Run Gao | Forage silage | Best Researcher Award

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Assist. Prof. Dr  Run  Gao |  Forage silage |  Best Researcher Award

Research associate at  Shandong Academy of Agricultural Sciences ,  China

Run Gao is a Research Associate at the Shandong Academy of Agricultural Sciences. He earned his Ph.D. from China Agricultural University in 2021. His research primarily focuses on forage production and processing utilization, with a particular interest in the anaerobic fermentation of forage. Gao has made significant contributions to this field, including the discovery of the Monascus fungus, which is present in triticale silage and may promote fermentation during the grain-filling to milk-ripening stages. He has published three SCI papers as the first author and is actively involved in ongoing research projects related to forage fermentation.

Profile:

Academic and Professional Background:

Run Gao earned his Ph.D. from China Agricultural University in 2021. He is currently a research associate at the Shandong Academy of Agricultural Sciences, focusing on forage production and processing utilization. His work primarily involves the anaerobic fermentation of forage.

Research and Contributions:

Run Gao has made significant contributions to agricultural research, particularly in the area of forage fermentation. He discovered the fungus Monascus, which is present in triticale silage and may promote fermentation during the grain-filling to milk-ripening stages. He has published three SCI papers as the first author and is involved in ongoing research projects.

Research Areas:

  • Anaerobic fermentation of forage
  • Forage production and processing utilization

Citations:

  • Citations: 143
  • Cited Documents: 129
  • h-index: 8

Publication Top Notes:

  1. Effect of Harvest Maturity and Lactiplantibacillus plantarum Inoculant on Dynamics of Fermentation Characteristics and Bacterial and Fungal Community of Triticale Silage
    Agriculture (Switzerland), 2024, 14(10), 1707.
  2. Transcriptomic analysis of ncRNAs and mRNAs interactions during drought stress in switchgrass
    Plant Science, 2024, 339, 111930.
  3. Genome-wide characterization of LBD transcription factors in switchgrass (Panicum virgatum L.) and the involvement of PvLBD12 in salt tolerance
    Plant Cell Reports, 2023, 42(4), pp. 735–748.
  4. Panicum virgatum improvement of coastal saline-alkali soil and its feeding values
    Pratacultural Science, 2023, 40(6), pp. 1551–1558.
  5. Membership function analysis for concentrate-to-forage ratio and ensiling time in total mixed ration fermentation
    Pratacultural Science, 2023, 40(10), pp. 2711–2720.
  6. Associative effects of ensiling mixtures of sweet sorghum and korshinsk pea shrub on fermentation quality, chemical composition, and in vitro rumen digestion characteristics
    Animal Science Journal, 2022, 93(1), e13700.
  7. Evaluation of Sweet Sorghum as a High-Quality Forage in Pasture-livestock Industry Development
    Chinese Journal of Grassland, 2021, 43(3), pp. 104–112.
  8. Effect of mixing alfalfa with whole-plant corn in different proportions on fermentation characteristics and bacterial community of silage
    Agriculture (Switzerland), 2021, 11(2), pp. 1–11, 174.
  9. Effects of replacing ensiled-alfalfa with fresh-alfalfa on dynamic fermentation characteristics, chemical compositions, and protein fractions in fermented total mixed ration with different additives
    Animals, 2021, 11(2), pp. 1–16, 572.
  10. Effects of applying lactic acid bacteria and molasses on the fermentation quality, protein fractions and in vitro digestibility of baled alfalfa silage
    Agronomy, 2021, 11(1), 91.

 

Petya Veleva | Agricultural Science | Best Researcher Award

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Assoc. Prof. Dr Petya Veleva |  Agricultural Science |  Best Researcher Award

Assoc. Professor at  Department of Agricultural Engineering, Faculty of Agriculture, Trakia University, Stara Zagora, Bulgaria.

Assoc. Prof. Dr. Petya Marinova Veleva is an expert in automated systems, artificial intelligence, and precision agriculture. She holds a Master’s degree in Mechanical Engineering Technology and Machine Tools and a PhD in Automation of Engineering Labor and Systems for Automated Design. Dr. Veleva’s research focuses on intelligent data analysis, agricultural safety, and the application of artificial neural networks and Near Infrared Spectroscopy in agriculture and food safety. She has collaborated with renowned institutions, including Kobe University (Japan) and Karlsruhe Institute of Technology (Germany), and has published 34 journal articles and 6 books.

Profile:

Academic & Professional Background:

Assoc. Prof. Dr. Petya Veleva holds a Master’s degree in “Mechanical Engineering Technology and Machine Tools” and a PhD in “Automation of the Engineering Labor and Systems for Automated Design.” Her research focuses on automated systems for data analysis, artificial intelligence in precision agriculture, intelligent animal husbandry, and food safety evaluation, with specializations in artificial neural networks, Near Infrared Spectroscopy, and Aquaphotomics. She has gained valuable international experience through JSPS Fellowship in Japan, and research mobility at the Karlsruhe Institute of Technology (Germany) and the University of Agronomic Sciences and Veterinary Medicine of Bucharest (Romania).

Research & Innovations:

Dr. Veleva has completed 39 research projects and is currently involved in 6 ongoing projects. Her work has resulted in 34 journal publications (SCI, Scopus), 6 books, and 1 patent. She collaborates with prestigious institutions like Kobe University (Japan), Karlsruhe Institute of Technology (Germany), and the University of Agronomic Sciences and Veterinary Medicine of Bucharest (Romania). She is also a member of the editorial board of the journal SLOVJANI.info and has an h-index of 5 in Scopus.

Contributions:

Dr. Veleva’s research contributes to advancements in sustainable agriculture, smart crop production, and intelligent animal husbandry. Her work supports human health, bioeconomy, and quality of life through innovative applications of digital technologies and artificial intelligence in agriculture.

Publication Top Notes:

  • Impact of Different Sugar Syrups on the Development of the Fat Body in Worker Bees (Apis mellifera macedonica)
    Agriculture (2025-01-02)
    DOI: 10.3390/agriculture15010083
  • Exploring Microelement Fertilization and Visible–Near-Infrared Spectroscopy for Enhanced Productivity in Capsicum annuum and Cyprinus carpio Aquaponic Systems
    Plants (2024-12-20)
    DOI: 10.3390/plants13243566
  • Differentiation of Amaranthus Species and Estimation of Their Polyphenolic Compounds and Antioxidant Potential Using Near-Infrared Spectroscopy
    Plants (2024-11-30)
    DOI: 10.3390/plants13233370
  • Assessment of Tomato Quality through Near-Infrared Spectroscopy—Advantages, Limitations, and Integration with Multivariate Analysis Techniques
    Conference Paper (2024-08-08)
    DOI: 10.3390/engproc2024070034
  • Indirect Determination of Basic Tomato Quality Parameters Using Color Digital Images
    Conference Paper (2024-08-06)
    DOI: 10.3390/engproc2024070024
  • Near-Infrared Spectroscopy for Rapid Differentiation of Fresh and Frozen–Thawed Common Carp (Cyprinus carpio)
    Sensors (2024-06-04)
    DOI: 10.3390/s24113620
  • Evaluating the Performance and Practicality of a Multi-Parameter Assessment System with Design, Comparative Analysis, and Future Directions
    Sustainability (2024-05-14)
    DOI: 10.3390/su16104124
  • Detection of Fungal Diseases in Lettuce by VIR-NIR Spectroscopy in Aquaponics
    Microorganisms (2023)
    DOI: 10.3390/MICROORGANISMS11092348
  • Non-Destructive Determination of Plant Pigments Based on Mobile Phone Data
    TEM Journal-Technology Education Management Informatics (2023)
    DOI: 10.18421/TEM123-23
  • An Aquaphotomics Approach for Investigation of Water-Stress-Induced Changes in Maize Plants
    Sensors (2023-12-07)
    DOI: 10.3390/s23249678
  • Influence of Some Environmental Factors on Summer Phytoplankton Community Structure in the Varna Bay, Black Sea (1992–2019)
    Water (2023-04-25)
    DOI: 10.3390/w15091677

 

Joel Andrade | Plant Nutrition | Top Researcher Award

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Mr Joel Andrade |  Plant Nutrition |  Top Researcher Award

Federal Rural University of Pernambuco – UFRPE,  Brazil

Joel José de Andrade is a PhD student in Agronomy (Soil Science) at the Federal Rural University of Pernambuco (UFRPE). He holds a Master’s degree in Agronomy (Soil Science) (2021) and a Bachelor’s degree in Agricultural Engineering (2019), both from UFRPE. His academic focus includes soil science, soil chemistry, and plant nutrition, particularly in the context of semi-arid regions.

