| Revista: | Scientia Agricola |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000455533 |
| ISSN: | 0103-9016 |
| Autores: | Miranda, Taiana Lopes Rangel1 Resende, Marcos Deon Vilela de2 Azevedo, Camila Ferreira1 Nunes, Andrei Caíque Pires3 Takahashi, Elizabete Keiko4 Simiqueli, Guilherme Ferreira5 Silva, Fabyano Fonseca e6 Alves, Rodrigo Silva7 |
| Instituciones: | 1Universidade Federal de Vicosa, Departamento de Estatistica, Vicosa, Minas Gerais. Brasil 2Empresa Brasileira de Pesquisa Agropecuaria, Cafe, Brasilia, Distrito Federal. Brasil 3Universidade Federal da Bahia, Centro de Formacao em Ciencias e Tecnologias Agroflorestais, Itabuna, Bahia. Brasil 4Celulose Nipo-Brasileira S.A., Belo Oriente, Minas Gerais. Brasil 5Universidade Federal de Vicosa, Departamento de Biologia Geral, Vicosa, Minas Gerais. Brasil 6Universidade Federal de Vicosa, Departamento de Zootecnia, Vicosa, Minas Gerais. Brasil 7Universidade Federal de Lavras, Instituto Nacional de Ciencia e Tecnologia do Cafe, Lavras, Minas Gerais. Brasil |
| Año: | 2022 |
| Volumen: | 79 |
| Número: | 6 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, analítico |
| Resumen en inglés | The Fisher’s infinitesimal model is traditionally used in quantitative genetics and genomic selection, and it attributes most genetic variance to additive variance. Recently, the dominance maximization model was proposed and it prioritizes the dominance variance based on alternative parameterizations. In this model, the additive effects at the locus level are introduced into the model after the dominance variance is maximized. In this study, the new parameterizations of additive and dominance effects on quantitative genetics and genomic selection were evaluated and compared with the parameterizations traditionally applied using the genomic best linear unbiased prediction method. As the parametric relative magnitude of the additive and dominance effects vary with allelic frequencies of populations, we considered different minor allele frequencies to compare the relative magnitudes. We also proposed and evaluated two indices that combine the additive and dominance variances estimated by both models. The dominance maximization model, along with the two indices, offers alternatives to improve the estimates of additive and dominance variances and their respective proportions and can be successfully used in genetic evaluation |
| Disciplinas: | Agrociencias, Biología |
| Palabras clave: | Genética, Fitotecnia, Modelos biológicos, Selección genética, REML/BLUP, Mejoramiento genético |
| Keyword: | Genetics, Crop husbandry, Biological models, REML/BLUP, Genetic selection, Plant breeding |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
