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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Gonçalves, Mateus Teles Vital, Morota, Gota, Costa, Paulo Mafra de Almeida, Vidigal, Pedro Marcus Pereira, Barbosa, Marcio Henrique Pereira, Peternelli, Luiz Alexandre
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2021
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7932073/
https://ncbi.nlm.nih.gov/pubmed/33661948
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0236853
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados