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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...

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Detalhes bibliográficos
Publicado no:Theor Appl Genet
Main Authors: Anche, Mahlet T., Kaczmar, Nicholas S., Morales, Nicolas, Clohessy, James W., Ilut, Daniel C., Gore, Michael A., Robbins, Kelly R.
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2020
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7497340/
https://ncbi.nlm.nih.gov/pubmed/32613265
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00122-020-03637-6
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