Universität Bonn

INRES Crop Science

Murilo dos Santos Vianna

Scientific Staff

Avatar dos Santos Vianna

Murilo dos Santos Vianna


Katzenburgweg 5

53115 Bonn

+49 228 73-3262

Environmental engineer graduated at PUC-Campinas, with MSc and PhD in Agricultural Systems Engineering from ESALQ/USP. Has over 10 years of experience in agrometeorology, crop modelling and climate risk. Former group leader of the Group of Research and Experimentation in Agricultural Modelling (GEPEMA) at ESALQ/USP. Was a guest PhD researcher at Wageningen University in 2016, developing 1D agrohydrological and 3D Functional-Structural Plant models for sugarcane. In 2018, was a Researcher at FarmersEdge developing dynamic models for precision agriculture applications. From 2019, has worked as a postdoctoral researcher at University of Campinas (UNICAMP/FEAGRI) and University of Leeds (CIG), focusing on modelling the climate impacts on crops. Currently is a scientific staff at the Institute of Crop Science and Resource Conservation (INRES), University of Bonn, where has been developing the SIMPLACE modelling platform. Has proficiency in crop modelling, HPC, programming languages (R, Python, FORTRAN, VBA), version control (git), GIS, agrometeorology and soil-plant-atmosphere biophysics.

  • AgMIP

Here's a list of my last ten publications:

  1. Vieira Junior NA, Evers J, dos Santos Vianna M, Pedreira BC e., Pezzopane JRM, Marin FR. Understanding the arrangement of Eucalyptus-Marandu palisade grass silvopastoral systems in Brazil. Agric Syst. 2022;196: 103316.
  2. Attia A, El-Hendawy S, Al-Suhaibani N, Tahir MU, Mubushar M, Vianna M dos S, et al. Sensitivity of the DSSAT model in simulating maize yield and soil carbon dynamics in arid Mediterranean climate: Effect of soil, genotype and crop management. Field Crops Res. 2021;260: 107981.
  3. Zeri M, Williams K, Cunha APMA, Cunha-Zeri G, Vianna MS, Blyth EM, et al. Importance of including soil moisture in drought monitoring over the Brazilian semiarid region: An evaluation using the JULES model, in situ observations, and remote sensing. Climate Resilience and Sustainability. 2021. doi:10.1002/cli2.7
  4. Pereira RA de A, Vianna M dos S, Nassif DSP, Carvalho K dos S, Marin FR. Global sensitivity and uncertainty analysis of a sugarcane model considering the trash blanket effect. Eur J Agron. 2021;130: 126371.
  5. Marengo JA, Galdos MV, Challinor A, Cunha AP, Marin FR, Vianna M dos S, et al. Drought in Northeast Brazil: A review of agricultural and policy adaptation options for food security. Climate Resilience. 2021. doi:10.1002/cli2.17
  6. Monteiro LA, Allee AM, Campbell EE, Lynd LR, Soares JR, Jaiswal D, et al. Assessment of yield gaps on global grazed-only permanent pasture using climate binning. Glob Chang Biol. 2020;26: 1820–1832.
  7. Marin FR, Inman-Bamber G, Silva TGF, Vianna MS, Nassif DSP, Carvalho KS. Sugarcane evapotranspiration and irrigation requirements in tropical climates. Theor Appl Climatol. 2020;140: 1349–1357.
  8. Vianna M dos S, Nassif DSP, dos Santos Carvalho K, Marin FR. Modelling the trash blanket effect on sugarcane growth and water use. Computers and Electronics in Agriculture. 2020. p. 105361. doi:10.1016/j.compag.2020.105361
  9. Oliveira J, Campbell EE, Lamparelli RAC, Figueiredo GKDA, Soares JR, Jaiswal D, et al. Choosing pasture maps: An assessment of pasture land classification definitions and a case study of Brazil. Int J Appl Earth Obs Geoinf. 2020;93: 102205.
  10. Bonamigo AFC, Oliveira J de C, Lamparelli RAC, Figueiredo GKDA, Campbell EE, Soares JR, et al. Mapping Pasture Areas In Western Region Of SÃO Paulo State, Brazil. 2020 IEEE Latin American GRSS ISPRS Remote Sensing Conference (LAGIRS). 2020. pp. 681–686.

A full list of publications and projects can be found on my ORCID44 or Lattes55 webpages.

  • Co-supervision of graduate students
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