Effective population size and genetic gain expected in a population of Coffea canephora

dc.contributor.authorResende, Marcos Deon Vilela de
dc.contributor.authorMistro, Júlio César
dc.contributor.authorFazuoli, Luiz Carlos
dc.contributor.authorVencovsky, Roland
dc.date.accessioned2019-05-29T14:08:09Z
dc.date.available2019-05-29T14:08:09Z
dc.date.issued2019-03
dc.description.abstractThis work aimed to study the effective population size and genetic gain in a population of robusta coffee (Coffea canephora Pierre) and verify the possibility of using recurrent selection. The experiment comprised 25 treatments, consisting of 21 C. canephora progenies and four C. arabica (cultivars) grown in Brazil. The experimental design was a 5x5 quadruple balanced lattice, with 24 replications, with one plant per plot. Six harvests were performed in each plant. Statistical analysis was carried out using the mixed model methodology. The analysis showed high additive genetic variability, and the magnitude of the additive components prevailed over that of the dominance components. These facts revealed the plant population liability to undergo recurrent selection, whose expected genetic gains were high. Results suggest that the effective population size and inbreeding degree throughout recurrent selection cycles be monitored. During selective cycles, cloning with weak selection is required due to few progenies.en
dc.formatpdfpt-BR
dc.identifier.issn1984-7033
dc.identifier.urihttp://dx.doi.org/10.1590/1984-70332019v19n1a01
dc.identifier.urihttp://www.locus.ufv.br/handle/123456789/25610
dc.language.isoengpt-BR
dc.publisherCrop Breeding and Applied Biotechnologypt-BR
dc.relation.ispartofseriesv. 19, p. 1-7, jan./ mar. 2019pt-BR
dc.rightsOpen Accesspt-BR
dc.subjectRobusta coffeept-BR
dc.subjectQuantitative geneticspt-BR
dc.subjectInbreedingpt-BR
dc.subjectAdditive componentspt-BR
dc.titleEffective population size and genetic gain expected in a population of Coffea canephoraen
dc.typeArtigopt-BR

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
artigo.pdf
Size:
322.14 KB
Format:
Adobe Portable Document Format
Description:
Texto completo

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections