes to crop production in the North China Plain, since 1980s", Global Change Biology, 16(8), pp.2287~2299 (2010)
- Liu, Y., "Phenological responses of maize to changes in environment when grown at different latitudes in China", Field Crops Research, 144, pp.192~199 (2013)
- McMaster, G. S., "Growing degree-days : one equation, two interpretations", Agricultural Forest Meteorology, 87(4), pp.291~300 (1997)
- Rienecker, M. M., "MERRA : NASA’s modern-era retrospective analysis for research and applications", Journal of Climate, 24(14), pp.3624~3648 (2011)
- Sacks, W. J., "Crop management and phenology trends in the U. S. Corn Belt : impacts on yields, evapotranspiration and energy balance", Agricultural Forest Meteorology, 151(7), pp.882~894 (2011)
- Zhang, L. W., "Spatio-temporal reconstruction of air temperature maps and their application to estimate rice growing season heat accumulation using multi-temporal MODIS data", Journal of Zhejiang University-Science B, 14(2), pp.144~161 (2013)