Cargando…
Factor analysis applied in genomic selection studies in the breeding of Coffea canephora
Brazil stands out worldwide in the production of coffee. The observed increases in its productivity and morpho agronomic traits are the results of the improvement of several methodologies applied in obtaining improved cultivars, among which the predictive methods of genetic value stand out. These co...
Autores principales: | Paixão, Pedro Thiago Medeiros, Nascimento, Ana Carolina Campana, Nascimento, Moysés, Azevedo, Camila Ferreira, Oliveira, Gabriela França, da Silva, Felipe Lopes, Caixeta, Eveline Teixeira |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918905/ https://www.ncbi.nlm.nih.gov/pubmed/35310815 http://dx.doi.org/10.1007/s10681-022-02998-x |
Ejemplares similares
-
Marker effects and heritability estimates using additive-dominance genomic architectures via artificial neural networks in Coffea canephora
por: Coelho de Sousa, Ithalo, et al.
Publicado: (2022) -
Designing the best breeding strategy for Coffea canephora: Genetic evaluation of pure and hybrid individuals aiming to select for productivity and disease resistance traits
por: Alkimim, Emilly Ruas, et al.
Publicado: (2021) -
Identification of novel and conserved microRNAs in Coffea canephora and Coffea arabica
por: Loss-Morais, Guilherme, et al.
Publicado: (2014) -
Quantile regression in genomic selection for oligogenic traits in autogamous plants: A simulation study
por: Oliveira, Gabriela França, et al.
Publicado: (2021) -
Concentration of Nutrients in Leaves, Flowers, and Fruits of Genotypes of Coffea canephora
por: dos Santos, Millena Monteiro, et al.
Publicado: (2021)