Multi-trait genomic prediction for nitrogen response indices in tropical maize hybrids

Autor(es)

Lyra, Danilo Hottis ; Mendonca, Leandro de Freitas ; Galli, Giovanni ; Alves, Filipe Couto ; Correia Granato, Italo Stefanine ; Fritsche-Neto, Roberto

• Tipo de documento: Artigo Científico
• Fonte: MOLECULAR BREEDING; v. 37, n. 6 JUN 2017.
• Citações Web of Science: 11

Resumo

In maize breeding, genomic prediction may be an efficient tool for selecting single-crosses evaluated under abiotic stress conditions. In addition, a promising strategy is applying multiple-trait genomic prediction using selection indices (SIs), increasing genetics gains and reducing time per cycles. In this study, we aimed (i) to compare accuracy of single-and multi-trait genomic prediction (STGP; MTGP) in two maize datasets, (ii) to evaluate prediction of four selection indices that could contribute to the selection of tropical maize hybrids under contrasting nitrogen conditions, and (iii) to compare the use of linear (GBLUP) and nonlinear (RKHS/GK) kernels in STGP and MTGP analyses. For either single-trait GBLUP and RKHS analyses, the highest values obtained for accuracy were 0.40 and 0.41 using harmonic mean (HM), respectively. From multi-trait GBLUP and GK, using the combination of selection indices in MTGP seems to be suitable, increasing the accuracy. Adding grain yield and plant height in MTGP showed a slight improvement in accuracy compared to STGP. In general, there was a modest benefit of using single-trait RKHS and GK multi-trait, rather than GBLUP. (AU)

• Processo FAPESP: 13/24135-2 - Associação genômica para eficiência no uso de nitrogênio e seus componentes em linhagens de milho tropical
• Beneficiário: Roberto Fritsche Neto
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 14/26326-2 - Acurácia de modelos não-aditivos de seleção genômica para eficiência no uso de nitrogênio em híbridos de milho tropical
• Beneficiário: Danilo Hottis Lyra
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 15/14376-8 - Acurácia de modelos não-aditivos e estrutura populacional de seleção genômica de milho
• Beneficiário: Danilo Hottis Lyra
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado