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Your search keyword '"Basso, Bruno"' showing total 18 results
Start Over Author "Basso, Bruno" Journal european journal of agronomy
18 results on '"Basso, Bruno"'

1. 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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4. How Accurately Do Maize Crop Models Simulate the Interactions of Atmospheric CO2 Concentration Levels With Limited Water Supply on Water Use and Yield?

Author

Durand, Jean-Louis, Delusca, Kenel, Boote, Ken, Lizaso, Jon, Manderscheid, Remy, Weigel, Hans Johachim, Ruane, Alexander Clark, Rosenzweig, Cynthia E, Jones, Jim, Ahuja, Laj, Anapalli, Saseendran, Basso, Bruno, Baron, Christian, Bertuzzi, Patrick, Biernath, Christian, Deryng, Delphine, Ewert, Frank, Gaiser, Thomas, Gayler, Sebastian, Heilein, Florian, Kersebaum, Kurt Christian, Kim, Soo-Hyung, Muller, Christoph, Nendel, Claas, Olioso, Albert, Priesack, Eckart, Villegas, Julian Ramirez, Ripoche, Dominique, Rotter, Reimund P, Seidel, Sabine I, Srivastava, Amit, Tao, Fulu, Timlin, Dennis, Twine, Tracy, Wang, Enli, Webber, Heidi, and Zhao, Zhigan

Subjects
Earth Resources And Remote Sensing, Statistics And Probability, Meteorology And Climatology
Abstract

This study assesses the ability of 21 crop models to capture the impact of elevated CO2 concentration [CO2] on maize yield and water use as measured in a 2-year Free Air Carbon dioxide Enrichment experiment conducted at the Thunen Institute in Braunschweig, Germany (Manderscheid et al. 2014). Data for ambient [CO2] and irrigated treatments were provided to the 21 models for calibrating plant traits, including weather, soil and management data as well as yield, grain number, above ground biomass, leaf area index, nitrogen concentration in biomass and grain, water use and soil water content. Models differed in their representation of carbon assimilation and evapotranspiration processes. The models reproduced the absence of yield response to elevated [CO2] under well-watered conditions, as well as the impact of water deficit at ambient [CO2], with 50 percent of models within a range of plus/minus 1 Mg ha(exp. -1) around the mean. The bias of the median of the 21 models was less than 1 Mg ha(exp. -1). However under water deficit in one of the two years, the models captured only 30 percent of the exceptionally high [CO2] enhancement on yield observed. Furthermore the ensemble of models was unable to simulate the very low soil water content at anthesis and the increase of soil water and grain number brought about by the elevated [CO2] under dry conditions. Overall, we found models with explicit stomatal control on transpiration tended to perform better. Our results highlight the need for model improvement with respect to simulating transpirational water use and its impact on water status during the kernel-set phase.

Published
2017
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5. How well do crop modeling groups predict wheat phenology, given calibration data from the target population?

Author

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

Published
2021
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6. How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?

Author

Durand, Jean-Louis, primary, Delusca, Kenel, additional, Boote, Ken, additional, Lizaso, Jon, additional, Manderscheid, Remy, additional, Weigel, Hans Johachim, additional, Ruane, Alex C, additional, Rosenzweig, Cynthia, additional, Jones, Jim, additional, Ahuja, Laj, additional, Anapalli, Saseendran, additional, Basso, Bruno, additional, Baron, Christian, additional, Bertuzzi, Patrick, additional, Biernath, Christian, additional, Deryng, Delphine, additional, Ewert, Frank, additional, Gaiser, Thomas, additional, Gayler, Sebastian, additional, Heinlein, Florian, additional, Kersebaum, Kurt Christian, additional, Kim, Soo-Hyung, additional, Müller, Christoph, additional, Nendel, Claas, additional, Olioso, Albert, additional, Priesack, Eckart, additional, Villegas, Julian Ramirez, additional, Ripoche, Dominique, additional, Rötter, Reimund P., additional, Seidel, Sabine I, additional, Srivastava, Amit, additional, Tao, Fulu, additional, Timlin, Dennis, additional, Twine, Tracy, additional, Wang, Enli, additional, Webber, Heidi, additional, and Zhao, Zhigan, additional

Published
2018
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7. Can conservation tillage mitigate climate change impacts in Mediterranean cereal systems? A soil organic carbon assessment using long term experiments

Author

Iocola, Ileana, primary, Bassu, Simona, additional, Farina, Roberta, additional, Antichi, Daniele, additional, Basso, Bruno, additional, Bindi, Marco, additional, Dalla Marta, Anna, additional, Danuso, Francesco, additional, Doro, Luca, additional, Ferrise, Roberto, additional, Giglio, Luisa, additional, Ginaldi, Fabrizio, additional, Mazzoncini, Marco, additional, Mula, Laura, additional, Orsini, Roberto, additional, Corti, Giuseppe, additional, Pasqui, Massimiliano, additional, Seddaiu, Giovanna, additional, Tomozeiu, Rodica, additional, Ventrella, Domenico, additional, Villani, Giulia, additional, and Roggero, Pier Paolo, additional

Published
2017
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17. Analyzing the effects of climate variability on spatial pattern of yield in a maize–wheat–soybean rotation

Author

Basso, Bruno, Bertocco, Matteo, Sartori, Luigi, and Martin, Edward C.

