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Academic Journal of Engineering and Technology Science, 2020, 3(1); doi: 10.25236/AJETS.2020.030107.

Analysis of Meteorological Factors Influencing Soybean Yield in Keshan County and Research on Meteorological Model of Yield

Author(s)

Xinying Wang, Li Zhang*

Corresponding Author:
Li Zhang
Affiliation(s)

College of Science, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
*Corresponding author e-mail:zhanglibynd@126.com

Abstract

The influence of meteorological factors on soybean yield during different growth periods was revealed by using correlation analysis based on soybean yield and daily meteorological data during the growth period in Keshan County, Heilongjiang Province from 1986 to 2015. The results showed that the average temperature, rainfall and sunshine hours of each month during soybean growth period from 1986 to 2015 showed upside-down trend, and the minimum and maximum values all appeared in different months; the hours of sunshine in June and August, namely light of the flower bud differentiation stage and pod setting stage in soybean growth period, its negative effects on soybean yield reached extremely significant levels (p<0.01) and significant levels (p <0.05), respectively. And the moving average simulation method and multiple linear regression method were used to separate the actual soybean yield into trend yield and meteorological yield; the meteorological yield prediction model was established in according with temperature, rainfall, sunshine hours and other meteorological factors, the results showed that the rainfall had a greater impact and it was positive, the next were average temperature and sunshine hours, both of which were negative effect. Finally, the prediction accuracy of the meteorological yield prediction model was analyzed.

Keywords

yield; meteorological factor; meteorological yield model

Cite This Paper

Xinying Wang, Li Zhang. Analysis of Meteorological Factors Influencing Soybean Yield in Keshan County and Research on Meteorological Model of Yield. Academic Journal of Engineering and Technology Science (2020) Vol. 3 Issue 1: 46-54. https://doi.org/10.25236/AJETS.2020.030107.

References

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