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Bruno Basso - Michigan State University. East Lansing, MI, US

Bruno Basso Bruno Basso

Ecosystems Scientist | Michigan State University

East Lansing, MI, UNITED STATES

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

News (5)

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. Agriculture generates about 10% of U.S. greenhouse gas emissions: methane from livestock, nitrous oxide from fertilizers, carbon dioxide from machinery. The critics told Congress that farmers who adopt the newer land management practices could abandon them later. Bruno Basso, a Michigan State University soil and plant scientist, said farmers are unlikely to resume old ways after seeing how the changes benefit their lands. Carbon storage methods and technology to assess their performance are improving, he added.

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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. “These crops are sensitive to temperature and water changes.” Previous studies have suggested that by 2050, the Midwest will need about 35 percent more water to sustain its current levels of corn and soybean yields. But research done by Basso and colleagues found that the data does not support this idea. The Midwest is in a unique location that typically receives ample rainfall and has deep soil, ideal for farming.

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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.

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What Satellites Can't See

AG Web  online

2018-04-12

For decades, government satellites have been taking detailed photographs of crops around the world that are now being tapped by traders like Cargill Inc. to gain an edge in global grain markets. But the U.S. Department of Agriculture -- the benchmark in forecasting domestic crops -- says the images by themselves still can’t be relied upon to predict annual corn, wheat or soybean harvests. Instead, the government’s main source of information remains farmer surveys and random field samples.

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Faculty Voice: Bruno Basso – Digital Agriculture

United States Department of Agriculture National Institute of Food and Agriculture  online

2017-07-12

Extreme weather events provide challenges for agriculture. Big data can help farmers improve management strategies for water, nutrients and evaluate the economics of smart agriculture technologies and practices. There is a limit to the amount of land we can use to grow food and, as the world’s population continues to grow, farmers will need to produce more food without increasing the amount of land they cultivate.

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Journal Articles (4)

N2O and CO2 emissions following repeated application of organic and mineral N fertiliser from a vegetable crop rotation

Science of The Total Environment

Daniele De Rosa, David W Rowlings, Johannes Biala, Clemens Scheer, Bruno Basso, Peter R Grace

2018 Accounting for nitrogen (N) release from organic amendments (OA) can reduce the use of synthetic N-fertiliser, sustain crop production, and potentially reduce soil borne greenhouse gases (GHG) emissions.

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Soil organic carbon and nitrogen feedbacks on crop yields under climate change

Agricultural & Environmental Letters

B Basso, et al.

2018 Soil organic carbon and nitrogen feedbacks on crop yields under climate change.

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Multi-model ensembles improve predictions of crop-environment-management interactions

Global Change Biology

B Basso, et al.

2018 Multi-model ensembles improve predictions of crop-environment-management interactions

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The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations

Open Data Journal for Agricultural Research

Bruno Basso, et al.

2018 The data set reported here includes the part of a Hot Serial Cereal Experiment (HSC) experiment recently used in the AgMIP-Wheat project to analyze the uncertainty of 30 wheat models and quantify their response to temperature. The HSC experiment was conducted in an open-field in a semiarid environment in the southwest USA.

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