 

Publication Profile

Academic Background:

  • Ph.D. Candidate in Agronomy (Soil Science), UFRPE (in progress)
  • Master’s in Agronomy (Soil Science), UFRPE (2021)
  • Bachelor’s in Agricultural Engineering, UFRPE (2019)

Research Focus:

Joel’s research primarily revolves around soil science, focusing on soil fertility, fertilization, and plant nutrition. His recent studies include strategies to enhance phosphate fertilization efficiency in sugarcane using phosphate-solubilizing bacteria. Other notable projects include the impact of land use changes on soil carbon in Pernambuco’s semiarid regions and the use of Atriplex sp. to rehabilitate saline soils for forage production.

Key Expertise:

  • Soil Chemistry and Fertility
  • Plant Mineral Nutrition
  • Sugarcane Growth and Management
  • Soil Salinity and Management

Publication Top Note:

  • Effects of elemental sulfur associated with gypsum on soil salinity attenuation and sweet sorghum growth under saline water irrigation
    Authors: JJ de Andrade, FJM de Oliveira, LGM Pessoa, SA dos Santos Nascimento, …
    Journal: Australian Journal of Crop Science, 12 (2), 221-226
    Year: 2018
    Citations: 25
  • Phosphorous availability in Argisols and sufficiency range in sugarcane in the Northeast of Brazil
    Authors: DB Costa, FJ Freire, JO Lemos, SRV Silva, NS Bezerra, PKB Andrade, …
    Journal: Revista Ciência Agronômica, 55, e20228530
    Year: 2023
    Citations: 1
  • Phosphorus agronomic efficiency index under different fertilizer application methods in two cycles of sugarcane cultivated in tropical soils
    Authors: D Batista da Costa, FJ Freire, JJ de Andrade, SRV da Silva, …
    Journal: Communications in Soil Science and Plant Analysis, 54 (17), 2376-2393
    Year: 2023
    Citations: 1
  • Eficiência da adubação nitrogenada foliar na cana-de-açúcar
    Author: JJ Andrade
    Institution: Universidade Federal Rural de Pernambuco
    Year: 2021
    Citations: 1
  • Foliar Fertilization Improves the Nitrogen Nutrition of Sugarcane
    Authors: JJ Andrade, ECA Oliveira, AMS Lima, GPS Amorim, ES Oliveira, FJ Freire, …
    Journal: Agriculture, 14 (11), 1984
    Year: 2024
  • Biostimulant for sugarcane ripening in drip fertigated fields
    Authors: LB Silva, CM Santos, JJ Andrade, AMS Lima, AEB Rego, ECA Oliveira, …
    Journal: Revista Brasileira de Engenharia Agrícola e Ambiental, 28 (4), e279092
    Year: 2024
  • Bioestimulante para maturação de cana-de-açúcar em lavouras fertirrigadas por gotejamento
    Authors: LB Silva, CM Santos, JJ Andrade, AMS Lima, AEB Rego, ECA de Oliveira, …
    Journal: Revista Brasileira de Engenharia Agrícola e Ambiental, 28, e279092
    Year: 2024
  • Avaliação da matéria orgânica do solo em função da mudança da cobertura do solo no semiárido Pernambucano
    Authors: JJ de Andrade, EM Amaral, SA dos Santos Nascimento, GMB de Sousa, …
    Journal: Cadernos de Agroecologia, 15 (2)
    Year: 2020
  • Banco demonstrativo de sementes na região do Pajeú como ferramenta estratégica na extensão rural
    Authors: EM Amaral, SA dos Santos Nascimento, JJ de Andrade, TAF Jota, …
    Journal: Cadernos de Agroecologia, 15 (2)
    Year: 2020
  • Caracterização física e morfológica dos solos do Parque Estadual Mata da Pimenteira-PE
    Author: JJ Andrade
    Location: Brasil
    Year: 2019
  • ANÁLISE DE GERENCIAMENTO DE RESÍDUOS QUÍMICOS PRODUZIDOS POR LABORATÓRIOS DE PESQUISA E ENSINO DE NÍVEL SUPERIOR
    Authors: L de Andrade Bezerra, JJ de Andrade, NP de Souza, RC Silva, …
    Journal: GESTÃO INTEGRADA DE RESÍDUOS, 56

 

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)

 

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

 

Anelia Iantcheva | Agricultural Science | Excellence in Research

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Prof Anelia  Iantcheva |   Agricultural Science  |  Excellence in Research

Prof. Principal Investigator at  AgroBioInstitute, Agricultural Academy,  Bulgaria

Prof. Anelia Iantcheva is a distinguished researcher in plant genetics and biotechnology, currently serving as a Professor and Principal Investigator at the Agrobioinstitute of the Agricultural Academy in Bulgaria. She obtained her Master’s degree from Sofia University in 1987, followed by a Ph.D. in 1997 and a DSc in 2019 from the Agricultural Academy.

 

Publication Profile

Academic Background:

Prof. Iantcheva earned her Master’s degree from Sofia University in 1987, followed by a Ph.D. from the Agricultural Academy, Bulgaria in 1997, and a DSc degree in 2019. She became a professor and principal investigator at Agrobioinstitute in 2022.

Research Focus:

Her expertise lies in plant genetics, genomics, transcriptomics, molecular biology, and biotechnology of model and grain and forage legumes.

Research Contributions:

Prof. Iantcheva has coordinated several EU-funded projects, including Horizon 2020 “Legumes Translated” and the ongoing Horizon Europe “Legume Generation.” She has published 64 articles in indexed journals and contributed chapters to five books on somatic embryogenesis and genetic transformation.

Innovations:

Her research has led to the development of efficient plant regeneration systems and insertional mutant collections in Medicago truncatula, laying the groundwork for functional genomics in legumes. She has also innovated a low-temperature pre-treatment method for soybean seeds to enhance agricultural practices.

Publication Top Notes

  1. A novel Microbacterium strain SRS2 promotes the growth of Arabidopsis and MicroTom (S. lycopersicum) under normal and salt stress conditions
    • Journal: Planta
    • Publication Date: October 2024
    • DOI: 10.1007/s00425-024-04510-2
    • Contributors: Ho Manh Tuong, Sonia García Méndez, Michiel Vandecasteele, Anne Willems, Anelia Iantcheva, Pham Bich Ngoc, Do Tien Phat, Chu Hoang Ha, Sofie Goormachtig.
  2. Transcriptional and Metabolic Profiling of Arabidopsis thaliana Transgenic Plants Expressing Histone Acetyltransferase HAC1 upon the Application of Abiotic Stress—Salt and Low Temperature
    • Journal: Metabolites
    • Publication Year: 2023
    • DOI: 10.3390/metabo13090994
    • EID: 2-s2.0-85172238091
    • Contributors: T. Ivanova, I. Dincheva, I. Badjakov, A. Iantcheva.
  3. Transition to legume-supported farming in Europe through redesigning cropping systems
    • Journal: Agronomy for Sustainable Development
    • Publication Year: 2023
    • DOI: 10.1007/s13593-022-00861-w
    • EID: 2-s2.0-85146474358
    • Contributors: I. Notz, C.F.E. Topp, J. Schuler, S. Alves, L.A. Gallardo, J. Dauber, T. Haase, P.R. Hargreaves, M. Hennessy, A. Iantcheva, et al.
  4. Auxin and stringolactone interaction in extreme phosphate conditions
    • Book Chapter: In Agricultural Biocatalysis: Biological and Chemical Applications
    • Publication Year: 2022
    • EID: 2-s2.0-85142565230
    • ISBN: 9781000635287, 9781003313144
    • Contributors: M. Revalska, A. Iantcheva.
  5. Functional characterization of Medicago truncatula GRAS7, a member of the GRAS family transcription factors, in response to abiotic stress
    • Journal: Biotechnology and Biotechnological Equipment
    • Publication Year: 2022
    • DOI: 10.1080/13102818.2022.2074893
    • EID: 2-s2.0-85130201236
    • Contributors: M. Revalska, M. Radkova, A. Iantcheva.
  6. Legumes in natural post-fire successions of forest meadows and pastures in Northern Bulgaria
    • Journal: Thaiszia Journal of Botany
    • Publication Year: 2022
    • DOI: 10.33542/TJB2022-1-05
    • EID: 2-s2.0-85133384347
    • Contributors: G. Naydenova, M. Radkova, A. Iantcheva.
  7. Long-lasting low temperature pretreatment of soybean seeds enhances plant field performance and content of free metabolites
    • Journal: Bulgarian Journal of Agricultural Science
    • Publication Year: 2022
    • EID: 2-s2.0-85143811831
    • Contributors: G. Naidenova, I. Dincheva, I. Badjakov, M. Radkova, M. Revalska, A. Iantcheva.
  8. Moldovan soybean varieties testing in the condition of North Bulgaria
    • Journal: Bulgarian Journal of Agricultural Science
    • Publication Year: 2022
    • EID: 2-s2.0-85127731032
    • Contributors: G. Naydenova, M. Radkova, A. Iantcheva.

 

Bramwel Wanjala | Crop health | Best Paper Award

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Mr Bramwel Wanjala | Crop health | Best Paper Award

Senior Research Scientist at  Kenya Agricultural and Livestock Research Organization,  Kenya

Dr. Bramwel Waswa Wanjala is an experienced research scientist at the Kenya Agricultural and Livestock Research Organization (KALRO), where he has worked since 2003. His research primarily focuses on plant disease diagnostics and molecular biology, particularly the epidemiology and management of critical diseases like Maize Lethal Necrosis (MLN), Cassava Brown Streak Disease (CBSV), and sweetpotato viruses. Dr. Wanjala has contributed to the development of laboratory protocols, training of personnel, and the establishment of standardized practices that ensure high-quality lab operations. His work includes using genetic markers such as AFLP, SSRs, SRAP, and ISSR to analyze crop diversity, helping enhance agricultural resilience in Kenya. Dr. Wanjala’s expertise has made him a key figure in plant pathology research, where he supports capacity-building efforts and advances diagnostic methodologies for sustainable agriculture.

 

Publication Profile

Academic Background:

  • Ph.D. in Biotechnology (Expected Dec 2022) – Jomo Kenyatta University of Agriculture and Technology
  • M.Sc. in Biochemistry and Molecular Biology (2013) – Egerton University

Expertise:

Dr. Wanjala is a skilled research scientist specializing in plant disease diagnostics, molecular biology, and crop germplasm management. His work has focused on critical plant diseases in Kenya, including Maize Lethal Necrosis (MLN) and various sweetpotato viruses, employing advanced techniques like ELISA, PCR, Q-PCR, and LAMP. At the International Potato Center (CIP), he led sweetpotato virus diagnostics and developed innovative technologies for rapid vine multiplication, like sandponics, significantly aiding the sweetpotato seed system in Sub-Saharan Africa.

Key Contributions and Achievements:

  • Capacity Building: Trained numerous researchers and technical staff in virus diagnostics across East and Central Africa, including for KEPHIS.
  • Diagnostic Innovations: Validated a ClonDiag Microarray for sweetpotato virus detection, reducing testing time from 6 months to 2 days.
  • MLN Lab Establishment: Set up a diagnostic lab for MLN and trained stakeholders in disease identification and management.
  • Prebasic Seed Production: Helped establish a sustainable sweetpotato seed production system with KEPHIS, distributing over 150,000 vines to farmers.

Professional Affiliations:

  • International Society for Tropical Root Crops (African Branch)
  • African Biotechnology Stakeholders Forum (ABSF)
  • Trustee and Director of Economic Empowerment, JEDIMU Trust

Publication Top Notes

  • “Loop-Mediated Isothermal Amplification assays for on-site detection of the main sweetpotato infecting viruses”
  • “Comparative analysis for producing sweetpotato pre-basic seed using sandponics and conventional systems”
  • “Improving rapid multiplication of sweetpotato (Ipomoea batatas L. (Lam) pre-basic seed using sandponics technology in East Africa”
  • “Storage root yield of sweetpotato as influenced by sweetpotato leaf curl virus and its interaction with sweetpotato feathery mottle virus and Sweetpotato chlorotic stunt virus in Kenya”
  • “Yield potential of sandponically produced sweetpotato (Ipomoea batatas (L.) Lam) pre-basic seed for selected genotypes”

 

Américo Ferraz Dias Neto | Agriculture | BioAgri Innovator Excellence Award

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Dr Américo Ferraz Dias Neto |  Agriculture |  BioAgri Innovator Excellence Award

Executivo agrícola at  UNICAMP,  Brazil

Dr. Américo Ferraz Dias Neto is an accomplished Agricultural Engineer with over 20 years of experience in the bioenergy sector, specializing in agroindustrial processes, supply chain optimization, and sustainable agricultural operations. His expertise spans controlled traffic agriculture, digital agriculture, and predictive models for production improvement. Dr. Dias Neto has led large-scale projects and managed significant agricultural operations, gaining recognition through awards like 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): Consulting in bioenergy, specializing in agricultural production management and sustainability.
  • Novo Milênio Distillery (2023–2024): Managed agricultural production over 28,000 hectares, enhancing productivity.
  • UMOE Bioenergy (2017–2020): Oversaw agro-industrial operations for a 42,000-hectare unit producing ethanol and energy.
  • Atvos (2007–2016): Led digital agriculture and logistics projects, implementing technologies for crop monitoring and cost reduction.

