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4. Bezafibrate reduces the damage, activation and mechanical properties of lung fibroblast cells induced by hydrogen peroxide

Author

Reghelin, Camille Kirinus, Bastos, Matheus Scherer, de Souza Basso, Bruno, Costa, Bruna Pasqualotto, Lima, Kelly Goulart, de Sousa, Arieli Cruz, Haute, Gabriela Viegas, Diz, Fernando Mendonça, Dias, Henrique Bregolin, Luft, Carolina, Rodrigues, Kétlin Fernanda, Garcia, Maria Cláudia Rosa, Matzenbacher, Lucas Strassburger, Adami, Bruno Silveira, Xavier, Léder Leal, Donadio, Márcio Vinícius Fagundes, de Oliveira, Jarbas Rodrigues, and da Silva Melo, Denizar Alberto

Published
2023
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7. Simulation of soil temperature under maize: An inter-comparison among 33 maize models

Author

Kimball, Bruce A., Thorp, Kelly R., Boote, Kenneth J., Stockle, Claudio, Suyker, Andrew E., Evett, Steven R., Brauer, David K., Coyle, Gwen G., Copeland, Karen S., Marek, Gary W., Colaizzi, Paul D., Acutis, Marco, Archontoulis, Sotirios, Babacar, Faye, Barcza, Zoltán, Basso, Bruno, Bertuzzi, Patrick, De Antoni Migliorati, Massimiliano, Dumont, Benjamin, Durand, Jean-Louis, Fodor, Nándor, Gaiser, Thomas, Gayler, Sebastian, Grant, Robert, Guan, Kaiyu, Hoogenboom, Gerrit, Jiang, Qianjing, Kim, Soo-Hyung, Kisekka, Isaya, Lizaso, Jon, Perego, Alessia, Peng, Bin, Priesack, Eckart, Qi, Zhiming, Shelia, Vakhtang, Srivastava, Amit Kumar, Timlin, Dennis, Webber, Heidi, Weber, Tobias, Williams, Karina, Viswanathan, Michelle, and Zhou, Wang

Published
2024
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8. Long-term soil organic carbon and crop yield feedbacks differ between 16 soil-crop models in sub-Saharan Africa

Author

Couëdel, Antoine, Falconnier, Gatien N., Adam, Myriam, Cardinael, Rémi, Boote, Kenneth, Justes, Eric, Smith, Ward N., Whitbread, Anthony M., Affholder, François, Balkovic, Juraj, Basso, Bruno, Bhatia, Arti, Chakrabarti, Bidisha, Chikowo, Regis, Christina, Mathias, Faye, Babacar, Ferchaud, Fabien, Folberth, Christian, Akinseye, Folorunso M., Gaiser, Thomas, Galdos, Marcelo V., Gayler, Sebastian, Gorooei, Aram, Grant, Brian, Guibert, Hervé, Hoogenboom, Gerrit, Kamali, Bahareh, Laub, Moritz, Maureira, Fidel, Mequanint, Fasil, Nendel, Claas, Porter, Cheryl H., Ripoche, Dominique, Ruane, Alex C., Rusinamhodzi, Leonard, Sharma, Shikha, Singh, Upendra, Six, Johan, Srivastava, Amit, Vanlauwe, Bernard, Versini, Antoine, Vianna, Murilo, Webber, Heidi, Weber, Tobias K.D., Zhang, Congmu, and Corbeels, Marc

Published
2024
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9. Baccharis anomala DC. extract reduces inflammation and attenuates hepatic fibrosis in vivo by decreasing NF-kB and extracellular matrix compounds

Author

de Souza Basso, Bruno, Bastos, Matheus Scherer, Antunes, Géssica Luana, Matzenbacher, Lucas Strassburger, Rodrigues, Kétlin Fernanda, Garcia, Maria Claudia Rosa, de Sousa, Arieli Cruz, Levorse, Vitor Giancarlo, Luft, Carolina, Tonial, Giovana Vivan, Pavanato, Giovanna Mezzomo, Astarita, Leandro Vieira, da Silva Melo, Denizar Alberto, Donadio, Márcio Vinícius Fagundes, Santarém, Eliane Romanato, and de Oliveira, Jarbas Rodrigues

