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Updated: Oct 20, 2025

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
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Fast-forward breeding for a food-secure world.

Rajeev K Varshney1, Abhishek Bohra2, Manish Roorkiwal3

  • 1Centre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India; State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch WA 6150, Western Australia, Australia; The UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6009, Australia.

Trends in Genetics : TIG
|September 17, 2021
PubMed
Summary

Sustainable crop production requires advanced breeding. Genome sequencing, trait mapping, and machine learning accelerate the development of improved crop varieties to feed a growing global population.

Keywords:
crop improvementfood securitygenetic gaingenome editinghaplotypespeed breeding

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Area of Science:

  • Agricultural Science
  • Genomics
  • Plant Breeding

Background:

  • Growing global population necessitates sustainable increases in crop production.
  • Genomic technologies and trait mapping are crucial for identifying beneficial plant alleles.
  • Integrating omics and phenotyping data with machine learning aids in understanding complex plant traits.

Purpose of the Study:

  • To outline strategies for accelerating crop improvement for future food security.
  • To highlight the role of advanced technologies in developing ideal crop varieties.

Main Methods:

  • Leveraging advances in genome sequencing and trait mapping.
  • Enhancing interoperability between omics and phenotyping platforms.
  • Utilizing machine learning for mechanistic explanations of plant traits.
  • Employing optimized breeding strategies and precise genome editing.

Main Results:

  • Accelerated availability of beneficial alleles for crop improvement.
  • Improved understanding of complex plant traits through integrated data analysis.
  • Potential for rapid assembly of desired genetic combinations in crops.

Conclusions:

  • Advanced breeding strategies integrating omics, phenotyping, and genome editing are key to future crop productivity.
  • Achieving significant yield increases is essential for global food security.