Laxuman | Crop Science & Breeding | Research Excellence Award

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Research Excellence Award

Laxuman — Zonal Agricultural Research Station, India

Laxuman
Affiliation Zonal Agricultural Research Station
Country India
Scopus ID 57219602798
Documents 21
Citations 117
h-index 5
Subject Area Crop Science & Breeding
Event Agri Scientist Awards
ORCID 0000-0002-0893-2043

Laxuman is a researcher affiliated with the Zonal Agricultural Research Station in India whose scholarly profile is associated with crop science and breeding. The available bibliometric information records 21 documents, 117 citations, and an h-index of 5. His research profile is considered here in relation to agricultural research, crop improvement, breeding, and related scientific applications. The article presents a neutral academic overview of his documented research indicators and their relevance to the Agri Scientist Awards, without treating bibliometric measures alone as definitive evidence of research quality.

Abstract

Laxuman is an agricultural researcher affiliated with the Zonal Agricultural Research Station, India, with a scholarly profile centered on crop science and breeding. His indexed record comprises 21 documents, 117 citations, and an h-index of 5, providing measurable indicators of research visibility and scholarly engagement. His work is considered within the broader context of crop improvement, breeding research, agricultural productivity, and scientific knowledge development. This article evaluates his documented research profile and its relevance to recognition through the Agri Scientist Awards. The assessment remains evidence-based, emphasizing published research, bibliometric indicators, subject alignment, and verifiable academic profiles.

Keywords

Crop science; crop breeding; plant breeding; crop improvement; agricultural research; genetic improvement; varietal development; agronomy; breeding technology; agricultural productivity; plant genetics; crop diversity; sustainable agriculture; yield improvement; agricultural innovation; germplasm evaluation; trait selection; breeding strategies; crop performance; scientific research.

Introduction

Laxuman represents a research profile situated within agricultural science, particularly crop science and breeding, disciplines that contribute to improving crop performance and agricultural sustainability. His documented affiliation with the Zonal Agricultural Research Station provides an institutional context for applied agricultural research. Bibliographic databases such as Scopus provide standardized indicators for evaluating scholarly publication and citation activity. [1]

Research Profile

Laxuman has a recorded Scopus author identifier of 57219602798 and an indexed publication record comprising 21 documents, 117 citations, and an h-index of 5. These indicators provide a quantitative description of his scholarly visibility but should be interpreted alongside publication quality, research relevance, collaboration, and contribution to agricultural knowledge. His ORCID identifier supports persistent researcher identification across scholarly systems. [2]

Research Contributions

Laxuman is associated with crop science and breeding, a field concerned with understanding crop characteristics and developing improved plant materials. Research in this area may address genetic variation, selection, crop performance, productivity, and adaptation. His documented scholarly profile therefore aligns with agricultural research objectives involving crop improvement and scientific support for farming systems and food production.[3]

Publications

Laxuman has 21 documents recorded in the supplied Scopus profile, indicating a sustained body of indexed scholarly output. The available information does not provide individual publication titles, journals, publication years, or DOI identifiers; therefore, specific articles are not attributed here without independent bibliographic verification. Publication-level assessment should consider research originality, methodological rigor, journal quality, citations, and relevance to crop science and breeding. [1]

Research Impact

Laxuman has accumulated 117 citations and an h-index of 5 according to the supplied research profile. These measures indicate that multiple publications have received scholarly attention within indexed literature, although citation counts vary across disciplines, databases, publication ages, and research communities. ORCID and other researcher profiles can additionally assist in distinguishing scholarly outputs and maintaining accurate attribution. [2]

Award Suitability

Laxuman demonstrates several characteristics relevant to consideration for the Agri Scientist Awards, including an identifiable agricultural research affiliation, indexed scholarly publications, citation activity, and specialization in crop science and breeding. These indicators establish subject-area alignment with agricultural scientific recognition. Final award suitability, however, should be determined by the award organizers using their official eligibility criteria and evaluation procedures. [4]

Conclusion

Laxuman has a documented research profile in crop science and breeding, supported by 21 indexed documents, 117 citations, and an h-index of 5. His affiliation with the Zonal Agricultural Research Station further situates his work within agricultural research. The available indicators provide a useful basis for academic recognition, while comprehensive evaluation should also consider publication quality, originality, practical relevance, and broader contributions to crop improvement and agricultural science.