Publications & Patents:

Dr. Dias Neto has contributed to numerous publications focused on mechanized sugarcane harvesting, soil management, and digital agriculture. His notable patent includes “Soft Cana,” an innovative technology for sugarcane agriculture (2022).

Awards:

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

Publication Top Notes

  • Advancements of Agriculture 4.0 in Mechanized Sugarcane Harvesting: A Review
    Ciência Rural (2024)
    DOI: 10.1590/0103-8478cr20220562
    Contributors: Américo Ferraz Dias Neto, Jenyffer da Silva Gomes Santos, Raffaella Rossetto, João Domingos Biagi, Daniel Albiero
  • Use of Vegetation Activity Index for Evaluation of L-Alpha Amino Acid Treatment in Sugarcane Agriculture
    Agriculture (2024)
    DOI: 10.3390/agriculture14111877
    Contributors: Américo Ferraz Dias Neto, Ivan Bazo Bergamim, Flavio Roberto de Freitas Gonçalves, Raffaella Rossetto, Daniel Albiero
  • Use of Vegetation Activity Index for Evaluation of L-Alpha Amino Acid Treatment in Sugarcane (Preprint)
    (2024-09-22)
    DOI: 10.20944/preprints202409.1603.v1
    Contributors: Américo Ferraz Dias Neto, Ivan Bazo Bergamim, Flavio Roberto de Freitas Gonçalves, Raffaella Rossetto, Daniel Albiero
  • Strip Soil Tillage and Traffic Over the Soil on Sugar Cane Compared to Conventional Tillage Systems
    Sugar Tech (2023)
    DOI: 10.1007/s12355-023-01267-y
    Contributors: Américo Ferraz Dias Neto, Daniel Albiero, Raffaella Rossetto, João D. Biagi, Jenyffer Gomes da Silva
  • Modeling of Mechanized Sugarcane Harvesting to Support Decision-Making on Asset Management
    Sugar Tech (2022)
    DOI: 10.1007/s12355-022-01126-2
    Contributors: Américo Ferraz Dias Neto, Daniel Albiero, Raffaella Rossetto, João D. Biagi

 

Samuel Alemayehu | Agriculture | Best Researcher Award

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Dr Samuel Alemayehu | Agriculture |  Best Researcher Award

Mekelle university,  Ethiopia

Dr. Samuel Alemayehu Lapiso is an accomplished academic and researcher specializing in Plant Breeding and Seed Systems. He earned his Ph.D. from Mekelle University in 2023, with a focus on the diversity of storage molds and mycotoxins in chickpea and sesame in Ethiopia. With a Master’s degree in Microbiology from Hawassa University and a Bachelor’s in Biology from Haramaya University, he has a robust educational foundation. Dr. Lapiso has held various academic roles at Mekelle University since 2009, including Assistant Professor and Lecturer. His research interests include post-harvest loss management, mycotoxin contamination, and microbial quality analysis of food and water. He has contributed significantly to community service through training programs on safer agricultural practices and has published numerous articles in reputable journals. Dr. Lapiso is also a member of several professional societies, including the Ethiopian Society for Microbiology and the American Geoscience Union.

