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Call for papers - Bioinformatics in agriculture

Guest Editors

Ratna Prabha, PhD, Agricultural Knowledge Management Unit, ICAR-Indian Agricultural Research Institute, India
Anil Rai, PhD , Master in Computer Applications, Indian Council of Agricultural Research, India

Submission Status: Open   |   Submission Deadline: 14 June 2025


BMC Bioinformatics is welcoming submissions to our Collection focused on Bioinformatics in agriculture. 

This Collection aims to showcase innovative research in agricultural bioinformatics and welcomes submissions on novel computational and statistical approaches in the field of agriculture.


New Content ItemThis Collection supports and amplifies research related to SDG 2: Zero hunger

Meet the Guest Editors

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Ratna Prabha, PhD, Agricultural Knowledge Management Unit, ICAR-Indian Agricultural Research Institute, India

Dr Ratna Prabha is Scientist (bioinformatics) at Agricultural Knowledge Management Unit (AKMU, ICAR-Indian Agricultural Research Institute (IARI), India. She is actively working in the different areas of bioinformatics and computational biology including metabolomics, metagenomics, genomics, transcriptomics and plant-microbe interactions. She has publications in different reputed journals with high citations. She is involved in different projects in the area of agricultural bioinformatics. Apart from many other awards, she is also recipient of prestigious NAAS young Scientist award-2023 of National Academy of Agricultural Sciences (NAAS), India. 

Anil Rai, PhD , Master in Computer Applications, Indian Council of Agricultural Research, India

Dr Anil Rai is the Assistant Director General –Information and Communication Technology, Indian Council of Agricultural Research, Department of Agricultural Research and Education, Ministry of Agriculture, Govt. of India New Delhi. His major area of interest is precision agriculture, development of spatial and non-spatial models, methodologies, procedures and tools for analysis of statistical, biological, omics and image data. Apart from this he has been involved in design and development of efficient computational and informatics solutions for management and analysis large statistical, biological and omics data sets using AI/ML/DL. He was involved in more than 45 research projects and coordinated three major national network programs in the country. Published more than 300 research papers in international and national peer reviewed high impact factor journals in the field of statistics, geo-informatics, economics, data warehousing and data mining, bioinformatics, soft computing, biotechnology and relevant fields of agricultural and allied sciences (Total International Impact Factor of Journals: more than 600; h-Index – 30; i10 Index – 100) . Dr Rai has been consultant to many national and international organizations including FAO, AARDO, CSO and NRAA. He has more than 35 years of experience of teaching, training and capacity building. He has guided 21 students as research guide and has received 19 national awards/recognitions such as Best Teacher Award of National Agricultural Higher Education, Jawahar Lal Nehru National Award etc. He is fellow of National Academy of Agricultural Sciences and more than 8 other scientific academies.




 


About the Collection

BMC Bioinformatics is welcoming submissions to our Collection focused on Bioinformatics in agriculture. Bioinformatics is gaining an increasingly prominent role in the field of agriculture and plays a crucial role in precision farming and sustainable agriculture practices. Agri-informatics integrates bioinformatics tools and computational methods to analyze agricultural data, ranging from plant genome mapping to agricultural big data analytics. By leveraging advanced bioinformatics techniques, researchers can enhance crop productivity, mitigate crop diseases, and optimize resource management in agriculture.

This Collection aims to showcase innovative research in agricultural bioinformatics and welcomes submissions on novel computational and statistical approaches in the field of agriculture.

Potential topics include, but are not limited to, computational and statistical approaches for:

  • Crop genome mapping and annotation
  • Analysis and interpretation of agricultural big data
  • Genetic variants associated with crop stress tolerance
  • Agri-informatics platforms for precision farming, crop monitoring, and yield prediction
  • Analysis of pathogen-plant interactions and development of disease-resistant crops
  • Computational modeling and simulation of crop growth
  • Machine learning and artificial intelligence techniques in plant breeding analytics and crop trait prediction


This Collection supports and amplifies research related to SDG 2: Zero hunger.

Image credit: © deepblue4you / Getty Images / iStock

  1. Understanding plant hormonal responses to stress and their transport dynamics remains challenging, limiting advancements in enhancing plant resilience. Our study presents a novel approach that utilizes genetic...

    Authors: Shakeel Ahmed, Syed Muhammad Zaigham Abbas Naqvi, Muhammad Awais, Yongzhe Ren, Hao Zhang, Junfeng Wu, Linze Li, Vijaya Raghavan and Jiandong Hu
    Citation: BMC Bioinformatics 2025 26:64
  2. Antimicrobial peptides (AMPs) have been widely recognized as a promising solution to combat antimicrobial resistance of microorganisms due to the increasing abuse of antibiotics in medicine and agriculture aro...

    Authors: Zixin Chen, Chengming Ji, Wenwen Xu, Jianfeng Gao, Ji Huang, Huanliang Xu, Guoliang Qian and Junxian Huang
    Citation: BMC Bioinformatics 2025 26:10
  3. The preservation of soil health is a critical challenge in the 21st century due to its significant impact on agriculture, human health, and biodiversity. We provide one of the first comprehensive investigation...

    Authors: Rosa Aghdam, Xudong Tang, Shan Shan, Richard Lankau and Claudia Solís-Lemus
    Citation: BMC Bioinformatics 2024 25:366
  4. The study focuses on enhancing the effectiveness of precision agriculture through the application of deep learning technologies. Precision agriculture, which aims to optimize farming practices by monitoring an...

    Authors: J. Logeshwaran, Durgesh Srivastava, K. Sree Kumar, M. Jenolin Rex, Amal Al-Rasheed, Masresha Getahun and Ben Othman Soufiene
    Citation: BMC Bioinformatics 2024 25:341

Submission Guidelines

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This Collection welcomes submission of original research, software and database articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Bioinformatics in agriculture" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.