Multi-task Gaussian process for imputing missing data in multi-trait and multi-environment trials
Na minha lista:
Principais autores: | Hori, T., Montcho, D., Agbangla, C., Ebana, K., Futakuchi, K., Iwata, H. |
---|---|
Formato: | Journal Article biblioteca |
Idioma: | English |
Publicado em: |
Springer
2016-11
|
Assuntos: | genomics, data, environment, kriging, phenotypic variation, |
Acesso em linha: | https://hdl.handle.net/10568/116495 https://doi.org/10.1007/s00122-016-2760-9 |
Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
Registros relacionados
-
Model for multiple imputation to estimate daily rainfall data and filling of faults.
por: CARVALHO, J. R. P. de, et al.
Publicado em: (2017-12-21) -
Spatio-temporal modeling of data imputation for daily rainfall series in homogeneous zones.
por: CARVALHO, J. R. P. de, et al.
Publicado em: (2016-07-05) -
Phenotypic evaluation of a multi-location cassava breeding trial to improve a genomic selection training population
por: Uchendu, U.K., et al.
Publicado em: (2013-09) -
Multi-species weed spatial variability and site-specific management maps in cultivated sunflower
por: Jurado-Expósito, Montserrat, et al.
Publicado em: (2003-05) -
The modern plant breeding triangle: optimizing the use of genomics, phenomics, and enviromics data
por: Crossa, J., et al.
Publicado em: (2021)