4.5 Article

Agricultural zoning as tool for expansion of cassava in climate change scenarios

Journal

THEORETICAL AND APPLIED CLIMATOLOGY
Volume 142, Issue 3-4, Pages 1085-1095

Publisher

SPRINGER WIEN
DOI: 10.1007/s00704-020-03367-1

Keywords

-

Funding

  1. Science and Technology of Mato Grosso do Sul - Campus of Navirai, IFMS - Federal Institute of Education, Navirai, Brazil

Ask authors/readers for more resources

Improvement of planting season and crop growth time, considering climatic and soil needs of plants, is important to increase cassava (Manihot esculenta) production in Midwestern Brazil. Thus, we sought to develop an agricultural zoning for cassava cultivation in the Midwest of Brazil in different climate change scenarios. Mean air temperature and precipitation data from localities of the Midwest of Brazil were obtained from the Brazilian National Institute of Meteorology (INMET). Clay (%) data from localities of the Midwest of Brazil were obtained from SoilGrids. Regions where the air temperature was within the range from 20 to 27 degrees C were considered climatically favorable for commercial exploitation of cassava, in addition to precipitation between 1000 and 1500 mm year(-1), and clay content was less than <= 35%. Moreover, regions with air temperature below 16 degrees C and above 38 degrees C, precipitation below 1000 mm and above 1500 mm year(-1), and clay content > 35% were considered unsuitable for cassava cultivation. Raster or matrix images, corresponding to mean annual air temperature, annual precipitation, and clay (soil), were superimposed to create cassava suitability classes, according to crop requirements. The climate change scenarios were established by changing the air temperature (degrees C) and rainfall (mm). The air temperature was increased by 1.5, 3.0, 4.5, and 6.0 degrees C as adopted by Pirttioja et al. (Clim Res 65:87-105, 2015). We changed in precipitation - 30, - 15, + 15, and 30% according to the future projections simulated by the IPCC (2014). Maps were made using geographic information systems. In the states of Mato Grosso do Sul, Mato Grosso, and Goias, mean precipitation was around 1200 to 4000 mm year(-1). Northern Mato Grosso showed the highest annual precipitation, with values above 3500 mm. A large extension of the Midwest region of Brazil is climatically and soil favorable for cassava. The Midwest is a region with high rainfall, so we recommend planting in well-drained soils to avoid phytosanitary problems. Producers taking this care can plant cassava in 86.6% of the territory. The climate change scenarios demonstrated different Agriculture zonings for cassava in the Midwest of Brazil. With the increase in air temperature, greater marginal classes occurred, but cassava is resistant to this condition. But, this increase in temperature can reduce the cycle and consequently reduce production.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Green & Sustainable Science & Technology

Climate change and its influence on planting of cassava in the Midwest region of Brazil

Gabriel Henrique de Olanda Souza, Lucas Eduardo de Oliveira Aparecido, Jose Reinaldo da Silva Cabral de Moraes, Guilherme Torsoni Botega

Summary: Climate change has adverse effects on agriculture in the Midwest region of Brazil, particularly on cassava cultivation. This study predicts the potential changes in cassava cultivation area in the future by analyzing climatic requirements and adaptive capacity.

ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2023)

Article Green & Sustainable Science & Technology

Climate classification by Thornthwaite (1948) humidity index in future scenarios for Maranhao State, Brazil

Lucas Eduardo de Oliveira Aparecido, Kamila Cunha de Meneses, Pedro Antonio Lorencone, Joao Antonio Lorencone, Jose Reinaldo da Silva Cabral de Moraes, Glauco de Souza Rolim

Summary: This study evaluates climate change in Maranhao, Brazil by analyzing air temperature and precipitation data. The findings suggest that these factors significantly impact plant development and agricultural planning. The study identifies seven climate indexes in Maranhao, with a prevalence of humid climate. Projections indicate that climate change will adversely affect various economic activities in the region.

ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2023)

Article Meteorology & Atmospheric Sciences

Soybean yield prediction by machine learning and climate

Guilherme Botega Torsoni, Lucas Eduardo de Oliveira Aparecido, Gabriela Marins dos Santos, Alisson Gaspar Chiquitto, Jose Reinaldo da Silva Cabral Moraes, Glauco de Souza Rolim

Summary: This study developed climate-based yield prediction models using machine learning, tested the best model with independent data, and identified zones of higher soybean yield in Mato Grosso do Sul. The best algorithms were random forest, extreme gradient boosting, and gradient boosting, which showed high precision and accuracy in predicting soybean yields.

