Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for maize QTL mapping

Stomata are adjustable pores on leaf surfaces that regulate the tradeoff of CO(2) uptake with water vapor loss, thus having critical roles in controlling photosynthetic carbon gain and plant water use. The lack of easy, rapid methods for phenotyping epidermal cell traits have limited discoveries abo...

Descripción completa

Detalles Bibliográficos
Autores principales: Xie, Jiayang, Fernandes, Samuel B, Mayfield-Jones, Dustin, Erice, Gorka, Choi, Min, E Lipka, Alexander, Leakey, Andrew D B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Regular Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566313/
https://www.ncbi.nlm.nih.gov/pubmed/34618057
http://dx.doi.org/10.1093/plphys/kiab299

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566313/
https://www.ncbi.nlm.nih.gov/pubmed/34618057
http://dx.doi.org/10.1093/plphys/kiab299

Ejemplares similares