Selecting common bean breeding populations via mixed models
Choosing breeding populations in a common bean (Phaseolus vulgaris L.) breeding program by recurrent selection is a crucial step, since it maximize the effort to find superior inbred lines. The application of mixed models methodology (REML/BLUP) in predicting breeding values has shown good results in animal and perennial crops breeding programs, while in annual crops its utilization still needs further results. We aimed to use the REML/BLUP methodology in selecting breeding populations in a common bean breeding program by recurrent selection. We evaluated thirty-five F3 populations in which individual plants data were assessed for grain yield and hypocotyl diameter and estimated the genetic potential of the population through mixed models and Jinks and Pooni methodologies. A selection index was used in order to select among and within population considering both characters simultaneously, through the population and individual BLUP means. The REML/BLUP has shown feasible to predict the potential of breeding populations as well as to select those populations, considering more than one characters. Selecting individual plants within population allows positive genetic gain estimates for both characters. BLUP breeding values are of great importance to choose the number of populations and single plants to be conducted in a common bean breeding program by recurrent selection.
The copyright for articles published in this journal belong to the authors, with first publication rights granted to the journal. In virtue of their appearance in this journal of open access, the articles are free to use, with proper attribution, in educational and non- commercial applications.
Authors who publish in this journal agree to the following terms:
Authors retain the copyright and waiver the journal the right of first publication, with the work simultaneously licensed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), allowing the sharing of work with authorship recognition and preventing its commercial use.
Authors are authorized to take additional contracts separately, for non-exclusive distribution of the version of the work published in this journal (publish in institutional repository or as a book chapter), with acknowledgment of authorship and initial publication in this journal.