Abstract

This paper introduces the relationships between climate conditions and global scale soybean yields and their future projections until 2050. Using a combination of historical datasets and climate model projections, yield responses to temperature and precipitation change were discussed together with input of fertilizer. Future climate projection is based on downscale dataset from IPCC, A1 scenario. Datasets used in this study include spatial information but not yield data. To improve the accuracy of estimation, the specific vegetation types were used to obtain climate conditions on crop area. The relationships between soybean yield and climate conditions on crop area were conducted for soybean producing countries and future global soybean yield until 2050 are discussed.

Highlights

  • Economic development and population increase will result in shortage of food (Matsumura, 2011)

  • This paper introduces the relationships between climate conditions and global scale soybean yields and their future projections until 2050

  • This paper introduces the development of methodology and the relationships between yield and climate conditions on crop for soybean producing countries

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Summary

Introduction

Economic development and population increase will result in shortage of food (Matsumura, 2011). Russia announced that crop production in 2010 went down 26 % from previous year and stopped exporting crop due to extreme climate event These facts suggest that it is important to estimate the impact of changes in climatic condition on major crop yield such as rice, wheat, soybean, and maize. This paper introduces the development of methodology and the relationships between yield and climate conditions on crop for soybean producing countries. Data on national crop yields for 1961–2002 in the ten leading producers of wheat, rice and maize were combined with datasets on climate and crop locations to evaluate the empirical relationships between average temperature and the difference between daily maximum and minimum temperature and crop yields (David B, 2007). The comparison shows that the fluctuations of precipitation on crop area is less small compared with country averaged precipitation.

Datasets
Combining data sets
Developing downscaled projection data
Multiple regression analysis
Future projections of global soybean yield
Conclusion
Findings
99 Turkey t-value
Full Text
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