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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidade Estadual de Maringá
2018
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| Online Access: | https://www.redalyc.org/articulo.oa?id=303058204045 https://www.redalyc.org/journal/3030/303058204045/ https://www.redalyc.org/journal/3030/303058204045/html/ https://www.redalyc.org/journal/3030/303058204045/303058204045.epub https://www.redalyc.org/journal/3030/303058204045/movil |
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Table of Contents:
- Strategies to select soybean segregating populations with the goal of improving agronomic traits Fabiana Mota da Silva Elise de Matos Pereira Bruno Henrique Pedroso Val Dilermando Perecin Antonio Orlando Di Mauro Sandra Helena Unêda-Trevisoli Agrociencias Glycine max mixed model genetic gain breeding methods The success of breeding programs depends on selection procedures and on the breeding methods adopted for selecting segregating populations. The objective of this study was to evaluate the efficiency of the Bulk method with selection in the F3 generation (BulkF3) compared to that of Bulk method as well as determine the most effective selection strategy in terms of genetic gain. Twenty segregating populations were selected by two methods. The 60 best families of each method were selected according to their average agronomic performance. An augmented block design was used. The following agronomic traits were evaluated: insertion height of first pod, plant height at maturity, number of branches and of pods per plant, 100-seed weight, and grain yield. For comparison of the methods, genetic component estimates, genetic gain and predicted breeding values were calculated using mixed models (REML and BLUP). The results showed the families obtained with the BulkF3 method were more productive, showed suitable plant height, a larger number of branches and pods, and higher 100-seed weight. The BulkF3 method was found to be an effective selection strategy for soybean improvement. 2018 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303058204045 https://www.redalyc.org/journal/3030/303058204045/ https://www.redalyc.org/journal/3030/303058204045/html/ https://www.redalyc.org/journal/3030/303058204045/303058204045.epub https://www.redalyc.org/journal/3030/303058204045/movil 10.4025/actasciagron.v40i1.39324 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Vol.40