Matheus Massariol Suela | Crop Science | Best Researcher Award

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Mr Matheus Massariol Suela |  Crop Science |  Best Researcher Award

PhD Candidate at  Federal University of Viçosa (UFV)/University of Florida (UF), United States

Matheus Massariol Suela is a Ph.D. candidate in Genetics and Breeding based in Viçosa, Brazil. A Brazilian national born on March 22, 1997, Matheus is a dedicated researcher with a focus on quantitative genetics. His expertise includes applying statistical methods in Genome-Wide Association Studies (GWAS) and Genomic Selection (GWS), key approaches in understanding genetic variation and improving breeding programs.

Profile:

Education:

  • Ph.D. in Genetics and Breeding (July 2021 – Present), Federal University of Viçosa
    Project: Structural Equation Models for genome-wide studies in Glycine max and Coffea arabica.
  • Sandwich Ph.D. Period (May 2024 – Present), University of Florida
    Focus: Quantitative genetics for blueberry and coffee breeding, with Ph.D. Patricio Muñoz and Ph.D. Felipe Ferrão.
  • M.Sc. in Genetics and Breeding (March 2020 – June 2021), Federal University of Viçosa
  • B.Sc. in Agronomy (March 2015 – December 2019), Federal University of Viçosa
  • Agricultural Technician (March 2012 – December 2014), Federal Institute of Espírito Santo – Campus Itapina

Research and Professional Experience:

  • Extensive experience in genome-wide association studies (GWAS) and genomic selection (GWS) using Structural Equation Models (SEM) and Bayesian networks.
  • Currently researching and implementing advanced genetic approaches in blueberry and coffee breeding.
  • Internship and project participation in agronomic and breeding-focused programs, including Agroconsult’s Harvest Rally and research on traits in rice, soy, and coffee.

Computational Skills:

  • Programming: Advanced R, Intermediate C, Basic Python
  • Data Analysis Tools: Power BI, Office Suite (Excel, Word, PowerPoint)
  • Developed Software: ECERSEM-AdaptStab (Structural Equation Models for adaptability and stability analysis in crop breeding)

Awards and Recognitions:

  • 2nd Place – GDM Innovation Award 40 years, 2023
  • Silver Medal – Presidente Arthur da Silva Bernardes for academic performance in Agronomy, 2020
  • 2nd Place – Brazilian Agricultural Olympics, 2014

Publication Top Notes 📚

  1. Integrating Environmental Covariates into Adaptability and Stability Analyses: A Structural Equation Modeling Approach for Cotton Breeding
    Agriculture, 2024-10-28 | DOI: 10.3390/agriculture14111914
  2. Updating knowledge in estimating the genetics parameters: Multi-trait and Multi-Environment Bayesian analysis in rice
    Scientia Agricola, 2023 | DOI: 10.1590/1678-992x-2022-0056
  3. Genome-wide association study for morphological, physiological, and productive traits in Coffea arabica using structural equation models
    Tree Genetics & Genomes, 2023-06 | DOI: 10.1007/s11295-023-01597-8
  4. Regional heritability mapping and genome‐wide association identify loci for rice traits
    Crop Science, 2022-03 | DOI: 10.1002/csc2.20706
  5. Structural equation models for genome-wide association study in Coffea arabica
    2021-07-27 | DOI: 10.47328/ufvbbt.2021.164
  6. Combined index of genomic prediction methods applied to productivity
    Ciência Rural, 2019 | DOI: 10.1590/0103-8478cr20181008
  7. New insights into genomic selection through population-based non-parametric prediction methods
    Scientia Agricola, 2019-07 | DOI: 10.1590/1678-992x-2017-0351

 

Seyed Abdolreza Kazemeini | Crop Production | Best Researcher Award

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Prof Seyed Abdolreza Kazemeini |  Crop Production |  Best Researcher Award

Faculty of Agriculture at  Shiraz University, Iran

Dr. Seyed Abdolreza Kazemeini is a distinguished faculty member in the Plant Production and Genetics Department at Shiraz University, Iran. Born on August 7, 1967, Dr. Kazemeini has dedicated over 30 years to the field of crop production, focusing on biotic and abiotic stress and biostimulants. He earned his Ph.D. in Crop Production from Shiraz University in 2008, where he also completed his M.Sc. and B.A. in Agronomy.

