Precision design breeding of crops

intelligent combination of natural variation and intelligent creation of artificial variation

Autores

  • Muhammad Salman Iqbal China Agricultural University https://orcid.org/0009-0003-3422-2736
  • Abdul Ali Azam State Key Laboratory of Maize Bio-breeding, Frontiers Science Center for Molecular Design Breeding, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
  • Hai Wang State Key Laboratory of Maize Bio-breeding, Frontiers Science Center for Molecular Design Breeding, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China https://orcid.org/0000-0002-1722-1518

DOI:

https://doi.org/10.37856/revistadea.v101i3.4417

Resumo

Crop breeding is shifting from traditional empirical breeding toward BT+IT-driven precision design breeding. Improving the capacity of precision design breeding is of great significance for addressing global food security in the future. Future precision design breeding of crops will feature a "two-wheel drive" mode: intelligent hybrid breeding, based on genotypic/phenotypic/environmental data and breeding models, uses genomic prediction/selection to precisely design optimal combinations of natural variations and realize them through the most efficient crossing schemes; biotechnology-assisted breeding, empowered by artificial intelligence and synthetic evolution technologies, designs DNA and protein sequences that can be applied in gene-editing and synthetic biology. This review discusses the theoretical basis, technical approaches, and development trends of the precision design breeding paradigm in crops.

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Publicado

2026-08-24

Como Citar

IQBAL, Muhammad Salman; ALI AZAM, Abdul; WANG, Hai. Precision design breeding of crops: intelligent combination of natural variation and intelligent creation of artificial variation. REVISTA DE AGRICULTURA, Piracicaba, v. 101, n. 3, 2026. DOI: 10.37856/revistadea.v101i3.4417. Disponível em: https://revistadeagricultura.org.br/index.php/revistadeagricultura/article/view/4417. Acesso em: 24 ago. 2026.