Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize

Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize

Bulliform cells comprise specialized cell types that develop on the adaxial (upper) surface of grass leaves, and are patterned to form linear rows along the proximodistal axis of the adult leaf blade. Bulliform cell patterning affects leaf angle and is presumed to function during leaf rolling, there...

Full description

Bibliographic Details
Main Authors: Pengfei Qiao, Meng Lin, Miguel Vasquez, Susanne Matschi, James Chamness, Matheus Baseggio, Laurie G. Smith, Mert R. Sabuncu, Michael A. Gore, Michael J. Scanlon
Format: Article
Language:English
Published: Oxford University Press 2019-12-01
Series:G3: Genes, Genomes, Genetics
Subjects:
machine learning
development
bulliform cell
gwas
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.119.400757

Internet

http://g3journal.org/lookup/doi/10.1534/g3.119.400757

Similar Items