Detalhe da pesquisa
1.
New insights into genomic selection through population-based non-parametric prediction methods
Sci. agric;
76(4): 290-298, July-Aug. 2019. tab
Artigo
em Inglês
|
LILACS-Express
| ID: biblio-1497790
2.
Triple categorical regression for genomic selection: application to cassava breeding
Sci. agric;
76(5): 368-375, Sept.-Oct. 2019. tab
Artigo
em Inglês
| VETINDEX
| ID: biblio-1497807
3.
New insights into genomic selection through population-based non-parametric prediction methods
Sci. agric.;
76(4): 290-298, July-Aug. 2019. tab
Artigo
em Inglês
| VETINDEX
| ID: vti-740882
4.
Triple categorical regression for genomic selection: application to cassava breeding
Sci. agric.;
76(5): 368-375, Sept.-Oct. 2019. tab
Artigo
em Inglês
| VETINDEX
| ID: vti-24488
5.
Quantitative genetics theory for genomic selection and efficiency of genotypic value prediction in open-pollinated populations
Sci. agric;
74(1): 41-50, 2017. tab
Artigo
em Inglês
| VETINDEX
| ID: biblio-1497617
6.
Quantitative genetics theory for genomic selection and efficiency of genotypic value prediction in open-pollinated populations
Sci. agric.;
74(1): 41-50, 2017. tab
Artigo
em Inglês
| VETINDEX
| ID: vti-684145
7.
Quantitative genetics theory for genomic selection and efficiency of breeding value prediction in open-pollinated populations
Sci. agric;
73(3): 243-251, 2016. tab
Artigo
em Inglês
| VETINDEX
| ID: biblio-1497565
8.
Quantitative genetics theory for genomic selection and efficiency of breeding value prediction in open-pollinated populations
Sci. agric.;
73(3): 243-251, 2016. tab
Artigo
em Inglês
| VETINDEX
| ID: vti-684192