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

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 so...

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Published inAgronomy (Basel) Vol. 13; no. 4; p. 1180
Main Authors Pham, Quang V., Nguyen, Tanh T. N., Vo, Tuyen T. X., Le, Phuoc H., Nguyen, Xuan T. T., Duong, Nha V., Le, Ca T. S.
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2023
Subjects
Agricultural production
Artificial intelligence
Autumn
Biomass
Carbon dioxide
Carbon dioxide concentration
Climate change
Climate effects
Crop growth
Crop yield
Crops
Drought
Environmental impact
Experiments
Food
Heat
High temperature
Loam soils
modeling
Radiation
Rainfall
Senescence
SIMPLE
soybean biomass and yield
Soybeans
Spring
Spring (season)
Summer
Temperature
Water shortages
Winter
Brazil
Argentina
Vietnam
United States > US
China
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Summary: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.
ISSN:2073-4395
2073-4395
DOI:10.3390/agronomy13041180