Johnpaul M | Agriculture | Best Researcher Award

Posted on by sciencefather

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:

 

Malavika Dadlani | Seed Physiology | Best Researcher Award

Posted on by sciencefather

Dr. Malavika Dadlani | Seed Physiology | Best Researcher Award

National consultant at Alliance of Bioversity and CIAT, Bengaluru,  India

Dr. (Mrs.) Malavika Dadlani is a distinguished expert in [mention her field of expertise, e.g., Seed Science & Technology, Agricultural Research, etc.]. With a remarkable career spanning several decades, she has contributed significantly to [key areas of contribution]. She has held prestigious positions at [institutions/organizations], leading groundbreaking research and policy initiatives.

Profile:

Academic Qualifications 🎓

  • Ph.D. (Agricultural Seed Science) – Calcutta University, 1979

  • Post-Doctoral Research (Seed Technology) – International Rice Research Institute (IRRI), Philippines, 1987-1989

Professional Experience 👩‍🔬

With over four decades of expertise in agricultural research, education, and extension, Dr. Dadlani has held key leadership positions in India’s premier agricultural institutions:

🔹 Consultant & Honorary Research Fellow – Bioversity International, New Delhi (2014-2016)
🔹 Joint Director (Research) – ICAR-Indian Agricultural Research Institute (IARI), New Delhi (2010-2013)
🔹 Head, Division of Seed Science & Technology – ICAR-IARI, New Delhi (2006-2010)
🔹 Principal Scientist & Senior Scientist – ICAR-IARI, New Delhi (1979-2006)
🔹 Scientist – Indian Institute of Sugarcane Research, Lucknow (1978-1979)

Her work focused on institution building, research management, extension coordination, and capacity development in seed science.

Global Contributions 🌍

Dr. Dadlani has played a pivotal role in international seed policy and capacity building. Some key global engagements include:

🌱 FAO Expert Consultation (2003) – Contributed to the Quality Declared Seed System publication.
🌍 SAARC Seed Forum (2009) – Organized the first workshop on Quality Seed Systems and contributed to forming the SAARC Regional Seed Bank.
🌾 FAO Consultancy in Bangladesh, Myanmar & Cambodia – Strengthened seed systems and hybrid rice development.
📜 SeedNL Consultant (Netherlands, 2023-24) – Conducted a fact-finding study on the Indian seed system.
🤝 Indo-German Seed Sector Development Consultant (2018-2022) – Studied and advised on harmonization of Indian seed regulations with international standards.

Awards & Recognitions 🏆

Dr. Dadlani has been honored with several prestigious awards for her contributions:

🏅 Best Research Paper in Seed Research – ISST, India (1984, 1990)
🌾 Best Research Paper in Agriculture – Philippines (1989)
🎓 Best Teacher Award – IARI, India (2001)
🏅 Dr. Ram Dhan Singh Memorial “Best Seed Technologist” Award (2006-07)
👩‍🔬 Fellow, National Academy of Agricultural Sciences (NAAS) (2010)
🏆 Excellence Award for Supporting Seed Industry in India – ITPBR, India (2022)

Key Contributions & Innovations 💡

✅ Farmers’ Participatory Seed Production – Initiated “Beej India”, a farmer-led seed production initiative.
✅ SAARC Seed Policy Development – Drafted the SAARC Regional Seed Bank & Material Transfer Framework.
✅ Capacity Building & Training – Led numerous FAO, SAARC, and AARDO training programs to strengthen seed systems.
✅ Women Empowerment in Agriculture – Advocated for women-friendly agricultural technologies in global forums.

A Legacy in Seed Science & Agricultural Development 🌾

Dr. Malavika Dadlani’s work has shaped India’s seed industry, global seed policies, and farmer-centric innovations. Her extensive research, leadership, and global collaborations continue to make a lasting impact on sustainable agriculture and food security.

Citations:

  • Total Citations: 2,511

  • Citations Since 2020: 933

  • h-index: 23 (13 since 2020)

  • i10-index: 53 (20 since 2020)

Publication Top Notes:

  1. The subcellular basis of seed priming

    • A. Varier, A.K. Vari, M. Dadlani

    • Current Science, 2010, 450-456 (Citations: 510)

  2. Techniques in Seed Science and Technology

    • P.K. Agrawal, M. Dadlani, P.K. Agrawal

    • South Asian Publishers, 1987 (Citations: 228)

  3. Effect of hydropriming on field emergence and crop growth of maize genotypes

    • R.P. Nagar, M. Dadlani, S.P. Sharma

    • 1998 (Citations: 96)

  4. Tetrazolium test for seed viability and vigour

    • V.N. Patil, M. Dadlani

    • Handbook of Seed Testing, 2009, 209-241 (Citations: 86)

