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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:PLoS One
Hlavní autoři: Gonçalves, Mateus Teles Vital, Morota, Gota, Costa, Paulo Mafra de Almeida, Vidigal, Pedro Marcus Pereira, Barbosa, Marcio Henrique Pereira, Peternelli, Luiz Alexandre
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2021
Témata:
Research Article
On-line přístup: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
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky