Hemlata Jambhulkar | Environmental | Best Paper Award

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Mrs Hemlata Jambhulkar |  Environmental  |  Best Paper Award

Principal Technical Officer at  CSIR-NEERI,Nagpur, India

Mrs. Hemlata Padmakar Jambhulkar is a Principal Technical Officer at CSIR-NEERI, Nagpur, with a distinguished career in environmental engineering and over three decades of research experience. She holds an M.Sc. in Chemistry from Nagpur University and specializes in areas such as phytoremediation, soil remediation, wastewater management, and carbon sequestration. She is a life member of various scientific societies, including the Indian Women Scientist Association. Mrs. Jambhulkar has received several accolades, including the Dubai International Award for her contributions to ecological restoration and the Best Paper Award at the Women in Science meeting in 2007. Her work is instrumental in advancing sustainable environmental practices in India.

 

Publication Profile

Educational Qualifications:

  • M.Sc. in Chemistry (Physical, Environmental, Organic, Inorganic, Analytical), Nagpur University, 1989
  • B.Sc. in Microbiology, Botany, and Chemistry, Nagpur University, 1987

Research Experience:

Mrs. Jambhulkar has over three decades of experience in environmental research, particularly focusing on:

  • Phytoremediation of mining wastelands and degraded lands
  • Remediation of metal-contaminated soils
  • Bioaccumulation of heavy metals in plants on fly ash dumps
  • Management of wastewater through eco-friendly constructed wetlands
  • Carbon sequestration through afforestation
  • Wastewater recycling for agricultural and forestry applications

Memberships:

She is a life member of multiple professional bodies, including the Researchers Society of Chemical Sciences, Indian Network for Soil Contamination and Research (INSCR), Indian Water Resources Society, Indian Women Scientist Association, and Vigyan Bharati Vidarbha Pradesh Mandal.

Awards and Honors:

  • Dubai International Award (2007): Recognized for contributing to the project “Ecological restoration of degraded lands through biotechnological approaches.”
  • Best Paper Award (2007): For her work on “Assessment of bioaccumulation potential of heavy metals on fly ash dump” at the All India meeting of ‘Women in Science’ organized by the Indian Women Scientist Association.

Citations :

  • Total Citations: 385 (from 352 documents)
  • Publications: 6 documents
  • h-index: 5

Publication Top Notes

  1. “Eco-restoration approach for mine spoil overburden dump through biotechnological route”
    Authors: Jambhulkar, H.P., Kumar, M.S.
    Journal: Environmental Monitoring and Assessment, 2019, 191(12), 772
    Citations: 22
  2. “Fly ash toxicity, emerging issues and possible implications for its exploitation in agriculture; Indian scenario: A review”
    Authors: Jambhulkar, H.P., Shaikh, S.M.S., Kumar, M.S.
    Journal: Chemosphere, 2018, 213, pp. 333–344
    Citations: 115
  3. “Natural vs. reclaimed forests – a case study of successional change, reclamation technique and phytodiversity”
    Authors: Juwarkar, A.A., Singh, L., Singh, S.K., Thawale, P.R., Kanfade, H.
    Journal: International Journal of Mining, Reclamation and Environment, 2015, 29(6), pp. 476–498
    Citations: 5
  4. “Assessment of bioaccumulation of heavy metals by different plant species grown on fly ash dump”
    Authors: Jambhulkar, H.P., Juwarkar, A.A.
    Journal: Ecotoxicology and Environmental Safety, 2009, 72(4), pp. 1122–1128
    Citations: 67
  5. “Phytoremediation of coal mine spoil dump through integrated biotechnological approach”
    Authors: Juwarkar, A.A., Jambhulkar, H.P.
    Journal: Bioresource Technology, 2008, 99(11), pp. 4732–4741
    Citations: 97
  6. “Restoration of fly ash dump through biological interventions”
    Authors: Juwarkar, A.A., Jambhulkar, H.P.
    Journal: Environmental Monitoring and Assessment, 2008, 139(1-3), pp. 355–365
    Citations: 79

 

 

Moyses Nascimento | Plant breeding | Best Researcher Award

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Prof Moyses Nascimento |  Plant breeding |  Best Researcher Award

Associate Professor at  Federal University of Vicosa, Brazil

Prof. Moysés Nascimento is an Associate Professor in the Department of Statistics at the Federal University of Viçosa, Brazil. He holds a Ph.D. in Statistics and Agricultural Experimentation from the Federal University of Lavras (UFLA), Brazil. His research interests focus on statistical methods applied to agriculture, bioinformatics, and genomic selection, with significant expertise in cluster analysis and Monte Carlo Markov Chains.

 

Publication Profile

Academic Background:

  • Ph.D. in Statistics and Agricultural Experimentation (2011), Federal University of Lavras (UFLA), Brazil
  • M.S. in Applied Statistics and Biometry (2009), Federal University of Viçosa (UFV), Brazil
  • B.S. in Statistics (2007), Federal University of Espírito Santo (UFES), Brazil

Professional Experience:

  • Associate Professor, Federal University of Viçosa (UFV), Brazil (2010–present)
  • Visiting Scholar, University of Florida, USA (2023–2024)
  • Research Scholar, North Carolina State University, USA (2016–2017)
  • Graduate Research Assistant, Federal University of Lavras and Federal University of Viçosa

Research Interests:

  • Statistical methods applied to agriculture and genomics
  • Cluster analysis, bioinformatics, and Monte Carlo Markov Chains in genetic improvement
  • Neural networks and multivariate analysis applied to agronomy

Awards & Honors:

  • 1st, 2nd, and 3rd place in the 2023 GDM 40th Anniversary Innovation Award
  • Emerald Literati Award (2019) for the paper on craft beer consumer market characterization
  • Best Paper Award, International Symposium on Genetics and Plant Breeding (2021)
  • Best Master’s Paper, Brazilian Region of the International Biometrics Society (2008)

Citations :

  • Citations (All): 2,229
  • Citations (Since 2019): 1,643
  • h-index (All): 26
  • h-index (Since 2019): 21
  • i10-index (All): 68
  • i10-index (Since 2019): 58

Publication Top Notes

  1. Characterization of the consumer market and motivations for the consumption of craft beer
    NB Carvalho, LA Minim, M Nascimento, GHC Ferreira, VPR Minim
    British Food Journal, 120(2), 378-391 (2018)
  2. Avaliação do coeficiente de variação experimental para caracteres de frutos de pimenteiras
    AR Silva, PR Cecon, ER Rêgo, M Nascimento
    Revista Ceres, 58, 168-171 (2011)
  3. Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes
    M Nascimento, LA Peternelli, CD Cruz, ACC Nascimento, RP Ferreira, …
    Crop Breeding and Applied Biotechnology, 13, 152-156 (2013)
  4. Alteração no método centroide de avaliação da adaptabilidade genotípica
    M Nascimento, CD Cruz, ACM Campana, RS Tomaz, CC Salgado, …
    Pesquisa Agropecuária Brasileira, 44, 263-269 (2009)
  5. Neural networks for predicting breeding values and genetic gains
    GN Silva, RS Tomaz, IC Sant’Anna, M Nascimento, LL Bhering, CD Cruz
    Scientia Agricola, 71, 494-498 (2014)
  6. Multi-trait multi-environment models in the genetic selection of segregating soybean progeny
    L Volpato, RS Alves, PE Teodoro, MD Vilela de Resende, M Nascimento, …
    PloS One, 14(4), e0215315 (2019)
  7. Technical efficiency of milk production in Minas Gerais: an application of quantile regression
    ACC Nascimento, JE Lima, MJ Braga, M Nascimento, AP Gomes
    Revista Brasileira de Zootecnia, 41, 783-789 (2012)
  8. Adaptability and stability based on nonparametric regression in coffee genotypes
    M Nascimento, A Ferreira, RG Ferrão, ACM Campana, LL Bhering, …
    Pesquisa Agropecuária Brasileira, 45, 41-48 (2010)
  9. Métodos estatísticos
    PR Cecon, AR Silva, M Nascimento, A Ferreira
    Viçosa: Editora UFV (2012)
  10. Quantitative sensory description using the Optimized Descriptive Profile: Comparison with conventional and alternative methods for evaluation of chocolate
    RC dos Santos Navarro, VPR Minim, JDS Carneiro, M Nascimento, …
    Food Quality and Preference, 30(2), 169-179 (2013)
  11. A discriminant function for validation of the cluster analysis and behavioral prediction of the coffee market
    NB Carvalho, VPR Minim, M Nascimento, MCTR Vidigal, MAM Ferreira, …
    Food Research International, 77, 400-407 (2015)
  12. Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms
    IC Sousa, M Nascimento, GN Silva, ACC Nascimento, CD Cruz, …
    Scientia Agricola, 78, e20200021 (2020)
  13. Impact of energy restriction during late gestation on the muscle and blood transcriptome of beef calves after preconditioning
    LP Sanglard, M Nascimento, P Moriel, J Sommer, M Ashwell, MH Poore, …
    BMC Genomics, 19, 1-18 (2018)
  14. Quantile regression for genome-wide association study of flowering time-related traits in common bean
    M Nascimento, ACC Nascimento, FF Silva, LD Barili, NM Vale, …
    PLoS One, 13(1), e0190303 (2018)
  15. Abordagem bayesiana para avaliação da adaptabilidade e estabilidade de genótipos de alfafa
    M Nascimento, FF Silva, T Sáfadi, ACC Nascimento, RP Ferreira, …
    Pesquisa Agropecuária Brasileira, 46, 26-32 (2011)
  16. Independent Component Analysis (ICA) based-clustering of temporal RNA-seq data
    M Nascimento, FF Silva, T Safadi, ACC Nascimento, TEM Ferreira, …
    PLoS One, 12(7), e0181195 (2017)
  17. Perspectiva bayesiana na seleção de genótipos de feijão-caupi em ensaios de valor de cultivo e uso
    PE Teodoro, M Nascimento, FE Torres, LMA Barroso, E Sagrilo
    Pesquisa Agropecuária Brasileira, 50(10), 878-885 (2015)
  18. Superiority of artificial neural networks for a genetic classification procedure
    IC Sant’Anna, RS Tomaz, GN Silva, M Nascimento, LL Bhering, CD Cruz
    Genetics and Molecular Research (2015)
  19. Recommendation of Coffea arabica genotypes by factor analysis
    IP Barbosa, WG da Costa, M Nascimento, CD Cruz, ACB de Oliveira
    Euphytica, 215, 1-10 (2019)
  20. Genotype-environment interaction in common bean cultivars with carioca grain, recommended for cultivation in Brazil in the last 40 years
    LD Barili, NM Vale, AL Prado, JES Carneiro, FF Silva, M Nascimento
    Crop Breeding and Applied Biotechnology, 15(04), 244-250 (2015)

 

Ajay Kumar | Agricultural Biotechnology | Best Researcher Award

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Dr Ajay Kumar |  Agricultural Biotechnology |  Best Researcher Award

Assistant Professor at  Amity University,  India

Dr. Ajay Kumar is a Senior Assistant Professor at the Amity Institute of Biotechnology, Amity University, Noida, India. His research spans areas including plant growth-promoting bacteria, postharvest decay control using microbial communities, and bioinformatics. Dr. Kumar’s expertise includes microbial inoculants, biocontrol screening, fermentation, and postharvest management of fruits.

 

Publication Profile

Education & Work Experience:

  • Ph.D. (2010–2016): Department of Botany, Banaras Hindu University, India. Focused on the modulation of growth and metabolites in Curcuma longa using plant growth-promoting bacteria.
  • Postdoctoral Research (2018–2022): Department of Postharvest Science, Agricultural Research Organization, Israel. Focused on developing strategies for controlling postharvest decay in fruits using microbial communities.
  • Current Role: Assistant Professor at Amity University since 2023, specializing in biotechnology and microbiology.

Awards & Fellowships:

  • A.R.O. Fellowship, Volcanic Centre, Israel (2018)
  • CSIR NET/JRF, New Delhi (2009)
  • GATE, IIT Kanpur (2009)

Professional Memberships:

  • Associate Editor, Frontiers in Microbiology
  • Special Issue Guest Editor for Microorganisms (MDPI), Plants (MDPI), Sustainability
  • Life Member, Asian Society of PGPR (Auburn, USA)
  • Life Member, Association of Microbiologists of India

Research Impact:

  • Total Citations: 4,979
  • H-index: 37
  • i10-index: 95
  • Cumulative Impact Factor: 398

Publication Top Notes

  1. Therapeutic and Medicinal Uses of Aloe vera: A Review
    P.K. Sahu, D.D. Giri, R. Singh, P. Pandey, S. Gupta, A.K. Shrivastava, A. Kumar, …
    Pharmacology & Pharmacy, 4 (08), 599, 2013.
    Cited by: 460
  2. Endophytic bacteria: a new source of bioactive compounds
    M. Singh, A. Kumar, R. Singh, K.D. Pandey
    3 Biotech, 7 (5), 1-14, 2017.
    Cited by: 272
  3. Disease management of tomato through PGPB: current trends and future perspective
    V.K. Singh, A.K. Singh, A. Kumar
    3 Biotech, 7 (4), 1-10, 2017.
    Cited by: 179
  4. Plant growth promoting rhizobacteria: application in biofertilizers and biocontrol of phytopathogens
    M. Singh, D. Singh, A. Gupta, K.D. Pandey, P.K. Singh, A. Kumar
    PGPR Amelioration in Sustainable Agriculture, 41-66, 2019.
    Cited by: 166
  5. Isolation and characterization of bacterial endophytes of Curcuma longa L.
    A. Kumar, R. Singh, A. Yadav, D.D. Giri, P.K. Singh, K.D. Pandey
    3 Biotech, 6 (1), 60, 2016.
    Cited by: 161
  6. Trichoderma Species: Our Best Fungal Allies in the Biocontrol of Plant Diseases—A Review
    P. Guzmán-Guzmán, A. Kumar, S. de los Santos-Villalobos, F.I. Parra-Cota, …
    Plants, 12 (3), 432, 2023.
    Cited by: 146
  7. Interaction of plant growth promoting bacteria with tomato under abiotic stress: a review
    V.K. Singh, A.K. Singh, P.P. Singh, A. Kumar
    Agriculture, Ecosystems & Environment, 267, 129-140, 2018.
    Cited by: 144
  8. Regulation of Reactive Oxygen Species during Salt Stress in Plants and Their Crosstalk with Other Signaling Molecules—Current Perspectives and Future Directions
    M.S. Kesawat, N. Satheesh, B.S. Kherawat, A. Kumar, H.U. Kim, S.M. Chung, …
    Plants, 12 (4), 864, 2023.
    Cited by: 122
  9. The potential application of endophytes in management of stress from drought and salinity in crop plants
    H. Verma, D. Kumar, V. Kumar, M. Kumari, S.K. Singh, V.K. Sharma, S. Droby, …
    Microorganisms, 9 (8), 1729, 2021.
    Cited by: 122
  10. Microbial biosurfactant: a new frontier for sustainable agriculture and pharmaceutical industries
    A. Kumar, S.K. Singh, C. Kant, H. Verma, D. Kumar, P.P. Singh, A. Modi, …
    Antioxidants, 10 (9), 1472, 2021.
    Cited by: 111
  11. Isolation of plant growth promoting rhizobacteria and their impact on growth and curcumin content in Curcuma longa L.
    A. Kumar, M. Singh, P.P. Singh, S.K. Singh, P.K. Singh, K.D. Pandey
    Biocatalysis and Agricultural Biotechnology, 8, 1-7, 2016.
    Cited by: 107
  12. Plant growth-promoting rhizobacteria (PGPR): perspective in agriculture under biotic and abiotic stress
    A. Kumar, V.K. Singh, V. Tripathi, P.P. Singh, A.K. Singh
    Crop Improvement Through Microbial Biotechnology, 333-342, 2018.
    Cited by: 103
  13. Global Analysis of the Apple Fruit Microbiome: Are All Apples the Same?
    A. Abdelfattah, S. Freilich, R. Bartuv, V.Y. Zhimo, A. Kumar, A. Biasi, S. Salim, …
    Scientific Report, 98*, 2021.
  14. Isolation and characterization of bacterial endophytes from the roots of Cassia tora L.
    V. Kumar, A. Kumar, K.D. Pandey, B.K. Roy
    Annals of Microbiology, 65 (3), 1391-1399, 2015.
    Cited by: 92
  15. Bioremediation: a sustainable approach for management of environmental contaminants
    P. Singh, V.K. Singh, R. Singh, A. Borthakur, S. Madhav, A. Ahamad, A. Kumar, …
    Abatement of Environmental Pollutants, 1-23, 2020.
    Cited by: 83
  16. Role of Pseudomonas sp. in Sustainable Agriculture and Disease Management
    A. Kumar, H. Verma, V.K. Singh, P.P. Singh, S.K. Singh, W.A. Ansari, A. Yadav, …
    Agriculturally Important Microbes for Sustainable Agriculture, 195-215, 2017.
    Cited by: 74
  17. Current Scenario and Future Prospects of Endophytic Microbes: Promising Candidates for Abiotic and Biotic Stress Management for Agricultural and Environmental Sustainability
    U. Anand, T. Pal, N. Yadav, V.K. Singh, V. Tripathi, K.K. Choudhary, A.K. Shukla, …
    Microbial Ecology, 1-32, 2023.
    Cited by: 64
  18. Compositional shifts in the strawberry fruit microbiome in response to near-harvest application of Metschnikowia fructicola, a yeast biocontrol agent
    V.Y. Zhimo, A. Kumar, A. Biasi, S. Salim, O. Feygenberg, M.A. Toamy, …
    Postharvest Biology and Technology, 175, 111469, 2021.
    Cited by: 63
  19. Distribution of cyanobacteria and their interactions with pesticides in paddy field: a comprehensive review
    A.K. Singh, P.P. Singh, V. Tripathi, H. Verma, S.K. Singh, A.K. Srivastava, …
    Journal of Environmental Management, 224, 361-375, 2018.
    Cited by: 61
  20. Impacts of agrochemicals on soil microbiology and food quality
    D. Singh, S.K. Singh, A. Modi, P.K. Singh, V.Y. Zhimo, A. Kumar
    Agrochemicals Detection, Treatment and Remediation, 101-116, 2020.
    Cited by: 56

 

 

Ahoya Dèwanou Kant David | Plant disease | Best Researcher Award

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Mr Ahoya  Dèwanou Kant David |  Plant disease |  Best Researcher Award

PhD Student at  University of Parakou, Benin Republic, Benin

Dèwanou Kant David AHOYA is a bilingual Agronomist and Plant Protection Expert based in Benin. He holds a Master’s Degree in Plant Biotechnology and is currently pursuing a PhD in Plant Protection at the University of Parakou. With extensive experience in the development of transboundary plant disease management strategies, he is dedicated to improving agricultural practices in West Africa. His work focuses on promoting certified seed use and supporting the growth of the seed sector to enhance food security and sustainability.

 

Publication Profile

Education:

  • Ph.D. Candidate in Plant Protection (2022–Present)
    Doctoral School of Agricultural and Water Sciences (ED-SAE), University of Parakou (UP)
  • Master’s in Plant Biotechnology and Plant Improvement (2021)
    Doctoral School of Life and Earth Sciences (ED-SVT), Abomey-Calavi University (UAC)
  • Bachelor’s in Plant Production Sciences and Techniques (2016)
    Faculty of Agricultural Sciences (FSA), Abomey-Calavi University (UAC)

Professional Experience:

  • Junior Consultant (March 2024 – Present)
    Supporting the professionalization of sustainable seed chains for climatic resilience, with monitoring and advisory roles in the seed sub-sector under PADAAM/ProCaR.
  • Junior Technical Assistant (March 2022 – Feb 2024)
    Provided support for innovative agricultural technologies, including the development of Farmers’ Field Schools on certified seeds and sustainable land management techniques like biochar, as part of the IFAD Framework Programme in rural Benin.
  • Laboratory Technician (Jan 2019 – Jan 2022)
    Contributed to plant biotechnology projects focused on the production of pineapple and cassava vitroplants under the LCBVAP/PROCAD World Bank-funded project. Educated farmers about viral diseases and their impact on cassava crops.

