Sixty Years of Sugarcane Monoculture Alters Carbon Preservation in Large Soil Macroaggregates in Tropical Soil Belchior Oliveira Trigueiro da Silva, Ademir De Oliveira Ferreira, Rattan Lal, Thiago Massao Inagaki, Telmo Jorge Carneiro Amado, et al. Land Degradation and Development, 2025 Frequent and intensive tillage in conventional agriculture disrupts soil aggregates, engendering significant depletion of soil organic carbon (SOC) stocks. Long‐term studies are essential for assessing the impact of sustainable practices on aggregate dynamics and carbon sequestration in sugarcane monocropping in tropical ecosystems. The following hypothesis was first, conventional sugarcane management would degrade soil, thereby reducing C stocks and breaking down aggregates. Second, conservation management that involves reduced disturbance could restore C storage, reaching levels similar to those observed in native vegetation (NV) over time. Third, macroaggregation could be a key mechanism for C storage under conservation management. This study evaluated the distribution of SOC among distinct aggregate classes under conventional (CC) and minimum (MC) cultivation in a 60‐year‐old sugarcane system, comparing results with undisturbed NV. The monitored properties included aggregate mass, SOC content and stock, weighted average diameter (WAD), aggregate and C stability indexes (ASI and CSI), soil C–CO2 emissions, and C preservation capacity (CPC). The long‐term CC had a significant impact on aggregate dynamics, manifesting in a reduction in macroaggregate mass and SOC content, an increase in CO2 emissions, and a decrease in CPC. While the total SOC stock remained comparable in NV and MC (76 Mg C ha−1), CC led to a 20% SOC loss. Although CC led to an increase in microaggregate C, it failed to counterbalance the loss of macroaggregate C. The ASI, with a reliability of approximately 99% in NV, exhibited a decline of 1% at 10 cm and 2% at 20 cm under MC and CC conditions. Concurrently, WAD reduced by 16% at 10 cm. CSI exhibited higher levels in NV and MC compared to CC at 10 cm depth. CPC in large macroaggregates was highest in NV (21 g kg−1), decreasing by 50% in CC (7 g kg−1) and by 33% in MC (14 g kg−1). At a depth of 20 cm, large macroaggregate mass was 28% lower in CC and 14% lower in MC compared to NV, resulting in a 29% and 21% reduction in macroaggregate C stock, respectively. In summary, the application of MC resulted in the preservation of SOC stocks at levels comparable to those observed in NV, thereby underscoring its capacity to maintain crop sustainability and augment carbon sequestration in tropical sugarcane systems.
UAV-based spectral images using remote sensing and YOLOv8 in Eucalyptus saligna Sm. inventory Vinicius Richter, Max Vinicius Reis de Sousa, Renato Souza Santos, Matheus Morais Ziembowicz, Juliane Cardozo Rigão, et al. Ciencia Florestal, 2025 Accurate and low-cost tree inventories in forest plantations are essential for an effective production management. Stimulated by recent advancements in Unmanned Aerial Vehicle (UAV) imagery coupled with artificial intelligence, and by the interest in developing models capable of supporting decision-making on silvicultural and forest management, this study aimed to evaluate the performance of different vegetation indices in detecting Eucaliptus saligna individuals by using an improved deep learning model. The tree-individual detection model was created using the YOLOv8n algorithm using UAV RGB images and vegetation indices (VI) generated from the multispectral sensor onboard the UAV. Nine VIs were selected for training (65%) and testing (35%) the models. The proposed framework demonstrated that the MPRI, PSRI, and NDVI indices achieved an F1 score of 0.98 and a precision of 0.97 for detecting E. saligna individual trees six months after planting. Our study demonstrates the robustness of the proposed framework and recommends the application of the MPRI index in individual tree detection due to its efficient performance, cost-effectiveness, and simplicity, as it only utilizes regions of the visible spectrum.
Influence of sowing time on the performance of soybean cultivars grown in contrasting environments Felipe Arthur Baron, Telmo Jorge Carneiro Amado, Ivan Ricardo Carvalho, Willyan Júnior Adorian Bandeira Pesquisa Agropecuaria Brasileira, 2025 The objective of this work was to evaluate the effect of different sowing times and cultivars on the expression of yield components of soybean grown in contrasting environments. Three experiments were carried out in two environments. In Condor, RS, Brazil, experiments were established in the 2018/2019 and 2022/2023 growing seasons, at two sowing times: November 8 and 25, in 2018/2019; and November 5 and 25, in 2022/2023. The evaluated cultivars were 53I54RSF IPRO, 6563RSF IPRO, and 5958RSF IPRO. In São Borja, RS, Brazil, the 2022/2023 experiment included the cultivars 57I52RSF IPRO, 55I57RSF IPRO, 6101XTD, O590 I2X, 5995I2X, and 64I61RSF IPRO. Variables were grouped as follows: plant stature (plant height, and first pod insertion height); plant architecture (fertile nodes and branches); pod distribution by grain number (on main stem and branches); grain yield; and thousand-grain weight. Data were subjected to the analysis of variance and to the Tukey’s test at 5% significance. In Condor, the sowing in the first half of November was more favorable under good weather (2018/2019), while the sowing in the second half of that month was better under adverse conditions (2022/2023). In São Borja, the 6101XTD cultivar showed the highest grain yield in 2022/2023, standing out under extreme drought conditions.
