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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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| 出版年: | Theor Appl Genet |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer Berlin Heidelberg
2020
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| 主題: | |
| オンライン･アクセス: | 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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