Agricultural and Biological Sciences, Multidisciplinary, Soil Science, Soil Science
93
Scopus Publications
Scopus Publications
Contrasting thermal discomfort in Mato Grosso: a comparative analysis of the regions of Tangará da Serra and Alta Floresta Reilly Pereira Melo, Vanessa Rakel de Moraes Dias, Tássia Camila dos Santos Oliveira, Ana Cláudia Pereira Terças Trettel, Vagner Ferreira do Nascimento, et al. Nativa, 2025 Objetivou-se analisar os índices de conforto térmico, bem como os horários de maior desconforto, em dois municípios: um do bioma Amazônico e outro de fitofisionomia do Cerrado, em períodos específicos. Os dados meteorológicos analisados foram temperatura e umidade relativa do ar, obtidos do banco de dados do Centro Tecnológico de Geoprocessamento e Sensoriamento Remoto, no período de 2013 a 2022. Os índices calculados foram o Índice de Calor (IC) e o Índice de Temperatura e Umidade (ITU). Segundo os resultados, a média do Índice de Calor em Alta Floresta foi de 26,8 °C e em Tangará da Serra, de 26,6 °C. O ITU de Alta Floresta foi de 25,1 °C, já em Tangará da Serra, de 24,7 °C. No primeiro município, houve maior número de horas classificadas como desconfortáveis em todos os meses, quando as temperaturas foram cerca de 1 °C superiores, e os horários mais críticos ocorreram entre 11h e 17h em Alta Floresta e entre 12h e 16h em Tangará da Serra, especialmente entre 14h e 15h. No evento ENOS 2015/16 houve maior variabilidade e intensificação da temperatura e da umidade relativa do ar em Alta Floresta. A análise permitiu comparar os padrões de exposição ao calor e identificar as faixas horárias de maior risco para a população em geral. Palavras-chave: clima; índices de calor; estresse térmico; cidade no Cerrado; cidade amazônica. Contrasting thermal discomfort in Mato Grosso: a comparative analysis of the regions of Tangará da Serra and Alta Floresta ABSTRACT: The objective was to analyze thermal comfort indices, as well as the hours of greatest discomfort, in two municipalities, one located in the Amazon biome and the other in the Cerrado phytophysiognomy, during specific periods. The meteorological variables analyzed were air temperature and relative humidity, obtained from the database of the Technological Center for Geoprocessing and Remote Sensing for the period from 2013 to 2022. The indices calculated were the Heat Index (HI) and the Temperature-Humidity Index (THI). According to the results, the mean Heat Index in Alta Floresta was 26.8 °C and in Tangará da Serra, 26.6 °C. The THI for Alta Floresta was 25.1 °C, while in Tangará da Serra it was 24.7 °C. In the first municipality, there was a greater number of hours classified as uncomfortable in all months, where temperatures were approximately 1°C higher. The most critical hours occurred between 11:00 and 17:00 in Alta Floresta, between 12:00 and 16:00 in Tangará da Serra, especially between 14:00 and 15:00. During the 2015/16 ENSO event, greater variability and intensification of air temperature and relative humidity were observed in Alta Floresta. The analysis allowed for the comparison of heat exposure patterns and the identification of time windows of higher risk for the general population. Keywords: climate; heat indices; thermal stress; city in the Cerrado; Amazonian city.
Rainfall variability in the region of Tangará da Serra, Mato Grosso, using the standardized precipitation index Eduardo N. Viana, Rivanildo Dallacort, Vanessa R. de M. Dias, Moisés D. Souza, João D. Barbieri, et al. Revista Brasileira De Engenharia Agricola E Ambiental, 2025 Regionally, the municipality of Tangará da Serra, Mato Grosso state, Brazil, has significant agricultural potential due to its latitudinal and orographic conditions. The variability of meteorological elements, especially rainfall, has direct impacts on the socio-environmental, economic and agricultural spheres, so assessing the intensity and trends of this variability is essential to rationalize the use of water resources, quantify impacts and for decision-making and planning to minimize possible negative impacts. In this context, the objective was to analyze the variability of precipitation and apply the Standardized Precipitation Index (SPI) to quantify drought severity. Precipitation data made available by the National Institute of Meteorology and the National Water and Sanitation Agency (ANA) between 1970 and 2023 were used. These data were analyzed for monthly and annual distribution and subjected to analysis of the probabilistic Gamma distribution model and SPI index. In general, in 47.1% of the years (25 years), the annual average precipitation was higher than the historical average (1,774.4 mm). Between 2000 and 2023, only 15% of the years exceeded the historical average precipitation. Several years with prolonged dry periods indicated by the SPI were observed in the analyzed period, with evidence of accentuation from the last 20 years; to better analyze drought events and relate their influence on agriculture, time scales of 3 and 12 months were considered.
Multivariate and correlation network analyses in the selection of papaya cultivars in Mato Grosso, Brazil Rayla Nemis de Souza, Willian Krause, Eileen Azevedo Santos, Dayane Castro Silva, Rivanildo Dallacort, et al. Comunicata Scientiae, 2025 Papaya (Carica papaya L.) is among the most widely grown fruit species in the world and have significant economic importance in Brazil. However, most of the Brazilian production is concentrated in the Northeast and Southeast regions, limiting the potential expansion of this production chain. The objective of this study was to evaluate the performance of papaya cultivars from the Solo and Formosa groups in the state of Mato Grosso, Brazil, focusing on the combination of high-yield traits, fruit quality, and consumer acceptance through canonical variable analysis. The research was conducted in Tangará da Serra, MT, Brazil, using 11 papaya cultivars (Golden, Golden-THB, Aliança, UC14, UC16, UC12, Bela-Nova, Calimosa, Rubi-Incaper-511, T2, and Tainung-1). The cultivars showed significantly different results. Overall, they met the standards required by both national and international markets in terms of fruit physical appearance. Golden-THB (Solo group) showed the highest yield, while Golden had the highest ascorbic acid and beta-carotene contents. Rubi-Incaper-511 and UC16 were the most preferred by consumers, according to the sensory analysis.
Rainfall and Extreme Drought Detection: An Analysis for a Potential Agricultural Region in the Southern Brazilian Amazon Rogério De Souza Silva, Rivanildo Dallacort, Ismael Cavalcante Maciel Junior, Marco Antonio Camillo De Carvalho, Oscar Mitsuo Yamashita, et al. Sustainability Switzerland, 2024 In recent decades, the main commercial crops of Mato Grosso, such as soybeans, corn, and cotton, have been undergoing transformations regarding the adoption of new technologies to increase production. However, regardless of the technological level, the climate of the region, including the rainfall regime, can influence the success of crops and facilitate, or not, the maximum production efficiency. This study aimed to define the behavior of the variability in monthly and annual rainfall and its probability of monthly occurrence and calculate the drought index for the northwestern region of Mato Grosso, in the southern region of the Brazilian Amazon. To carry out the study, daily rainfall records were collected, calculating the totals for each month of the historical series for each of the four National Water and Sanitation Agency (ANA) rain gauge stations, Aripuanã (1985–2020), Colniza (2001–2020), Cotriguaçu (2004–2020), and Juína (1985–2020), representing the northwestern region. The annual distribution of rainfall during the periods studied ranged from 1376.2 to 3017.3 mm. The monthly distribution indicated a typical water shortage in the months of June, July, and August. The probability of rainfall near the average for each month was more than 50%. The monthly SPI-1 index revealed a total of 56 months affected by very dry events and 34 extreme dry events. The annual SPI-12 index pointed to seven very dry years and five extremely dry years. Therefore, the region presented high rainfall rates in most years; however, a significant process of drought was also observed, including in rainy months, which are the periods with the greatest demand for the main agricultural crops.
