Gurleen Sidhu | Plant Breeding and Genetics | Women Researcher Award

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Dr. Gurleen Sidhu | Plant Breeding and Genetics | Women Researcher Award

Post doctoral fellow at University of Manitoba, Canada

Gurleen Sidhu is a dedicated plant scientist with extensive expertise in plant breeding, genetics, and molecular biology. With a strong academic foundation and over a decade of research experience, she has contributed significantly to crop improvement efforts in both India and Canada. Her work focuses on genetic diversity, genome-wide association studies, and the development of molecular tools for breeding programs, particularly in asparagus and wheat. Gurleen has presented her research at numerous international conferences and has published widely in peer-reviewed journals. She has also received multiple academic awards and scholarships in recognition of her scientific excellence. As a postdoctoral fellow, she leads research projects, mentors students, and collaborates with industry and academic stakeholders. Her technical proficiency, leadership skills, and commitment to advancing sustainable agriculture position her as a promising researcher with the potential to make a lasting impact in the field of agricultural science and biotechnology.

Professional Profile 

Google Scholar

Education

Gurleen Sidhu holds a strong academic background in agricultural sciences, beginning with a Bachelor of Science in Agriculture (Honors) from Punjab Agricultural University, where she developed a foundational understanding of agronomy and crop science. She went on to complete her Master of Science in Plant Breeding, Genetics, and Biotechnology at the same university, focusing on genetic diversity studies in bitter gourd using morphological and molecular markers. She later pursued a PhD in Plant Breeding and Genetics at the University of Guelph, Canada, where her doctoral research concentrated on the genetic architecture of traits critical to asparagus breeding. Her educational journey reflects a consistent commitment to the field of plant genetics, complemented by a postgraduate diploma in computer applications, which supports her data analysis skills. This blend of hands-on research, advanced study, and technical training provides a solid foundation for her career as a plant scientist with international research experience and impact.

Experience

Gurleen Sidhu has accumulated diverse and valuable research experience in both academic and applied agricultural settings. She began her research journey at Punjab Agricultural University, where she worked on genetic diversity analysis in bitter gourd. At the University of Guelph, she conducted advanced molecular breeding studies during her PhD, focusing on asparagus genetics, including trait mapping and linkage analysis. Currently a postdoctoral fellow at the University of Manitoba, her work involves genome-wide association studies, molecular breeding, and supervision of graduate students. She has successfully led multiple research projects and contributed to industry-relevant genetic improvement programs, particularly in Western Canadian agriculture. Her ability to manage and deliver complex research, alongside her experience in program development, funding management, and stakeholder collaboration, showcases her leadership in agricultural research. Her hands-on involvement in both fieldwork and laboratory work highlights her comprehensive skill set across the entire research lifecycle—from experimentation and data analysis to mentoring and dissemination.

Research Focus

Gurleen Sidhu’s research is centered on plant breeding, molecular genetics, and crop improvement, with an emphasis on developing sustainable solutions for modern agriculture. Her work focuses on understanding the genetic basis of key agronomic traits in crops such as asparagus, wheat, and bitter gourd. She has employed tools like genome-wide association studies (GWAS), SNP-based linkage mapping, and genotyping-by-sequencing to identify genes and markers linked to traits such as spear quality, andromonoecy, lodging resistance, and tissue culture responsiveness. Her research aims to enhance crop yield, quality, and adaptability through the integration of molecular tools into breeding programs. She also explores genetic diversity to inform breeding strategies and germplasm enhancement. Through interdisciplinary collaborations and field-based experimentation, Gurleen connects molecular insights to real-world crop production challenges. Her work supports the long-term goals of food security, genetic resource utilization, and climate-resilient agriculture, especially in the context of Canadian and global agronomic systems.

Award and Honor

Gurleen Sidhu has received numerous awards and honors that reflect her academic excellence, research potential, and scientific contributions. During her academic journey, she was the recipient of multiple Dean’s Scholarships throughout her PhD at the University of Guelph. She earned the prestigious Seed of the Year Scholarship, as well as the Major General LaFleche Memorial and Mrs. Fred Ball Scholarships for outstanding performance. Internationally, she was recognized with a Best Poster Presentation Award at the International Society of Horticultural Science Conference in Germany and secured a competitive travel grant for the Plant Science Symposium at the University of Minnesota. In India, she was awarded the B.R. Sharma Gold Medal for achieving the highest academic standing during her master’s program and received university merit scholarships and certificates throughout her undergraduate and postgraduate studies. These accolades collectively underscore her dedication to scientific innovation, leadership in research, and consistent academic distinction across institutions and countries.

