Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits
- DOI
- 10.1371/journal.pone.0236853
- Published
- 2021-03-04
- Container
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0236853,
title = {Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits},
author = {Mateus Teles Vital Gonçalves and Gota Morota and Paulo Mafra de Almeida Costa and Pedro Marcus Pereira Vidigal and Marcio Henrique Pereira Barbosa and Luiz Alexandre Peternelli},
year = {2021},
journal = {PLOS ONE},
doi = {10.1371/journal.pone.0236853},
url = {https://doi.org/10.1371/journal.pone.0236853}
}RIS
TY - JOUR TI - Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits AU - Mateus Teles Vital Gonçalves AU - Gota Morota AU - Paulo Mafra de Almeida Costa AU - Pedro Marcus Pereira Vidigal AU - Marcio Henrique Pereira Barbosa AU - Luiz Alexandre Peternelli PY - 2021 JO - PLOS ONE DO - 10.1371/journal.pone.0236853 UR - https://doi.org/10.1371/journal.pone.0236853 ER -
APA
Gonçalves, M. T. V., Morota, G., Costa, P. M. D. A., Vidigal, P. M. P., Barbosa, M. H. P., & Peternelli, L. A. (2021). Near-infrared spectroscopy outperforms genomics for predicting sugarcane feedstock quality traits. PLOS ONE. https://doi.org/10.1371/journal.pone.0236853
Source records
- crossref · retrieved 2026-11-05T05:12:25.812Z