Temporal covariance structure of multi-spectral phenotypes and their predictive ability for end-of-season traits in maize

KEY MESSAGE: Heritable variation in phenotypes extracted from multi-spectral images (MSIs) and strong genetic correlations with end-of-season traits indicates the value of MSIs for crop improvement and modeling of plant growth curve. ABSTRACT: Vegetation indices (VIs) derived from multi-spectral ima...

Descripción completa

Detalles Bibliográficos
Autores principales: Anche, Mahlet T., Kaczmar, Nicholas S., Morales, Nicolas, Clohessy, James W., Ilut, Daniel C., Gore, Michael A., Robbins, Kelly R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497340/
https://www.ncbi.nlm.nih.gov/pubmed/32613265
http://dx.doi.org/10.1007/s00122-020-03637-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497340/
https://www.ncbi.nlm.nih.gov/pubmed/32613265
http://dx.doi.org/10.1007/s00122-020-03637-6

Ejemplares similares