References

  1. Elsevier. (n.d.). Scopus author details: Laxuman, Author ID 57219602798. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57219602798
  2. ORCID. (n.d.). Laxuman, ORCID iD 0000-0002-0893-2043. ORCID.
    https://orcid.org/0000-0002-0893-2043
  3. Google Scholar. (n.d.). Scholar profile for Laxuman. Google Scholar.
    https://scholar.google.com/citations?user=8hoB8hUAAAAJ&hl=en&authuser=1
  4. Agri Scientist Awards. (n.d.). Official award information and program website.
    https://agriscientist.org/
  5. ResearchGate. (n.d.). Laxuman Chinchole research profile. ResearchGate.
    https://www.researchgate.net/profile/Laxuman-Chinchole-2

Hamid Khazaei | Crop Science & Breeding | Excellence in Research Award

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Excellence in Research Award

Hamid Khazaei — Natural Resources Institute Finland, Finland

Hamid Khazaei
Affiliation Natural Resources Institute Finland
Country Finland
Scopus ID 24376739000
Documents 67
Citations 2,327
h-index 25
Subject Area Crop Science & Breeding
Event Agri Scientist Awards
ORCID 0000-0002-5202-8764

Hamid Khazaei is an Associate Professor in Plant Genomics and Breeding at the Natural Resources Institute Finland, with research spanning plant breeding, genetics, genomics, legumes, faba bean, stress physiology, and crop quality. His research profile demonstrates sustained engagement with crop improvement, genetic resources, molecular breeding, and climate-resilient agriculture. Institutional records identify his expertise across plant breeding and genomics, while recent research addresses multi-stress resilience, gene editing, faba bean physiology, genetic diversity, and legume production systems. [1][2]

Abstract

Hamid Khazaei is a plant genomics and breeding researcher whose work connects genetic resources, crop improvement, legume biology, stress physiology, and molecular approaches to sustainable agriculture. His research includes faba bean genetics, genomic diversity, genotype-by-environment interactions, disease resistance, crop quality, and strategies for improving resilience under complex environmental stresses. Recent publications address multi-stress crop breeding, gene editing and genetic gain, physiological responses, and farmer-oriented legume production systems. His academic profile combines experimental research with broader perspectives on breeding methodology and food-system resilience, providing a research portfolio relevant to contemporary crop science and agricultural biotechnology worldwide.[3]

Keywords

Plant breeding, plant genomics, crop genetics, faba bean, lentil, legumes, genetic resources, molecular breeding, genomic selection, gene editing, genetic gain, stress physiology, multi-stress resilience, drought response, transpiration, crop quality, metabolomics, disease resistance, genotype-by-environment interaction, phenotyping, trait mapping, germplasm characterization, sustainable agriculture, climate resilience, and crop improvement. [2]

Introduction

Hamid Khazaei works within crop science and plant breeding, emphasizing the genetic and physiological mechanisms that can support improved agricultural performance. His institutional profile identifies plant breeding, genetics, genomics, legumes, faba bean, stress physiology, and crop quality among his areas of expertise. His research also connects genetic resources with practical crop improvement and sustainable production challenges. [1]

Research Profile

Hamid Khazaei has developed a research profile centered on plant genomics and breeding, with particular emphasis on legume crops and faba bean. University records document his academic activities and research outputs across agricultural biotechnology, while his current institutional role focuses on plant genomics and breeding. His work encompasses genetic diversity, molecular characterization, physiological traits, and crop adaptation. [1][2]

Research Contributions

Hamid Khazaei contributes to crop improvement through studies of genetic diversity, genomic resources, disease resistance, stress responses, and breeding strategies. His publications include research on faba bean genetic architecture, mutant collections, metabolomic variation, physiological responses, and genotype-by-environment interactions. Recent work further considers multi-stress resilience and the potential contribution of gene editing to measurable genetic gain in breeding programs. [3][4]

Publications

Hamid Khazaei has published research covering faba bean genetic and genomic tools, lentil genetics, crop resilience, stress physiology, genetic resources, disease resistance, and breeding methodology. Recent publications include Breeding for multi-stress resilience in crops: Myth or possibility?, Rethinking gene editing impact in plant breeding as measured by genetic gain, and research concerning faba bean physiological responses and genetic resources. His institutional publication record also includes work on metabolomics, genotyping-by-sequencing, mutant collections, and crop diversity. [2][3][4]

