Soybean Yield Losses Related to Drought Events in Brazil: Spatial–Temporal Trends over Five Decades and Management Strategies
Rodrigo Cornacini Ferreira,
Rubson Natal Ribeiro Sibaldelli,
Luis Guilherme Teixeira Crusiol (),
Norman Neumaier and
José Renato Bouças Farias
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Rodrigo Cornacini Ferreira: Meta Agribusiness, Londrina 86057-000, PR, Brazil
Rubson Natal Ribeiro Sibaldelli: Embrapa Soja (National Soybean Research Center–Brazilian Agricultural Research Corporation), Londrina 86001-970, PR, Brazil
Luis Guilherme Teixeira Crusiol: Embrapa Soja (National Soybean Research Center–Brazilian Agricultural Research Corporation), Londrina 86001-970, PR, Brazil
Norman Neumaier: Embrapa Soja (National Soybean Research Center–Brazilian Agricultural Research Corporation), Londrina 86001-970, PR, Brazil
José Renato Bouças Farias: Embrapa Soja (National Soybean Research Center–Brazilian Agricultural Research Corporation), Londrina 86001-970, PR, Brazil
Agriculture, 2024, vol. 14, issue 12, 1-30
Abstract:
By the end of the decade, the world population is expected to increase by nearly one billion people, posing challenges to meeting global food demand. In this scenario, soybean production is projected to increase by 18% within this decade. Despite being the largest soybean producer, responsible for over 40% of soybeans produced worldwide, drought events often impair Brazilian production. The goals of the present research were to quantify soybean yield losses related to drought in Brazil from 1973 to 2023 at national, state, and municipal levels and to assess the spatial distribution of losses across the production areas. The hypothesis investigated is that year-to-year variations in soybean yield are closely related to water availability, considering that crop management practices are constant from year to year, while increments in soybean yield across time (more than five years) relate tightly to better crop management practices and breeding improvements. Thus, quantifying year-to-year yield losses might demonstrate the effects of water availability on soybean yield. Yield data from the 1976/1977 to 2022/2023 crop seasons from the 26 states and the Federal District came from the National Supply Company, while the Brazilian Institute of Geography and Statistics supplied yield data for the 1973/1974 to 2020/2021 crop seasons from 1998 municipalities with more than 14 crop seasons. Soybean drought yield losses were calculated for each cropping season individually at the municipal, state, and national levels, based on the deviation in the observed yield to the corresponding maximum yield in the five-year window, considering that crop management practices and genetics represent a regular increment in soybean yield, which means that production practices improved over time and deviations from year to year are mainly related to drought occurrence. Annual soybean yield loss (expressed in tons, USD, and percentage), frequency of yield loss, and severity of yield loss were calculated at national, state, and municipal levels for each cropping season. The Standardized Precipitation Index (SPI), acquired from the Brazilian Weather Forecast and Climate Studies Center at the National Space Research Institute, was used as a qualitative indicator to corroborate the assessed soybean yield losses related to drought. The results demonstrate yield losses in more than 50% of crop seasons at the national level, with a similar frequency across the five decades, albeit with lower severities in the last 30 years. The Central–West region was more stable than the South region, with yield losses of up to 74%. In five decades, yield losses related to drought events stand at 11.65%, corresponding to 280 million tons or USD 152 billion (considering the average soybean price in 2022 at the Chicago Board of Trade). At the municipal level, analogous behavior was observed across time and space. The outcomes from the present research might subsidize public and corporative policies related to agricultural zoning, farm loan programs, crop insurance contracts, and food security, contributing to higher agricultural, environmental, economic, and social sustainability.
Keywords: soybean yield and production; growing regions; yield losses; dryness; standardized precipitation index; sustainability (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:14:y:2024:i:12:p:2144-:d:1529765
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