Key Skills:

  • Transboundary Plant Disease Management
  • Seed Sector Development
  • Agricultural Technology Dissemination
  • Farmer Training and Education
  • Plant Biotechnology

Publication Top Notes

Factors Influencing Adoption of the PlantVillage Nuru Application for Cassava Mosaic Disease Diagnosis Among Farmers in Benin
Agriculture, 2024-11-07 | DOI: 10.3390/agriculture14112001
Contributors: Dèwanou Kant David Ahoya, Eveline Marie Fulbert Windinmi Sawadogo-Compaore, Jacob Afouda Yabi, Martine Zandjanakou-Tachin, Jerome Anani Houngue, Serge Sètondji Houedjissin, Justin Simon Pita, Corneille Ahanhanzo

 

Vivek Mishra | Soils | Best Researcher Award

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Assist. Prof. Dr Vivek Mishra | Soils |  Best Researcher Award

Assistant Professor at  Department of Geology, PIAS, Parul University, India

Vivek Mishra is a dedicated geologist based in Basti, India, with a passion for geological research and exploration. He has significant experience in the field of geology, focusing on geological mapping, mineral exploration, and environmental assessments. With a strong academic foundation, Vivek applies his expertise to both theoretical and practical aspects of geological science. He is committed to advancing knowledge in the field through continued learning and professional development. Vivek is actively involved in local geological projects and is known for his detail-oriented approach and dedication to enhancing geological understanding.

 

Publication Profile

EDUCATION:

Doctor of Philosophy in Applied Geology
Indian Institute of Technology (ISM), Dhanbad, India | 2018
Thesis Title: Trace Element Geochemistry and Petrographic Investigations of Coal and Shaly Coal from Talchir and Ib Valley Basins of Odisha, India

Master of Philosophy in Geology
Vikram University, Ujjain, India | 2011

Master of Science in Geology
Vikram University, Ujjain, India | 2010

PROFESSIONAL EXPERIENCE:

Parul University, India | 10/2023 – Present
Assistant Professor

  • Develop and deliver high-quality, multidisciplinary educational content.
  • Prepare syllabi, reading materials, and assessments.
  • Collaborate with professors on research projects.
  • Provide student support to ensure academic success.
  • Participate in administrative and extracurricular activities.

Bhagwant University, India | 06/2023 – 10/2023
Assistant Professor

  • Lectured Diploma and UG students.
  • Graded assignments and upheld academic integrity policies.
  • Designed syllabi and lecture notes to enhance student understanding.
  • Contributed to administrative work and extracurricular activities.

Hebei University of Engineering, China | 10/2019 – 09/2021
Postdoctoral Researcher

  • Mentored graduate and undergraduate students in experimental design and technology.
  • Conducted comparative studies on rare earth elements in coal.
  • Collaborated internationally on environmental geochemistry and wildfire studies.
  • Investigated carcinogenic risks associated with coal burning in North China.

CSIR – National Metallurgical Laboratory, India | 05/2012 – 08/2017
Project Assistant

  • Investigated coal’s chemical and mineralogical compositions, focusing on combustion behavior.
  • Used FTIR and XRD to study coal at various temperatures.
  • Supervised national and international research projects and student teams.
  • Prepared feasibility reports for coal and coke quality analysis.

RESEARCH INTERESTS:

  • Coal utilization and human health impacts
  • Critical and rare earth elements in coal
  • Environmental geochemistry and medical geology
  • Coal and shale gas research

HONORS AND AWARDS:

  • Postdoctoral Research Award, Hebei University of Engineering, 2019
  • Indian Institute of Mineral Engineers Best Paper Award, 2018

Citations:

  • Total Citations: 287
  • Citations Since 2019: 260

h-index:

  • Overall h-index: 9
  • h-index Since 2019: 9

i10-index:

  • Overall i10-index: 9
  • i10-index Since 2019: 9

Publication Top Notes

  1. Geochemistry of Carboniferous coals from the Laoyaogou mine, Ningwu coalfield, Shanxi Province, northern China: Emphasis on the enrichment of valuable elements
    B Liu, J Wang, H He, V Mishra, Y Li, J Wang, C Zhao
    Fuel, 279, 118414, 55, 2020
  2. Influence of coal quality on combustion behaviour and mineral phases transformations
    V Mishra, T Bhowmick, S Chakravarty, AK Varma, M Sharma
    Fuel, 186, 443–455, 52, 2016
  3. Changes in organic structure and mineral phases transformation of coal during heat treatment on laboratory scale
    V Mishra, M Sharma, S Chakravarty, A Banerjee
    International Journal of Coal Science & Technology, 3, 418-428, 35, 2016
  4. Geochemistry of Rare Earth Elements in Lower Gondwana Coals of the Talchir Coal Basin, India
    V Mishra, S Chakravarty, RB Finkelman, AK Varma
    Journal of Geochemical Exploration, 204, 43-56, 28, 2019
  5. Microstructural relation of macerals with mineral matter in coals from Ib valley and Umaria, Son-Mahanadi basin, India
    V Mishra, KN Singh
    International Journal of Coal Science & Technology, 27, 2017
  6. Polycyclic aromatic hydrocarbons (PAHs) and esophageal carcinoma in Handan-Xingtai district, North China: a preliminary study based on cancer risk assessment
    M Zhang, J Wang, Q Zhao, V Mishra, J Fan, Y Sun
    Environmental Monitoring and Assessment, 192, 1-20, 14, 2020
  7. Influence of geochemical, organo-petrographical and palynofacies assemblages on hydrocarbon generation: A study from upper Oligocene coal and shale of the Makum Coal Basin …
    S Biswas, AK Varma, M Kumar, D Mani, VK Saxena, V Mishra
    Marine and Petroleum Geology, 114, 104206, 14, 2020
  8. Characterization of Chemical Structure with Relative Density of Three Different Ranks of Coal from India
    S Chakravarty, K Chakravarty, V Mishra, S Chakladar, A Mohanty, …
    Natural Resources Research, 29, 3121–3136, 13, 2020
  9. Significance of coal quality on thermoplastic properties: a case study
    M Sahoo, T Bhowmick, V Mishra, S Pal, M Sharma, S Chakravarty
    International Journal of Coal Preparation and Utilization, 42 (4), 1015-1032, 10, 2022
  10. An intelligent system to identify coal maceral groups using markov-fuzzy clustering approach
    S Chand, S Mohapatra, V Mishra
    Journal of Intelligent & Fuzzy Systems, 41 (5), 5701-5707, 9, 2021
  11. Wildfire evidence from the middle and late permian Hanxing Coalfield, North China Basin
    L Xiao, Q Zhao, J Wang, V Mishra, SI Arbuzov, M Zhang
    Geologica Acta, 18, 1-11, 9, 2020
  12. Intelligent characterization system for char combustion reactivity using deep learning
    A Alpana, S Chand, V Mishra
    2020 7th International Conference on Signal Processing and Integrated …, 7, 2020
  13. Mineralogical study of beneficiated and carbonized indian coking coal for better utilization: A case study
    K Chakravarty, V Mishra, S Chakravarty, S Chakladar, VK Saxena, …
    Natural Resources Research, 29 (4), 2431-2450, 6, 2020
  14. Automated char classification using image analysis and artificial intelligence
    Alpana, S Chand, S Mohapatra, V Mishra
    International Journal of Oil, Gas and Coal Technology, 28 (2), 235-248, 4, 2021
  15. Microbial detoxification of polluted soils and agroecosystem
    Ž Fiket, MA Sabar, G Medunić, V Mishra
    Microbial Services in Restoration Ecology, 237-257, 4, 2020
  16. Significance of washability on heat-altered coal from Jharia and Raniganj Coalfields, India
    M Sharma, T Bhowmick, V Mishra
    International Journal of Oil, Gas and Coal Technology, 27 (2), 169-185, 2021

