Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks.

Westhues CC, Mahone GS, da Silva S, Thorwarth P, Schmidt M, Richter JC, Simianer H, Beissinger TM

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DOI: 10.3389/fpls.2021.699589
Published: 2021
Container: Frontiers in plant science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2021.699589,
  title = {Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks.},
  author = {Westhues CC and Mahone GS and da Silva S and Thorwarth P and Schmidt M and Richter JC and Simianer H and Beissinger TM},
  year = {2021},
  journal = {Frontiers in plant science},
  doi = {10.3389/fpls.2021.699589},
  url = {https://doi.org/10.3389/fpls.2021.699589}
}

RIS

TY  - JOUR
TI  - Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks.
AU  - Westhues CC
AU  - Mahone GS
AU  - da Silva S
AU  - Thorwarth P
AU  - Schmidt M
AU  - Richter JC
AU  - Simianer H
AU  - Beissinger TM
PY  - 2021
JO  - Frontiers in plant science
DO  - 10.3389/fpls.2021.699589
UR  - https://doi.org/10.3389/fpls.2021.699589
ER  -

APA

CC, W., GS, M., S, D. S., P, T., M, S., JC, R., H, S., & TM, B. (2021). Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks.. Frontiers in plant science. https://doi.org/10.3389/fpls.2021.699589

Source records

pubmed · retrieved 2026-09-26T13:28:43.972Z
europe-pmc · retrieved 2026-09-26T13:28:43.965Z
doaj · retrieved 2026-09-26T13:28:43.946Z