Applying the SIMPLE Crop Model to Assess Soybean (Glicine max. (L.) Merr.) Biomass and Yield in Tropical Climate Variation

Author:

Pham Quang V.12,Nguyen Tanh T. N.234ORCID,Vo Tuyen T. X.12ORCID,Le Phuoc H.12ORCID,Nguyen Xuan T. T.12,Duong Nha V.5,Le Ca T. S.23

Affiliation:

1. Faculty of Agriculture and Natural Resources, An Giang University, 18 Ung Van Khiem St., Long Xuyen City 90000, An Giang Province, Vietnam

2. Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc District, Ho Chi Minh City 71300, Vietnam

3. Faculty of Engineering, Technology and Environment, An Giang University, 18 Ung Van Khiem St., Long Xuyen City 90000, An Giang Province, Vietnam

4. Climate Change Institute, An Giang University, 18 Ung Van Khiem St., Long Xuyen City 90000, An Giang Province, Vietnam

5. Faculty of Agriculture and Rural Development, Kien Giang University, 320A, 61 National Highway, Minh Luong Town, Chau Thanh District 91700, Kien Giang Province, Vietnam

Abstract

Soybean Glicine max. (L.) Merr. is one of the most major food crops. In some areas, its responses to different climates have not been well studied, particularly in tropical countries where other crops are more dominant. Accordingly, we adopted the SIMPLE crop model to investigate the responses of soybeans to the climate. We conducted two experiments on crop growth in the Summer–Autumn season of 2020, and Winter–Spring 2021 in the Hoa Binh Commune, in the Mekong Delta, Vietnam, which is an area that is vulnerable to climate change impacts, to obtain data for our model input and assessment. The assessment was concerned with the effects of climate variables (temperature and CO2) on soybean biomass and yield. The results indicated that the SIMPLE model performed well in simulating soybean yields, with an RRMSE of 9–10% overall. The drought stress results showed a negative impact on the growth and development of soybeans, although drought stress due to less rainfall seemed more serious in Spring–Winter 2021 than in Summer–Autumn 2020. This study figured out the trend that higher temperatures can shorten biomass development and lead to yield reduction. In addition, soybeans grown under high CO2 concentrations of 600 ppm gave a higher biomass and a greater yield than in the case with 350 ppm. In conclusion, climate variance can affect the soybean yield, which can be well investigated using the SIMPLE model.

Funder

Vietnam National University—HoChiMinh City

Publisher

MDPI AG

Subject

Agronomy and Crop Science

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