Machine learning bridges omics sciences and plant breeding

J Yan, X Wang - Trends in Plant Science, 2023 - cell.com
Some of the biological knowledge obtained from fundamental research will be implemented
in applied plant breeding. To bridge basic research and breeding practice, machine learning …

[HTML][HTML] Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data

H Tong, Z Nikoloski - Journal of plant physiology, 2021 - Elsevier
Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of
the breeding cycle in major crops relevant for sustaining present demands for food, feed …

Deep learning for plant genomics and crop improvement

H Wang, E Cimen, N Singh, E Buckler - Current opinion in plant biology, 2020 - Elsevier
Our era has witnessed tremendous advances in plant genomics, characterized by an
explosion of high-throughput techniques to identify multi-dimensional genome-wide …

Machine learning in plant science and plant breeding

ADJ van Dijk, G Kootstra, W Kruijer, D de Ridder - Iscience, 2021 - cell.com
Technological developments have revolutionized measurements on plant genotypes and
phenotypes, leading to routine production of large, complex data sets. This has led to …

Multi-omics revolution to promote plant breeding efficiency

U Mahmood, X Li, Y Fan, W Chang, Y Niu, J Li… - Frontiers in Plant …, 2022 - frontiersin.org
Crop production is the primary goal of agricultural activities, which is always taken into
consideration. However, global agricultural systems are coming under increasing pressure …

Accelerating climate resilient plant breeding by applying next-generation artificial intelligence

AL Harfouche, DA Jacobson, D Kainer, JC Romero… - Trends in …, 2019 - cell.com
Breeding crops for high yield and superior adaptability to new and variable climates is
imperative to ensure continued food security, biomass production, and ecosystem services …

Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction

Y Xu, X Zhang, H Li, H Zheng, J Zhang, MS Olsen… - Molecular Plant, 2022 - cell.com
The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …

Machine learning: its challenges and opportunities in plant system biology

M Hesami, M Alizadeh, AMP Jones… - Applied Microbiology and …, 2022 - Springer
Sequencing technologies are evolving at a rapid pace, enabling the generation of massive
amounts of data in multiple dimensions (eg, genomics, epigenomics, transcriptomic …

Applications and trends of machine learning in genomics and phenomics for next-generation breeding

S Esposito, D Carputo, T Cardi, P Tripodi - Plants, 2019 - mdpi.com
Crops are the major source of food supply and raw materials for the processing industry. A
balance between crop production and food consumption is continually threatened by plant …

Machine learning-assisted approaches in modernized plant breeding programs

M Yoosefzadeh Najafabadi, M Hesami, M Eskandari - Genes, 2023 - mdpi.com
In the face of a growing global population, plant breeding is being used as a sustainable tool
for increasing food security. A wide range of high-throughput omics technologies have been …