Research Impact

Hamid Khazaei demonstrates research impact through a broad publication portfolio addressing crop genetics, breeding, resilience, and sustainable legume production. His work contributes evidence relevant to genetic resource utilization, stress adaptation, crop quality, and disease resistance. The supplied research metrics report 67 documents, 2,327 citations, and an h-index of 25, while independent institutional records confirm extensive research output and continuing scholarly activity. [1][2]

Award Suitability

Hamid Khazaei presents a research profile that aligns closely with an Excellence in Research Award focused on crop science and breeding. His documented expertise, sustained publication activity, work on genetic resources and crop improvement, and recent contributions to climate resilience and breeding innovation provide substantive evidence for consideration. The proposed recognition is associated with the Agri Scientist Awards and should be evaluated according to the organizers’ published criteria and independent verification of research records. [1][2]

Conclusion

Hamid Khazaei represents an established research profile in plant genomics and breeding, with substantial activity across legumes, faba bean, genetic resources, stress physiology, molecular breeding, and crop resilience. His recent research extends these themes toward multi-stress adaptation and gene-editing applications in breeding. Collectively, the documented work provides a strong scholarly basis for recognition within crop science and breeding. [1][3]

References

  1. Natural Resources Institute Finland. (n.d.). Hamid Khazaei — Associate Professor, Plant Genomics and Breeding. Natural Resources Institute Finland.
    https://www.luke.fi/en/experts/hamid-khazaei
  2. University of Helsinki. (n.d.). Hamid Khazaei — Research Portal. University of Helsinki Research Portal.
    https://researchportal.helsinki.fi/en/persons/hamid-khazaei-2/
  3. Khazaei, H., Dodd, I. C., & Ortiz, R. (2026). Breeding for multi-stress resilience in crops: Myth or possibility? Plants, People, Planet. https://doi.org/10.1002/ppp3.70185
  4. Khazaei, H., & Ortiz, R. (2026). Rethinking gene editing impact in plant breeding as measured by genetic gain. Food Security.  https://doi.org/10.1007/s12571-026-01690-5
  5. Khazaei, H., Carlson-Nilsson, U., Schulman, A. H., et al. (2024). The Jan Sjödin faba bean mutant collection: morphological and molecular characterization. Genetic Resources and Crop Evolution, 161, 37.
    https://doi.org/10.1186/s41065-024-00339-7

Abe Gerrano | Plant Breeding | Research Excellence Award

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Dr. Abe Gerrano | Plant Breeding | Research Excellence Award

Senior Scientist | Agricultural Research Council | South Africa

Prof. Abe Shegro Gerrano is a researcher specializing in Plant Breeding and Genetics, with a strong focus on crop improvement for food and nutrition security. His research centers on the genetic enhancement of underutilized leguminous, leafy, and fruit vegetables, including cowpea, Bambara groundnut, amaranth, okra, pigeonpea, and taro, with emerging interests in climate-resilient cultivars, nutritional quality, and the integration of molecular breeding and genomics tools. He serves as a Senior Research Scientist at the Agricultural Research Council – Vegetables, Industrial and Medicinal Plants (ARC-VIMP), Pretoria, and holds affiliated academic and research appointments with national and international institutions. Prof. Gerrano has contributed significantly to the development and evaluation of drought- and heat-tolerant genotypes, genetic diversity assessment, and seed system research, producing high-impact peer-reviewed outputs and book chapters. His impact vision emphasizes translating plant genetic resources into resilient crop solutions that advance sustainable agriculture, strengthen food systems, and support global innovation in climate-smart crop production.

Citation Metrics (Google Scholar)

3000

2000

100

0

Citations
2,804

i10-index
71

h-index
30

🟦 Citations
🟥 i10-index
🟩 h-index


View Google Scholar
 View ORCID
 View Research Gate

Featured Publications

Latif Ahmad Peer | Plant Science | Best Researcher Award

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Dr. Latif Ahmad Peer  | Plant Science | Best Researcher Award

Associate Professor at University of Kashmir, India

Dr. Latif Ahmad Peer is an Associate Professor in the Department of Botany at the University of Kashmir, specializing in plant morphogenesis and climate-smart agriculture. He earned his Ph.D. in Botany in 2022 with research focused on morphogenetic assessment in Zea mays L., contributing to sustainable agricultural practices. With over two decades of academic and teaching experience, Dr. Peer has served in various roles, progressing from Lecturer to Associate Professor since 2007.

