Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits

The main objectives of this study were to evaluate the prediction performance of genomic and near-infrared spectroscopy (NIR) data and whether the integration of genomic and NIR predictor variables can increase the prediction accuracy of two feedstock quality traits (fiber and sucrose content) in a...

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Detalles Bibliográficos
Autores principales: Gonçalves, Mateus Teles Vital, Morota, Gota, Costa, Paulo Mafra de Almeida, Vidigal, Pedro Marcus Pereira, Barbosa, Marcio Henrique Pereira, Peternelli, Luiz Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932073/
https://www.ncbi.nlm.nih.gov/pubmed/33661948
http://dx.doi.org/10.1371/journal.pone.0236853

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932073/
https://www.ncbi.nlm.nih.gov/pubmed/33661948
http://dx.doi.org/10.1371/journal.pone.0236853

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