期刊
ACTA SCIENTIARUM-AGRONOMY
卷 43, 期 -, 页码 -出版社
UNIV ESTADUAL MARINGA, PRO-REITORIA PESQUISA POS-GRADUACAO
DOI: 10.4025/actasciagron.v43i1.44623
关键词
mixed-model methodology; best linear unbiased prediction; selection index; genotype x environment; interaction; factor analysis; ideotype design
类别
资金
- Brazilian Government by the National Council for Scientific and Technological Development (CNPq)
- Coordination for the Improvement of Higher Education Personnel (CAPES)
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil (CAPES) [001]
The inclusion of population effect in the statistical model is important for genetic evaluation of soybean progenies. The FAI-BLUP index is effective in simultaneously selecting progenies with balanced, desirable genetic gains.
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.
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