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Transformation of Plant Breeding Using Data Analytics and Information Technology: Innovations, Applications, and

Mohammad Muzahidur Rahman Bhuiyan1, Inshad Rahman Noman2, Md Munna Aziz1

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Modern plant breeding integrates advanced genetics and data science for faster, more precise crop improvement. This data-driven approach enhances yield, resilience, and sustainability for global food security.

Keywords:
breeding techniquesdata analyticsinformation technologyplant breedingtechnologies

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Area of Science:

  • Agricultural Science
  • Genetics
  • Data Science

Background:

  • Traditional plant breeding methods (mass selection, cross-breeding) have limitations in precision and efficiency.
  • Advanced molecular techniques and data analytics are revolutionizing crop improvement.
  • Emerging technologies like machine learning and IoT offer real-time plant performance insights.

Purpose of the Study:

  • To review the evolution of plant breeding from traditional to data-driven approaches.
  • To highlight the role of information technology (IT) and data analytics in modern plant breeding.
  • To discuss future trends and the importance of interdisciplinary collaboration.

Main Methods:

  • Review of conventional and molecular breeding techniques.
  • Analysis of data analytics, IT, machine learning, high-throughput phenotyping, and IoT applications.
  • Discussion of emerging technologies like artificial intelligence (AI) and blockchain.

Main Results:

  • Data-driven breeding enables precise selection of complex traits (yield, disease resistance, stress tolerance).
  • Integration of IT and data analytics enhances sustainable agriculture applications (crop yield, biofortification, climate adaptation).
  • Technological advancements promise increased data transparency, collaboration, and predictability.

Conclusions:

  • Data and IT-based breeding are crucial for future global food security and sustainable food production.
  • High-performing, resource-efficient crops are foundational for a sustainable agricultural vision.
  • Technological integration is essential for resilient food systems to address population growth and climate change.