 

Xincheng Li | Agricultural Engineering | Best Researcher Award

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Prof Xincheng Li |  Agricultural Engineering |  Best Researcher Award

Associate Professor at  College of Electrical and Mechanical Engineering，Qingdao Agricultural University, China

Xingcheng Li is a Research Assistant at the College of Electrical and Mechanical Engineering, Qingdao Agricultural University. His research focuses on agricultural information technology, sensor development, intelligent agricultural machinery control, and automation technology in livestock and poultry farming. He has published over 10 academic papers, secured 5 national invention patents, and led key research projects at both provincial and national levels. With experience in teaching and developing innovative solutions in agricultural engineering, Li contributes to advancing technological applications in agriculture.

 

Publication Profile

Academic and Professional Background:

Xingcheng Li is a Research Assistant at Qingdao Agricultural University, specializing in agricultural engineering and information technology. He has taught various courses at both undergraduate and graduate levels, including Principles and Applications of Sensors, Agricultural Sensing, and Operations Research. His primary research interests include agricultural information technology, sensor development, intelligent agricultural machinery control, and automation in livestock and poultry farming.

Research and Innovations:

Prof. Li has contributed significantly to the development of agricultural technologies. He has published over 10 research papers and secured 5 national invention patents. His ongoing research includes projects on livestock and poultry disease prevention, as well as participation in key national and provincial R&D programs. Notably, he has led the Shandong Province Agricultural Major Application Technology Innovation Project and the Natural Science Foundation of Shandong Province.

Research Areas:

  • Agricultural Engineering
  • Mechanical Engineering
  • Agricultural Machinery and Equipment Engineering
  • Agricultural Engineering and Information Technology

Publication Top Notes

  1. A seed-epidermis-feature-recognition-based lightweight peanut seed selection method for embedded systems
    Li, D., Huang, J., Li, X., Xu, P., Yun, Y.
    Measurement and Control (United Kingdom), 2024.
    This paper introduces a lightweight peanut seed selection method based on seed-epidermis feature recognition, suitable for embedded systems in agricultural automation.
  2. Optimization Design and Experiment of Automatic Leveling System for Orchard Operating Platform in Hilly and Mountainous Areas
    Shang, H., Li, X., Zhang, C., Hou, Y., Jia, M.
    INMATEH – Agricultural Engineering, 2024, 73(2), pp. 364–374.
    Focuses on optimizing the design and conducting experiments on an automatic leveling system for orchard platforms in challenging terrains.
  3. Domestic Conflicts and Trade Protectionism: Evidence from Tweets
    Kun, L., Xincheng, L., Ming, F.
    China Journal of Economics, 2022, 9(1), pp. 56–84.
    Analyzes the relationship between domestic conflicts and trade protectionism, based on Twitter data analysis.
  4. Grain Yield Data Collection and Service for Heterogeneous Platforms
    Zheng, L., Guo, X., Li, M., Chen, Y., Xiao, C.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(9), pp. 142–149.
    This work discusses systems for collecting and providing grain yield data across different agricultural platforms.
  5. Test and Optimization of Sampling Frequency for Yield Monitor System of Grain Combine Harvester
    Li, X., Li, M., Zheng, L., Wang, X., Sun, M.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2015, 46, pp. 74–78.
    Examines the optimization of sampling frequency for a grain yield monitor in combine harvesters.
  6. Modeling Algorithm for Yield Monitor System of Grain Combine Harvester
    Li, X., Sun, M., Li, M., Zhang, M., Wang, X.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(7), pp. 91–96.
    Proposes a modeling algorithm for improving the yield monitor system of grain combine harvesters.
  7. Development and Denoising Test of Grain Combine with Remote Yield Monitoring System
    Li, X., Li, M., Wang, X., Sun, M., Sun, H.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(2), pp. 1–8.
    This paper focuses on the development and testing of a grain combine equipped with a remote yield monitoring system.
  8. Structure Design and Signal Processing of a New Grain Flow Sensor
    Li, X., Li, M., Zheng, L., Yang, W., Sun, H.
    American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2014, pp. 4330–4336.
    Presents the design and signal processing methods for a new grain flow sensor.
  9. A Remote Monitoring System of Automatic Soil Sampler Based on ZigBee WSN
    Yang, W., Li, M., Zheng, L., Li, X., Zhang, M.
    American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2013, pp. 4023–4028.
    Describes a remote monitoring system for an automatic soil sampler based on ZigBee wireless sensor networks (WSN).
  10. A Remote Operating System of Grain Yield Monitor
    Li, X., Li, M., Zheng, L., Yang, W., Zhang, M.
    American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2013, pp. 4091–4096.
    Introduces a remote operating system for monitoring grain yield during harvesting.

 

Américo Ferraz Dias Neto | Agricultura Digital | Best Researcher Award

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Dr Américo Ferraz Dias Neto |  Agricultura Digital |  Best Researcher Award

Consultor at  Universidade Estadual de Campinas, Brazil

Américo is an Agricultural Engineer with over 20 years of experience in the bioenergy sector, particularly in agroindustrial processes, supply chain optimization, and business strategy. Recognized for his expertise in controlled traffic and digital agriculture, he has successfully led large-scale projects, improving productivity and sustainability. His innovative contributions to bioenergy have earned him notable awards, including the Outstanding Alumnus Award from UNICAMP and the Norman Joseph King Award.

