Data/hora: 28/05/2024 04:50:40

Biblioteca(s): | Embrapa Florestas.
Data corrente: | 12/03/2019
Data da última atualização: | 30/10/2019
Autoria: | CARVALHO, H. F.; SILVA, F. L. da; RESENDE, M. D. V. de; BHERING, L. L.
Afiliação: | Humberto Fanelli Carvalho, Instituto Agronômico; Felipe Lopes da Silva, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; Leonardo Lopes Bhering, UFV.
Título: | Selection and genetic parameters for interpopulation hybrids between kouilou and robusta coffee.
Ano de publicação: | 2019
Fonte/Imprenta: | Bragantia, Campinas, v. 78, n. 1, p. 52-59, Jan./Mar. 2019.
DOI: | 10.1590/1678-4499.2018124
Idioma: | Inglês
Conteúdo: | 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.
Palavras-Chave: | Intrapopulation selection; Mixed models; Multi-trait index.
Thesagro: | Café; Coffea Canephora.
Categoria do assunto: | G Melhoramento Genético
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/197470/1/2019-M.Deon-B-Selection.pdf
Registro original: | Embrapa Florestas (CNPF)
Exemplares: | CNPF - (56780-1) - UPC - AP - DD -  -  -  - DIS