Can natural undisturbed revegetation restores soil organic carbon to levels under native climax vegetation under tropical semiarid climate? Aline Roma Tomaz, Ademir de Oliveira Ferreira, Rattan Lal, Telmo Jorge Carneiro Amado, Belchior Oliveira Trigueiro da Silva, et al. Land Degradation and Development, 2024 Land‐use change has driven soil carbon stock losses in ecosystems worldwide. Implementing agricultural crops and exploiting forest resources trigger the breakdown of soil aggregates, thus exposing organic matter to microbial decomposition and enhancing carbon dioxide emissions, especially in biomes more susceptible to climate extremes as in the tropical semiarid regions. This study was based on the hypothesis that the undisturbed soil from the dry forest (Caatinga biome under natural revegetation in Brazilian semiarid) would have an improvement in the mass of macroaggregates and recover more than 50% of the soil C stock within 10 years. Thus, a field experiment was conducted to investigate soils from the Caatinga biome under native vegetation, “cowpea cropping” for over 30 years, and soil under natural revegetation for over 10 years, after conventional soil cultivation of maize and cowpea, to determine soil and soil‐aggregates carbon stocks and to estimate the recovery rate of these stocks. The proportional mass of aggregates of different sizes and the total stock of particulate organic carbon (POC) were also quantified. The results showed that soil under preserved native vegetation of dry forest Caatinga biome had higher total soil C stock (50.9 Mg ha−1) than that under cowpea cropping (23.2 Mg ha−1) and natural revegetation (45.1 Mg ha−1). The proportional mass of large macroaggregates was higher in soil under native vegetation for all depths. However, soil under cowpea cropping had lower C stocks in macroaggregates, and recovered roughly 63% of the original C stocks, while revegetation recovered 78% of the stock in 10 years. Although the conventional management system for cowpea monoculture aggravated losses in soil carbon stock by more than 50% of the original C stocks, dry forest under natural revegetation recovered 79% of this stock and almost 100% of POC stock in 10 years (~12 Mg ha−1). Furthermore, soil under undisturbed Caatinga dry forest achieved C stock levels equivalent to that of the global average range for semiarid tropical environments. The high recovery rate of C stock in forest soil under natural revegetation indicates the resilience potential of organisms responsible for structural protection of aggregates and the encapsulated soil organic matter content.
Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest Dágila Rodrigues, Paulo Coradi, Newiton Timm, Michele Fornari, Paulo Grellmann, et al. Agriculture Switzerland, 2024 In recent years, agricultural remote sensing technology has made great progress. The availability of sensors capable of detecting electromagnetic energy and/or heat emitted by targets improves the pre-harvest process and therefore becomes an indispensable tool in the post-harvest phase. Therefore, we outline how remote sensing tools can support a range of agricultural processes from field to storage through crop yield estimation, grain quality monitoring, storage unit identification and characterization, and production process planning. The use of sensors in the field and post-harvest processes allows for accurate real-time monitoring of operations and grain quality, enabling decision-making supported by computer tools such as the Internet of Things (IoT) and artificial intelligence algorithms. This way, grain producers can get ahead, track and reduce losses, and maintain grain quality from field to consumer.
