Soybean yield in the Matopiba region under climate changes

Silva, Vicente de Paulo Rodrigues da; Silva, Roberta A. e; Maciel, Girlene Figueiredo; Souza, Ênio Pereira de; Silva, Madson Tavares; Holanda, Romildo Morant de

doi:10.1590/1807-1929/agriambi.v24n1p8-14

Cited by 11 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In these scenarios, the water can be used for irrigation, a potential management tool to improve crop yield and reduce climate change impacts (Battisti et al, 2018a). Previous studies for MATOPIBA did not evaluate irrigation as an alternative management to reduce climate risk under future climates (da Silva et al, 2020(da Silva et al, , 2021. Irrigation management can be used to reduce the agricultural production risk (Woznicki et al, 2015;Justino et al, 2019), mainly in the future period 2041-2070 under both RCP 2.6 (optimistic) and 8.5 (pessimist) in current and new growing areas, as east border and region of lower altitude, both with low growing intensity.…”

Section: Discussionmentioning

confidence: 99%

“…The future climate scenarios can help to identify potential areas for production (Lu et al, 2021), physiological traits (Battisti et al 2017a), and crop management (Liu and Dai, 2020) to mitigate climate change impacts over the crops. In Brazil, studies involving climate change and soybean suggested impacts for most soybean production regions (Do Rio et al, 2016;Battisti et al, 2017a;Hampf et al, 2020;Zilli et al, 2020), but with a limitation for MATOPIBA (Pires et al, 2016;da Silva et al, 2020da Silva et al, , 2021. In relation to these study, our study improved the simulations, including thin resolution of weather data (108 points), general crop management, three maturity groups, two sowing dates and three soil types, applied to a crop simulation model properly calibrated for the region (Teixeira et al, 2019;Sampaio et al, 2021).…”

Section: Introductionmentioning

confidence: 98%

See 1 more Smart Citation

Climate change impacts on rainfed and irrigated soybean yield in Brazil’s new agricultural frontier

Fernandes

Melo

Elli

et al. 2021

Theor Appl Climatol

View full text Add to dashboard Cite

Climate is one of the main limiting factors for agricultural productivity, where climate change may increase the risk for food production. Based on that, the aim of this study was to evaluate the impacts of climate change on rainfed and irrigated soybean yield in the MATOPIBA region, the new agricultural frontier in Brazil. The DSSAT CSM-CROPGRO-Soybean was used to simulate rainfed and irrigated yield using local soils, sowing dates, and maturity groups. The simulations included the baseline , and two future scenarios (2011-2040 and 2041-2070) for two representative concentration pathways (RCP 2.6 and 8.5). The future climate scenarios were obtained from global climate models (HadGEM2-ES and CSIRO mk3-6-0). The baseline showed a median yield of 3907 kg ha −1 across the region, a value that increased to 4006 kg ha −1 in the RCP 8.5 in 2011-2040. For the 2041-2070 period, RCPs 2.6 and 8.5 had a yield reduction to 3686 and 2388 kg ha −1 , respectively. The average yield reduction was higher than 23% under RCP 8.5 , reaching more than 53% in some areas. The yield impact in future climate scenarios was related to rainfall reduction by 300-400 mm cycle −1 , and temperature increased above 3 °C. The irrigation showed potential to offset negative climate change impacts, where yield gain was 2400 kg ha −1 under RCP 8.5. The future climate impact can be reduced by moving soybean crops preferentially to areas of higher altitude, with lower air temperature associated with irrigation. Further studies could explore potential adaptations related with physiological traits and crop management.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Climate change impacts on rainfed and irrigated soybean yield in Brazil’s new agricultural frontier

Fernandes

Melo

Elli

et al. 2021

Theor Appl Climatol

View full text Add to dashboard Cite

show abstract

“…Os resultados confirmam o impacto da produção de grãos da região do MATOPIBA, que envolvem os estados do Maranhão, Tocantins, Piauí e Bahia, dos quais três se encontram na Região Nordeste. O MATOPIBA é responsável por cerca de 12,8% da produção nacional e mostra o avanço das culturas de grãos em busca de terras mais baratas, principalmente milho e soja (Silva et al 2019). A ausência de investimentos públicos faz com que a Iniciativa Privada se organize para viabilizar o escoamento da produção e para isso investe em infraestrutura de armazenagem.…”

Section: Região Nordesteunclassified

Análise do relacionamento entre grãos armazenados e categoria de gestão de sistemas de armazenagem no Brasil

NETO

Ivale²,

Duarte³

et al. 2022

RSD

View full text Add to dashboard Cite

Os sistemas de armazenamento são essenciais para a produção agrícola, principalmente para as cadeias produtivas de grãos. Entretanto, é dependente dos agentes públicos e privados para sua viabilização e manutenção como serviço. O presente estudo tem como objetivo avaliar como estão sendo realizadas as armazenagens de grãos nas diferentes Regiões do Brasil em relação aos agentes econômicos gestores: Iniciativa Privada, Governo, Cooperativa e Economia Mista. A metodologia para esse estudo se vale da Análise de Redes Sociais que permite investigar as relações entre os produtos armazenados e os tipos de agente econômicos presentes em cada região. Os resultados apresentaram que os armazéns muitas vezes têm uma grande variação dos tipos de grãos armazenados e existe um papel predominante da Iniciativa Privada na gestão desses sistemas de armazenamento.

show abstract

“…The rate of land use conversion is up to two times higher than the one observed in the Amazon in the past 5 years [14], and most of the native vegetation conversion tends to occur in plateaus that are suitable for intensive, mechanized farming [15]. The conversion is occurring rapidly, especially in the northern part of the biome, where we find a new agricultural frontier known as MATOPIBA (region encompassed by Maranhão, Tocantins, Piauí, and Bahia) [35]. These four states together represent 55% of the loss of native vegetation that recently happened from 2005 to 2017 [34].…”

Section: Remotementioning

confidence: 99%

Comparative Analysis of the Global Forest/Non-Forest Maps Derived from SAR and Optical Sensors. Case Studies from Brazilian Amazon and Cerrado Biomes

et al. 2021

View full text Add to dashboard Cite

Global-scale forest/non-forest (FNF) maps are of crucial importance for applications like biomass estimation and deforestation monitoring. Global FNF maps based on optical remote sensing data have been produced by the wall-to-wall satellite image analyses or sampling strategies. The German Aerospace Center (DLR) and the Japan Aerospace Exploration Agency (JAXA) also made available their global FNF maps based on synthetic aperture radar (SAR) data. This paper attempted to answer the following scientific question: how comparable are the FNF products derived from optical and SAR data? As test sites we selected the Amazon (tropical rainforest) and Cerrado (tropical savanna) biomes, the two largest Brazilian biomes. Forest estimations from 2015 derived from TanDEM-X (X band; HH polarization) and ALOS-2 (L band; HV polarization) SAR data, as well as forest cover information derived from Landsat 8 optical data were compared with each other at the municipality and image sampling levels. The optical-based forest estimations considered in this study were derived from the MapBiomas project, a Brazilian multi-institutional project to map land use and land cover (LULC) classes of an entire country based on historical time series of Landsat data. In addition to the existing forest maps, a set of 1619 Landsat 8 RGB color composites was used to generate new independent comparison data composed of circular areas with 5-km diameter, which were visually interpreted after image segmentation. The Spearman rank correlation estimated the correlation among the data sets and the paired Mann–Whitney–Wilcoxon tested the hypothesis that the data sets are statistically equal. Results showed that forest maps derived from SAR and optical satellites are statistically different regardless of biome or scale of study (municipality or image sampling), except for the Cerrado´s forest estimations derived from TanDEM-X and ALOS-2. Nevertheless, the percentage of pixels classified as forest or non-forest by both SAR sensors were 90% and 80% for the Amazon and Cerrado biome, respectively, indicating an overall good agreement.

show abstract

Soybean yield in the Matopiba region under climate changes

Cited by 11 publications

References 18 publications

Climate change impacts on rainfed and irrigated soybean yield in Brazil’s new agricultural frontier

Climate change impacts on rainfed and irrigated soybean yield in Brazil’s new agricultural frontier

Análise do relacionamento entre grãos armazenados e categoria de gestão de sistemas de armazenagem no Brasil

Comparative Analysis of the Global Forest/Non-Forest Maps Derived from SAR and Optical Sensors. Case Studies from Brazilian Amazon and Cerrado Biomes

Contact Info

Product

Resources

About