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Big data and artificial intelligence-aided crop breeding: Progress and prospects.

Wanchao Zhu1,2, Weifu Li3,4, Hongwei Zhang5

  • 1Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, College of Agronomy, Northwest A&F University, Yangling, 712100, China.

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|October 28, 2024
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Summary
This summary is machine-generated.

Advancements in biological big data and artificial intelligence accelerate crop breeding. Intelligent Precision Design Breeding (IPDB) offers a predictable, efficient, and cost-effective approach for future crop development.

Keywords:
artificial intelligencebiological big databreedingprecision design breedingsystems biology

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Area of Science:

  • Agricultural Science
  • Genetics
  • Bioinformatics

Background:

  • Rapid progress in gene discovery, biological big data (BBD), and artificial intelligence (AI) is transforming agriculture.
  • Increasing global food demand necessitates accelerated crop breeding strategies.

Purpose of the Study:

  • To review current crop breeding methods and identify needs for innovation.
  • To explore the integration of BBD and AI for advanced genetic analysis and prediction.
  • To propose Intelligent Precision Design Breeding (IPDB) as a novel AI-driven breeding paradigm.

Main Methods:

  • Review of existing breeding techniques and literature on BBD and AI applications.
  • Analysis of AI and BBD integration for genetic dissection, functional gene exploration, and phenotypic prediction.
  • Conceptualization and proposal of the IPDB framework and its implementation strategies.

Main Results:

  • BBD and AI integration enables enhanced genetic dissection, functional gene discovery, and accurate phenotypic prediction.
  • The proposed IPDB framework aims to improve the predictability, efficiency, and cost-effectiveness of crop breeding.
  • CropGPT exemplifies IPDB by integrating biological techniques, bioinformatics, and breeding expertise into a cooperative system.

Conclusions:

  • IPDB, powered by AI, represents a significant advancement over current crop breeding technologies.
  • IPDB offers integrated platforms and services for diverse stakeholders, fostering collaboration in crop improvement.
  • The proposed system is well-suited to address future challenges in crop breeding and food security.