Water infiltration evaluated by different methods as an indicator of yield potential of oxisol areas managed under precision farming Interciencia, 2012
Using precision farming to overcome yield-limiting factors in southern Brazil oxisols: A case study GIS Applications in Agriculture Volume Two Nutrient Management for Energy Efficiency, 2011
Nitrogen availability as affected by ten years of cover crop and tillage systems in southern Brazil Journal of Soil and Water Conservation, 1998
RECENT SCHOLAR PUBLICATIONS
Remote detection of root malformation disorder in Eucalyptus saligna using UAV multispectral imagery and U-Net++ SDP da Silva, V Richter, NB Junior, RA Ferreira, GV Ferreira, TJC Amado, ... Computers and Electronics in Agriculture 244, 111522 , 2026 2026
Influence of sowing time on the performance of soybean cultivars grown in contrasting environments FA Baron, TJC Amado, IR Carvalho, WJA Bandeira Pesquisa Agropecuária Brasileira 60, e03937 , 2025 2025
Sensoriamento remoto por espectrorradiometria aplicada ao diagnóstico nutricional em Eucalyptus saligna Smith SDP da Silva, LP Amaral, FC Eugenio, NB Junior, RA Fantinel, ... REVISTA OBSERVATORIO DE LA ECONOMIA LATINOAMERICANA 23 (8), 1-25 , 2025 2025
Sixty Years of Sugarcane Monoculture Alters Carbon Preservation in Large Soil Macroaggregates in Tropical Soil BOT da Silva, A De Oliveira Ferreira, R Lal, TM Inagaki, TJC Amado, ... Land Degradation & Development 36 (12), 4056-4067 , 2025 2025 Citations: 2
Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest.(vol 14, 161, 2024) DM Rodrigues, PC Coradi, NS Timm, M Fornari, P Grellmann, TJC Amado, ... AGRICULTURE-BASEL 15 (14) , 2025 2025
Correction: Rodrigues et al. Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest. Agriculture 2024 … DM Rodrigues, PC Coradi, NS Timm, M Fornari, P Grellmann, TJC Amado, ... Agriculture 15 (14), 1490 , 2025 2025
UAV-based spectral images using remote sensing and YOLOv8 in Eucalyptus saligna Sm. inventory V Richter, MVR de Sousa, RS Santos, MM Ziembowicz, JC Rigão, ... Ciência Florestal 35, e88522 , 2025 2025
Weed management in Conservation Agriculture systems CC Baskin, JM Baskin, J Gonzalez-Andujar, C Fernandez-Quintanilla, ... Burleigh Dodds Science Publishing , 2025 2025
Smart Soybean in Brazil WP4 WEED-IT fluorescence sensor and NDVI for end-of-season variable rate soybean desiccation AM Michielsen, H Braam, D Bamberg, T Liska, L Saber, T Amado, ... 2025
Percepções sobre práticas regenerativas na supressão de doenças radiculares da soja U Barth, MJR Sangiovo, CJ Basso, MR Cherubin, LC Peccic, TJC Amado Agrária-Revista Brasileira de Ciências Agrárias 20 (1), e3975-e3975 , 2025 2025
Optimization of the maize hybrid plant population in a heterogeneous agricultural field FA Baron, IR Carvalho, WJA Bandeira, TJC Amado, GM Corassa, ... 2025
CULTIVOS DE COBERTURA DE OTOÑO/ INVIERNO. EFECTO SOBRE DISPONIBILIDAD Y DINAMICA DEL AGUA EN EL SUELO ES Pereira, JA Galantini, TJC Amado Excelencia técnica y sostenibilidad en las Ciencias Agrarias, 1-29 , 2025 2025
Weed management in Conservation Agriculture-based production of annual crops A Calegari, TJC Amado, R Derpsch, R Archuleta, M Cubilla, F Thomas, ... Weed management in Conservation Agriculture systems, 269-288 , 2025 2025
Estudo de caso: aspectos técnicos e viabilidade econômica do sistema sulco/camalhão para produção de soja em áreas de várzea MAP Santos, TJC Amado, AL Santi, GI Gadotti 2025
A influência das plantas de cobertura e da escarificação mecânica nos atributos físicos do solo PRA Nunes, TJC Amado, CN Costa, JD Reinert 2025
Smart Soybean in Brazil WP4 WEED-IT fluorescence sensor and NDVI for end-of-season variable rate soybean desiccation B Maestrini, V Marini, E de Jonge, JM Michielsen, A Meenderink, H Braam, ... Wageningen Plant Research , 2025 2025
Influência da época de semeadura sobre o desempenho de cultivares de soja cultivadas em ambientes contrastantes FA Baron, TJC Amado, IR Carvalho, WJA Bandeira Pesquisa Agropecuária Brasileira 60, e03937 , 2025 2025
Plant population and grain yield potential of popcorn MJR Sangiovo, ÁTN Drews, CJ Basso, GA Pasinatto, FM De Souza, ... 2025
Imagens espectrais baseadas em UAV usando sensoriamento remoto e YOLOv8 no inventário de Eucalyptus saligna Sm. V Richter, MVR de Sousa, RS Santos, MM Ziembowicz, JC Rigão, ... Ciência Florestal 35, e88522 , 2025 2025