Published
2024
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13. Residual correlation and ensemble modelling to improve crop and grassland models

Author

Sándor, Renáta, Ehrhardt, Fiona, Grace, Peter, Recous, Sylvie, Smith, Pete, Snow, Val, Soussana, Jean-François, Basso, Bruno, Bhatia, Arti, Brilli, Lorenzo, Doltra, Jordi, Dorich, Christopher D., Doro, Luca, Fitton, Nuala, Grant, Brian, Harrison, Matthew Tom, Skiba, Ute, Kirschbaum, Miko U.F., Klumpp, Katja, Laville, Patricia, Léonard, Joel, Martin, Raphaël, Massad, Raia Silvia, Moore, Andrew D., Myrgiotis, Vasileios, Pattey, Elizabeth, Rolinski, Susanne, Sharp, Joanna, Smith, Ward, Wu, Lianhai, Zhang, Qing, and Bellocchi, Gianni

Published
2023
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15. Simvastatin attenuates inflammatory process on LPS-induced acute lung injury in mice

Author

Haute, Gabriela Viegas, Luft, Carolina, Pedrazza, Leonardo, Antunes, Géssica Luana, Silveira, Josiane, de Souza Basso, Bruno, Levorse, Vitor Giancarlo Schneider, Bastos, Matheus Scherer, Melo, Denizar, Rodrigues, Ketlin Fernanda, Garcia, Maria Claudia, da Costa, Mariana Severo, Matzenbacher, Lucas Strassburger, Kaiber, Daniela Benvenutti, Donadio, Márcio Vinícius Fagundes, Gracia-Sancho, Jordi, and de Oliveira, Jarbas Rodrigues

Published
2023
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21. Uncertainties in greenhouse gas emission factors: A comprehensive analysis of switchgrass‐based biofuel production.

Author

Kim, Seungdo, Dale, Bruce E., and Basso, Bruno

Subjects
GREENHOUSE gases, SUSTAINABILITY, MONTE Carlo method, GREENHOUSE gas mitigation, PRODUCT life cycle assessment, SWITCHGRASS
Abstract

This study investigates uncertainties in greenhouse gas (GHG) emission factors related to switchgrass‐based biofuel production in Michigan. Using three life cycle assessment (LCA) databases—US lifecycle inventory (USLCI) database, GREET, and Ecoinvent—each with multiple versions, we recalculated the global warming intensity (GWI) and GHG mitigation potential in a static calculation. Employing Monte Carlo simulations along with local and global sensitivity analyses, we assess uncertainties and pinpoint key parameters influencing GWI. The convergence of results across our previous study, static calculations, and Monte Carlo simulations enhances the credibility of estimated GWI values. Static calculations, validated by Monte Carlo simulations, offer reasonable central tendencies, providing a robust foundation for policy considerations. However, the wider range observed in Monte Carlo simulations underscores the importance of potential variations and uncertainties in real‐world applications. Sensitivity analyses identify biofuel yield, GHG emissions of electricity, and soil organic carbon (SOC) change as pivotal parameters influencing GWI. Decreasing uncertainties in GWI may be achieved by making greater efforts to acquire more precise data on these parameters. Our study emphasizes the significance of considering diverse GHG factors and databases in GWI assessments and stresses the need for accurate electricity fuel mixes, crucial information for refining GWI assessments and informing strategies for sustainable biofuel production. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Methoxyeugenol deactivates hepatic stellate cells and attenuates liver fibrosis and inflammation through a PPAR-ɣ and NF-kB mechanism

Author

de Souza Basso, Bruno, Haute, Gabriela Viegas, Ortega-Ribera, Martí, Luft, Carolina, Antunes, Géssica Luana, Bastos, Matheus Scherer, Carlessi, Leonardo Pfeiff, Levorse, Vitor Giancarlo, Cassel, Eduardo, Donadio, Márcio Vinícius Fagundes, Santarém, Eliane Romanato, Gracia-Sancho, Jordi, and Rodrigues de Oliveira, Jarbas

Published
2021
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23. The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise

Author

Wallach, Daniel, Palosuo, Taru, Thorburn, Peter, Hochman, Zvi, Gourdain, Emmanuelle, Andrianasolo, Fety, Asseng, Senthold, Basso, Bruno, Buis, Samuel, Crout, Neil, Dibari, Camilla, Dumont, Benjamin, Ferrise, Roberto, Gaiser, Thomas, Garcia, Cecile, Gayler, Sebastian, Ghahramani, Afshin, Hiremath, Santosh, Hoek, Steven, Horan, Heidi, Hoogenboom, Gerrit, Huang, Mingxia, Jabloun, Mohamed, Jansson, Per-Erik, Jing, Qi, Justes, Eric, Kersebaum, Kurt Christian, Klosterhalfen, Anne, Launay, Marie, Lewan, Elisabet, Luo, Qunying, Maestrini, Bernardo, Mielenz, Henrike, Moriondo, Marco, Nariman Zadeh, Hasti, Padovan, Gloria, Olesen, Jørgen Eivind, Poyda, Arne, Priesack, Eckart, Pullens, Johannes Wilhelmus Maria, Qian, Budong, Schütze, Niels, Shelia, Vakhtang, Souissi, Amir, Specka, Xenia, Srivastava, Amit Kumar, Stella, Tommaso, Streck, Thilo, Trombi, Giacomo, Wallor, Evelyn, Wang, Jing, Weber, Tobias K.D., Weihermüller, Lutz, de Wit, Allard, Wöhling, Thomas, Xiao, Liujun, Zhao, Chuang, Zhu, Yan, and Seidel, Sabine J.

Published
2021
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24. Multi-model evaluation of phenology prediction for wheat in Australia

Author

Wallach, Daniel, Palosuo, Taru, Thorburn, Peter, Hochman, Zvi, Andrianasolo, Fety, Asseng, Senthold, Basso, Bruno, Buis, Samuel, Crout, Neil, Dumont, Benjamin, Ferrise, Roberto, Gaiser, Thomas, Gayler, Sebastian, Hiremath, Santosh, Hoek, Steven, Horan, Heidi, Hoogenboom, Gerrit, Huang, Mingxia, Jabloun, Mohamed, Jansson, Per-Erik, Jing, Qi, Justes, Eric, Kersebaum, Kurt Christian, Launay, Marie, Lewan, Elisabet, Luo, Qunying, Maestrini, Bernardo, Moriondo, Marco, Olesen, Jørgen Eivind, Padovan, Gloria, Poyda, Arne, Priesack, Eckart, Pullens, Johannes Wilhelmus Maria, Qian, Budong, Schütze, Niels, Shelia, Vakhtang, Souissi, Amir, Specka, Xenia, Kumar Srivastava, Amit, Stella, Tommaso, Streck, Thilo, Trombi, Giacomo, Wallor, Evelyn, Wang, Jing, Weber, Tobias K.D., Weihermüller, Lutz, de Wit, Allard, Wöhling, Thomas, Xiao, Liujun, Zhao, Chuang, Zhu, Yan, and Seidel, Sabine J

Published
2021
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28. CPBMF65, a synthetic human uridine phosphorylase-1 inhibitor, reduces HepG2 cell proliferation through cell cycle arrest and senescence

Author

da Silva, Elisa Feller Gonçalves, Lima, Kelly Goulart, Krause, Gabriele Catyana, Haute, Gabriela Viegas, Pedrazza, Leonardo, Catarina, Anderson Velasque, Gassen, Rodrigo Benedetti, de Souza Basso, Bruno, Dias, Henrique Bregolin, Luft, Carolina, Garcia, Maria Claudia Rosa, Costa, Bruna Pasqualotto, Antunes, Géssica Luana, Basso, Luiz Augusto, Donadio, Márcio Vinícius Fagundes, Machado, Pablo, and de Oliveira, Jarbas Rodrigues

Published
2020
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31. Simulation of maize evapotranspiration: An inter-comparison among 29 maize models