  5. Seed coating to improve stand establishment in rice

    • M. Dadlani, V.V. Shenoy, D.V. Seshu

    • 1992 (Citations: 69)

  6. Mechanism of seed dormancy in rice

    • D.V. Seshu, M. Dadlani

    • Seed Science Research 1(3), 187-194, 1991 (Citations: 68)

  7. Seed dormancy and regulation of germination

    • P.C. Nautiyal, K. Sivasubramaniam, M. Dadlani

    • Seed Science and Technology 52, 39-66, 2023 (Citations: 63)

  8. Crop residues management with conservation agriculture: Potential, constraints, and policy needs

    • H.S. Gupta, M. Dadlani

    • Indian Agricultural Research Institute, New Delhi, 2012 (Citations: 62)

  9. Effect of packaging on vigour and viability of soybean [Glycine max (L.) Merrill] seed during ambient storage

    • K.K. Singh, M. Dadlani

    • 2003 (Citations: 53)

  10. Characterization and evaluation of variability in farmers’ varieties of rice from West Bengal

  • S.K. Chakrabarty, M.A. Joshi, Y. Singh, A. Maity, V. Vashisht, M. Dadlani

  • Indian Journal of Genetics and Plant Breeding 72(2), 136, 2012 (Citations: 48)

 

Gizaw Tilahun | Plant Breeding | Best Researcher Award

Posted on by sciencefather

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

Zhizhou Ren | Agricultural Products | Best Researcher Award

Posted on by sciencefather

Mr Zhizhou Ren | Agricultural Products |  Best Researcher Award

postgraduate at College of Artificial Intelligence, Nanjing Agricultural University, China

Zhizhou Ren is a postgraduate researcher specializing in smart agriculture and non-destructive detection of agricultural products. His work focuses on integrating hyperspectral imaging, electronic noses, and deep learning for efficient wheat disease detection. He has published two SCI papers in high-impact journals and developed the GFNN model, achieving 98.76% accuracy in disease identification. Ren has contributed to four major collaborative projects and holds one patent. As a member of the China Electronics Society, he actively engages in research that enhances precision agriculture and food security.

Profile:

🔬 Research Focus:

Zhizhou Ren specializes in smart agriculture and non-destructive detection of agricultural products. His research integrates hyperspectral imaging, electronic noses, and deep learning algorithms to detect wheat diseases efficiently.

📚 Key Contributions:

  • Developed the GFNN model for detecting VOCs using an electronic nose, achieving 98.76% accuracy in wheat disease detection.
  • Published two SCI papers in Q1 and Q2 journals, including Agriculture-Basel and International Journal of Agricultural and Biological Engineering.
  • Holds one patent and has contributed to four major collaborative projects funded by Jiangsu Province.

🏆 Achievements & Collaborations:

  • Active member of the China Electronics Society.
  • Engaged in consultancy and industry projects, contributing to agricultural disease management and food security.
  • Participated in prestigious research programs, including the Natural Science Foundation of Jiangsu Province.

Citations:

Citations: 948 (All), 947 (Since 2020)
h-index: 11 (All), 11 (Since 2020)
i10-index: 11 (All), 11 (Since 2020)

Publication Top Notes:

  • QPLEX: Duplex Dueling Multi-Agent Q-Learning
    J. Wang, Z. Ren, T. Liu, Y. Yu, C. Zhang
    Ninth International Conference on Learning Representations (ICLR 2021) – 550 citations

  • Exploration via Hindsight Goal Generation
    Z. Ren, K. Dong, Y. Zhou, Q. Liu, J. Peng
    Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019) – 99 citations

  • Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization
    J. Wang, Z. Ren, B. Han, J. Ye, C. Zhang
    Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) – 61 citations

  • Proximal Exploration for Model-guided Protein Sequence Design
    Z. Ren, J. Li, F. Ding, Y. Zhou, J. Ma, J. Peng
    Thirty-ninth International Conference on Machine Learning (ICML 2022) – 47 citations

  • Generalizable Episodic Memory for Deep Reinforcement Learning
    H. Hu, J. Ye, G. Zhu, Z. Ren, C. Zhang
    Thirty-eighth International Conference on Machine Learning (ICML 2021) – 43 citations

  • Off-Policy Reinforcement Learning with Delayed Rewards
    B. Han, Z. Ren, Z. Wu, Y. Zhou, J. Peng
    Thirty-ninth International Conference on Machine Learning (ICML 2022) – 41 citations

  • Learning Long-Term Reward Redistribution via Randomized Return Decomposition
    Z. Ren, R. Guo, Y. Zhou, J. Peng
    Tenth International Conference on Learning Representations (ICLR 2022 Spotlight) – 39 citations