Profile:

🎓 Academic Journey:

Dr. Latif Ahmad Peer earned his Ph.D. in Botany from the University of Kashmir in 2022, with a thesis titled “Morphogenetic assessment in Zea mays L. with reference to climate smart agriculture.” He also holds a Master’s degree in Botany (2003) and a Bachelor’s in Biology and Chemistry (2001).

👨‍🏫 Academic Roles & Experience:

With over 20 years of teaching and research experience, Dr. Peer currently serves as an Associate Professor in the Department of Botany, University of Kashmir. He has previously worked as a Lecturer and Assistant Professor, contributing significantly to both undergraduate and postgraduate education.

🔬 Research Focus:

His research interests center around climate-smart agriculture, morphogenetic plant analysis, and the adaptation of Zea mays L. (maize) to environmental stress, with an emphasis on improving crop resilience and sustainability.

🏛️ University Service & Leadership:

Dr. Peer plays an active role in the university’s academic and administrative activities:

  • Academic & Career Counsellor

  • Member of UG/PG Boards of Studies

  • Incharge of the Computer Lab & Department Auditorium

  • Member of Research and Admission Committees

🌱 Impact & Vision:

Dedicated to sustainable agricultural development and botanical innovation, Dr. Peer’s work contributes to environmentally adaptive farming practices in the Himalayan region and beyond.

Publication Top Notes:

  • Floral Induction Pathways: Decision Making and Determination in Plants to Flower – A Comprehensive Review

  • High Temperature Triggered Plant Responses From Whole Plant to Cellular Level

  • Potential Antioxidant Activity of Some Mushrooms Growing in Kashmir Valley

  • Traditional Uses, Phytochemistry, Pharmacology, and Toxicology of the Genus Artemisia L. (Asteraceae): A High-Value Medicinal Plant

  • Phenolic Content, Antioxidant and Allelopathic Potential of Artemisia brevifolia Wall. ex DC. Across the Elevations of Western Himalayan Region of Ladakh

  • Phytochemistry, Pharmacological Activities, and Ethnomedicinal Importance of the Highly Valuable Endangered Plant, Podophyllum hexandrum: A Comprehensive Review

  • Rhizosphere Mycobiome Diversity of Medicinal Plants: A Review

  • Genetic, Molecular and Physiological Crosstalk During Drought Tolerance in Maize (Zea mays): Pathways to Resilient Agriculture

  • Repurposing of Plant-Based Antiviral Molecules for the Treatment of COVID-19

  • Drought Stress-Induced Impact on Morpho-Physiological Traits in Maize Landraces of Kashmir

  • Phytochemistry, Biological Properties, Economic and Ecological Importance of Taraxacum officinale: A Review

  • Genetic Diversity Analysis in Maize Landraces Under Temperate Ecology

  • Phytochemistry, Biological Activity and Medicinal Importance of Urtica dioica: A Review

  • Self-Incompatibility Patterns and Signal Transduction

  • Medicinal Plants of the Himalayan Tral Region of Kashmir, India: An Ethnobotanical Study of Their Diversity, Use Patterns, and Health Implications

  • Maize Characterization: From Genotyping to High-Throughput Phenotyping

  • Effect of Plant Growth Promoting Bacillus Species on the Growth of Blue Pine Seedlings

  • Cowpea Wild Relatives for Cowpea Sustainability Through Introgression Breeding

  • Harnessing Phytohormone Dynamics to Fortify Crop Resilience Against Drought: A Comprehensive Review

  • Comprehensive Morphological Characterization of Cowpea (Vigna unguiculata (L.) Walp.) Genotypes for Enhanced Breeding Programs in Jammu and Kashmir

 

Johnpaul M | Agriculture | Best Researcher Award

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Dr. Johnpaul M | Agriculture | Best Researcher Award

Assistant Professor at Central University of Kerala,  India

Dr. Johnpaul M. is an Assistant Professor in the Department of Management Studies at the Central University of Kerala. With a strong academic and research background, he specializes in [insert area of expertise – e.g., organizational behavior, strategic management, etc.]. His work focuses on [briefly mention research interests or teaching areas], and he has contributed to several national and international conferences and journals. Passionate about education and innovation, Dr. Johnpaul is committed to nurturing future leaders in management studies.

