Revista: | Acta scientiarum. Agronomy |
Base de datos: | PERIÓDICA |
Número de sistema: | 000460066 |
ISSN: | 1679-9275 |
Autores: | Lopes, Karla Bianca de Almeida1 Pípolo, Antônio Eduardo2 Bazzo, José Henrique Bizzarri1 Zucareli, Claudemir1 |
Instituciones: | 1Universidade Estadual de Londrina, Departamento de Agronomia, Londrina, Parana. Brasil 2Empresa Brasileira de Pesquisa Agropecuaria, Soja, Londrina, Parana. Brasil |
Año: | 2020 |
Volumen: | 42 |
País: | Brasil |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Experimental, analítico |
Resumen en inglés | Selecting genotypes that combine high productivity with high seed quality is a challenge. The exploration of intracultivar genetic variation is an alternative to significantly increase the annual genetic gain and maximize the selection efficiency for both characteristics. The present study aimed to identify intracultivar variation to improve the seed quality of soybean genotypes derived from the commercial cultivar BRS 284, selected using the HSD (Honeycomb Selection Designs) model. Soybean genotypes selected for two years from two environments with contrasting edaphoclimatic characteristics, according to the principles of the HSD selection model, were cultivated under competition by using the experimental model in randomized blocks with four replicates and evaluated regarding the productivity and physiological quality of seeds. The results showed that genotype 284-3 presented a greater mass of 100 seeds, germination, vigour after accelerated ageing test, seedling emergence and emergence speed index than the other genotypes in both environments, with no significant difference in the standard cultivar regarding seed yield. The HSD method was an efficient selection method to identify intracultivar variation to improve cultivar performance |
Disciplinas: | Agrociencias |
Palabras clave: | Fitotecnia, Leguminosas, Soya, Glycine max, Germinación, Calidad de la semilla |
Keyword: | Legumes, Crop husbandry, Soybean, Glycine max, Germination, Seed quality |
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