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High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat
BACKGROUND: Measurement of plant traits with precision and speed on large populations has emerged as a critical bottleneck in connecting genotype to phenotype in genetics and breeding. This bottleneck limits advancements in understanding plant genomes and the development of improved, high-yielding c...
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| Publicado no: | Gigascience |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6862935/ https://ncbi.nlm.nih.gov/pubmed/31742599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giz120 |
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