Please use this identifier to cite or link to this item:
                
    
    http://www.alice.cnptia.embrapa.br/alice/handle/doc/1106924| Title: | Selection and genetic parameters for interpopulation hybrids between kouilou and robusta coffee. | 
| Authors: | CARVALHO, H. F.![]() ![]() SILVA, F. L. da ![]() ![]() RESENDE, M. D. V. de ![]() ![]() BHERING, L. L. ![]() ![]()  | 
| Affiliation: | Humberto Fanelli Carvalho, Instituto Agronômico; Felipe Lopes da Silva, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; Leonardo Lopes Bhering, UFV. | 
| Date Issued: | 2019 | 
| Citation: | Bragantia, Campinas, v. 78, n. 1, p. 52-59, Jan./Mar. 2019. | 
| Description: | Selection of hybrid coffee plants coming from crosses between divergent populations is particularly relevant for the success of breeding programs. This study aimed to outline the best selection strategy in a hybrid population of Coffea canephora var. kouilou and robusta by estimating intrapopulation genetic parameters. Twenty full-sib progenies obtained by North Caroline II were installed in a randomized complete blocks design, with one plant per elementary plot. The following traits were evaluated: vegetative vigor, reaction to rust, plant height, diameter of canopy projection, maturity time, and bean yield. Significant individual genotypic variance and heritability estimates lead to an effective selection. The multi-trait selection index carried out between progenies and at individual level provided 5% and 40% gain, respectively. Thus, intrapopulation selection in a hybrid population is a viable strategy for the selection of superior individuals to compose new crosses and clones for cultivars in the breeding program of C. canephora, even with unbalanced data. | 
| Thesagro: | Coffea Canephora Café  | 
| Keywords: | Mixed models Multi-trait index Intrapopulation selection  | 
| DOI: | 10.1590/1678-4499.2018124 | 
| Type of Material: | Artigo de periódico | 
| Access: | openAccess | 
| Appears in Collections: | Artigo em periódico indexado (CNPF)![]() ![]()  | 
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2019M.DeonBSelection.pdf | 911.47 kB | Adobe PDF | ![]() View/Open  | 
                  
                      
                    
                      







