Bruno Basso
John A. Hannah Distinguished Professor | Michigan State University
East Lansing, MI, UNITED STATES
Bruno Basso's research deals mainly with water, carbon, nitrogen cycling & modeling in agro-ecosystems.
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Biography
Bruno Basso's research deals mainly with water, carbon, nitrogen cycling and modeling in agro-ecosystems for sustainable intensification and long-term sustainability. He uses geospatial analysis and tools linked to crop modeling.
During his carrier, Dr. Basso has participated as PI and Co-PI in several international projects. He is the author of more than 150 publications (Books written (2); chapters of books (6); technical refereed papers (47); Technical papers non refereed (98); invited keynote lectures (30).
Areas of Expertise (5)
Sustainabile Intensification
Nitrogren
Water
Carbon
Agro-Ecosystems
Accomplishments (6)
Innovation of the Year, Michigan State University Technology (professional)
2016
Fellow of the Soil Science Society of America (professional)
2015
Fellow of the American Society of Agronomy (professional)
2013
Pierre Robert Precision Agriculture Award” ICPA (professional)
2010
L.Frederick Lloyd Soil Teaching Award” ASA-SSSA-CSSA (professional)
2008
L.R. Ahuja Agricultural System Modeling Award” ASA-SSSA-CSSA (professional)
2007
Education (1)
Michigan State University: PhD, Crop and Soil Sciences 2000
Links (3)
News (4)
Carbon storage offers hope for climate - and cash for farmers
New York Post online
2021-05-21
Farmers increasingly have been growing offseason cereals and grasses to prevent erosion and improve soil. Now, they're gaining currency as weapons against climate change. Experts believe keeping ground covered year-round rather than bare in winter is among practices that could reduce emissions of planet-warming gases while boosting the agricultural economy, if used far more widely.
Midwest can adapt to climate change through soil management
AGDAILY online
2021-03-10
Farmers in the Midwest may be able to bypass the warming climate not by getting more water for their crops but rather by adapting to climate change through soil management, says a new study from Michigan State University. “The Midwest supplies 30% of the world's corn and soybeans,” said Bruno Basso, an ecosystems scientist and MSU Foundation Professor in the Department of Earth and Environmental Sciences within the College of Natural Science.
Michigan State researchers go high-tech to refine farming
Big Ten Network online
2020-04-15
"We face a global paradox, that we have to produce more food with less land and under the tract of increased climate variability and extreme events that we witness just about every year now," says Bruno Basso, a professor in the Department of Earth and Environmental Sciences and lead researcher at the Digital Agricultural System Lab. "Compared to the past where the goal was only increasing production, we have to allow resources to be maintained more with integrity for the next generation, to continue to produce food."
Warming Planet Could Mean Bigger Corn Crops for U.S.
Bloomberg online
2018-05-17
While hotter weather generally threatens to sap crops of needed moisture, data from Midwest corn-growing states suggests the region will see warmer summers with more humidity, which would aid plant growth and yields, according to a study by Michigan State University researchers Bruno Basso and Joe Ritchie.
Patents (1)
Methods and systems for precision crop management
US 12079874
2024 The disclosure relates to methods and related systems for precision crop modeling and management using the same. Precision crop modeling and management can be incorporated into various methods for growing plants such as crop plants and various methods for managing the growth of such plants in a particular field. The methods generally utilize in-season information relating to weather conditions actually experienced by the field to prepare mid-season, updated crop management plans. A crop management plan is determined using a crop model incorporating a variety of inputs and plant-specific material and energy balances to specify one or more grower-controlled management parameters. An updated plan for a given field can be followed by a grower to increase crop yield and/or optimize one or more other crop or field parameters.
Journal Articles (5)
Winter Wheat Experiments to Optimize Sowing Dates and Densities in a High-Yielding Environment in New Zealand: Field Experiments and AgMIP-Wheat Multi-Model Simulations
Open Data Journal for Agricultural Research2024 This paper describes the data set that was used to test the accuracy of twenty-nine crop models in simulating the effect of changing sowing dates and sowing densities on wheat productivity for a high-yielding environment in New Zealand. The data includes one winter wheat cultivar (Wakanui) grown during six consecutive years, from 2012-2013 to 2017-2018, at two farms located in Leeston and Wakanui in Canterbury, New Zealand. The simulations were carried out in the framework of the Agricultural Model Intercomparison and Improvement Project for wheat (AgMIP-Wheat).
Corn yield response to phosphorus fertilizer in Michigan: a metamodeling approach for phosphorus management policies
Journal of Agriculture and Food Research2024 Phosphorus (P) pollution from nonpoint sources is a persistent agricultural externality. P fertilizer use in excess of crop removal leads to soil P accumulation and increases chance of P runoff from agricultural fields. For fertilizer-intensive crops such as corn, effective nutrient management can partly mitigate the externality associated with fertilizer use. In states such as Michigan with abundant freshwater resources that are vulnerable to P pollution and where corn is grown intensively, understanding yield response is instrumental for P management policies. We analyze corn yield response to P fertilizer and control for soil P
Uncertainties in greenhouse gas emission factors: A comprehensive analysis of switchgrass‐based biofuel production
GCB Bioenergy2024 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.
Simulation of soil temperature under maize: An inter-comparison among 33 maize models
Agricultural and Forest Meteorology2024 Accurate simulation of soil temperature can help improve the accuracy of crop growth models by improving the predictions of soil processes like seed germination, decomposition, nitrification, evaporation, and carbon sequestration. To assess how well such models can simulate soil temperature, herein we present results of an inter-comparison study of 33 maize (Zea mays L.) growth models. Among the 33 models, four of the modeling groups contributed results using differing algorithms or “flavors” to simulate evapotranspiration within the same overall model family
Shifts in controls and abundance of particulate and mineral-associated organic matter fractions among subfield yield stability zones
SOIL2024 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.
