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 …
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 …
the breeding cycle in major crops relevant for sustaining present demands for food, feed …
Deep learning for plant genomics and crop improvement
Our era has witnessed tremendous advances in plant genomics, characterized by an
explosion of high-throughput techniques to identify multi-dimensional genome-wide …
explosion of high-throughput techniques to identify multi-dimensional genome-wide …
Machine learning in plant science and plant breeding
Technological developments have revolutionized measurements on plant genotypes and
phenotypes, leading to routine production of large, complex data sets. This has led to …
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 …
consideration. However, global agricultural systems are coming under increasing pressure …
Accelerating climate resilient plant breeding by applying next-generation artificial intelligence
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 …
imperative to ensure continued food security, biomass production, and ecosystem services …
Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
The first paradigm of plant breeding involves direct selection-based phenotypic observation,
followed by predictive breeding using statistical models for quantitative traits constructed …
followed by predictive breeding using statistical models for quantitative traits constructed …
Machine learning: its challenges and opportunities in plant system biology
Sequencing technologies are evolving at a rapid pace, enabling the generation of massive
amounts of data in multiple dimensions (eg, genomics, epigenomics, transcriptomic …
amounts of data in multiple dimensions (eg, genomics, epigenomics, transcriptomic …
Applications and trends of machine learning in genomics and phenomics for next-generation breeding
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 …
balance between crop production and food consumption is continually threatened by plant …
Machine learning-assisted approaches in modernized plant breeding programs
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 …
for increasing food security. A wide range of high-throughput omics technologies have been …