Publication Profile

Educational Background:

  • Ph.D. in Plant Breeding and Seed Systems (2017-2023), Mekelle University (GPA: 3.97/4.00)
    Research Topic: Diversity of Storage Molds and Mycotoxins in Chickpea and Sesame in Ethiopia
  • M.Sc. in Microbiology (2010-2012), Hawassa University (GPA: 3.48/4.00)
    Thesis: Investigation of Colletotrichum spp. on Mango and Banana in Southern Ethiopia
  • B.Sc. in Biology (2003-2006), Haramaya University (GPA: 3.26/4.00)
    Project: Microbiological Quality of Drinking Water in Bati Haramaya
  • Higher Diploma in Teaching Profession (2009), Mekelle University

Professional Experience:

  • Assistant Professor (2015-Present), Mekelle University
  • Lecturer (2012-2015), Mekelle University
  • Graduate Assistant (2009-2012), Mekelle University
  • Assistant Coordinator, Feed the Future Innovation Lab for Post-Harvest Loss Reduction, Ethiopia (Since 2018)
  • Biology Teacher, Mudulla Senior Secondary School, Tembaro District (2006-2008)

Research Interests:

Samuel specializes in post-harvest loss management, particularly mycotoxin contamination in pulse and oil crops. His expertise includes molecular-based identification of toxigenic microbial species, mycotoxin detection and management, and microbial quality analysis of food and water.

Professional Memberships:

  • American Geoscience Union (AGU) (2023-Present)
  • Ethiopian Society for Microbiology (ESM) (2016-Present)
  • Biological Society of Ethiopia (BSE) (2014-Present)
  • Ethiopian Society of Postharvest Management (2019-Present)

Publication Top Notes

Occurrence and Levels of Mycotoxins in On-Farm-Stored Sesame in Major Growing Districts of Ethiopia
Agriculture, 2024-02
DOI: 10.3390/agriculture14030372
Authors: Samuel Alemayehu, Fetien Abay Abera, Kiros-Meles Ayimut, Jagger Harvey, Rizana Mahroof, Subramanyam Bhadriraju, Jonathan Ulmer, Richard Edema
Source: Multidisciplinary Digital Publishing Institute

 

Arti Goel | Agriculture Nanotechnology | Women Researcher Award

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Dr Arti Goel |  Agriculture Nanotechnology |  Women Researcher Award

Assistant Professor III at  Amity University, Noida,  India

Dr. Arti Goel is an Assistant Professor at the Amity Institute of Microbial Biotechnology since May 2011. She has expertise in microbial biotechnology and has contributed significantly to the field through research, teaching, and editorial roles. Dr. Goel has received various awards for her research contributions and has guided several Ph.D. candidates.

Publication profile:

Education:

  • Ph.D. in Microbiology, Mohan Lal Sukhadia University, Udaipur, India (2008)
  • M.Sc. in Botany, Mohan Lal Sukhadia University, Udaipur, India (2003, 70.3%)
  • B.Sc. in Chemistry, Botany, and Environmental Biology, Mohan Lal Sukhadia University, Udaipur, India (2001, 72.6%)

Professional Experience:

Dr. Goel is currently an Assistant Professor at the Amity Institute of Microbial Biotechnology, where she has been since May 2011. She has served as a Program Coordinator for the Ph.D. in Microbial Biotechnology and is a member of several committees, including the DRC, SRC, and the Institutional Area Advisory Board. Previously, she worked as a Research Associate on a World Bank-funded project at CAZRI, Jodhpur, and has lectured at various universities.

Research Interests:

Her research primarily focuses on the biocontrol of fungal diseases through innovative approaches, including the use of biosynthesized metal nanoparticles.

Awards and Recognitions:

Dr. Goel has received multiple accolades, including the Best Researcher Award 2020 from VD Good International Scientists Awards, the International Teaching and Research Excellence Award in Nanobiotechnology 2021, and the Women Researcher Award 2022 from INSO Awards. She has served as an editor and regional editor for various scientific journals and has actively participated in international conferences.

Research Impact:

  • Citations: 599 (389 since 2019)
  • h-index: 12 (11 since 2019)
  • i10-index: 14 (11 since 2019)

 

Publication Top Notes:

  1. Effect of phosphate solubilizing bacteria on the germination of Cicer arietinum seeds and seedling growth
    K Sharma, G Dak, A Agrawal, M Bhatnagar, R Sharma
    Journal of Herbal Medicine and Toxicology, 1 (1), 61-63, 2007.
    Citations: 192
  2. ZnO nanoparticles induced synthesis of polysaccharides and phosphatases by Aspergillus fungi
    JC Tarafdar, A Agrawal, R Raliya, P Kumar, U Burman, RK Kaul
    Advanced Science, Engineering and Medicine, 4 (4), 324-328, 2012.
    Citations: 102
  3. Magnesium and iron nanoparticles production using microorganisms and various salts
    RK Kaul, P Kumar, U Burman, P Joshi, A Agrawal, R Raliya, JC Tarafdar
    Materials Science-Poland, 30, 254-258, 2012.
    Citations: 93
  4. Biocontrol potential of mycogenic copper oxide nanoparticles against Alternaria brassicae
    S Gaba, AK Rai, A Varma, R Prasad, A Goel
    Frontiers in Chemistry, 10, 966396, 2022.
    Citations: 22
  5. Mechanistic Insight of the Antifungal Potential of Green Synthesized Zinc Oxide Nanoparticles against Alternaria brassicae
    S Dhiman, A Varma, R Prasad, A Goel
    Journal of Nanomaterials, 2022 (1), 7138843, 2022.
    Citations: 17
  6. Phytofabricated zinc oxide nanoparticles as a nanofungicide for management of Alternaria blight of Brassica
    S Dhiman, S Singh, A Varma, A Goel
    Biometals, 34, 1275-1293, 2021.
    Citations: 17
  7. Microbial enzymes with special reference to α-amylase
    TK Sahni, A Goel
    Bio Evol, 2, 19-25, 2015.
    Citations: 17
  8. Agricultural applications of nanotechnology
    A Goel
    J Biol Chem Res, 32, 260-266, 2015.
    Citations: 16
  9. Effect of Euphorbia pulcherrima leaf and inflorescence extract on various cytomorphological parameters of Aspergillus fumigatus
    A Goel, K Sharma
    International Journal of Biotechnology and Bioengineering, 7 (9), 859-862, 2013.
    Citations: 16
  10. Plant extracts and phytochemicals as herbal medicines and antimicrobials
    A Goel, K Sharma
    International Journal of Biological and Medical Research, 5 (1), 3940-3946, 2014.
    Citations: 14
  11. Anticancerous potential of plant extracts and phytochemicals
    A Goel
    J. Biol. Chem. Research, 30 (2), 537-558, 2013.
    Citations: 14
  12. Deciphering the fertilizing and disease suppression potential of phytofabricated zinc oxide nanoparticles on Brassica juncea
    S Dhiman, A Varma, M Rao, R Prasad, A Goel
    Environmental Research, 231, 116276, 2023.
    Citations: 13
  13. Protective and curative activity of biogenic copper oxide nanoparticles against Alternaria blight disease in oilseed crops: a review
    S Gaba, A Varma, A Goel
    Journal of Plant Diseases and Protection, 129 (2), 215-229, 2022.
    Citations: 12
  14. Role of bacterial endophytes in the promotion of plant growth
    I Kohli, S Mohapatra, P Kumar, A Goel, A Varma, NC Joshi
    Bacterial Endophytes for Sustainable Agriculture and Environmental Protection, 2022.
    Citations: 11
  15. Leveraging of mycogenic copper oxide nanostructures for disease management of Alternaria blight of Brassica juncea
    S Gaba, L Prasad, A Varma, AK Rai, R Prasad, A Goel
    Green Processing and Synthesis, 12 (1), 20230015, 2023.
    Citations: 8
  16. Trichoderma Mediated Metal Chelator and Its Role in Solanum melongena Growth Under Heavy Metals
    G Yadav, N Sharma, A Goel, A Varma, A Mishra, SL Kothari
    Journal of Plant Growth Regulation, 43 (1), 178-200, 2024.
    Citations: 6
  17. Exploring the Impact of Bioformulated Copper Oxide Nanoparticles on Cytomorphology of Alternaria brassicicola
    S Gaba, A Varma, R Prasad, A Goel
    Current Microbiology, 79 (8), 244, 2022.
    Citations: 6
  18. Bio-nanosensors: Synthesis and Their Substantial Role in Agriculture
    S Dhiman, S Gaba, A Varma, A Goel
    Plant-Microbes-Engineered Nano-particles (PM-ENPs) Nexus in Agro-Ecosystems, 2021.
    Citations: 6
  19. Biofabricated nanoscale ZnO and their prospective in disease suppression and crop growth of Brassica species: A review
    S Dhiman, A Varma, A Goel
    Biocatalysis and Agricultural Biotechnology, 37, 102171, 2021.
    Citations: 3
  20. Impact of nanotechnology on environment
    A Goel
    Proceedings of the National Conference on Innovative Research in Agricultural, Food Sciences, Forestry, Horticulture, Aquaculture, and Animal Husbandry, 2015.
    Citations: 3