Profile:

Educational Background:

Ph.D. in Crop Production, Shiraz University, Iran (2004-2008). M.Sc. in Agronomy, Shiraz University, Iran (1998-2000). B.A. in Agronomy, Shiraz University, Iran (1986-1990)

Professional Experience

Total Experience: 30 Years. Head of Agricultural College Agronomy Station: Since 2006. Head of Plant Production and Genetics Department: 2011-2014. In Charge of Agriculture Station and Research Center, Shiraz University College: 20 Years

Teaching and Supervision

Courses Taught: Various undergraduate and graduate courses in agronomy and crop production. Graduate Supervision: Supervising 7 MSc and PhD students; involved in 10 student programs and 6 PhD thesis projects as an advisory committee member. Research Projects Supervised: Over 170 graduate-level research projects

Skills and Competencies

Data Analysis Software: Excel, SAS, Minitab, OriginPro. Research and Development: Supervision of PhD, MSc, and BSc students; development of research around new technologies Analytical Lab Experience: Advanced research and analysis

Research Focus: Crop Production

Dr. Seyed Abdolreza Kazemeini, a faculty member in the Plant Production and Genetics Department at Shiraz University, Shiraz, Iran, has dedicated his research to advancing the field of crop production. His work is particularly focused on addressing critical issues related to biotic and abiotic stress, and the application of biostimulants.

Key Areas of Research: Biotic and Abiotic Stress Management: Abiotic Stress: Investigating the impact of various environmental stresses such as drought, salinity, and extreme temperatures on crop yield and quality. Developing strategies to enhance plant resilience through genetic and agronomic approaches. Biotic Stress: Studying plant-pathogen interactions, pest resistance, and the use of biological control methods to manage diseases and pests in crops. Biostimulants: Exploring the use of biostimulants to enhance crop growth, yield, and stress tolerance. This includes the application of natural and synthetic compounds that can improve plant health and productivity under stress conditions. Crop Physiology and Agronomy: Examining the physiological responses of crops to various environmental factors and management practices. This includes nutrient management, water use efficiency, and the optimization of planting techniques to maximize yield and sustainability. Weed Science: Researching effective weed management strategies to minimize competition and improve crop performance. This involves studying the biology of weeds, their impact on crops, and the development of integrated weed management practices.

Citations:

  • Total Citations: 1663
  • Citations Since 2019: 1167
  • H-index: 17
  • H-index Since 2019: 14
  • i10-index: 33
  • i10-index Since 2019: 29

Publication Top Notes:

  1. Effect of Organic and Inorganic Fertilizers on Grain Yield and Protein Banding Pattern of Wheat
    • Year: 2010
    • Citations: 339
  2. Wheat Yield and Grain Protein Response to Nitrogen Amount and Timing
    • Year: 2011
    • Citations: 242
  3. Changes in Soil Properties and Productivity Under Different Tillage Practices and Wheat Genotypes: A Short-Term Study in Iran
    • Year: 2018
    • Citations: 83
  4. The Impact of Nitrogen and Organic Matter on Winter Canola Seed Yield and Yield Components
    • Year: 2010
    • Citations: 76
  5. The Role of ACC Deaminase Producing Bacteria in Improving Sweet Corn (Zea mays L. var saccharata) Productivity Under Limited Availability of Irrigation Water
    • Year: 2020
    • Citations: 68
  6. Interaction Effects of Deficit Irrigation and Row Spacing on Sunflower (Helianthus annuus L.) Growth, Seed Yield and Oil Yield
    • Year: 2009
    • Citations: 68
  7. Feasibility of Satellite and Drone Images for Monitoring Soil Residue Cover
    • Year: 2020
    • Citations: 44
  8. Evaluation of Drought Tolerance in Rapeseed (Brassica napus L.) Cultivars Using Drought Tolerance Indices
    • Year: 2014
    • Citations: 34
  9. Forage Yield and Quality as Affected by Salt Stress in Different Ratios of Sorghum bicolor-Bassia indica Intercropping
    • Year: 2020
    • Citations: 31
  10. Improving Sweet Corn (Zea mays L. var saccharata) Growth and Yield Using Pseudomonas fluorescens Inoculation Under Varied Watering Regimes
    • Year: 2019
    • Citations: 28