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Machine learning in plant science and plant breeding

Aalt D. J. van Dijk, Gert Kootstra, Willem Kruijer, Dick de Ridder • iScience (2020)

Technological developments have revolutionized measurements on plant genotypes and phenotypes, leading to routine production of large, complex data sets. This has led to increased efforts to extract meaning from these measurements and to in...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.isci.2020.101890 PMC: 7750553

Genome-wide association analysis uncovers rice blast resistance alleles of Ptr and Pia

Julian R. Greenwood, Vanica Lacorte-Apostol, Thomas Kroj, Jonas Padilla et al. • Communications Biology (2024)

Abstract A critical step to maximize the usefulness of genome-wide association studies (GWAS) in plant breeding is the identification and validation of candidate genes underlying genetic associations. This is of particular importance in dis...

DOAJ Open Access (DOAJ) DOI: 10.1038/s42003-024-06244-z

Artificial intelligence in plant breeding

Muhammad Amjad Farooq, Shang Gao, Muhammad Adeel Hassan, Zhangping Huang et al. • Trends in Genetics (2024)

Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data analysis and pattern recognition, and is revolutionizing nume...

OPENALEX cc-by-nc DOI: https://doi.org/10.1016/j.tig.2024.07.001