Inference of population effect and progeny selection via a multi-trait index in soybean breeding
Título del documento: Inference of population effect and progeny selection via a multi-trait index in soybean breeding
Revista: Acta scientiarum. Agronomy
Base de datos: PERIÓDICA
Número de sistema: 000459909
ISSN: 1679-9275
Autores: 1
2
2
1
1
1
Instituciones: 1Universidade Federal de Vicosa, Departamento de Fitotecnia, Vicosa, Minas Gerais. Brasil
2Universidade Federal de Vicosa, Departamento de Biologia Geral, Vicosa, Minas Gerais. Brasil
Año:
Volumen: 43
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental, analítico
Resumen en inglés The selection of superior genotypes of soybean entails a simultaneous evaluation of a number of favorable traits that provide a comparatively superior yield. Disregarding the population effect in the statistical model may compromise the estimate of variance components and the prediction of genetic values. The present study was undertaken to investigate the importance of including population effect in the statistical model and to determine the effectiveness of the index based on factor analysis and ideotype design via best linear unbiased prediction (FAI-BLUP) in the selection of erect, early, and high-yielding soybean progenies. To attain these objectives, 204 soybean progenies originating from three populations were examined for various traits of agronomic interest. The inclusion of the population effect in the statistical model was relevant in the genetic evaluation of soybean progenies. To quantify the effectiveness of the FAI-BLUP index, genetic gains were predicted and compared with those obtained by the Smith-Hazel and Additive Genetic indices. The FAI-BLUP index was effective in the selection of progenies with balanced, desirable genetic gains for all traits simultaneously. Therefore, the FAI-BLUP index is an adequate tool for the simultaneous selection of important traits in soybean breeding
Disciplinas: Agrociencias
Palabras clave: Leguminosas,
Genotipo-ambiente,
Soya,
Análisis factorial
Keyword: Legumes,
Genotype-environment,
Soybean,
Factor analysis
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