Publications Top Notes

  • Title: Genetic diversity analysis in bitter gourd (Momordica charantia L.) using morphological traits
    Authors: GK Sidhu, M Pathak
    Year: 2016
    Citations: 14

  • Title: Character association and path co-efficient analysis in bitter gourd (Momordica charantia L.)
    Authors: GK Sidhu, M Pathak
    Year: 2016
    Citations: 2

  • Title: Genetic Diversity Analysis of Bitter Gourd (Momordica Charantia L.) Germplasm Based on RAPD and SSR Markers
    Authors: GK Sidhu, M Pathak
    Year: 2020
    Citations: 1

  • Title: Evaluation of bitter gourd (Momordica charantia L.) genotypes for quality traits
    Authors: GK Sidhu, M Pathak, N Chawla
    Year: 2017
    Citations: 1

  • Title: EVALUATION AND ASSESSMENT OF GENETIC DIVERSITY AMONG BITTER GOURD [Momordica charantia L. Moench] GERMPLASM
    Authors: GK Sidhu
    Year: 2013
    Citations: 1

  • Title: Genetic diversity and population structure analysis in Asparagus officinalis
    Authors: G Sidhu, T Banks, D Wolyn
    Year: 2025

  • Title: Genetic variability for growth, yield and quality traits in bitter gourd
    Authors: GK Sidhu, M Pathak, N Chawla
    Year: 2017

Conclusion

Gurleen Sidhu has demonstrated a strong commitment to scientific research in plant genetics, with a specific focus on crop improvement and genetic diversity. Her publications reflect consistent scholarly output in the field, particularly in bitter gourd and asparagus genetics. The citation record shows that some of her work has gained recognition within the academic community, with a few studies receiving multiple citations. While several of her publications are more recent or in emerging areas, suggesting ongoing impact, there is clear evidence of her potential to contribute meaningfully to agricultural science. With continued focus on high-impact publishing and broader scientific dissemination, her research visibility and influence are likely to grow further. Overall, she presents a promising profile of an early-career researcher with the foundations for long-term contributions to plant breeding and genetic innovation.

Dr. Mir Asif Iquebal | Bioinformatics and Computational Biology | Best Researcher Award

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Dr. Mir Asif Iquebal | Bioinformatics and Computational Biology | Best Researcher Award

Dr. Mir Asif Iquebal, ICAR-Indian Agricultural Statistics Research Institute, India

Dr. Mir Asif Iquebal is a distinguished academician with a Ph.D. in Agricultural Statistics earned in 2008 from ICAR-Indian Agricultural Research Institute, New Delhi, India 🎓. His doctoral expertise lies in advanced statistical methods, showcased in his thesis, “A Study on Some Nonlinear Time-series Models in Agriculture.” Prior, he excelled, securing the first rank in M.Sc. Agricultural Statistics in 2004, focusing on “Estimation of Heritability of Threshold Characters Using Auxiliary Traits.” Dr. Iquebal’s commitment to excellence in agricultural statistics is evident throughout his educational journey. With over sixteen years of extensive experience, he currently serves as a Senior Scientist at the Division of Agricultural Bioinformatics, ICAR-IASRI, contributing significantly to Computational Biology and Statistical modeling 🌐. His diverse professional background includes roles at ICAR-Indian Institute of Pulses Research, Kanpur, and ICAR-National Academy of Agricultural Research Management, Hyderabad. In teaching, spanning twelve years, he imparts knowledge to M.Sc. and Ph.D. students, covering a range of courses from Introduction to Bioinformatics to Computational Genomics 📚. Dr. Iquebal’s research interests at the forefront of Computational Biology and Agricultural Bioinformatics involve Genomics, Genome Assembly, and RNA-seq Data Analysis. His innovative spirit extends to the application of Machine Learning techniques and the development of web-based tools, reflecting his dedication to advancing research accessibility in genomics and computational biology 🧬.