Profile:

🎓 Academic Qualifications:

  • Ph.D. in Management, Mahatma Gandhi University, Nalgonda
    Thesis: Marketing Strategies for Implementation of Digital Economy: A Study with Special Reference to Select Sectors in Telangana State

  • M.B.A. (Master of Business Administration)

  • M.A. (Economics)

  • UGC-NET & AP-SET Qualified

  • Ph.D. (Management)

🏫 Teaching Experience:

  • Assistant Professor, Dept. of Management Studies, Central University of Kerala (July 2022 – Present)

  • Assistant Professor, Dept. of Business Studies, Mahatma Gandhi University, Nalgonda (Sept 2009 – July 2022)
    Total Teaching Experience: 14 years

🧑‍💼 Administrative Roles:

  • Coordinator, Academic Audit Cell, MG University (2016–2021)

  • NSS Program Officer, University College of Commerce & Business Management (2015–2021)

  • Member, AICTE Internal College Committee, MG University

  • Warden, Nagarjuna Boys Hostel, Panagal (2011–2014)

🧠 Area of Research:

  • Digital Economy & Marketing Strategies

  • Artificial Intelligence & Machine Learning in Business

  • Sustainable Tourism and Corporate Governance

  • Digital Banking and Financial Technologies

  • Bibliometric Analysis and Decision-Making Models

  • Blockchain and IoT in Supply Chain

Publication Top Notes:

 

Gizaw Tilahun | Plant Breeding | Best Researcher Award

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Mr.  Gizaw  Tilahun | Plant Breeding | Best Researcher Award

Ethiopian Institute of Agricultural Research,  Ethiopia

Gizaw Wegayehu Tilahun is a skilled plant breeder and agronomist with over 7 years of experience in research, particularly in plant breeding, agronomy, crop protection, and participatory breeding. He specializes in barley, potatoes, garlic, vegetables, and highland seed spices. He is currently a Researcher I at the Ethiopian Institute of Agricultural Research (EIAR), Kulumsa Center, where he conducts extensive research on crop improvement and disease management. His work involves improving crop varieties for better resilience to biotic and abiotic stresses, and he actively engages smallholder farmers in applying advanced agricultural technologies.

Profile:

Education:

  • MSc. in Plant Breeding – Hawassa University, Ethiopia (2022)
    Thesis: Phenotypic Variability and Participatory Selection of Food Barley Genotypes for Moisture Stress

  • BSc. in Plant Science – Debre Berhan University, Ethiopia (2015)

Professional Experience:

  • Researcher I (2024 – Present) – Focus on potato, garlic, vegetables, spices, root, and tuber crops, proposal writing, data collection, and analysis.

  • Associate Researcher (2022 – 2024) – Conducted research on various crops and their performance under different conditions.

  • Assistant Researcher II (2018 – 2022) – Contributed to studies on vegetables, potatoes, and root crops.

  • Agronomist Supervisor at Almeta Impex (2016), managing disease, insect, and nutrient deficiency monitoring.

Selected Publications:

  • Tilahun, G.W., Zeleke, A.A., & Limeneh, D.F. (2025). Agronomic Evaluation and Genetic Variability Studies on Fenugreek. Ecological Genetics and Genomics

  • Tilahun, G.W., Fufa, N., et al. (2024). Stability and Performance of Potato Varieties in Ethiopia. International Journal of Agricultural Research

  • Tilahun, G.W., Galalcha, D.T., et al. (2023). Genetic Diversity of Ethiopian Coriander Accessions. International Journal of Bio-resource and Stress Management

Memberships:

  • Ethiopian Crop Science Society

  • Ethiopian Horticulture Science Society

  • Coffee Science Society

  • Protection Science Society

Parastoo Majidian | Plant Breeding | Best Researcher Award

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Assist. Prof. Dr  Parastoo  Majidian |  Plant Breeding |  Best Researcher Award

Assistant Professor at  Agricultural Research, Education and Extension Organization,  Iran

Dr. Parastoo Majidian is an Assistant Professor in the Crop and Horticultural Science Research Department at the Mazandaran Agricultural and Natural Resources Research and Education Center, AREEO, Sari, Iran. She holds a Ph.D. in Plant Breeding with a specialization in Genetic Engineering and Molecular Genetics from Sari University of Agricultural Sciences and Natural Resources. Her research focuses on plant genetics, breeding, molecular biology, proteomics, and stress resistance in crops. Dr. Majidian has extensive teaching experience in biotechnology, genetic engineering, and plant physiology at various academic institutions. She has conducted workshops on soybean and camelina cultivation and is a member of several scientific societies in genetics, biotechnology, and agronomy.