Subjects
*CLIMATE change, *CORN, *WHEAT, *SOYBEAN
Abstract

Abstract: The identification of homogeneous management zones within a field is crucial for variable rate application of agronomic inputs. This study proposed a methodology to identify homogeneous management zones within a 8ha field, based on the stability of measured and simulated yield patterns in a maize–soybean–wheat crop rotation in north-east Italy. Crop growth and yield were simulated over a 14-year period (1989–2002) using CERES-Maize, CROPGRO-Soybean and CERES-Wheat models to account for weather effects on yield spatial patterns. The overlay of long-term assessments of yield spatial and temporal data allowed for the identification of two stable zones with different yield levels, one with greater yield (called HS for high and stable yield) and one with lower yield (called LS for low and stable yield). The size of the HS zone identified using 14 years of simulated yield was smaller than the one obtained when considering only yield monitor data taken during the 5-year crop rotation. The LS zone was larger when using simulated data, confirming that the consistency of temporal stability increased by increasing the years considered. The models were able to closely simulate yield across the field when site-specific inputs were used, showing potential for use in yield map interpretation in the context of precision agriculture. Results showed that a combination of GIS tools and crop growth simulation models can be used to identify temporally stable zones, which is a fundamental prerequisite for adopting variable rate technologies. [Copyright &y& Elsevier]

Published
2007
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18. Can conservation tillage mitigate climate change impacts in Mediterranean cereal systems? A soil organic carbon assessment using long term experiments

Author

Fabrizio Ginaldi, Daniele Antichi, Roberto Orsini, Giuseppe Corti, Pier Paolo Roggero, Luca Doro, Roberto Ferrise, Marco Bindi, Giulia Villani, Bruno Basso, Roberta Farina, Rodica Tomozeiu, Marco Mazzoncini, Domenico Ventrella, Ileana Iocola, Luisa Giglio, Anna Dalla Marta, Laura Mula, Massimiliano Pasqui, Francesco Danuso, Giovanna Seddaiu, Simona Bassu, Iocola, Ileana, Bassu, Simona, Farina, Roberta, Antichi, Daniele, Basso, Bruno, Bindi, Marco, Dalla Marta, Anna, Danuso, Francesco, Doro, Luca, Ferrise, Roberto, Giglio, Luisa, Ginaldi, Fabrizio, Mazzoncini, Marco, Mula, Laura, Orsini, Roberto, Corti, Giuseppe, Pasqui, Massimiliano, Seddaiu, Giovanna, Tomozeiu, Rodica, Ventrella, Domenico, Villani, Giulia, and Roggero, Pier Paolo

Subjects
Mediterranean climate, 010504 meteorology & atmospheric sciences, Mitigation strategies, Model ensemble, Prediction, Soil organic carbon, Tillage, Wheat-maize rotation, Agronomy and Crop Science, Soil Science, Plant Science, Climate change, Mitigation strategie, 01 natural sciences, No-till farming, Cover crop, 0105 earth and related environmental sciences, Simulation modeling, 04 agricultural and veterinary sciences, Soil carbon, Agronomy, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, DSSAT, Environmental science
Abstract

Simulation models, informed and validated with datasets from long term experiments (LTEs), are considered useful tools to explore the effects of different management strategies on soil organic carbon (SOC) dynamics and evaluate suitable mitigative options for climate change. But, while there are several studies which assessed a better prediction of crop yields using an ensemble of models, no studies are currently available on the evaluation of a model ensemble on SOC stocks. In this study we assessed the advantages of using an ensemble of crop models (APSIM-NWheat, DSSAT, EPIC, SALUS), calibrated and validated with datasets from LTEs, to estimate SOC dynamics. Then we used the mean of the model ensemble to assess the impacts of climate change on SOC stocks under conventional (CT) and conservation tillage practices (NT: No Till; RT: Reduced Tillage). The assessment was completed for two long-term experiment sites (Agugliano – AN and Pisa – PI2 sites) in Italy under rainfed conditions. A durum wheat (Triticum turgidum subsp. durum (Desf.) Husn.) – maize (Zea mays L.) rotation system was evaluated under two different climate scenarios over the periods 1971–2000 (CP: Present Climate) and 2021–2050 (CF: Future Climate), generated by setting up a statistical model based on canonical correlation analysis. Our study showed a decrease of SOC stocks in both sites and tillage systems over CF when compared with CP. At the AN site, CT lost −7.3% and NT −7.9% of SOC stock (0–40 cm) under CF. At the PI2 site, CT lost −4.4% and RT −5.3% of SOC stocks (0–40 cm). Even if conservation tillage systems were more impacted under future scenarios, they were still able to store more SOC than CT, so that these practices can be considered viable options to mitigate climate change. Furthermore, at the AN site, under CF, NT demonstrated an annual increase of 0.4%, the target value suggested by the 4 per thousand initiative launched at the 21st meeting of the Conference of the Parties in Paris. However, RT at the PI2 needs to be coupled with other management strategies, as the introduction of cover crops, to achieve such target.

Published
2017

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