🎓 Education :

Dr. Mir Asif Iquebal is an accomplished academician with a Ph.D. in Agricultural Statistics earned in 2008 from ICAR-Indian Agricultural Research Institute, New Delhi, India 🎓. His doctoral thesis, “A Study on Some Nonlinear Time-series Models in Agriculture,” reflects his expertise in advanced statistical methods. Prior, he secured the first rank in M.Sc. Agricultural Statistics in 2004 from the same institute, with a thesis on “Estimation of Heritability of Threshold Characters Using Auxiliary Traits.” Dr. Iquebal’s educational journey showcases his commitment to excellence in the field of agricultural statistics 🌾

🌐 Professional Profiles :

Scopus

Google Scholar

Orcid

🔄 Experiences :

With over sixteen years of extensive experience, Dr. Mir Asif Iquebal is currently serving as a Senior Scientist at the Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute (IASRI), New Delhi 🌾. He has been contributing significantly since joining on April 11, 2011, engaging in impactful research in Computational Biology and Statistical modeling. His responsibilities encompass research, teaching, and training in the fields of Agricultural Bioinformatics, Computational Biology, and Agricultural Statistics. Prior to his current role, Dr. Iquebal worked at ICAR-Indian Institute of Pulses Research, Kanpur, and commenced his career as a Scientist at ICAR-National Academy of Agricultural Research Management, Hyderabad, in January 2008 🚀. His diverse experience underscores his expertise and commitment to advancing agricultural research and bioinformatics.

🔍 Teaching :

Dr. Mir Asif Iquebal brings a wealth of teaching experience, spanning twelve years from 2011 to the present, imparting knowledge to M. Sc. and Ph. D. students at the PG School, ICAR-Indian Agricultural Research Institute, New Delhi 🎓. His diverse range of courses reflects his expertise, including foundational subjects such as Introduction to Bioinformatics and Statistical Methods for Applied Sciences, as well as specialized topics like Computational Genomics and Machine Learning Techniques in Bioinformatics. Dr. Iquebal’s commitment to education is evident in the breadth of subjects he covers, contributing significantly to the academic growth of students in the field of agricultural bioinformatics and computational biology 🌱.

🌐 Research Interests  :

Dr. Mir Asif Iquebal’s research interests lie at the intersection of cutting-edge fields, focusing on Computational Biology and Agricultural Bioinformatics 🧬. His expertise encompasses Genomics, Genome Assembly, and RNA-seq Data Analysis, where he employs advanced techniques to unravel the complexities of biological data. Driven by innovation, he delves into the application of Machine Learning techniques for insightful data interpretation. Additionally, he contributes to the development of web-based tools and genomic resources, reflecting his commitment to advancing research accessibility and technological solutions in genomics 🌐.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 142 documents indexed in Scopus.
  • 📊 Citations: A total of 954 citations for his publications, reflecting the widespread impact and recognition of Dr. Mir Asif Iquebal’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 1657 📖
    • h-index: 21  📊
    • i10-index: 57 🔍
  • Since 2018:
    • Citations: 1304 📖
    • h-index: 17 📊
    • i10-index: 43 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes  :

1.  RNAseq analysis reveals drought-responsive molecular pathways with candidate genes and putative molecular markers in root tissue of wheat

Journal: Scientific Reports, 9(1), 13917

Published Year: 2019

Cited By: 65

2.  Origin, diversity and genome sequence of mango (Mangifera indica L.)

Journal: Not Available

Published Year: 2016

Cited By: 65

3.  Uncovering genomic regions associated with 36 agro-morphological traits in Indian spring wheat using GWAS

Journal: Frontiers in Plant Science, 10, 527

Published Year: 2019

Cited By: 59

4.  Genetic variability for chickpea (Cicer arietinum L.) under late-sown season

Journal: Legume Research – An International Journal, 35(1), 1-7

Published Year: 2012

Cited By: 55

5.  Transcriptomic signature of drought response in pearl millet (Pennisetum glaucum (L.) and development of web-genomic resources

Journal: Scientific Reports, 8(1), 3382

Published Year: 2018

Cited By: 51