Please use this identifier to cite or link to this item:
Title: Adding genome-wide genotypic information to a tobacco (Nicotiana tabacum) breeding programme
Keywords: Breeding
Genome wide selection
Tabaco - Melhoramento genético
Seleção genômica ampla
Issue Date: Jan-2022
Publisher: John Wiley & Sons
Citation: CARVALHO, B. L. et al. Adding genome-wide genotypic information to a tobacco (Nicotiana tabacum) breeding programme. Plant Breeding, [S. I.], v. 141, n. 1, p. 133-141, Feb. 2022. DOI:
Abstract: Large-scale genotypic information can be used to increase genetic gain in plant breeding programmes. In this research, we evaluated the following: (i) statistical models that could be useful in selection of superior tobacco genotypes in absence of phenotypic information; (ii) the applicability of genome-wide selection (GWS) for predicting tobacco hybrid performance, and (iii) correlations between genetic divergence of parental lines and F1 hybrid performance. We crossed 13 inbred lines of flue-cured Virginia tobacco crossed in a diallel scheme to generate 72 hybrid combinations and evaluated them in two field environments. Genotype by sequencing was used for single nucleotide polymorphism (SNP) marker generation, and prediction model validation was performed with different levels of missing information. Hybrid performance was predicted using only the genotypic and phenotypic information. We found genetic divergence among lines to be uncorrelated with hybrid performance or heterosis. Genotype × environment interaction affects GWS efficiency, however, and an index that incorporates both genotypic and phenotypic information improves selection accuracy. Tobacco hybrid prediction utilizing GWS data can be used as additional information to increase the response to selection.
Appears in Collections:DAG - Artigos publicados em periódicos

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.