Maize Crop Detection through Geo-Object-Oriented Analysis Using Orbital Multi-Sensors on the Google Earth Engine Platform Ismael Cavalcante Maciel Junior, Rivanildo Dallacort, Cácio Luiz Boechat, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, et al. Agriengineering, 2024 Mato Grosso state is the biggest maize producer in Brazil, with the predominance of cultivation concentrated in the second harvest. Due to the need to obtain more accurate and efficient data, agricultural intelligence is adapting and embracing new technologies such as the use of satellites for remote sensing and geographic information systems. In this respect, this study aimed to map the second harvest maize cultivation areas at Canarana-MT in the crop year 2019/2020 by using geographic object-based image analysis (GEOBIA) with different spatial, spectral, and temporal resolutions. MSI/Sentinel-2, OLI/Landsat-8, MODIS-Terra and MODIS-Aqua, and PlanetScope imagery were used in this assessment. The maize crops mapping was based on cartographic basis from IBGE (Brazilian Institute of Geography and Statistics) and the Google Earth Engine (GEE), and the following steps of image filtering (gray-level co-occurrence matrix—GLCM), vegetation indices calculation, segmentation by simple non-iterative clustering (SNIC), principal component (PC) analysis, and classification by random forest (RF) algorithm, followed finally by confusion matrix analysis, kappa, overall accuracy (OA), and validation statistics. From these methods, satisfactory results were found; with OA from 86.41% to 88.65% and kappa from 81.26% and 84.61% among the imagery systems considered, the GEOBIA technique combined with the SNIC and GLCM spectral and texture feature discriminations and the RF classifier presented a mapping of the corn crop of the study area that demonstrates an improved and aided the performance of automated multispectral image classification processes.
Assessment of tolerance to glyphosate and glufosinate in genetically modified cotton shoots Mara Cristina Kleinpaul-Steinke, Marco Antonio Camillo de Carvalho, Oscar Mitsuo-Yamashita, Rivanildo Dallacort, Dejania Vieira de Araújo Revista Mexicana De Ciencias Agricolas, 2024 Destruction of the harvest of cotton stalks should be done after it. However, destruction by ploughing prevents continuing with direct sowing, which makes chemical management an ally in soil conservation. The objective was to identify the most effective dose of 2,4-D, associated with different herbicides and the timing of administration for the control of transgenic cotton shoots for tolerance to glyphosate and glufosinate. The treatments consisted of the use of the herbicide 2,4-D, alone at doses of 670 and 1 340 g ha-1, and associated with the herbicides carfentrazone, flumiclorac, chlorimuron, flumioxazin and imazethapyr at three application times: 0 days after mechanical mowing (0 DAMM), 25 DAMM, and 0 DAMM + 25 DAMM. Regrowth evaluations were performed at 15, 30, and 45 days after the first and second applications, determining the dry biomass of the shoots. In terms of herbicide use time, the best results are obtained when they applied at 0 DAMM + 25 DAMM. Higher doses of 2,4-D (1 324 g ha-1) make it more efficient; in relation to herbicides, variations were perceived in their behavior depending on the time of evaluation, the application, and the dose of 2,4-D used. During the last measurement period, 45 days after application, 2,4-D+carfentrazone and 2,4-D+flumiclorac had the lowest dry shoot masses. The experiment was conducted in 2014. It was concluded that there is a lower rate of cotton regrowth when the application of the herbicides is repeated at 0 DAMM and 25 DAMM. The 1 324 g ha-1 dose of 2,4-D is more efficient. 2,4-D+carfentrazone and 2,4-D+flumiclorac promoted lower dry mass 45 days after administration of the treatments.
Adjustment and evaluation of cropgro-soybean and ceres-maize for different genetic material in a region of mato grosso state, Brazil Tropical and Subtropical Agroecosystems, 2019
Response of the type of nitrogen resource in the quality of maize cultivated in southern amazonia Tropical and Subtropical Agroecosystems, 2019
Selectivity of herbicides for pinhão manso in conditions terms of greenhouse and field Bioscience Journal, 2014
Sowing dates and plant density of peanut cultivars in different soil and climatic conditions of Mato Grosso State, Brazil Journal of Food Agriculture and Environment, 2014
Thermic sum and crop coefficient of canola (Brassica napus L.) for the region of Tangará da Serra, Mato Grosso State, Brazil Journal of Food Agriculture and Environment, 2014
Growth and productivity of purging nut (Jatropha Curcas L.) crop grown on an Oxisol in tangará da serra (MT, Brasil) Cadernos do Laboratorio Xeoloxico De Laxe, 2013
