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Related Experiment Video

Updated: Jun 29, 2025

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
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Engineering the future cereal crops with big biological data: toward intelligence-driven breeding by design.

Lei Liu1, Jimin Zhan1, Jianbing Yan1

  • 1National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, Hubei 430070, China.

Journal of Genetics and Genomics = Yi Chuan Xue Bao
|March 26, 2024
PubMed
Summary

Breeding advanced crop varieties is crucial for global food security amidst climate change. Intelligence-driven breeding by design accelerates the development of high-yield, adaptable, and quality cereal crops like rice, maize, and wheat.

Keywords:
Artificial intelligenceBig biological dataCropCrop design breedingMulti-omic

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Area of Science:

  • Agricultural Science
  • Plant Breeding
  • Genomics

Background:

  • Feeding a projected 10 billion people presents a significant challenge, exacerbated by unpredictable climate change.
  • Crop breeding has historically ensured global food supply, but current methods may not meet future demands for productivity, quality, and adaptability.

Purpose of the Study:

  • To review recent advancements in cereal crop breeding, focusing on intelligence-driven breeding by design.
  • To explore how new techniques and big data can accelerate the development of superior crop varieties.

Main Methods:

  • Review of current knowledge in crop agronomic traits.
  • Analysis of newly developed breeding techniques.
  • Examination of crop big biological data research.

Main Results:

  • Intelligence-driven breeding by design integrates diverse data and techniques.
  • This approach is shaping a new era in crop breeding practices and future crop architectures.
  • The review highlights the application of these concepts to major cereal crops: rice, maize, and wheat.

Conclusions:

  • Intelligence-driven breeding by design is a viable strategy to meet future food demands.
  • This approach enables faster development of crops with enhanced productivity, quality, and adaptability.
  • The integration of big data and advanced techniques is revolutionizing cereal crop improvement.