THEORETICAL AND APPLIED CLIMATOLOGY (2023)

Correction Meteorology & Atmospheric Sciences

Soybean yield prediction by machine learning and climate (6 FEB, 10.1007/s00704-022-04341-9, 2023 )

Guilherme Botega Torsoni, Lucas Eduardo de Oliveira Aparecido, Gabriela Marins dos Santos, Alisson Gaspar Chiquitto, Jose Reinaldo Moraes, Glauco de Souza Rolim

THEORETICAL AND APPLIED CLIMATOLOGY (2023)

Article Meteorology & Atmospheric Sciences

Climate change in MATOPIBA region of Brazil: a study on climate extremes in agriculture

Lucas Eduardo de Oliveira Aparecido, Alexson Filgueiras Dutra, Pedro Antonio Lorencone, Francisco de Alcantara Neto, Joao Antonio Lorencone, Marcos Renan Lima Leite

Summary: This study characterized the climatic conditions of the MATOPIBA region and analyzed its changes under climate change scenarios using the Thornthwaite classification index. The region was found to have a humid, dry subhumid, and moist subhumid climate, with well-defined rainy and drought seasons. Climate change scenarios were shown to alter the pattern, frequency, and distribution of climate class, posing risks to crop production.

THEORETICAL AND APPLIED CLIMATOLOGY (2023)

Article Green & Sustainable Science & Technology

Climate change and its consequences on the climatic zoning of Coffea canephora in Brazil

Pedro Antonio Lorencone, Lucas Eduardo de Oliveira Aparecido, Joao Antonio Lorencone, Guilherme Torsoni Botega, Rafael Fausto Lima, Glauco de Souza Rolim

Summary: Coffee production is important in Brazilian agribusiness and has cultural and social significance in the country. Brazil is the largest producer of arabica coffee and the second largest producer of canephora coffee. This study aimed to identify suitable areas for canephora coffee cultivation in Brazil under climate change.

ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2023)

Article Agriculture, Multidisciplinary

Climate risk zoning for wheat crops in the southeastern region of Brazil

Lucas Eduardo de Oliveira Aparecido, Jose Maria Villela Padua, Guilherme Botega Torsoni, Thiago Orlando Costa Barboza, Lara Eduarda Silva Viol, Jose Reinaldo da Silva Cabral de Moraes, Adao Felipe dos Santos

Summary: This study aimed to determine the agroclimatic zoning of wheat in the southeastern region of Brazil. By using historical meteorological data and the ISNA method, the study found that the regions with the highest rainfall are the south of Minas Gerais and the coast of Sao Paulo. Spring and summer have better cultivation conditions, and Minas Gerais, with an altitude of over 700 meters, has 39.4% of the area suitable for wheat cultivation.

JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE (2023)

Article Green & Sustainable Science & Technology

Agricultural zoning of Coffea arabica in Brazil for current and future climate scenarios: implications for the coffee industry

Joao Antonio Lorencone, Lucas Eduardo de Oliveira Aparecido, Pedro Antonio Lorencone, Guilherme Botega Torsoni, Rafael Fausto de Lima, Jose Reinaldo da Silva Cabral de Moraes, Glauco de Souza Rolim

Summary: Coffee cultivation in Brazil, the world's largest producer, is expected to be negatively affected by climate change, with a potential 50% reduction in suitable areas. Thermal excess and water deficiency will be the major restrictions for coffee cultivation in the future, especially in Minas Gerais, Sao Paulo, and Parana regions.

ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2023)

Article Multidisciplinary Sciences

A web-based software for group decision with analytic hierarchy process

Rafael Verdo Francozoa, Luiz Sergio Velasquez Urquiza Junior, Elana Souza Carrapateira, Bruna Cristine Scarduelli Pacheco, Marcio Teixeira Oliveira, Guilherme Botega Torsoni, Jiyan Yari

Summary: The Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision support method. However, the original AHP method requires a large number of comparisons, making it challenging to maintain consistent judgments. Existing AHP software does not support group decision-making. This paper presents a web-based AHP system that requires fewer comparisons and enables group decision-making.

METHODSX (2023)

No Data Available