Author

Kimball, Bruce A., Boote, Kenneth J., Hatfield, Jerry L., Ahuja, Laj R., Stockle, Claudio, Archontoulis, Sotirios, Baron, Christian, Basso, Bruno, Bertuzzi, Patrick, Constantin, Julie, Deryng, Delphine, Dumont, Benjamin, Durand, Jean-Louis, Ewert, Frank, Gaiser, Thomas, Gayler, Sebastian, Hoffmann, Munir P., Jiang, Qianjing, Kim, Soo-Hyung, Lizaso, Jon, Moulin, Sophie, Nendel, Claas, Parker, Philip, Palosuo, Taru, Priesack, Eckart, Qi, Zhiming, Srivastava, Amit, Stella, Tommaso, Tao, Fulu, Thorp, Kelly R., Timlin, Dennis, Twine, Tracy E., Webber, Heidi, Willaume, Magali, and Williams, Karina

Published
2019
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33. Shifts in controls and abundance of particulate and mineral-associated organic matter fractions among subfield yield stability zones.

Author

Leuthold, Sam J., Lavallee, Jocelyn M., Basso, Bruno, Brinton, William F., and Cotrufo, M. Francesca

Subjects
SUSTAINABLE agriculture, CROPPING systems, ORGANIC compounds, AGRICULTURE, SYSTEM dynamics
Abstract

Spatiotemporal yield heterogeneity presents a significant challenge to agricultural sustainability efforts and can strain the economic viability of farming operations. Increasing soil organic matter (SOM) has been associated with increased crop productivity, as well as the mitigation of yield variability across time and space. Observations at the regional scale have indicated decreases in yield variability with increasing SOM. However, the mechanisms by which this variability is reduced remain poorly understood, especially at the farm scale. To better understand the relationship between SOM and yield heterogeneity, we examined its distribution between particulate organic matter (POM) and mineral-associated organic matter (MAOM) at the subfield scale within nine farms located in the central United States. We expected that the highest SOM concentrations would be found in stable, high-yielding zones and that the SOM pool in these areas would have a higher proportion of POM relative to other areas in the field. In contrast to our predictions, we found that unstable yield areas had significantly higher SOM than stable yield areas and that there was no significant difference in the relative contribution of POM to total SOM across different yield stability zones. Our results further indicate that MAOM abundance was primarily explained by interactions between crop productivity and edaphic properties such as texture, which varied amongst stability zones. However, we were unable to link POM abundance to soil properties or cropping system characteristics. Instead, we posit that POM dynamics in these systems may be controlled by differences in decomposition patterns between stable and unstable yield zones. Our results show that, at the subfield scale, increasing SOM may not directly confer increased yield stability. Instead, in fields with high spatiotemporal yield heterogeneity, SOM stocks may be determined by interactive effects of topography, weather, and soil characteristics on crop productivity and SOM decomposition. These findings suggest that POM has the potential to be a useful indicator of yield stability, with higher POM stocks in unstable zones, and highlights the need to consider these factors during soil sampling campaigns, especially when attempting to quantify farm-scale soil C stocks. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Urban water sustainability : framework and application

Author

Yang, Wu, Hyndman, David W., Winkler, Julie A., Viña, Andrés, Deines, Jillian M., Lupi, Frank, Luo, Lifeng, Li, Yunkai, Basso, Bruno, Zheng, Chunmiao, Ma, Dongchun, Li, Shuxin, Liu, Xiao, Zheng, Hua, Cao, Guoliang, Meng, Qingyi, Ouyang, Zhiyun, and Liu, Jianguo

Published
2016

39. Shifts in controls and abundance of particulate and mineral-associated organic matter fractions among subfield yield stability zones.