SOIL QUALITY ROLE FOR ENHANCE SOYBEAN RESILIENCE UNDER HYDRIC STRESS SEASON MJR Sangiovo, CJ Basso, E Bellé, GR Manzano, R Mello, E Marchesan, ... Frontiers in Agronomy 4, 126 , 2025 2025 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Organic matter storage in a sandy clay loam Acrisol affected by tillage and cropping systems in southern Brazil C Bayer, J Mielniczuk, TJC Amado, L Martin-Neto, SV Fernandes Soil and tillage research 54 (1-2), 101-109 , 2000 2000 Citations: 637
Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil RA Schwalbert, T Amado, G Corassa, LP Pott, PVV Prasad, IA Ciampitti Agricultural and Forest Meteorology 284, 107886 , 2020 2020 Citations: 471
Taking stock of the Brazilian “zero‐till revolution”: A review of landmark research and farmers' practice A Bolliger, J Magid, JCT Amado, FS Neto, MF dos Santos Ribeiro, ... Advances in agronomy 91, 47-110 , 2006 2006 Citations: 428
Qualidade do solo em sistemas de manejo avaliada pela dinâmica da matéria orgânica e atributos relacionados PC Conceição, TJC Amado, J Mielniczuk, E Spagnollo Revista Brasileira de Ciência do solo 29 (5), 777-788 , 2005 2005 Citations: 359
Adubação verde no sul do Brasil A Calegari Assessoria e Serviços a Projetos em Agricultura Alternativa , 1993 1993 Citations: 349
Recomendação de adubação nitrogenada para o milho no RS e SC adaptada ao uso de culturas de cobertura do solo, sob sistema plantio direto TJC Amado, J Mielniczuk, C Aita Revista brasileira de ciência do solo 26 (1), 241-248 , 2002 2002 Citations: 347
Potencial de culturas de cobertura em acumular carbono e nitrogênio no solo no plantio direto ea melhoria da qualidade ambiental TJC Amado, C Bayer, FLF Eltz, ACR Brum Revista brasileira de ciência do solo 25 (1), 189-197 , 2001 2001 Citations: 269
Atributos físicos do solo em sistema de integração lavoura-pecuária sob plantio direto ME Lanzanova, RS Nicoloso, T Lovato, FLF Eltz, TJC Amado, DJ Reinert Revista Brasileira de Ciência do solo 31, 1131-1140 , 2007 2007 Citations: 252
Potential of carbon accumulation in no‐till soils with intensive use and cover crops in southern Brazil TJC Amado, C Bayer, PC Conceição, E Spagnollo, BHC de Campos, ... Journal of environmental quality 35 (4), 1599-1607 , 2006 2006 Citations: 239
Soil quality impacts of current South American agricultural practices AB Wingeyer, TJC Amado, M Pérez-Bidegain, GA Studdert, ... Sustainability 7 (2), 2213-2242 , 2015 2015 Citations: 165
Leguminosas e adubação mineral como fontes de nitrogênio para o milho em sistemas de preparo do solo TJC Amado, J Mielniczuk, SBV Fernandes Revista Brasileira de Ciência do Solo 24 (1), 179-189 , 2000 2000 Citations: 161
Aspectos gerais da adubação verde A CALEGARI, A Mondardo, EA Bulisani, MBB Costa, S Miyasaka, ... Adubação verde no sul do Brasil 2, 1-56 , 1993 1993 Citations: 156
Principles of sustainable soil management in agroecosystems R Lal, BA Stewart CRC Press , 2013 2013 Citations: 142
Phosphorus fertilizer placement and tillage affect soybean root growth and drought tolerance FD Hansel, TJC Amado, DA Ruiz Diaz, LHM Rosso, FT Nicoloso, ... Agronomy Journal 109 (6), 2936-2944 , 2017 2017 Citations: 125
Eficiência da escarificação mecânica e biológica na melhoria dos atributos físicos de um Latossolo muito argiloso e no incremento do rendimento de soja RS Nicoloso, TJC Amado, S Schneider, ME Lanzanova, VC Girardello, ... Revista Brasileira de Ciência do solo 32 (4), 1723-1734 , 2008 2008 Citations: 118
Sustainable soil management is more than what and how crops are grown AH Kassam, G Basch, T Friedrich, F Shaxson, T Goddard, TJC Amado, ... Rolul agriculturii în acordarea serviciilor ecosistemice şi sociale, 230-270 , 2014 2014 Citations: 109
Protection of soil organic C and N in temperate and tropical soils: Effect of native and agroecosystems KP Fabrizzi, CW Rice, TJC Amado, J Fiorin, P Barbagelata, R Melchiori Biogeochemistry 92 (1), 129-143 , 2008 2008 Citations: 109
Cultivo consorciado de aveia e ervilhaca: relação C/N da fitomassa e produtividade do milho em sucessão R Heinrichs, C Aita, TJC Amado, AL Fancelli Revista Brasileira de Ciência do Solo 25, 331-340 , 2001 2001 Citations: 108
Optimization of corn plant population according to management zones in Southern Brazil TAN Hörbe, TJC Amado, AO Ferreira, PJ Alba Precision Agriculture 14 (4), 450-465 , 2013 2013 Citations: 101
Cover crop effects increasing carbon storage in a subtropical no‐till sandy Acrisol C Bayer, J Dieckow, TJC Amado, FLF Eltz, FCB Vieira Communications in Soil Science and Plant Analysis 40 (9-10), 1499-1511 , 2009 2009 Citations: 100
