Muhammad Waqas | Agronomy | Best Scholar Award

Best Scholar Award

Muhammad Waqas
Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
Muhammad Waqas
Affiliation Chinese Academy of Agricultural Sciences
Country China
Scopus ID 59895749800
Documents 2
Citations 14
h-index 2
Subject Area Advances in Crop Science and Agronomy
Event International Food Scientist Awards

Muhammad Waqas is a Pakistani agronomist and emerging researcher currently pursuing doctoral studies in Crop Germplasm Resources Science at the Chinese Academy of Agricultural Sciences (CAAS), Beijing, China. His academic and research activities focus on cotton genomics, climate-resilient crop breeding, transcriptomics, stress physiology, and molecular breeding approaches for improving crop adaptation under abiotic stress conditions. His multidisciplinary contributions integrate agronomy, molecular biology, genomics-enabled breeding, and crop physiology to address global agricultural challenges associated with climate change and food security.[1]

Abstract

Muhammad Waqas has established an emerging academic profile in the fields of agronomy, crop stress physiology, and cotton genomics through interdisciplinary research integrating molecular biology, genomics, and climate-resilient crop improvement strategies. His research primarily addresses the impacts of abiotic stresses, including heat and cold stress, on crop growth, physiology, and genetic adaptation. Through genome-wide association studies (GWAS), transcriptome analyses, RNA sequencing, and physiological experimentation, he has contributed to advancing understanding of stress-responsive mechanisms in cotton and other economically important crops.[2]

His scholarly work includes publications in peer-reviewed journals related to plant science, crop physiology, and agricultural sustainability. In addition to laboratory and field-based research, he has actively participated in international seminars, workshops, and collaborative scientific initiatives focusing on genomics-enabled precision breeding and sustainable agricultural development.[3]

Keywords

Cotton Genomics; Agronomy; Climate-Resilient Breeding; Transcriptomics; GWAS; Abiotic Stress; Plant Physiology; Crop Germplasm; Heat Stress; Cold Stress; RNA-seq; Molecular Breeding; Crop Adaptation; Plant Biotechnology; Stress Tolerance

Introduction

The increasing frequency of climate-related agricultural challenges has intensified the need for innovative crop improvement strategies capable of enhancing stress tolerance and sustaining agricultural productivity. Researchers specializing in crop physiology, genomics, and agronomy play a critical role in developing adaptive solutions for global food security. Muhammad Waqas has contributed to this evolving field through research focused on cotton germplasm evaluation, molecular stress responses, and genomics-assisted breeding methodologies.[4]

His academic development demonstrates a progression from physiological studies on maize, wheat, rice, and sugarcane toward advanced molecular investigations involving transcriptomics and gene mining in upland cotton (Gossypium hirsutum L.). His doctoral research at CAAS further strengthens his specialization in identifying genes associated with boll and seed morphology, stress adaptation, and climate resilience.[5]

Research Profile

Muhammad Waqas currently serves as a Research Assistant at the Chinese Academy of Agricultural Sciences in Beijing, China, where he evaluates cotton germplasm under multiple environmental stress conditions. His work incorporates high-throughput phenotyping, genotype-by-environment interaction analysis, GWAS methodologies, RNA sequencing, and candidate gene validation approaches to support the development of climate-resilient cotton cultivars.

Before joining CAAS, he worked as a University Research Associate at the University of the Punjab, Lahore, Pakistan. During this period, he evaluated Bt and non-Bt cotton varieties for comparative performance under diverse abiotic stresses. These investigations contributed to understanding genotype-specific adaptability and the interactions between genetic modification technologies and environmental stress responses.

His academic training includes an M.Sc. (Hons.) in Agricultural Agronomy from the University of Agriculture Faisalabad with distinction-level academic performance (CGPA 3.89/4.00). His master’s thesis investigated zinc-mediated improvement of maize hybrid performance under heat stress conditions.

Research Contributions

Muhammad Waqas has contributed to several interdisciplinary studies involving crop stress physiology, molecular genetics, and sustainable agricultural management. His research activities include both laboratory-based molecular investigations and field-oriented agronomic trials.

  • Evaluation of cotton germplasm for adaptability under heat and cold stress conditions.
  • Application of GWAS and transcriptomic analyses for identifying stress-responsive genes.
  • Investigation of physiological and biochemical mechanisms associated with crop stress tolerance.
  • Research on nutrient-mediated stress mitigation strategies in maize, rice, and wheat.
  • Studies on climate-smart agriculture and sustainable crop production systems.
  • Integration of molecular breeding and genomics-enabled precision agriculture approaches.

His laboratory expertise includes RNA and DNA extraction, qRT-PCR, gel electrophoresis, cDNA synthesis, VIGS, antioxidant assays, chlorophyll estimation, nutrient analysis, and bioinformatics-supported genomic analyses. Additionally, he demonstrates proficiency in statistical and computational tools including R programming, SAS, SPSS, DSSAT, TASSEL, JMP, IGV, and ArcGIS.

Publications

  • Sun, M., Ghouri, F., Waqas, M., et al. (2026). Applications of Gene-Editing Technologies in Enhancing Crop Stress Resistance with Emphasis on Rice. Plants, 15(10), 1476. Β https://doi.org/10.3390/plants15101476
  • Washu, D., Sultana, F., Li, H., Hu, D., Peng, Z., He, S., Zhang, H., Waqas, M., Geng, X., & Du, X. (2025). Molecular Mechanisms of Cold Stress Response in Cotton. Plant Science.
  • Abro, A.A., et al. (2024). Impact of elevated temperatures on the genetic and morpho-physiological traits of cotton genotypes cultivation. Genetic Resources and Crop Evolution. https://doi.org/10.1007/s10722-024-02126-9
  • Dev, W., et al. (2024). An insight into heat stress response and adaptive mechanism in cotton. Journal of Plant Physiology. https://doi.org/10.1016/j.jplph.2024.154324
  • Sarwar, M., et al. (2022). Strengthening leaf physiological functioning and grain yield formation in heat-stressed wheat through potassium application. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2022.1005773

Research Impact

The research contributions of Muhammad Waqas address contemporary agricultural challenges related to climate variability, crop productivity, and stress adaptation. His investigations into cotton genomics and stress physiology provide scientific insights that may support future development of climate-resilient cultivars suitable for diverse agro-ecological zones.

His publications in recognized journals such as Plants, Plant Science, Journal of Plant Physiology, and Frontiers in Plant Science demonstrate active engagement in internationally relevant agricultural research. Furthermore, his participation in collaborative international workshops and conferences highlights his integration within global scientific research networks.

The combination of molecular biology expertise, physiological experimentation, and computational genomic analysis positions his work within the broader scientific movement toward genomics-assisted precision agriculture and sustainable crop production systems.

Award Suitability

Muhammad Waqas demonstrates several characteristics aligned with the objectives of an Emerging Researcher Award. His research profile reflects strong academic progression, international collaboration, interdisciplinary expertise, and sustained engagement with climate-focused agricultural innovation.

  • Active contribution to cotton genomics and climate-resilient breeding research.
  • Publication record in peer-reviewed international journals.
  • Integration of molecular biology, agronomy, and computational genomics.
  • Participation in international scientific workshops, conferences, and collaborative initiatives.
  • Recognition through multiple scholarships and academic distinctions.

Conclusion

Muhammad Waqas represents an emerging generation of agricultural scientists contributing to sustainable crop improvement through modern molecular and physiological approaches. His work in cotton genomics, transcriptomics, and abiotic stress adaptation demonstrates scientific relevance within the context of climate-smart agriculture and food security research. Through continued international collaboration, advanced genomic research, and multidisciplinary agricultural investigations, his academic trajectory indicates substantial potential for long-term contributions to global agronomic and plant science research.

References

  1. Sun, M., Ghouri, F., Waqas, M., et al. (2026). Applications of Gene-Editing Technologies in Enhancing Crop Stress Resistance with Emphasis on Rice. Plants, 15(10), 1476. Β https://doi.org/10.3390/plants15101476
  2. University of the Punjab. (2024). Workshop and seminar participation records related to cotton genomics and precision breeding.
  3. Abro, A.A., et al. (2024). Impact of elevated temperatures on the genetic and morpho-physiological traits of cotton genotypes cultivation. Genetic Resources and Crop Evolution.
  4. Chinese Academy of Agricultural Sciences. (2025). Doctoral thesis proposal: GWAS and transcriptome analysis in upland cotton.
  5. CAAS Cotton Research Institute. (2025). Research activities in climate-resilient cotton breeding

Ebenezer Olaniyi | Food Quality | Best Researcher Award

Mr. Ebenezer Olaniyi | Food Quality | Best Researcher Award

Research Assistant | University of Georgia | United StatesΒ 

Mr. Ebenezer Olaniyi is a distinguished researcher whose profile spans Food Science and Technology and Electrical/Electronic Engineering, with a core focus on developing intelligent systems for non-destructive quality assessment. His educational background includes advanced degrees in his technical field. His professional experience includes roles as a Lecturer in engineering and his current capacity as a Graduate Research Assistant, contributing to cutting-edge food safety projects. Mr. Olaniyi’s primary research interest lies in applying Artificial Intelligence, Machine Learning, and Computer Vision for solving real-world challenges in the food industry, such as rapid and objective evaluation of meat quality (e.g., white striping and microbial spoilage) and the grading of agricultural products like sweet potatoes and bananas. His specific research skills encompass advanced techniques like Structured Illumination Reflectance Imaging (SIRI), Pattern Recognition, Deep Learning, and Neural Networks for feature extraction and classification. The available information, while comprehensive on his research output, does not list specific formal awards or honors at this time. In conclusion, Mr. Olaniyi is an interdisciplinary scholar positioned to make transformative contributions to the efficiency and safety of global food production through his innovative application of machine vision systems.

Profile:Β Google scholar | ORCID

Featured Publications:

Lu, Y., Chen, D., Olaniyi, E. O., & Huang, Y. (2022). Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review. Computers and Electronics in Agriculture, 200, 107208. (Citations: 344)

Olaniyi, E. O., Oyedotun, O. K., & Adnan, K. (2015). Heart diseases diagnosis using neural networks arbitration. International Journal of Intelligent Systems and Applications, 7(12), 72. (Citations: 230)

Olaniyi, E. O., Khashman, A. (2014). Onset diabetes diagnosis using artificial neural network. International Journal of Scientific and Engineering Research, 5(10), 754-759. (Citations: 90)

Olaniyi, E. O., Adekunle, A. A., Odekuoye, T., & Khashman, A. (2017). Automatic system for grading banana using GLCM texture feature extraction and neural network arbitrations. Journal of Food Process Engineering, 40(6), e12575. (Citations: 60)

Olaniyi, E. O., Oyedotun, O. K., & Khashman, A. (2017). Intelligent grading system for banana fruit using neural network arbitration. Journal of Food Process Engineering, 40(1), e12335. (Citations: 59)

Ozerdem, O. C., Olaniyi, E. O., & Oyedotun, O. K. (2017). Short term load forecasting using particle swarm optimization neural network. Procedia Computer Science, 120, 382-393. (Citations: 53)

Mohammad Hassan Sayyari Zahan | plant nutrition | Best Researcher Award

Assoc. Prof. Dr. Mohammad Hassan Sayyari Zahan | plant nutrition | Best Researcher Award

member of faculty at university of Birjand, Iran

Dr. Mohammad Hassan Sayyari Zahan is an esteemed Iranian soil scientist specializing in soil fertility, plant nutrition, and saline-alkaline soil management. With extensive research in micronutrients, biofertilizers, and soil chemistry, he has significantly contributed to the field of agronomy. His work has been published in numerous international conferences and journals, focusing on soil amendment strategies and nutrient efficiency.

Publications Profile

Scopus

Orcid

Google Scholar

πŸŽ“ Education Details

  • Ph.D. in Soil Science Engineering – Georg-August University (Goettingen University), Germany (2005-2008)

  • M.Sc. in Soil Science Engineering – University of Tarbiat Modares, Tehran, Iran (1992-1996)

  • B.Sc. in Soil Science Engineering – University of Tehran, Tehran, Iran (1987-1991)

  • Diploma in Science – Mustafa Khomeini High School, Mashhad, Iran (1983-1987)

πŸ‘©β€πŸ”¬ Professional Experience

  • Dean, Faculty of Agriculture, University of Birjand (2014 – Present)

  • Associate Dean for Academic Affairs, Faculty of Agriculture, University of Birjand (2012 – 2014)

  • Manager of Free Education and International Students, University of Birjand (2009 – 2011)

  • Head of Department, Agronomy, Faculty of Agriculture, University of Birjand (2000 – 2002)

🌱 Research Interests

  • Soil fertility and plant nutrition

  • Soil chemistry and nutrient uptake kinetics

  • Management of saline and alkaline soils

  • Biofertilizers and micronutrients (Mn, Fe, Zn)