Profile:

🎓 Education:

  • Ph.D. in Plant Breeding – Genetic Engineering & Molecular Genetics (2016) – Sari University of Agricultural Sciences and Natural Resources
    • Thesis: Evaluation of artificial regulation system in Bacillus subtilis in order to transcriptional control
  • M.Sc. in Agricultural Engineering – Plant Biotechnology (2011) – Sari University of Agricultural Sciences and Natural Resources
    • Thesis: Genetic diversity of apricot cultivars using SSR and AFLP markers
  • B.Sc. in Plant Pathology (2007) – University of Mazandaran

🧪 Research & Expertise:

✅ Plant Genetics & Breeding | ✅ Genetic Engineering | ✅ Proteomics | ✅ Molecular Biology
✅ Plant Physiology | ✅ Biometric & Statistical Genomics | ✅ Abiotic & Biotic Stress Resistance

🏫 Teaching & Academic Contributions:

  • Lecturer at Payam Noor University & Sana Institute of Higher Education
  • Courses: Biotechnology, Genetic Engineering, Biochemistry, Bioinformatics, Plant Breeding & Physiology
  • Conducted multiple workshops on soybean and camelina cultivation & breeding

🏆 Honors & Achievements:

  • Research grant recipient, Ministry of Science, Research & Technology (2014-2015)
  • Researcher at Kobe University, Japan (2014-2015) & ABRII, Iran (2009-2011)
  • Member of Iranian Genetic Society, Iranian Biotechnology Society, Iranian Agronomy & Plant Breeding Society

Citations:

Citations: 366 (since 2020: 288)
h-index: 8 (since 2020: 6)
i10-index: 6 (since 2020: 5)

Publication Top Notes:

  • Metabolic engineering of microorganisms for biofuel production – Renewable and Sustainable Energy Reviews 82, 3863-3885 (2018)
  • Stevia rebaudiana Bertoni responses to salt stress and chitosan elicitor – Physiology and Molecular Biology of Plants (2020)
  • Saffron (Crocus sativus L.), a monomorphic or polymorphic species? – Spanish Journal of Agricultural Research 12 (3), 753-762 (2014)
  • Molecular variability and genetic relationship and structure of Iranian Prunus rootstocks revealed by SSR and AFLP markers – Scientia Horticulturae 172, 258-264 (2014)
  • Integration of molecular and geographical data analysis of Iranian Prunus scoparia populations in order to assess genetic diversity and conservation planning – Scientia Horticulturae 247, 49-57 (2019)
  • Achieving agricultural sustainability through soybean production in Iran: Potential and challenges – Heliyon 10 (2024)
  • Assessment of Iranian apricot cultivars resistant, susceptible, and mutant to late spring frost – Journal of Plant Molecular Breeding 4 (2), 9-16 (2016)
  • Identification of self-compatibility and self-incompatibility genotypes in almond and some Prunus species using molecular markers – (2012)
  • Bacillus subtilis GntR regulation modified to devise artificial transient induction systems – The Journal of General and Applied Microbiology 62 (6), 277-285 (2016)
  • Study of some morphological responses of Stevia (Stevia rebaudiana Bertoni) to chitosan elicitor under salt stress – Journal of Crop Breeding 12 (33), 150-161 (2020)
  • Commercial Iranian olive cultivars: morphological traits, molecular diversity, and genetic structure – The Journal of Horticultural Science and Biotechnology 91 (4), 404-411 (2016)
  • First report of a set of genetic identities in Prunus rootstocks by SSR markers – Journal of Plant Molecular Breeding 4 (1), 17-25 (2016)
  • Salinity Stress in Plants: Challenges in View of Physiological Aspects – Abiotic Stress in Crop Plants – Ecophysiological Responses and Molecular (2024)
  • The potential application of biochar and salicylic acid to alleviate salt stress in soybean (Glycine max L.) – Heliyon 10 (4) (2024)
  • Phylogenetic relationships among Iranian and Spanish date palms (Phoenix dactylifera L.) revealed by microsatellite markers – The Journal of Horticultural Science and Biotechnology 89 (2), 115-120 (2014)
  • Evaluation of genetic relationships of some apricot accessions using fluorescent-AFLP markers – XIII Eucarpia Symposium on Fruit Breeding and Genetics 976, 265-269 (2013)
  • Deciphering genotype-by-environment interaction in new soybean lines based on multiple traits using different adaptability and stability methods – Food Science and Nutrition (2024)
  • Changing trends of soil properties and canola yield under maize rotation by sulfur treatments – Applied Soil Research 10 (3), 66-77 (2022)
  • Response of Aloysia citriodora L. to treatments of titanium dioxide nanoparticle and salt stress – Environmental Stresses in Crop Sciences 14 (2), 557-567 (2021)
  • Management of sulfur application on some morphological properties and yield of L17 promising canola line – Journal of Crop Breeding 12 (36), 205-215 (2020)