  • On the Estimation Bias in Double Q-Learning
    Z. Ren, G. Zhu, H. Hu, B. Han, J. Chen, C. Zhang
    Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) – 24 citations

  • Self-Organized Polynomial-Time Coordination Graphs
    Q. Yang, W. Dong, Z. Ren, J. Wang, T. Wang, C. Zhang
    Thirty-ninth International Conference on Machine Learning (ICML 2022) – 13 citations

  • Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
    Z. Ren, A. Liu, Y. Liang, J. Peng, J. Ma
    Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022) – 12 citations

  • Object-Oriented Dynamics Learning through Multi-Level Abstraction
    G. Zhu, J. Wang, Z. Ren, Z. Lin, C. Zhang
    Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI 2020) – 11 citations

  • Full-Atom Peptide Design based on Multi-modal Flow Matching
    J. Li, C. Cheng, Z. Wu, R. Guo, S. Luo, Z. Ren, J. Peng, J. Ma
    Forty-first International Conference on Machine Learning (ICML 2024) – 7 citations

  • Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
    R. Guo, R. Wang, R. Wu, Z. Ren, J. Li, S. Luo, Z. Wu, Q. Liu, J. Peng, J. Ma
    Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS 2024) – 1 citation

  • Bridging Distribution Gaps: Invariant Pattern Discovery for Dynamic Graph Learning
    Y. Jin, M. Wang, Y. Xiong, Z. Ren, C. Huo, F. Zhu, J. Zhang, G. Wang, H. Chen
    World Wide Web 27 (4), 44 (2024)

 

Run Gao | Forage silage | Best Researcher Award

Posted on by sciencefather

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.

 

Matheus Massariol Suela | Crop Science | Best Researcher Award

Posted on by sciencefather

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

 

Donald Manigat | Crop | Best Researcher Award

Posted on by sciencefather

Dr Donald Manigat |  Crop |  Best Researcher Award

Pesquisador at  Universidade Federal do Amapá – UNIFAP, Brazil

Dr. Donald Manigat holds a PhD in Entomology and a Bachelor’s degree in Agronomy. As a dedicated scientific researcher, his expertise spans insect bioecology, biological control, and plant resistance against arthropod pests. He specializes in Integrated Pest Management (IPM) and Plant-Insect interactions. His ongoing research includes bioactive natural insecticides for Spodoptera frugiperda and past projects on detoxification in Plutella xylostella. Dr. Manigat collaborates with prominent institutions such as Embrapa and has published in journals like MDPI. His work contributes significantly to sustainable agricultural practices through ecological pest management.

Publication profile:

🎓 Academic and Professional Background:

Dr. Donald Manigat holds a Bachelor’s degree in Agronomy and a PhD in Entomology. He is a dedicated researcher with expertise in insect bioecology, biological control, resistant plants against arthropod pests, and plant-insect interaction. His work focuses on Integrated Pest Management (IPM) strategies to promote sustainable agriculture.

🔬 Research and Innovations:

  • 🐛 Ongoing: Identification and characterization of bioactive compounds in Spodoptera frugiperda (Lepidoptera: Noctuidae).
  • 🦋 Completed: Research on the detoxification and immunity in Plutella xylostella.
  • 🌱 Completed: Ecological pest control using essential oil-based formulations and resistance management.

🏆 Contributions and Impact:

Dr. Manigat has made significant contributions to entomology, particularly in biological control and pest resistance management. His innovative research on natural insecticides and plant-insect interactions is vital to promoting sustainable agricultural practices. He collaborates with notable institutions such as Embrapa and CENTELHA-MCTI and has published in leading journals like MDPI.

🧪 Collaborations and Memberships:

Dr. Manigat collaborates with Revista Pesquisa Agropecuária Brasileira and Embrapa. He is also actively involved in scientific and industry projects related to vector control, water quality, and waste management.

Publication Top Notes:

  • Associational Resistance Using Wild and Commercial Tomato Genotypes Employed in the Management of Tomato Virus Vectors
    Agriculture, 2024-01-04 | Journal article
    DOI: 10.3390/agriculture14010098
    ISSN: 2077-0472
    Contributors: Donald Manigat, Karolayne Campos, Joyce S. dos Santos, Catiane Oliveira Souza, Jorge Braz Torres, Fabio Suinaga, Cristina S. Bastos
  • Post Marked Field Monitoring and Evolution of Occurrence of Spodoptera frugiperda (Smith) (Lepidoptera: Noctuidae) in Bt Maize in Brazil
    13th International Symposium on the Biosafety of Genetically Modified Organisms (ISBGMO13), 2014-11-09 | Conference paper
    AGR: Knowledge Center Biotech Updates, March 19, 2014 Issue
    Contributors: Donald Manigat