 

Publication Profile

🎓 Education:

  • Ph.D. in Agricultural Engineering, FEAGRI-UNICAMP (2021)
  • M.Sc. in Agricultural Engineering, FEAGRI-UNICAMP (2000)
  • B.Sc. in Agricultural Engineering, FEAGRI-UNICAMP (1997)

🏢 Professional Experience:

  • Américo Ferraz Consult (2017–Present): Bioenergy consulting with clients like Novo Milênio Distillery and Grupo Moreno, focusing on sustainable agricultural production and digital agriculture.
  • UMOE Bioenergy (2017–2020): COO managing a 42,000-hectare unit for ethanol and energy production.
  • Atvos (2007–2016): Agricultural Director, pioneered technologies in remote sensing, precision agriculture, and crop logistics for sugarcane.

🏆 Awards:

  • Norman Joseph King Award, ISSCT Congress, Hyderabad, India (2023)
  • Outstanding Alumnus Award, UNICAMP (2023)

Publication Top Notes

  1. “Advancements of agriculture 4.0 in mechanized sugarcane harvesting: a review”
    Journal: Ciência Rural
    Year: 2024
    DOI: 10.1590/0103-8478cr20220562
    Contributors: Américo Ferraz Neto, Jenyffer da Silva Gomes Santos, Raffaella Rossetto, João Domingos Biagi, Daniel Albiero
  2. “Use of Vegetation Activity Index for Evaluation of L-Alpha Amino Acid Treatment in Sugarcane”
    Journal: Agriculture
    Year: 2024
    DOI: 10.3390/agriculture14111877
    Contributors: Américo Ferraz Dias Neto, Ivan Bazo Bergamim, Flavio Roberto de Freitas Gonçalves, Raffaella Rossetto, Daniel Albiero
  3. “Use of Vegetation Activity Index for Evaluation of L-Alpha Amino Acid Treatment in Sugarcane”
    Type: Preprint
    Year: 2024
    DOI: 10.20944/preprints202409.1603.v1
    Contributors: Américo Ferraz Dias Neto, Ivan Bazo Bergamim, Flavio Roberto de Freitas Gonçalves, Raffaella Rossetto, Daniel Albiero
  4. “Strip Soil Tillage and Traffic Over the Soil on Sugar Cane Compared to Conventional Tillage Systems”
    Journal: Sugar Tech
    Year: 2023
    DOI: 10.1007/s12355-023-01267-y
    Contributors: Américo Ferraz Dias Neto, Daniel Albiero, Raffaella Rossetto, João D. Biagi, Jenyffer Gomes da Silva
  5. “Modeling of Mechanized Sugarcane Harvesting to Support Decision-Making on Asset Management”
    Journal: Sugar Tech
    Year: 2022
    DOI: 10.1007/s12355-022-01126-2
    Contributors: Américo Ferraz Dias Neto, Daniel Albiero, Raffaella Rossetto, João D. Biagi

 

Paul Sutton | Climate Change | Best Researcher Award

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Prof Paul Sutton | Climate Change |  Best Researcher Award

Professor at  University of Denver, United States

Professor Paul C. Sutton is a leading expert in sustainability science, population geography, and ecological economics. He is a Professor of Geography at the University of Denver, where he has served since 1999. His research focuses on topics such as urban metabolism, green infrastructure, land degradation, and the development of indicators for the Sustainable Development Goals (SDGs). Sutton is also involved in international environmental initiatives, having contributed to UNEP’s Global Environmental Outlook and served as a Visiting Fellow at The Australian National University.

Profile

Academic Background:

  • Ph.D. in Geography, University of California, Santa Barbara (1999)
  • M.A. in Applied Statistics, University of California, Santa Barbara (1997)
  • M.A. in Geography, University of California, Santa Barbara (1995)
  • B.S. in Chemistry, Union College, Schenectady, New York (1983)

Career Highlights:

  • Professor of Geography at the University of Denver (2012-Present)
  • Visiting Fellow at The Crawford School of Public Policy, The Australian National University (2020-2021)
  • Research Associate at NOAA’s National Geophysical Data Center (1995-2010)
  • Lecturer at UC Santa Barbara’s Department of Geography (1992-1999)
  • High School Teacher (1983-1993) and Process Engineer (1984-1992)

Research Focus:

  • Population Geography
  • Sustainability Science
  • Ecological Economics
  • Developing Indicators for the SDGs (Sustainable Development Goals)
  • Ecosystem Services and Integrated Assessment
  • Urban Metabolism and Smart Cities
  • Green Infrastructure
  • Land Degradation
  • Applications of Nighttime Satellite Imagery

Engagement & Service:

  • Founding Member, Center for a Regenerative Future (2024)
  • Member, Board of Trustees, Morrison, CO (2018-2026)
  • Contributor to UNEP’s Global Environmental Outlook (GEO-6 and GEO-7)
  • Chair, Academic Program Review Team at Texas State University (2013)
  • Proposal & Manuscript Reviewer for NSF, NASA, ESA, ARC, and other scientific foundations
  • Keynote Speaker at various international forums

Honors and Awards:

  • Best Graduate Advisor, College of Natural Sciences and Mathematics (2024)
  • Australian Water Award for Goyder Institute Collaboration (2022)
  • Prose Award Winner for Environmental Sciences (UNEP GEO6) (2021)
  • Best Researcher Award – IRULA (2019)
  • NASA Earth System Science Fellowship (1997-1999)

Citations:

  • Citations: 62,096 (All-time), 28,454 (Since 2019)
  • h-index: 55 (All-time), 45 (Since 2019)
  • i10-index: 102 (All-time), 92 (Since 2019)