  • Phosphorus availability and soil amendments

πŸ† Awards and Honors

  • 1993: Awarded a scholarship by the Iranian Ministry of Science, Research, and Technology for M.Sc. studies

  • 2003: Awarded a scholarship by the Iranian Ministry of Science, Research, and Technology for Ph.D. studies

πŸ” Conclusion

Dr. Mohammad Hassan Sayyari Zahan has played a pivotal role in soil science research, particularly in addressing soil salinity, nutrient efficiency, and sustainable soil management. With a strong academic background, leadership roles, and numerous contributions to scientific literature, his work continues to impact soil fertility and agricultural practices globally.

Publications πŸ“š

πŸ“„ Short-term changes of soil physicochemical properties affected by organic modifier type and its application method
πŸ“• Archives of Agronomy and Soil Science (2023)
πŸ”— DOI: 10.1080/03650340.2023.2194639
✍️ Authors: Vahidi, M.J.; Sayyari Zahan, M.H.; Bayat, H.; Parsa, Z.


🌱 A Survey of Soil Carbon Stocks and Effective Soil Properties in Almond Orchards of Borujerd, West of Iran
πŸ“˜ Journal of Soil Science and Plant Nutrition (2022)
πŸ”— DOI: 10.1007/s42729-021-00694-8
✍️ Authors: Jami Al-Ahmadi, M.; Byranvand, P.; Mahdavi Damghani, A.; Sayyari Zahan, M.H.


🌸 Influence of some pre and post-harvest practices on quality of saffron stigmata
πŸ“— Scientia Horticulturae (2021)
πŸ”— DOI: 10.1016/j.scienta.2020.109846
✍️ Authors: Fallahi, H.-R.; Aghhavani-Shajari, M.; Sahabi, H.; Behdani, M.A.; Sayyari-Zohan, M.H.; Vatandoost, S.


🍏 Effects of NaCl salinity on some leaf nutrient concentrations, non-photochemical quenching and the efficiency of the PSII photochemistry of two Iranian pomegranate varieties under greenhouse and field conditions: Preliminary results
πŸ“™ Journal of Plant Nutrition (2016)
πŸ”— DOI: 10.1080/01904167.2016.1201686
✍️ Authors: Khayyat, M.; Tehranifar, A.; Davarynejad, G.H.; Sayyari-Zahan, M.H.


🌳 Vegetative growth, compatible solute accumulation, ion partitioning and chlorophyll fluorescence of ‘Malas-e-Saveh’ and ‘Shishe-Kab’ pomegranates in response to salinity stress
πŸ“” Photosynthetica (2014)
πŸ”— DOI: 10.1007/s11099-014-0034-9
✍️ Authors: Khayyat, M.; Tehranifar, A.; Davarynejad, G.H.; Sayyari-Zahan, M.H.


πŸ—Ί Soil classification and genesis in part of Khorasan province
πŸ“– Developments in Soil Classification, Land Use Planning and Policy Implications (2013) – Book Chapter
πŸ”— DOI: 10.1007/978-94-007-5332-7_22
✍️ Authors: Hassan Sayyari-Zahan, M.


🌻 Effect of drought stress and zinc sulfate on the yield and some physiological characteristics of sunflower (Helianthus. Annuus L.)
πŸ“™ Advances in Environmental Biology (2012)
✍️ Authors: Shahri, Z.B.; Zamani, G.R.; Sayyari-Zahan, M.H.


🌾 Interaction effect of saline irrigation water, mycorrhiza fungi, and phosphorus fertilizer on yield and yield components of common bean (Phaseolus vulgaris L.)
πŸ“˜ Advances in Environmental Biology (2011)
✍️ Authors: Motlagh, B.P.; Mahmoodi, S.; Hassan Sayyari-Zahan, M.; Naghizadeh, M.


πŸ₯¦ Manganese efficiency and manganese-uptake kinetics of raya (Brassica juncea), wheat (Triticum aestivum), and oat (Avena sativa) grown in nutrient solution and soil
πŸ“• Journal of Plant Nutrition and Soil Science (2009)
πŸ”— DOI: 10.1002/jpln.200800149
✍️ Authors: Sayyari-Zahan, M.H.; Sadana, U.S.; Steingrobe, B.; Claassen, N.