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Article

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

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Oct 2020

Anche Mahlet T, Kaczmar Nicholas S, Morales Nicolas, Clohessy James W, Ilut Daniel C, Gore Michael A, Robbins Kelly R

Abstract excerpt

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. Vegetation indices (VIs) derived from multi-spectral imaging (MSI) platforms can be used to study properties of crop canopy, providing non-destructive phenotypes that could be used...

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Identifiers

PMID: 32613265
DOI: 10.1007/s00122-020-03637-6
PMCID: PMC7497340

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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