 

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

 

Chikezie Onuora Ene | Plant Breeding | Best Researcher Award

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Dr Chikezie Onuora  Ene |  Plant Breeding |  Best Researcher Award

Lecturer II at  Alex Ekwueme Federal University Ndufu-Alike, Abakaliki, Ebonyi State, Nigeria

 

Dr. Chikezie Onuora Ene is a distinguished academic and researcher in the Department of Crop Science at Alex Ekwueme Federal University Ndufu-Alike (AE-FUNAI). He earned his Ph.D. in Plant Breeding from Jimma University, Ethiopia, in 2023, where he conducted genetic analysis and quantitative trait loci mapping for tomato traits, graduating with a GPA of 3.86/4.00. He also holds an M.Sc. in Plant Breeding and Genetics from the University of Nigeria, Nsukka, achieving a CGPA of 4.91/5.00, and a B.Sc. in Crop Production and Protection from Abia State University, Uturu, with first-class honors.

Profile:

Qualifications and Education:

  1. Ph.D. in Plant Breeding from Jimma University, Ethiopia, with a thesis on genetic analysis and QTL mapping for tomato traits. Graduated with a high GPA of 3.86/4.00.
  2. M.Sc. in Plant Breeding and Genetics from the University of Nigeria, Nsukka, with a focus on variability and heritability in cucumber, and an outstanding CGPA of 4.91/5.00.
  3. B.Sc. in Crop Production and Protection from Abia State University, Uturu, with first-class honors and a CGPA of 4.62/5.00.

Research Interests:

Dr. Ene’s research focuses on improving fruit/grain yield and quality of vegetables and cereals under abiotic stresses using plant molecular breeding techniques. This is a highly relevant and impactful area of research, addressing critical issues in agriculture.

Work Experience:

  1. Lecturer in Crop Science Department at Alex Ekwueme Federal University Ndufu-Alike since 2017, teaching various crop science courses and contributing significantly to the academic community.
  2. Research/Laboratory Assistant at National Root Crops Research Institute (NRCRI), involved in yam breeding, plant protection, and tissue culture.
  3. Field Enumerator/Farm Attendant at the Ministry of Agriculture, Abia State, focusing on cassava farming and processing data collection.
  4. Agricultural Science Teacher during the National Youth Service Corps (NYSC) at Kono Secondary School.

Training and Workshops:

  1. Training on GLMM at Jimma University.
  2. Hands-on training on marker-assisted breeding at BecA-ILRI hub, Nairobi, Kenya.
  3. Training on econometrics for policy analysis using Stata.
  4. Workshop on publishing and grant proposal writing.

Research Contributions and Impact:

Dr. Ene has been involved in significant research contributions across multiple projects and publications, particularly in:

  1. Fruit/Grain Yield Improvement under abiotic stresses.
  2. Plant Molecular Breeding and marker-assisted selection.
  3. Collaboration with international research bodies and institutions

Conclusion:

Given Dr. Ene’s extensive education, research focus, teaching experience, and contributions to the field of crop science, he is well-qualified for the Best Researcher Award. His work addresses crucial agricultural challenges, and his academic and professional achievements highlight his dedication and impact in the field.

