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Article

Influence of Climate Variability on Soybean Yield in MATOPIBA, Brazil

1
Programa de Pós Graduação em Ciências Climáticas, Universidade Federal do Rio Grande do Norte (UFRN), Natal 59078-970, Brazil
2
Instituto Federal de Educação, Ciência e Tecnologia do Piauí (IFPI), Campus Floriano, Floriano, Piauí 64800-000, Brazil
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Departamento de Ciências Atmosféricas e Climáticas, Universidade Federal do Rio Grande do Norte, Natal 59078-970, Brazil
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COSTEL LETG, UMR 6554 CNRS, University of Rennes 2, 35000 Rennes, Bretagne, France
5
Department of Statistics, Federal University of Piauí, Teresina, Piauí 64049-550, Brazil
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(10), 1130; https://doi.org/10.3390/atmos11101130
Received: 18 August 2020 / Revised: 3 September 2020 / Accepted: 21 September 2020 / Published: 21 October 2020
(This article belongs to the Section Climatology)
The objective of this study was to analyze the influence of large-scale atmospheric–oceanic mechanisms (El Niño–Southern Oscillation—ENSO and the inter-hemispheric thermal gradient of the Tropical Atlantic) on the spatial–temporal variability of soy yield in MATOPIBA. The following, available in the literature, were used: (i) daily meteorological data from 1980 to 2013 (Xavier et al., 2016); (ii) (chemical, physical, and hydric) properties of the predominant soil class in the area of interest, available at the World Inventory of Soil Emission Potentials platform; (iii) genetic coefficients of soybean cultivar with Relative Maturity Group adapted to the conditions of the region. The simulations were performed using the CROPGRO-Soybean culture model of the Decision Support System for Agrotechnology Transfer (DSSAT) system, considering sowing dates between the months of October and December of 33 agricultural years, as well as for three meteorological scenarios (climatology, favorable-wet, and unfavorable-dry). Results showed that the different climate scenarios can alter the spatial patterns of agricultural risk. In the favorable-wet scenario, there was a greater probability of an increase in yield and a greater favorable window for sowing soybean, while in the unfavorable-dry scenario these values were lower. However, considering the unfavorable-dry scenario, in some areas the reduction in yield losses will depend on the chosen planting date. View Full-Text
Keywords: ENSO; tropical Atlantic; SST dipole; agrometeorology ENSO; tropical Atlantic; SST dipole; agrometeorology
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MDPI and ACS Style

Reis, L.; Santos e Silva, C.M.; Bezerra, B.; Mutti, P.; Spyrides, M.H.; Silva, P.; Magalhães, T.; Ferreira, R.; Rodrigues, D.; Andrade, L. Influence of Climate Variability on Soybean Yield in MATOPIBA, Brazil. Atmosphere 2020, 11, 1130. https://doi.org/10.3390/atmos11101130

AMA Style

Reis L, Santos e Silva CM, Bezerra B, Mutti P, Spyrides MH, Silva P, Magalhães T, Ferreira R, Rodrigues D, Andrade L. Influence of Climate Variability on Soybean Yield in MATOPIBA, Brazil. Atmosphere. 2020; 11(10):1130. https://doi.org/10.3390/atmos11101130

Chicago/Turabian Style

Reis, Layara, Cláudio M. Santos e Silva, Bergson Bezerra, Pedro Mutti, Maria H. Spyrides, Pollyanne Silva, Thaynar Magalhães, Rosaria Ferreira, Daniele Rodrigues, and Lara Andrade. 2020. "Influence of Climate Variability on Soybean Yield in MATOPIBA, Brazil" Atmosphere 11, no. 10: 1130. https://doi.org/10.3390/atmos11101130

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