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Utilizing random regression models for genomic prediction of a longitudinal trait derived from high‐throughput phenotyping
The accessibility of high‐throughput phenotyping platforms in both the greenhouse and field, as well as the relatively low cost of unmanned aerial vehicles, has provided researchers with an effective means to characterize large populations throughout the growing season. These longitudinal phenotypes...
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| Publicado no: | Plant Direct |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6508851/ https://ncbi.nlm.nih.gov/pubmed/31245746 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/pld3.80 |
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