Publication Top Notes:

  • Studies of phenotypic and genotypic variation in sixteen cucumber genotypes
    CO Ene, PE Ogbonna, CU Agbo, UP Chukwudi
    Chilean Journal of Agricultural Research, 76(3), 307-313, 2016. (82 citations)
  • Heterosis and combining ability in cucumber (Cucumis sativus L.)
    CO Ene, PE Ogbonna, CU Agbo, UP Chukwudi
    Information Processing in Agriculture, 6(1), 150-157, 2019. (38 citations)
  • Evaluation of Sixteen Cucumber (Cucumis sativus L.) Genotypes in Derived Savannah Environment Using Path Coefficient Analysis
    CO Ene, PE Ogbonna, CU Agbo, UP Chukwudi
    Notulae Scientia Biologicae, 8(1), 85-92, 2016. (35 citations)
  • Correlation and path coefficient analyses of yield and yield components of eggplant (Solanum melongena) in a coarse-textured Ultisol
    VN Onyia, UP Chukwudi, AC Ezea, AI Atugwu, CO Ene
    Information Processing in Agriculture, 7(1), 173-181, 2020. (18 citations)
  • Environmental impact and genetic expressions of new drought-tolerant maize genotypes in derived savannah agro-ecology
    UNI Paul Inyang, Chikezie Onuora Ene, Ankrumah Emmanuel, Uchechukwu P. Chukwudi
    Notulae Scientia Biologicae, 13(1), 10691, 2021. (15 citations)
  • Genetic characterization and quantitative trait relationship using multivariate techniques reveal diversity among tomato germplasms
    CO Ene, WG Abtew, HO Oselebe, FU Ozi, UN Ikeogu
    Food Science & Nutrition, 10(7), 2426-2442, 2022. (7 citations)
  • Benefit Cost Analysis of Orange Flesh Sweet Potato (Ipomoea batatas L.) Varieties under Varying Planting Density
    DA Uzoigwe, CO Muoneke, CC Nwokoro, CO Ene
    Notulae Scientia Biologicae, 11(1), 145-148, 2019. (6 citations)
  • Hybrid Vigor and Heritability Estimates in Tomato Crosses Involving Solanum lycopersicum × S. pimpinellifolium under Cool Tropical Monsoon Climate
    CO Ene, WG Abtew, HO Oselebe, FU Ozi, O Ogah, EC Okechukwu, …
    International Journal of Agronomy, 2023(1), 3003355, 2023. (5 citations)
  • Analysis of Leaf Yield Components in Fluted Pumpkin (Telfairia occidentalis Hook F.) Grown in Derived Savannah Agro-ecology
    UP Chukwudi, CU Agbo, CO Ene, CU Uba, JI Enyi
    Notulae Scientia Biologicae, 9(3), 386-391, 2017. (4 citations)
  • Growth and yield response of selected improved soybean (Glycine max [L.] Merrill) varieties to varying weeding regimes under a tropical condition
    CO Ene, A Anyim, UP Chukwudi, EC Okechukwu, UN Ikeogu
    Journal of Central European Agriculture, 20(1), 157-178, 2019. (3 citations)
  • Evaluation of Tomato Genotypes Growth, Yield, and Shelf Life Enhancement in Nigeria
    VN Onyia, UP Chukwudi, VC Ogwudu, AI Atugwu, SC Eze, CO Ene, …
    Journal of Agricultural Science and Technology, 21(1), 143-152, 2019. (3 citations)
  • Selfing revealed potential for higher yield performance than backcrossing among tomato segregating populations of Solanum lycopersicum × S. pimpinellifolium crosses under …
    CO Ene, WG Abtew, HO Oselebe, UP Chukwudi, EC Okechukwu, FU Ozi, …
    *Journal of Agriculture and Food Research, 15, 100993, 2024. (1 citation)
  • Influence of varying preservation methods on the shelf life and proximate composition of Pleurotus plumonarius (Fr) Quel cultivated on Andropogon gayanus substrate
    CM Ahaiwe, O Nnamdi, CO Ene, UP Chukwudi
    International Journal of Agriculture Environment and Food Sciences, 3(3), 2019. (1 citation)