Frontiers in Plant Science (Oct 2023)

Deep learning-empowered crop breeding: intelligent, efficient and promising

  • Xiaoding Wang,
  • Haitao Zeng,
  • Limei Lin,
  • Yanze Huang,
  • Hui Lin,
  • Youxiong Que,
  • Youxiong Que

DOI
https://doi.org/10.3389/fpls.2023.1260089
Journal volume & issue
Vol. 14

Abstract

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Crop breeding is one of the main approaches to increase crop yield and improve crop quality. However, the breeding process faces challenges such as complex data, difficulties in data acquisition, and low prediction accuracy, resulting in low breeding efficiency and long cycle. Deep learning-based crop breeding is a strategy that applies deep learning techniques to improve and optimize the breeding process, leading to accelerated crop improvement, enhanced breeding efficiency, and the development of higher-yielding, more adaptive, and disease-resistant varieties for agricultural production. This perspective briefly discusses the mechanisms, key applications, and impact of deep learning in crop breeding. We also highlight the current challenges associated with this topic and provide insights into its future application prospects.

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