Publication Top Notes

  1. The value of the world’s ecosystem services and natural capital
    Costanza, R., d’Arge, R., De Groot, R., Farber, S., Grasso, M., Hannon, B., et al. (1997). Nature, 387(6630), 253.
  2. Changes in the global value of ecosystem services
    Costanza, R., De Groot, R., Sutton, P., Van der Ploeg, S., Anderson, S. J., et al. (2014). Global Environmental Change, 26, 152-158.
  3. Twenty years of ecosystem services: how far have we come and how far do we still need to go?
    Costanza, R., de Groot, R., Braat, L., Kubiszewski, I., Fioramonti, L., Sutton, P., et al. (2017). Ecosystem Services, 28, 1-16.
  4. The coasts of our world: Ecological, economic and social importance
    Martínez, M. L., Intralawan, A., Vázquez, G., Pérez-Maqueo, O., Sutton, P., et al. (2007). Ecological Economics, 63(2-3), 254-272.
  5. The value of coastal wetlands for hurricane protection
    Costanza, R., Pérez-Maqueo, O., Martínez, M. L., Sutton, P., Anderson, S. J., et al. (2008). Ambio, 241-248.
  6. Global estimates of market and non-market values derived from nighttime satellite imagery, land cover, and ecosystem service valuation
    Sutton, P. C., Costanza, R. (2002). Ecological Economics, 41(3), 509-527.
  7. Is decoupling GDP growth from environmental impact possible?
    Ward, J. D., Sutton, P. C., Werner, A. D., Costanza, R., Mohr, S. H., Simmons, C. T. (2016). PLOS ONE, 11(10), e0164733.
  8. Radiance calibration of DMSP-OLS low-light imaging data of human settlements
    Elvidge, C. D., Baugh, K. E., Dietz, J. B., Bland, T., Sutton, P. C., Kroehl, H. W. (1999). Remote Sensing of Environment, 68(1), 77-88.
  9. Census from Heaven: An estimate of the global human population using night-time satellite imagery
    Sutton, P., Roberts, D., Elvidge, C., Baugh, K. (2001). International Journal of Remote Sensing, 22(16), 3061-3076.
  10. A global poverty map derived from satellite data
    Elvidge, C. D., Sutton, P. C., Ghosh, T., Tuttle, B. T., Baugh, K. E., Bhaduri, B., Bright, E. (2009). Computers & Geosciences, 35(8), 1652-1660.
  11. Global distribution and density of constructed impervious surfaces
    Elvidge, C. D., Tuttle, B. T., Sutton, P. S., Baugh, K. E., Howard, A. T., Milesi, C., et al. (2007). Sensors, 7(9), 1962-1979.
  12. The value of ecosystem services: putting the issues in perspective
    Costanza, R., d’Arge, R., De Groot, R., Farber, S., Grasso, M., Hannon, B., et al. (1998). Ecological Economics, 25(1), 67-72.
  13. Shedding light on the global distribution of economic activity
    Ghosh, T., Powell, R. L., Elvidge, C. D., Baugh, K. E., Sutton, P. C., Anderson, S. (2010). The Open Geography Journal, 3(1), 147-160.
  14. Estimation of gross domestic product at sub-national scales using nighttime satellite imagery
    Sutton, P. C., Elvidge, C. D., Ghosh, T. (2007). International Journal of Ecological Economics & Statistics, 8(S07), 5-21.
  15. A comparison of nighttime satellite imagery
    Sutton, P., Roberts, D., Elvidge, C., Meij, H. (1997). Photogrammetric Engineering & Remote Sensing, 63(11), 1303-1313.
  16. A review of methods, data, and models to assess changes in the value of ecosystem services from land degradation and restoration
    Turner, K. G., Anderson, S., Gonzales-Chang, M., Costanza, R., Courville, S., et al. (2016). Ecological Modelling, 319, 190-207.
  17. A scale-adjusted measure of “urban sprawl” using nighttime satellite imagery
    Sutton, P. C. (2003). Remote Sensing of Environment, 86(3), 353-369.
  18. The Nightsat mission concept
    Elvidge, C. D., Cinzano, P., Pettit, D. R., Arvesen, J., Sutton, P., Small, C., et al. (2007). International Journal of Remote Sensing, 28(12), 2645-2670.
  19. Modeling population density with night-time satellite imagery and GIS
    Sutton, P. (1997). Computers, Environment and Urban Systems, 21(3-4), 227-244.
  20. The future value of ecosystem services: global scenarios and national implications
    Kubiszewski, I., Costanza, R., Anderson, S., Sutton, P. (2017). Ecosystem Services, 26, 289-301.

 

M.Sudha | Biotechnology | Best Researcher Award

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Dr. M.Sudha | Biotechnology | Best Researcher Award

Dr. M.Sudha, Tamil Nadu Agricultural university, India

Dr. Sudha Manickam, an Assistant Professor in the Department of Plant Biotechnology at Tamil Nadu Agricultural University (TNAU), has dedicated her career to advancing the field of biotechnology, focusing particularly on molecular genetics, crop improvement, and biotechnology innovations. With a B.Sc in Agriculture, an M.Sc in Biotechnology, and a Ph.D. in Biotechnology from TNAU, Dr. Sudha’s work is pivotal in bridging molecular biology with agricultural solutions. She has received multiple international and national accolades, further establishing her as a prominent figure in agricultural biotechnology.

Profile

Google scholar

Strengths

Educational and Professional Expertise: Dr. Manickam has a solid academic background with a B.Sc, M.Sc, and Ph.D. in Biotechnology from Tamil Nadu Agricultural University (TNAU). She has been serving as an Assistant Professor in the Department of Plant Biotechnology since 2014, which reflects her long-term dedication to both education and research.

Research Contributions: Dr. Manickam has made significant contributions to the field of molecular biotechnology, focusing on plant genomics and genetic improvement, particularly in pulses, rice, and tomato. Her work on MYMV resistance in pulses, genome editing in rice, and the development of stress-tolerant crop varieties stands out.

Awards and Recognition: Dr. Manickam has received multiple awards at the international, national, and state levels, including “Best Researcher International Award” in 2023. She has been recognized for her outstanding contributions to biotechnology, which is a strong testament to her research capabilities.

Research Funding and Publications: She has successfully secured numerous research projects from prestigious agencies like DBT and DST, with a total funding amounting to over ₹1,200 lakhs. Her publications in peer-reviewed journals are numerous, showcasing her consistent output and impact on the scientific community. She has 58 research publications and numerous high-impact publications in journals with significant NAAS ratings.

Institutional Development: Dr. Manickam has played a key role in institutional development, having established key facilities such as the Center of Excellence in Biotechnology and Phenomics. Her involvement in institutional activities further demonstrates her leadership and commitment to advancing scientific research.

Extension and Outreach: Dr. Manickam is deeply involved in extending her expertise beyond academia by organizing numerous conferences, workshops, and seminars, facilitating knowledge sharing, and promoting the latest advancements in biotechnology.

Areas for Improvement

Diversity in Research Focus: While Dr. Manickam’s research on plant biotechnology, particularly crop improvement and disease resistance, is extensive, exploring interdisciplinary collaborations with other areas (e.g., environmental sustainability, climate change adaptation) could enhance the breadth of her research impact.

Increasing Industry Collaboration: While she has contributed to institutional linkages, there could be a stronger focus on partnerships with the biotechnology industry to translate her research into commercial applications, providing real-world solutions and fostering innovation.