Author

Leuthold, Sam J., Lavallee, Jocelyn M., Basso, Bruno, Brinton, William F., and Cotrufo, M. Francesca

Subjects
CROPPING systems, ORGANIC compounds, AGRICULTURE, FARM size, SYSTEM dynamics, SOIL sampling
Abstract

Spatiotemporal yield heterogeneity presents a significant challenge to agricultural sustainability efforts and can strain the economic viability of farming operations. Increasing soil organic matter (SOM) has been associated with increased crop productivity, as well as the mitigation of yield variability across time and space. Observations at the regional scale have indicated decreases in yield variability with increasing SOM, however the mechanisms by which this variability is reduced remain poorly understood, especially at the farm scale. To better understand the relationship between SOM and yield heterogeneity, we examined its distribution between particulate organic matter (POM) and mineral associated organic matter (MAOM), at the sub-field scale within 9 farms located in the central United States. We expected that the highest SOM concentrations would be found in stable, high-yielding zones, and that the SOM pool in these areas would have a higher proportion of POM relative to other areas in the field. In contrast to our predictions, we found that unstable yield areas had significantly higher SOM than stable yield areas, and that there was no significant difference in the relative contribution of POM to total SOM across different yield stability zones. Our results further indicate that MAOM abundance was primarily explained by interactions between crop productivity and edaphic properties such as texture, which varied amongst stability zones. However, we were unable to link POM abundance to soil properties or cropping system characteristics. Instead, we posit that POM dynamics in these systems may be controlled by differences in decomposition patterns between stable and unstable yield zones. Our results show that, at the subfield scale, increasing SOM may not directly confer increased yield stability. Instead, in fields with high spatiotemporal yield heterogeneity, SOM stocks may be determined by interactive effects of topography, weather, and soil characteristics on crop productivity and SOM decomposition. These findings suggest that POM has the potential to be a useful indicator of yield stability, with higher POM stocks in unstable zones, and highlights the need to consider these factors during soil sampling campaigns, especially when attempting to quantify farm-scale soil C stocks. [ABSTRACT FROM AUTHOR]

Published
2023
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40. Supply chain system for a centralized biorefinery system based on switchgrass grown on marginal land in Michigan.

Author

Kim, Seungdo, Dale, Bruce E., Basso, Bruno, Thelen, Kurt, and Maravelias, Christos T.

Subjects
SWITCHGRASS, SUPPLY chains, GREENHOUSE gas mitigation, TAX credits, CARBON sequestration, CARBON taxes
Abstract

The feedstock supply chain of a biorefinery is critical in determining the economic and environmental performance of biofuels. This study investigated various feedstock supply chains for a centralized biorefinery based on different objective functions and how the biorefinery responds to supply chain volatility. For the analysis, a hypothetical centralized biorefinery was supplied by switchgrass grown on marginal lands in Michigan. From an economic standpoint, the minimum biofuel selling price is an important metric of the objective function, and the greenhouse gas mitigation potential is a similarly important metric for global warming impact. A trade‐off therefore exists between the economic and environmental performance of biofuels under this system configuration. However, when a carbon tax credit is applied to soil organic carbon sequestration in switchgrass production, the metric of the objective function may not be the key factor in establishing a supply chain as long as it is associated with biorefinery capacity as well as economic or environmental values. Year‐to‐year fluctuations in cellulosic biomass yield (supply chain volatility) might also prevent the biorefinery from operating at full capacity. Cellulosic biomass pellets can serve as an auxiliary feedstock for the centralized cellulosic biorefinery system to minimize the impacts of supply chain volatility. [ABSTRACT FROM AUTHOR]

Published
2023
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41. Spatial sampling of weather data for regional crop yield simulations

Author

van Bussel, Lenny G.J., Ewert, Frank, Zhao, Gang, Hoffmann, Holger, Enders, Andreas, Wallach, Daniel, Asseng, Senthold, Baigorria, Guillermo A., Basso, Bruno, Biernath, Christian, Cammarano, Davide, Chryssanthacopoulos, James, Constantin, Julie, Elliott, Joshua, Glotter, Michael, Heinlein, Florian, Kersebaum, Kurt-Christian, Klein, Christian, Nendel, Claas, Priesack, Eckart, Raynal, Hélène, Romero, Consuelo C., Rötter, Reimund P., Specka, Xenia, and Tao, Fulu

Published
2016
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47. Low-intensity pulsed ultrasound (LIPUS) stimulates mineralization of MC3T3-E1 cells through calcium and phosphate uptake

Author

Tassinary, João Alberto Fioravante, Lunardelli, Adroaldo, de Souza Basso, Bruno, Dias, Henrique Bregolin, Catarina, Anderson Velasque, Stülp, Simone, Haute, Gabriela Viegas, Martha, Bianca Andrade, da Silva Melo, Denizar Alberto, Nunes, Fernanda Bordignon, Donadio, Márcio Vinícius Fagundes, and de Oliveira, Jarbas Rodrigues

Published
2018
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48. Optimizing Sampling Strategies for Near-Surface Soil Carbon Inventory: One Size Doesn't Fit All.