Mentorship and Supervision: Although Dr. Manickam has supervised 46 students and guided the publication of a book and book chapters, expanding her mentorship network, particularly at the postdoctoral level, could further contribute to the academic ecosystem.

Education 🎓

Dr. Sudha Manickam completed her academic journey at Tamil Nadu Agricultural University (TNAU), where she earned a B.Sc in Agriculture (2003), followed by an M.Sc in Biotechnology (2005), and a Ph.D. in Biotechnology (2009). Her education laid the foundation for her current role as a researcher and educator, where she integrates theoretical knowledge with practical applications in plant biotechnology.

Experience 👩‍🔬

Since July 19, 2014, Dr. Sudha has been serving as an Assistant Professor in the Department of Plant Biotechnology at TNAU. She has taught numerous undergraduate courses and mentored 46 students in their research endeavors. Her research contributions span across the development of resistant crop varieties, marker-assisted breeding, and exploring the molecular genetics of crops like rice and mung bean. She has successfully led externally funded research projects sponsored by DBT and DST.

Research Interests 🔬

Dr. Sudha’s research interests are centered around molecular biotechnological approaches to improve agricultural productivity and resilience. Key areas include genomics, genome editing, and disease resistance, particularly in crops such as rice, mung bean, and tomato. She is actively involved in projects related to developing salt-tolerant rice varieties, antidiabetic rice, and abiotic stress-tolerant rice, alongside understanding the molecular basis of Mungbean Yellow Mosaic Virus (MYMV) resistance.

Awards 🏆

Best Researcher International Award (IRDP, 2023)

Best Researcher Award (INSO, 2023)

Young Women Scientist Award (Just Agriculture, 2023)

National Award of Excellence (Glacier Research Foundation, 2022)

Recognition Certificate for Externally Funded Scheme (TNAU, 2019)

Appreciation certificates for developing innovative software for DNA sequencing technologies (TNAU, 2022)

Publications Top Notes

  1. Functional Marker-Assisted Selection for Bacterial Leaf Blight Resistance Genes in Rice (Oryza sativa L.)
    • Authors: S. Perumalsamy, M. Bharani, M. Sudha, P. Nagarajan, L. Arul, R. Saraswathi, et al.
    • Journal: Plant Breeding, 2010
    • Citation Count: 154
    • Summary: Focuses on the use of marker-assisted selection to identify and incorporate bacterial leaf blight resistance genes in rice, an essential contribution to rice breeding for disease resistance.
  2. Mungbean Yellow Mosaic Virus (MYMV): A Threat to Green Gram (Vigna radiata) Production in Asia
    • Authors: A. Karthikeyan, V.G. Shobhana, M. Sudha, M. Raveendran, N. Senthil, et al.
    • Journal: International Journal of Pest Management, 2014
    • Citation Count: 122
    • Summary: Discusses the impact of MYMV on green gram production and emphasizes the need for developing resistant cultivars in Asia.
  3. Inheritance of Resistance to Mungbean Yellow Mosaic Virus (MYMV) in Inter and Intra Specific Crosses of Mungbean (Vigna radiata)
    • Authors: M. Sudha, A. Karthikeyan, P. Anusuya, N.M. Ganesh, M. Pandiyan, N. Senthil, et al.
    • Journal: American Journal of Plant Sciences, 2013
    • Citation Count: 64
    • Summary: Investigates the genetic basis of MYMV resistance in mungbean, offering valuable insights for breeding MYMV-resistant mungbean varieties.
  4. Screening of Mungbean (Vigna radiata) Germplasm for Resistance to Mungbean Yellow Mosaic Virus Using Agroinoculation
    • Authors: M. Sudha, A. Karthikeyan, P. Nagarajan, M. Raveendran, N. Senthil, et al.
    • Journal: Canadian Journal of Plant Pathology, 2013
    • Citation Count: 55
    • Summary: A study on screening mungbean germplasm for MYMV resistance, highlighting the utility of agroinoculation in identifying resistant lines.
  5. Detection of QTLs Associated with Mungbean Yellow Mosaic Virus (MYMV) Resistance Using the Interspecific Cross of Vigna radiata × Vigna umbellata
    • Authors: M.K. Mathivathana, J. Murukarthick, A. Karthikeyan, W. Jang, M. Dhasarathan, et al.
    • Journal: Journal of Applied Genetics, 2019
    • Citation Count: 50
    • Summary: Identifies quantitative trait loci (QTLs) linked to MYMV resistance, providing a genomic basis for improving MYMV resistance in mungbean.
  6. Genetic Variability Studies in Gossypium barbadense L. Genotypes for Seed Cotton Yield and Its Yield Components
    • Authors: K.P.M. Dhamayanathi, S. Manickam, K. Rathinavel
    • Journal: Electronic Journal of Plant Breeding, 2010
    • Citation Count: 43
    • Summary: Examines genetic variability in Egyptian cotton to enhance breeding for yield improvement.
  7. Molecular Studies on Mungbean (Vigna radiata) and Ricebean (Vigna umbellata) Interspecific Hybridisation for Mungbean Yellow Mosaic Virus
    • Authors: M. Sudha, P. Anusuya, N.G. Mahadev, A. Karthikeyan, P. Nagarajan, et al.
    • Journal: Archives of Phytopathology and Plant Protection, 2013
    • Citation Count: 40
    • Summary: A molecular study on the interspecific hybridization of mungbean and ricebean aimed at improving MYMV resistance.
  8. Screening of MYMV Resistant Mungbean (Vigna radiata L. Wilczek) Progenies through Agroinoculation
    • Authors: A. Karthikeyan, M. Sudha, M. Pandiyan, N. Senthil, V.G. Shobhana, et al.
    • Year: 2011
    • Citation Count: 37
    • Summary: Screening mungbean progenies for MYMV resistance, with a focus on developing durable resistance through breeding.
  9. Search for Vigna Species Conferring Resistance to Mungbean Yellow Mosaic Virus in Mungbean
    • Authors: M. Sudha, A. Karthikeyan, V.G. Shobhana, P. Nagarajan, M. Raveendran, et al.
    • Journal: Plant Genetic Resources, 2015
    • Citation Count: 32
    • Summary: Identifies Vigna species with MYMV resistance, supporting cross-species breeding strategies.
  10. Introgression of Submergence Tolerance into CO 43, a Popular Rice Variety of India, through Marker-Assisted Backcross Breeding
  • Authors: H. Rahman, V. Dakshinamurthi, S. Ramasamy, S. Manickam, et al.
  • Journal: Czech Journal of Genetics and Plant Breeding, 2018
  • Citation Count: 30
  • Summary: Describes the introgression of submergence tolerance genes into rice to enhance resilience under waterlogged conditions.

 

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