Author

Bettigole, Charles, Hanle, Juliana, Kane, Daniel A., Pagliaro, Zoe, Kolodney, Shaylan, Szuhay, Sylvana, Chandler, Miles, Hersh, Eli, Wood, Stephen A., Basso, Bruno, Goodwin, Douglas Jeffrey, Hardy, Shane, Wolf, Zachary, and Covey, Kristofer R.

Subjects
CARBON in soils, LATIN hypercube sampling, RANGE management, INVENTORIES, SOIL sampling
Abstract

Soils comprise the largest pool of terrestrial carbon yet have lost significant stocks due to human activity. Changes to land management in cropland and grazing systems present opportunities to sequester carbon in soils at large scales. Uncertainty in the magnitude of this potential impact is largely driven by the difficulties and costs associated with measuring near-surface (0–30 cm) soil carbon concentrations; a key component of soil carbon stock assessments. Many techniques exist to optimize sampling, yet few studies have compared these techniques at varying sample intensities. In this study, we performed ex-ante, high-intensity sampling for soil carbon concentrations at four farms in the eastern United States. We used post hoc Monte-Carlo bootstrapping to investigate the most efficient sampling approaches for soil carbon inventory: K-means stratification, Conditioned Latin Hypercube Sampling (cLHS), simple random, and regular grid. No two study sites displayed similar patterns across all sampling techniques, although cLHS and grid emerged as the most efficient sampling schemes across all sites and strata sizes. The number of strata chosen when using K-means stratification can have a significant impact on sample efficiency, and we caution future inventories from using small strata n, while avoiding even allocation of sample between strata. Our findings reinforce the need for adaptive sampling methodologies where initial site inventory can inform primary, robust inventory with site-specific sampling techniques. [ABSTRACT FROM AUTHOR]

Published
2023
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49. Global warming intensity of biofuel derived from switchgrass grown on marginal land in Michigan.

Author

Kim, Seungdo, Dale, Bruce E., Martinez‐Feria, Rafael, Basso, Bruno, Thelen, Kurt, Maravelias, Christos T., Landis, Douglas, Lark, Tyler J., and Robertson, G. Philip

Subjects
SWITCHGRASS, BIOMASS energy, GLOBAL warming, ENERGY crops, ALTERNATIVE fuels, CLIMATE change mitigation
Abstract

Energy crops for biofuel production, especially switchgrass (Panicum virgatum), are of interest from a climate change perspective. Here, we use outputs from a crop growth model and life cycle assessment (LCA) to examine the global warming intensity (GWI; g CO2 MJ−1) and greenhouse gas (GHG) mitigation potential (Mg CO2 year−1) of biofuel systems based on a spatially explicit analysis of switchgrass grown on marginal land (abandoned former cropland) in Michigan, USA. We find that marginal lands in Michigan can annually produce over 0.57 hm3 of liquid biofuel derived from nitrogen‐fertilized switchgrass, mitigating 1.2–1.5 Tg of CO2 year−1. About 96% of these biofuels can meet the Renewable Fuel Standard (60% reduction in lifecycle GHG emissions compared with conventional gasoline; GWI ≤37.2 g CO2 MJ−1). Furthermore, 73%–75% of these biofuels are carbon‐negative (GWI less than zero) due to enhanced soil organic carbon (SOC) sequestration. However, simulations indicate that SOC levels would fail to increase and even decrease on the 11% of lands where SOC stocks >>200 Mg C ha−1, leading to carbon intensities greater than gasoline. Results highlight the strong climate mitigation potential of switchgrass grown on marginal lands as well as the needs to avoid carbon rich soils such as histosols and wetlands and to ensure that productivity will be sufficient to provide net mitigation. [ABSTRACT FROM AUTHOR]

Published
2023
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